Project description:Esophageal cancer is a highly malignant and prevalent cancer worldwide. Current TNM staging system is insufficient for prognosis of esophagus squamous cell carcinoma (ESCC) patients. The aim of this study is to evaluate miRNA expression profile of ESCC and identify a miRNA signature which robustly predict the survival of ESCC patients. MiRNA expression profiles of paired frozen tissues from 119 ESCC patients were assessed by microarray. After normalization of microarray data, the patients were randomly divided into a training set (n=60) and a test set (n=59). From the training set, we identified a four-miRNA prognostic signature (including hsa-miR-218-5p, hsa-miR-142-3p, hsa-miR-150-5p, and hsa-miR-205-5p) using random forest supervised classification algorithm and nearest shrunken centroid algorithm. This signature distinguished the patients into high-risk or low-risk groups whose overall survival differed significantly (5-year survival 7.4% vs. 66.7%, p<0.001). Prognostic value of this signature was validated in the test set (5-year survival 18.8% vs. 46.5%, p=0.025) and further in an independent cohort of 58 patients assessed by a different platform (5-year survival 11.4% vs. 56.7%, p=0.003). Furthermore, multivariable Cox regression analysis revealed that this signature is an independent prognostic factor for ESCC patients. Moreover, stratified analysis showed that this signature was able to predict survival within TNM stages. The expression level of the four miRNAs measured by microarray was verified by qRT-PCR and showed high level of positive correlation (Pearson correlation coefficient>0.75, p<0.001 for all). Our results suggest that the four-miRNA signature can serve as a reliable biomarker to predict the survival of ESCC patients. the miRNA expression profiles of cancer and adjacent normal tissues form 119 ESCC patients were used to identify a miRNA signature that can perdict the survival of ESCC patients.
Project description:We have investigated expressed microRNA in cryo-preserved esophageal cancer tissues using advanced microRNA microarray techniques. Our microarray analyses reveal a unique microRNA expression signature composed of 40 genes which can distinguish normal from malignant esophageal tissue. Some microRNAs could be correlated with the different clinico-pathological classifications. For example, high hsa-miR-103, -107, -23b expression correlated with poor overall disease-free survival of esophageal cancer patients. These results indicate that microRNA expression profiles are important diagnostic and prognostic markers of esophageal cancer, which might be analyzed simply using economical approaches such as RT-PCR. Keywords: microRNA, esophageal squamous cell carcinoma cancer vs adjacent normal tissues
Project description:This study was designed to identify genes aberrantly expressed in esophageal squamous cell carcinoma (ESCC) cells. Three esophageal squamous cell carcinoma-derived cell lines and one normal human esophageal squamous cell line were analyzed.
Project description:KH-type splicing regulatory protein (KHSRP) is a multifunctional RNA-binding protein (RBP), which is involved in many post-transcriptional aspects of RNA metabolism including microRNA (miRNA) biogenesis, affects distinct cell functions in different tissues and can impact on various pathological conditions. However, the function and underlying mechanisms of KHSRP in esophageal squamous cell carcinoma (ESCC) remain largely unknown. In the present study, we uncover a novel oncogenic function of KHSRP in esophageal tumorigenesis, and implicate its use as a marker for prognostic evaluation and as a putative therapeutic target in ESCC.
Project description:KH-type splicing regulatory protein (KHSRP) is a multifunctional RNA-binding protein (RBP), which is involved in many post-transcriptional aspects of RNA metabolism including microRNA (miRNA) biogenesis, affects distinct cell functions in different tissues and can impact on various pathological conditions. However, the function and underlying mechanisms of KHSRP in esophageal squamous cell carcinoma (ESCC) remain largely unknown. In the present study, we uncover a novel oncogenic function of KHSRP in esophageal tumorigenesis, and implicate its use as a marker for prognostic evaluation and as a putative therapeutic target in ESCC.
Project description:We have investigated expressed microRNA in cryo-preserved esophageal cancer tissues using advanced microRNA microarray techniques. Our microarray analyses reveal a unique microRNA expression signature composed of 40 genes which can distinguish normal from malignant esophageal tissue. Some microRNAs could be correlated with the different clinico-pathological classifications. For example, high hsa-miR-103, -107, -23b expression correlated with poor overall disease-free survival of esophageal cancer patients. These results indicate that microRNA expression profiles are important diagnostic and prognostic markers of esophageal cancer, which might be analyzed simply using economical approaches such as RT-PCR. Keywords: microRNA, esophageal squamous cell carcinoma
