Expression data from miRNAs in colorectal cancer tissues with and without liver metastasis
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ABSTRACT:
ORGANISM(S): synthetic construct Homo sapiens
PROVIDER: GSE53159 | GEO | 2013/12/10
SECONDARY ACCESSION(S): PRJNA231028
REPOSITORIES: GEO
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Project description:The purpose of this study is to identify miRNAs involved in the pathology of colorectal cancer (CRC) liver metastasis and investigate their underlying mechanisms. A total of 39 miRNAs were identified to be differentially expressed between 16 primary CRC tissues with liver metastases and 16 CRC tissues without liver metastases from 32 patients by Affymetric miRNA microarrays. 16 coloretcal cancer tissues with liver metastasis and 16 colorectal cancer tissues without liver metastasis were included in this study for RNA extraction and hybridization on Affymetrix microarrays. We sought to identify the differentially expressed miRNAs between colorectal cancer tissues with and without liver metastasis.
2013-12-10 | E-GEOD-53159 | biostudies-arrayexpress
Project description:The purpose of this study is to identify lncRNAs involved in the pathology of colorectal cancer (CRC) liver metastasis and investigate their underlying mechanisms. A total of 439 miRNAs were identified to be differentially expressed between 7 primary CRC tissues with liver metastases and 8 CRC tissues without liver metastases from 15 patients by Arraystar lncRNA microarrays
2017-02-28 | GSE95423 | GEO
Project description:In this study, we conducted a microarray-based analysis to identify differentially expressed miRNAs in CRC by comparing miRNA profiles among primary CRC tissues from patients with liver metastases, primary tissues without liver metastases, and liver metastatic lesions. microRNAs (miRNAs) have been shown to have a potential for cancer diagnosis lately. The main objective of this study is to identify a novel biomarker serum miRNA from the patients with colorectal cancer (CRC). Microarray analysis of miRNA expression was performed using paired pre- and post- operative serum from 10 CRC patients. Two miRNAs (let-7a, miR-199a-3p) decreased significantly in the post-operative serum when compared to pre-operative serum (P=0.015 and 0.029, respectively). Microarrays were performed for the testing cohort of primary CRC lesions (n=28) and liver metastatic lesions (n=8).
2016-02-14 | E-GEOD-72199 | biostudies-arrayexpress
Project description:In this study, we conducted a microarray-based analysis to identify differentially expressed miRNAs in CRC by comparing miRNA profiles among primary CRC tissues from patients with liver metastases, primary tissues without liver metastases, and liver metastatic lesions. microRNAs (miRNAs) have been shown to have a potential for cancer diagnosis lately. The main objective of this study is to identify a novel biomarker serum miRNA from the patients with colorectal cancer (CRC). Microarray analysis of miRNA expression was performed using paired pre- and post- operative serum from 10 CRC patients. Two miRNAs (let-7a, miR-199a-3p) decreased significantly in the post-operative serum when compared to pre-operative serum (P=0.015 and 0.029, respectively).
2016-02-14 | GSE72199 | GEO
Project description:To identify potential metastasis associated miRNAs in colorectal cancer (CRC), we performed miRNA array on normal mucosa, CRC tissues without metastasis and CRC tissues with distant metastasis.
2018-09-22 | GSE120300 | GEO
Project description:Colorectal cancer (CRC) is one of the most malignant cancers with high morbidity and mortality. MicroRNAs (miRNAs) are small noncoding RNAs that affect biological processes by binding to mRNAs and regulating their expression, and epigenetic alterations including miRNA dysregulation are significantly involved in CRC development. Here we report significantly up-regulated as well as down-regulated miRNAs in CRC tissues compared with their matched non-tumoral tissues.
2021-08-01 | GSE156719 | GEO
Project description:The aim of our study was to identify a microRNA signature for metastatic CRC that could predict and differentiate metastatic target organ localization. Normal and cancer tissues of three different groups of CRC patients were analyzed. RNA microarray and TaqMan Array analysis were performed on 66 italian patients with or without lymph nodes and/or liver recurrences. Data obtained with the two assays, were analyzed separately and then intersected to identify a primary CRC metastatic signature. Five differentially expressed microRNAs (hsa-miR-21, -103, -93, -31 and -566) were validated by qRT-PCR on a second group of 16 american metastatic patients. In situ hybridization was performed on the 16 american patients as well as on three distinct commercial tissues microarray (TMA), containing normal adjacent colon, the primary adenocarcinoma, normal and metastatic lymph nodes and liver. Hsa-microRNA-31,-21,-93, and-103 upregulation together with hsa-miR-566 downregulation defined the CRC metastatic signature, while in situ hybridization data identified a lymphonodal invasion profile. 33 patients had colon cancer with lymph nodes metastasis only (Any T, Any N, M0) and 15 were diagnosed with colon cancer, lymph nodes and liver metastases (Any T, Any N, M1). Separate tumor samples from the primary tumor, the metastatic lymph nodes and the liver metastasis were collected.
