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Dynamic Transcriptome Analysis Reveal New Prognosis Biomarker in Colorectal Cancer

ABSTRACT: This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): Mus musculus Human alphaherpesvirus 1 Rattus norvegicus Human gammaherpesvirus 8 Betapolyomavirus hominis JC polyomavirus Betapolyomavirus macacae Homo sapiens Human immunodeficiency virus 1 human gammaherpesvirus 4 Human betaherpesvirus 5

PROVIDER: GSE41015 | GEO | 2015/09/30

SECONDARY ACCESSION(S): PRJNA175534

REPOSITORIES: GEO

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Dynamic Transcriptome Analysis Reveal New Prognosis Biomarker in Colorectal Cancer (miRNA)

Project description:microRNA profile of TNM-specific sequence design and integrated network-based bioinformatic analysis in 20 Colorectal cancer patients(n=5 for each TNM stage) are carried out to find the dynamic miRNA expression pattern specific to TNM stage. Gene microrray experiment of the same samples were also performed. Two different platform of microarray data were analyzed together to uncover the potential biomarker for progression of colorectal cancer.

2015-09-30 | GSE41012 | GEO

Dynamic Transcriptome Analysis Reveal New Prognosis Biomarker in Colorectal Cancer (gene expression)

Project description:Global gene profile of TNM-specific sequence design and integrated network-based bioinformatic analysis in 20 Colorectal cancer patients(n=5 for each TNM stage) are carried out to find the dynamic gene expression pattern specific to TNM stage. microRNA microrray experiment of the same samples were also performed. Two different platform of microarray data were analyzed together to uncover the potential biomarker for progression of colorectal cancer.

2015-09-30 | GSE41011 | GEO

miR-429 identified by dynamic transcriptome analysis is a new candidate biomarker for colorectal cancer prognosis.

Project description:Colorectal cancer (CRC) is a common malignant gastrointestinal cancer. Efforts for preventive and personalized medicine have intensified in the last decade with attention to novel forms of biomarkers. In the present study, microRNA and genetic analyses were performed in tandem for differential transcriptome profiling between primary tumors with or without nodes or distant metastases. Serial Test Cluster (STC) analysis demonstrated that 20 genes and two microRNAs showed distinctive expression patterns associated with the tumor, node, and metastasis (TNM) stage. The selected target genes were characterized by GO and Pathway analysis. A microRNA-target gene network analysis showed that miR-429 resided in the center of the network, indicating that miR-429 might serve important roles in the development of CRC. Real-time PCR and tissue microarrays showed that miR-429 had a dynamic expression pattern during the CRC progression stage, and was significantly downregulated in stage II and stage III clinical progression. The low expression of miR-429 was correlated with poor prognosis for CRC. Taken together, miR-429 warrant further clinical translation research as a candidate biomarker for CRC prognosis. Additional downstream targets and attendant gene function also need to be discerned to design a sound critical path to personalized medicine for persons susceptible to, or diagnosed with CRC.

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Exploration into Plasma Hsa_circ_0052184 as a New Biomarker of Colorectal Cancer Prognosis.

Project description:BackgroundCircular RNAs (circRNAs) are strong modulators of tumor pathology. Herein, our goal was to examine the plasma hsa_circ_0052184 content among colorectal cancer (CRC) patients, and assess its association with patient clinicopathological profile and diagnostic values.MethodsOverall, we collected 228 presurgical CRC and 146 normal plasma samples from The First People's Hospital of Wenling. Circulating hsa_circ_0052184 levels were assessed via qRT-PCR, and the diagnostic prediction was conducted with the receiver operating characteristic (ROC) curve.ResultsRelative to healthy controls, CRC patients exhibited markedly enhanced circulating hsa_circ_0052184 levels, which were closely correlated with advanced stage of disease and worse outcome. Based on our uni- (UA) and multivariate assessments (MA), elevated hsa_circ_0052184 levels were a stand-alone predictor of poor prognosis. The ROC curve depicted an area under the curve (AUC) for CRC diagnosis to be 0.9072.ConclusionCirculating hsa_circ_0052184 is a potential bioindicator of CRC outcome.

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Methylation of Cancer Stem Cell-associated Wnt target genes predicts poor prognosis in colorectal cancer patients

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Project description:This SuperSeries is composed of the SubSeries listed below.

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High MICB expression as a biomarker for good prognosis of colorectal cancer.

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