Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA238617 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Serum 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 paired pre- and post- operative serum from 10 CRC patients.
2014-10-02 | E-GEOD-55139 | biostudies-arrayexpress
Project description:Serum 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).
2014-10-02 | GSE55139 | 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:MicroRNAs (miRNAs) are small non-coding RNA molecules which function as negative gene regulators. The tissue expression profile of miRNAs shows great promise as a novel biomarker for diagnosis of cancer and other diseases. In addition, some recent reports have demonstrated that are present in human serum and plasma which could make them an ideal non-invasive biomarker for diagnosis of cancer. The aim of this study is to analyze the value/efficacy of the expression profile of plasma miRNAs in differentiating between patients with advanced adenomas and CRC and healthy individuals. The microRNA profiling study comprises serum plasmas from 20 Control, 21 colorectal cancer,20 advanced adenomas.The study also include some samples from patients after treatment.
2013-01-11 | E-GEOD-25609 | biostudies-arrayexpress
Project description:microRNAs (miRNAs) are short, non-coding RNA molecules that act as regulators of gene expression. Circulating blood miRNAs offer great potential as cancer biomarkers. The objective of the study was to correlate the differential expression of miRNAs in tissue and blood in the identification of biomarkers for early detection of colorectal cancer (CRC). miRNA biomarker discovery via miRNA array profiling using paired cancer tissues (n = 30) and blood samples (CRC, n = 42; control, n = 18).
2013-12-30 | E-GEOD-39845 | biostudies-arrayexpress
Project description:Introduction: The potential of expression profiling using microarray analysis as a tool to predict the prognosis for different types of cancer has been realized. This study aimed to identify a novel biomarker for colorectal cancer (CRC). Experimental design: The expression profiles of cancer cells in 153 patients with CRC were examined using laser microdissection and oligonucleotide microarray analysis. Overexpression in CRC cells, especially in patients with distant metastases, was a prerequisite to select candidate genes. We analyzed the protein expression and localization of the candidate gene by immunohistochemical study and investigated the relationship between protein expression and clinicopathologic features in 271 CRC patients. Results: Using microarray analysis, we identified 11 candidate genes related to distant metastases in CRC patients. Among these genes, Traf2- and Nck- interacting kinase (TNIK) was known to be associated with aggressiveness in CRC through Wnt signaling. Absence of overexpression of TNIK protein was associated with significantly better overall survival (p < 0.001) and relapse-free survival (p < 0.001). Moreover, overexpression of TNIK protein was an independent risk factor for CRC recurrence (p = 0.009). Conclusion: Overexpression of TNIK might be a predictive biomarker of CRC recurrence. Copy number analysis was performed using LCM samples of 125 colorectal cancer patients by GeneChip Human Mapping 250k Sty arrays. Non-tumor tissues obtained from 47 patients were used as unpaired reference samples.
2015-11-21 | E-GEOD-64257 | biostudies-arrayexpress
Project description:Purpose: The purpose of this study is to identify a novel biomarker related with distant metastases of colorectal cancer (CRC). Experimental Design: We investigated mRNA expression profiles in 115 patients with CRC using an Affymetrix Gene Chip, and copy number profiles in 122 patients with CRC using an Affymetrix DNA Sty array. Genes in common between copy number and expression data were extracted as candidate genes. We analyzed the mRNA expression of candidate gene by quantitative reverse transcription polymerase chain reaction (RT-PCR) in 86 patients as a validation study. Furthermore, we analyzed the protein expression of candidate gene by immunohistochemical study in 269 patients, and investigated the relationship between protein expression and clinicopathologic features. Results: By the combination of copy number analysis and gene expression analysis, We extracted 2 candidate genes related with distant metastases of CRC. Several reports show that NUCKS1, one of candidate genes, is overexpressed in several cancer tissues. But a study about the relationship between NUCKS1 and CRC is none. The mRNA expression of NUCKS1 in cancer tissues was significantly higher than those in normal tissues. Overexpression of NUCKS1 protein was associated with significantly worse relapse-free survival of CRC. Overexpression of NUCKS1 protein was an independent risk factor for recurrence of CRC. Conclusion: The overexpression of NUCKS1 would be a new biomarker predicting recurrence after colorectal surgery. Copy number analysis was performed using LCM samples of 122 colorectal cancer patients by GeneChip Human Mapping 250k Sty arrays. Non-tumor tissues obtained from 74 patients were used as unpaired reference samples.
