| Literature DB >> 29753088 |
Ryo Nagashio1, Shota Oikawa1, Kengo Yanagita1, Daisuke Hagiuda1, Yuki Kuchitsu1, Satoshi Igawa2, Katsuhiko Naoki2, Yukitoshi Satoh3, Masaaki Ichinoe4, Yoshiki Murakumo4, Makoto Saegusa4, Yuichi Sato5.
Abstract
Abnormal expressions of extracellular matrix (ECM) proteins are correlated with increased tumor progression, an advanced histologic grade, and metastasis. LCN1 cells derived from a pulmonary large cell neuroendocrine carcinoma were grown to form an Aegagropila-shaped conglomeration on a suspension culture dish (LCN1-sus). In contrast, LCN1 cells cultured in a type I collagen dish were adherent and tended to grow as spindle-shaped individual cells (LCN1-co). In this study, aiming at the discovery of predictive markers for tumor invasion, we performed protein profiling between LCN1-sus and LCN1-co cells using two-dimensional gel electrophoresis. Twenty-six protein spots with >1.2-fold quantitative differences between LCN1-sus and LCN1-co cells were detected. Among the identified proteins, we focused on and immunohistochemically investigated G6PD in lung cancer. G6PD expression was significantly associated with a higher pathological TNM stage (p = 0.0024), lymph node metastasis (p = 0.0187), poorer differentiation (p = 0.0046), pleural invasion (p = 0.0197), vascular invasion (p < 0.0001), lymphatic invasion (p = 0.0200) and poorer prognosis (p = 0.0005) in adenocarcinoma. Especially, G6PD-positive patients with overexpression at the invasive front had significantly poorer survival than those without overexpression (p = 0.0058). Moreover, multivariable analysis revealed that G6PD expression was an independent adverse-prognostic factor. These results suggest that G6PD may be a novel predictive prognostic marker for lung adenocarcinoma.Entities:
Keywords: Extracellular matrix; G6PD; Immunohistochemistry; Lung cancer; Predictive prognostic marker; Two-dimensional gel electrophoresis
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Year: 2018 PMID: 29753088 DOI: 10.1016/j.bbapap.2018.05.005
Source DB: PubMed Journal: Biochim Biophys Acta Proteins Proteom ISSN: 1570-9639 Impact factor: 3.036