2014-04-01 | E-GEOD-56350 | biostudies-arrayexpress
Project description:Genome wide miRNA expression profiling was performed using Affymetric miRNA v. 3.0 Array on 48 samples which included paired FFPE colon tuomor and metastisized liver and paired normal colon, normal liver). The data set was divided into two categories and identified by tissue source and patient demographics: Tissue (Colon, Liver), Source (Colon Tumor Liver Met, Colon Normal, Liver Normal), Sex (Male, Female), Patient Pair. microRNAs (miRs) are frequently dysregulated in colorectal cancer (CRC) and subsets are correlated with advanced tumor stage and metastasis. Despite this, the development of prognostic biomarkers that predict metastatic potential remain limited. Our study was designed to identify, validate, and elucidate underlying biology imposed by a miR signature that defines and predicts metastatic disease. Genome-wide miR expression profiling was performed on fourteen patient-matched stage IV primary CRC tumors and corresponding liver metastases using microRNA array technology. Based on these results, this miR panel was then validated and evaluated in normal colon tissue (N = 5), early stage (I & II, N = 11) and late stage (Stage III & IV, N = 14) colorectal primary tumors via qRT-PCR.
2017-05-02 | GSE98406 | GEO
Project description:Background: Colorectal cancer (CRC) is one of the leading causes of cancer-related death worldwide. The roles of microRNAs (minRNAs) in mRNA destabilization and translational repression of this disease are well appreciated, their involvement in endonucleolytic cleavage of target mRNAs is poorly understood. Methods: High throughput small RNA sequencing was employed for the identification and profiling of miRNAs by six pairs of colorectal cancer tissues (CT) and their adjacent tissues (CN). GO (gene ontology) biological process analysis and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analysis was carried out to understand the role of regulated miRNAs in CRC. Results: Using high-throughput sequencing, we identified 1409 miRNAs in the CT and CN libraries, including 81 novel miRNAs. 420 conserved and eight novel differentially expressed miRNAs (DEmiRNAs) were identified by comparing the expression levels of CT libraries with CN libraries. Conclusions: Our findings may lead to a better understanding of the novel role of miRNA in the gene regulation of CRC.
2020-03-02 | GSE125961 | GEO
Project description:PURPOSE: We sought to identify genes of clinical significance to predict survival and the risk for colorectal liver metastasis (CLM), the most common site of metastasis from colorectal cancer (CRC). PATIENTS AND METHODS: We profiled gene expression in 31 specimens from primary CRC and 32 unmatched specimens of CLM, and performed Significance Analysis of Microarrays (SAM) of the expressed genes between these two groups. To characterize the clinical relevance of two highly-ranked differentially expressed signature genes, we analyzed the expression of secreted phosphoprotein 1 (SPP1 or osteopontin) and lymphoid enhancer factor-1 (LEF1) by immunohistochemistry using a tissue microarray (TMA) representing an independent set of 154 patients with primary CRC. Supervised analysis using SAM identified 963 genes with significantly higher expression in CLM compared to primary CRC, with a false discovery rate of <0.5%. TMA analysis showed SPP1 and LEF1 protein overexpression in 60% and 44% of CRC cases, respectively. Subsequent occurrence of CLM was significantly correlated with the overexpression of LEF1 (chi-square p = 0.035), but not SPP1 (p = 0.14). Kaplan Meier analysis revealed significantly worse survival in patients with overexpression of LEF1 (p < 0.01), but not SPP1 (p = 0.11). Both univariate and multivariate analyses identified stage (p < 0.0001) and LEF1 overexpression (p < 0.05) as important prognostic markers, but not tumor grade or SPP1. CONCLUSION: Among signature genes differentially expressed between CLM and primary CRC, we demonstrate overexpression of LEF1 in primary CRC to be a prognostic factor for poor survival and increased risk for liver metastasis. cDNA microarrays from the Stanford Functional Genomics Facility were used to perform mRNA transcript profiling of 31 freshly-frozen primary colorectal cancer specimens, and compared to published profiles of 32 unmatched colorectal liver metastases and 12 normal liver specimens.
2011-03-22 | E-GEOD-22834 | biostudies-arrayexpress