Literature DB >> 28341124

Tenascin-C is a potential cancer-associated fibroblasts marker and predicts poor prognosis in prostate cancer.

Wei-Dong Ni1, Zhao-Ting Yang1, Chun-Ai Cui2, Yan Cui3, Long-Yun Fang4, Yan-Hua Xuan5.   

Abstract

Tenascin-C (TNC), as a member of the extracellular matrix (ECM), plays an important role in cancer cell proliferation and migration and tumor invasion in various types of cancer. Here, we attempted to investigate the role of TNC as a prognostic factor in prostate cancer. We studied TNC expression via immunohistochemistry in 145 prostate cancer tissue samples. The clinicopathological relevance of TNC expression was examined, as well as other cancer-associated fibroblasts (CAFs)-related factors. Our results showed that the high levels of TNC expression in prostate cancer stroma was significantly associated with lymph node metastasis (P = 0.024) and clinical stage (P = 0.032). Furthermore, TNC was positively correlated with increased micro-vessel density (MVD) (P = 0.017) and tumor associated macrophage (TAM) population (P = 0.025). In both univariate and multivariate Cox regression analyses, TNC (P < 0.001) was an independent poor prognostic factor for overall survival in prostate cancer patients. Moreover, over-expression of TNC (P < 0.001), SMA (P = 0.042) and vimentin (P = 0.010) were significantly correlated with the lower overall survival. In addition, TNC expression in prostate cancer stroma was significantly associated with FSP1 (P = 0.011), SMA (P = 0.021), and vimentin (P = 0.002). In conclusion, our study revealed that high level of TNC as a potential biomarker of CAFs was significantly correlated with the poor prognosis for prostate cancer patients.
Copyright © 2017. Published by Elsevier Inc.

Entities:  

Keywords:  Cancer-associated fibroblasts; Prognosis; Prostate cancer; Tenascin-C

Mesh:

Substances:

Year:  2017        PMID: 28341124     DOI: 10.1016/j.bbrc.2017.03.021

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  31 in total

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