ABSTRACT
BACKGROUND: Although miR-410 acts as a cancer inducer in colorectal cancer, there is limited data on the clinical implications of miR-410 expression levels in patients. We hypothesized a link between miR-410 expression and its potential clinical values in patients with colorectal cancer. MATERIAL AND METHODS: 120 colorectal cancer tissue specimens and 120 adjacent non-tumour tissues were obtained. Quantification of miR-410 expression levels was determined by, quantitative RT-PCR. Expression was analysed by clinical features. RESULTS: miR-410 was up-regulated in malignant tissues compared with corresponding normal tissues (P < 0.01), with TNM stage and lymph node metastasis (P = 0.03, P = 0.004, respectively), and with worse overall survival (P = 0.002). Multivariate survival analysis identified it as an independent risk factor for outcome (P = 0.021, HR = 2.19; 95% CI = 1.12-4.25). CONCLUSION: Compared to normal non-cancerous tissues, miR-410 was overexpressed in tumour tissues and is independently associated with the unfavourable outcome. Levels of MiR-410 might a useful laboratory tool in managing and predicting the prognosis of colorectal cancer.
Subject(s)
Colorectal Neoplasms/genetics , MicroRNAs/genetics , Up-Regulation/genetics , Biomarkers, Tumor/genetics , Colorectal Neoplasms/pathology , Female , Gene Expression Regulation, Neoplastic/genetics , Humans , Lymphatic Metastasis/genetics , Lymphatic Metastasis/pathology , Male , Middle Aged , Multivariate Analysis , Prognosis , Real-Time Polymerase Chain Reaction/methods , Risk FactorsABSTRACT
To date, no specific pattern of chromosomal abnormalities has been established in gastric cancer (GC). Cytogenetic analysis was performed using G-banding and fluorescence in situ hybridization (FISH) in 9 ascetic fluids from GC patients, and the clustering patterns of chromosomal abnormalities were studied. Twenty-six different types of chromosomal abnormalities were identified. In contrast to structural abnormalities, the gain or loss of chromosomes was infrequent. Moreover, five main clusters of chromosomal abnormalities were identified by clustering analysis. Extensive cytogenetic complexity, specific chromosomal abnormalities and karyotype heterogeneity are the main characterizations of GC. Some of the recurrent and novel chromosomal abnormalities with distinct clustering patterns identified in this study may play important roles for GC initiation and progression and could serve as promising diagnostic and prognostic markers in GC patients.