2012-10-16 | E-GEOD-27910 | biostudies-arrayexpress
Project description:Introduction: The potential of expression profiling using microarray analysis as a tool to predict the prognosis for different types of cancer has been realized. This study aimed to identify a novel biomarker for colorectal cancer (CRC). Experimental design: The expression profiles of cancer cells in 153 patients with CRC were examined using laser microdissection and oligonucleotide microarray analysis. Overexpression in CRC cells, especially in patients with distant metastases, was a prerequisite to select candidate genes. We analyzed the protein expression and localization of the candidate gene by immunohistochemical study and investigated the relationship between protein expression and clinicopathologic features in 271 CRC patients. Results: Using microarray analysis, we identified 11 candidate genes related to distant metastases in CRC patients. Among these genes, Traf2- and Nck- interacting kinase (TNIK) was known to be associated with aggressiveness in CRC through Wnt signaling. Absence of overexpression of TNIK protein was associated with significantly better overall survival (p < 0.001) and relapse-free survival (p < 0.001). Moreover, overexpression of TNIK protein was an independent risk factor for CRC recurrence (p = 0.009). Conclusion: Overexpression of TNIK might be a predictive biomarker of CRC recurrence. Gene expression profiles for 125 cancer tissues from colorectal cancer patients were measured by Affymetrix HG-U133 Plus 2.0 arrays. Normalization was performed by robust multi-array average (RMA) method under R 2.12.1 statistical software with affy package from BioConductor. The normalized gene expression levels were presented as log2-transformed values by RMA.
2015-11-21 | E-GEOD-64256 | biostudies-arrayexpress
Project description:Purpose: The purpose of this study is to identify a novel biomarker related with distant metastases of colorectal cancer (CRC). Experimental Design: We investigated mRNA expression profiles in 115 patients with CRC using an Affymetrix Gene Chip, and copy number profiles in 122 patients with CRC using an Affymetrix DNA Sty array. Genes in common between copy number and expression data were extracted as candidate genes. We analyzed the mRNA expression of candidate gene by quantitative reverse transcription polymerase chain reaction (RT-PCR) in 86 patients as a validation study. Furthermore, we analyzed the protein expression of candidate gene by immunohistochemical study in 269 patients, and investigated the relationship between protein expression and clinicopathologic features. Results: By the combination of copy number analysis and gene expression analysis, We extracted 2 candidate genes related with distant metastases of CRC. Several reports show that NUCKS1, one of candidate genes, is overexpressed in several cancer tissues. But a study about the relationship between NUCKS1 and CRC is none. The mRNA expression of NUCKS1 in cancer tissues was significantly higher than those in normal tissues. Overexpression of NUCKS1 protein was associated with significantly worse?relapse-free survival of CRC. Overexpression of NUCKS1 protein was an independent risk factor for recurrence of CRC. Conclusion: The overexpression of NUCKS1 would be a new biomarker predicting recurrence after colorectal surgery. Total 115 microarray datasets obtained from LCM samples of colorectal cancer patients were normalized using robust multi-array average (RMA) method under R statistical software version 2.12.1 together with BioConductor package. The normalized gene expression levels were presented as log2-transformed values by RMA, and 62 control probe sets were removed for further analysis. This submission represents the transcriptome component of the study.
2012-10-16 | E-GEOD-27854 | biostudies-arrayexpress