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Human ex vivo 3D bone model recapitulates osteocyte response to metastatic prostate cancer.
- Source :
-
Scientific reports [Sci Rep] 2018 Dec 19; Vol. 8 (1), pp. 17975. Date of Electronic Publication: 2018 Dec 19. - Publication Year :
- 2018
-
Abstract
- Prostate cancer (PCa) is the second leading cause of cancer deaths among American men. Unfortunately, there is no cure once the tumor is established within the bone niche. Although osteocytes are master regulators of bone homeostasis and remodeling, their role in supporting PCa metastases remains poorly defined. This is largely due to a lack of suitable ex vivo models capable of recapitulating the physiological behavior of primary osteocytes. To address this need, we integrated an engineered bone tissue model formed by 3D-networked primary human osteocytes, with conditionally reprogrammed (CR) primary human PCa cells. CR PCa cells induced a significant increase in the expression of fibroblast growth factor 23 (FGF23) by osteocytes. The expression of the Wnt inhibitors sclerostin and dickkopf-1 (Dkk-1), exhibited contrasting trends, where sclerostin decreased while Dkk-1 increased. Furthermore, alkaline phosphatase (ALP) was induced with a concomitant increase in mineralization, consistent with the predominantly osteoblastic PCa-bone metastasis niche seen in patients. Lastly, we confirmed that traditional 2D culture failed to reproduce these key responses, making the use of our ex vivo engineered human 3D bone tissue an ideal platform for modeling PCa-bone interactions.
- Subjects :
- Biomarkers, Tumor
Bone Neoplasms metabolism
Cell Line, Tumor
Cell Survival
Fibroblast Growth Factor-23
Fluorescent Antibody Technique
Gene Expression
Humans
Immunohistochemistry
Male
Osteoblasts metabolism
Osteoblasts pathology
Osteocytes metabolism
Wnt Signaling Pathway
Bone Neoplasms diagnostic imaging
Bone Neoplasms secondary
Imaging, Three-Dimensional methods
Osteocytes pathology
Prostatic Neoplasms pathology
Subjects
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 8
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 30568232
- Full Text :
- https://doi.org/10.1038/s41598-018-36424-x