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J Biomed Nanotechnol ; 12(8): 1667-78, 2016 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-29342345

RESUMO

Most aggressive prostate cancer (PCa) types tend to metastasize frequently to bone and SPARC, a matricellular protein, might participate in such biological processes. The objective of this study was to evaluate the effect of SPARC in prostate carcinogenesis and bone metastization. This was explored assessing the morphology, metabolic activity and SPARC expression of different PCa cell lines resembling different stages of carcinogenesis, using a 3D bone-biomimetic model (collagen nanofibers/nanohydroxyapatite) grafted with SPARC. Our findings highlight distinct cellular behavior depending on cell type and presence of exogenous SPARC. In fact, SPARC addition contributed to the survival and significant growth of a non-bone metastatic PCa cell line (LNCaP) on bone-like biomaterial. Moreover, SPARC expression levels were evaluated in a series of prostatic tissues, comparing normal prostate, pre-neoplastic prostate intraepithelial neoplasias and overtly malignant tumors, and also metastasis to its correspondent primary prostate tumors, ascertaining potential association between SPARC and clinicopathological data. Remarkably, SPARC was overexpressed in patients with higher Gleason Score, indicating tumors with poor prognosis, as well as in metastasis, particularly from bone sites, compared with their respective primary tumors. The results suggest a potential role of SPARC as a clinical target on PCa, due to its association with bone metastization.


Assuntos
Neoplasias Ósseas , Modelos Biológicos , Osteonectina/metabolismo , Neoplasias da Próstata , Neoplasias Ósseas/metabolismo , Neoplasias Ósseas/secundário , Linhagem Celular Tumoral , Humanos , Imuno-Histoquímica , Masculino , Nanoestruturas/química , Osteonectina/análise , Estudos Prospectivos , Próstata/química , Próstata/diagnóstico por imagem , Neoplasias da Próstata/metabolismo , Neoplasias da Próstata/patologia , Neoplasias da Próstata/cirurgia , Pontos Quânticos
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