MicroRNA profiling by array on 123 paired tumor and non-tumor tissue samples from patients with non-small cell lung carcinoma to gain a systems biology insight into the current clinical classification

ABSTRACT: Non-small cell lung cancer (NSCLC), a leading cause of cancer deaths, represents a heterogeneous group of neoplasms, mostly comprising squamous cell carcinoma (Squamous cell carcinoma), aC (AC) and large-cell carcinoma (Large cell carcinoma). The aim of this study was to gain a systems biology insight into the current clinical classification. Patients and Methods: Comparative genomic hybridization followed by mutational analysis, gene expression and miRNA microarray profiling were performed on 123 paired tumor and non-tumor tissue samples from patients with NSCLC. Using integrated systems biology approches, we sought to find out if combining data types from different levels of biology would improve clinical assessment of NSCLC. Results: At both DNA, RNA and miRNA levels we could identify molecular markers that discriminated significantly between the various clinicopathological entities of NSCLC. Conclusions: We report proofs of distinct molecular profiles that contribute to distinguishing NSCLC tumor subtypes even in small biopsies. The246 miRNA experiments have been made in single color with Agilent Human Genome miRNA 15K arrays v3 (design 021827).

ORGANISM(S): Homo sapiens

DISEASE(S): normal

SUBMITTER: Philippe DESSEN 

PROVIDER: E-MTAB-1134 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress