Microarray expression profile of microRNAs in Esophageal Squamous Cell Carcinoma
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ABSTRACT:
PROVIDER: PRJNA606288 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The purpose of this study is to explore the miRNAs expression profiles from esophageal squamous cell carcinoma (ESCC) and matched normal adjacent tissue.
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Project description:Microarray analysis of serum from esophageal squamous cell carcinoma
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Project description:Our aim is to identify frequent genomic aberrations both in ESCC and esophageal dysplasia, and to discover important copy number-driving genes and microRNAs in ESCC. We carried out array-based comparative genomic hybridization (array CGH) on 59 ESCC resection samples and 16 dysplasia biopsy samples. Expression of genes at 11q13.3 was analyzed by real-time PCR and immunohistochemistry (IHC). Integrated analysis was performed to identify genes or microRNAs with copy number-expression correlations. Two group experiment, esophageal dysplasia vs. esophageal squamous cell carcinoma. Biological replicates: 16 dysplasias vs. 59 carcinomas
2013-04-29 | E-GEOD-46452 | biostudies-arrayexpress
Project description:MicroRNAs (miRNAs) are an endogenous conserved class of non-coding 20–22 nt small RNAs that regulate gene expression at post-transcriptional level by mostly binding to 3′-UTR of target mRNAs, leading to mRNA degradation or translation inhibition. Recent reports demonstrate a role for miRNA expression in the disease progression and outcome. By now, many researcher focusing on miRNA expression profiles in Barrett's esophagus and esophageal adenocarcinoma have been reported. Nevertheless, there is still a little information available about specific miRNA expression pattern and their roles in ESCC. To develop novel diagnostic and therapeutic targets for esophageal squamous cancer, we first investigated the expression profile of miRNA in three pairs of ESCC clinical samples.
2010-08-12 | GSE23142 | GEO
Project description:Human esophageal cancer is the sixth leading cause of cancer death worldwide. More than 90% of esophageal cancer is esophageal squamous cell carcinoma (ESCC). However, the etiological cause of ESCC remains unclear. By using gene expression microarray analysis, we aimed to find whether fungal infection is involved in ESCC development. We identified a wide spectrum of molecular signatures in a fungal infection and ESCC mouse model, including alterations involved in epigenetic regulation, cell cycle control, cell proliferation and survival signaling, and inflammation, which share many similarities with human ESCC.
2017-04-01 | GSE80005 | GEO
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
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Project description:The purpose of this study is to explore the miRNAs expression profiles in the serum from esophageal squamous cell carcinoma (ESCC) patients.
2019-02-07 | GSE112840 | GEO
Project description:The purpose of this study is to explore the circRNAs expression profiles in the plasma from esophageal squamous cell carcinoma (ESCC) patients.The purpose of this study is to explore the circRNAs expression profiles in the plasma from esophageal squamous cell carcinoma (ESCC) patients.
2021-03-23 | GSE112496 | GEO
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
2010-05-26 | E-GEOD-6188 | biostudies-arrayexpress
Project description:MicroRNAs (miRNAs) are an endogenous conserved class of non-coding 20–22 nt small RNAs that regulate gene expression at post-transcriptional level by mostly binding to 3′-UTR of target mRNAs, leading to mRNA degradation or translation inhibition. Recent reports demonstrate a role for miRNA expression in the disease progression and outcome. By now, many researcher focusing on miRNA expression profiles in Barrett's esophagus and esophageal adenocarcinoma have been reported. Nevertheless, there is still a little information available about specific miRNA expression pattern and their roles in ESCC. To develop novel diagnostic and therapeutic targets for esophageal squamous cancer, we first investigated the expression profile of miRNA in three pairs of ESCC clinical samples. Tissues of ESCC and the matched normal counterparts were obtained from surgical specimens immediately after resection from patients undergoing primary surgical treatment of esophageal carcinoma from the Department of Tumor Surgery of Shantou Central Hospital, China. RNA labeling and hybridization were completed by KangChen Bio-tech Inc. (Shanghai, China) according to the manufacturer's instructions. Briefly, total RNA from three pairs of esophageal carcinoma and matched normal tissues were isolated by Trizol (Invitrogen, USA) and purified by RNeasy mini kit (QIAGEN, German). The concentration and quality of total RNA were measured by NanoDrop ND-1000 at 260 and 280 nm (A260/280) and checked by gel electrophoresis. Each RNA sample from three pairs of ESCC was separately labeled either using the miRCURY Hy3/Hy5 labeling kit and hybridized on the six miRCURYTM locked nucleic acid (LNA) array version 11.0 (Exiqon, Denmark), which contains probes for 1700 mature miRNA. Scans were quantified by using GenePix software (Molecular Devices). The data were exported to Microsoft Excel worksheets, log2 transformed, normalized using global Lowess (Locally Weighted Scatter plot Smoothing) regression algorithm (MIDAS, TIGR Microarray Data Analysis System).
2010-08-12 | E-GEOD-23142 | biostudies-arrayexpress