Polysialic Acid Neural Cell Adhesion Molecule (PSA-NCAM) is an adverse prognosis factor in glioblastoma, and regulates olig2 expression in glioma cell lines

聚唾液酸 神经细胞粘附分子 医学 胶质瘤 肿瘤科 免疫组织化学 比例危险模型 内科学 单变量分析 外科肿瘤学 危险系数 癌症研究 多元分析 病理 细胞 细胞粘附 生物 置信区间 遗传学
作者
Marie‐Claude Amoureux,Béma Coulibaly,Olivier Chinot,Anderson Loundou,Philippe Métellus,Geneviève Rougon,Dominique Figarella‐Branger
出处
期刊:BMC Cancer [BioMed Central]
卷期号:10 (1): 91-91 被引量:102
标识
DOI:10.1186/1471-2407-10-91
摘要

BACKGROUND: Glioblastoma multiforme (GBM) is the most aggressive and frequent brain tumor, albeit without cure. Although patient survival is limited to one year on average, significant variability in outcome is observed. The assessment of biomarkers is needed to gain better knowledge of this type of tumor, help prognosis, design and evaluate therapies. The neurodevelopmental polysialic acid neural cell adhesion molecule (PSA-NCAM) protein is overexpressed in various cancers. Here, we studied its expression in GBM and evaluated its prognosis value for overall survival (OS) and disease free survival (DFS). METHODS: We set up a specific and sensitive enzyme linked immunosorbent assay (ELISA) test for PSA-NCAM quantification, which correlated well with PSA-NCAM semi quantitative analysis by immunohistochemistry, and thus provides an accurate quantitative measurement of PSA-NCAM content for the 56 GBM biopsies analyzed. For statistics, the Spearman correlation coefficient was used to evaluate the consistency between the immunohistochemistry and ELISA data. Patients' survival was estimated by using the Kaplan-Meier method, and curves were compared using the log-rank test. On multivariate analysis, the effect of potential risk factors on the DFS and OS were evaluated using the cox regression proportional hazard models. The threshold for statistical significance was p = 0.05. RESULTS: We showed that PSA-NCAM was expressed by approximately two thirds of the GBM at variable levels. On univariate analysis, PSA-NCAM content was an adverse prognosis factor for both OS (p = 0.04) and DFS (p = 0.0017). On multivariate analysis, PSA-NCAM expression was an independent negative predictor of OS (p = 0.046) and DFS (p = 0.007). Furthermore, in glioma cell lines, PSA-NCAM level expression was correlated to the one of olig2, a transcription factor required for gliomagenesis. CONCLUSION: PSA-NCAM represents a valuable biomarker for the prognosis of GBM patients.
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