Evaluation of immunohistochemical markers in non-small cell lung cancer by unsupervised hierarchical clustering analysis: a tissue microarray study of 284 cases and 18 markers.

摘要: This study has investigated a panel of immunomarkers in non-small cell lung carcinoma (NSCLC). Unsupervised hierarchical clustering analysis was used to investigate the possibility identifying different subgroups NSCLC based on their molecular expression profile rather than morphological features. A tissue microarray consisting 284 cases constructed. Immunohistochemistry detect presence 18 biomarkers including synaptophysin, chromogranin, bombesin, NSE, GFI1, ASH-1, p53, p63, p21, p27, E2F-1, cyclin D1, Bcl-2, TTF-1, CEA, HER2/neu, cytokeratin 5/6, and pancytokeratin. Univariate all markers for prognostic significance performed. Immunohistochemical scoring data were analysed by unsupervised analysis. Kaplan-Meier survival curves plotted cluster groups tumours identified this method. Analysis three World Health Organization (WHO) subtypes (adenocarcinoma, squamous carcinoma, large carcinoma) individually showed that significant subtypes. For example, p53 p63 (p = 0.007 p 0.03, respectively), whereas D1 HER2/neu adenocarcinoma 0.025 0.015, respectively). These not predictors as group. Hierarchical produced four separate groups, although vast majority found two one dominated other adenocarcinoma. The clinical outcomes from significantly different. Prognostic indicators vary between NSCLC. analysis, an extended immunoprofile, identifies main corresponding carcinoma; carcinomas are assigned these phenotype.