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

ABSTRACT: 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.

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

PROVIDER: GSE41012 | GEO | 2015/09/30

SECONDARY ACCESSION(S): PRJNA175535

REPOSITORIES: GEO

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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

Dynamic Transcriptome Analysis Reveal New Prognosis Biomarker in Colorectal Cancer

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

2015-09-30 | GSE41015 | GEO

Multi-layered proteomic analysis for colorectal cancer

Project description:Matrix metalloproteinase-2 (MMP-2) plays a role in cell migration and invasion that involve degradation of extracellular matrix proteins as well as vascular remodeling. Increased expression of MMP-2 has often been observed in the tumors of colorectal cancer (CRC) patients. In order to unveil the perturbed proteomic signal during MMP-2-induced cancer progression, we analyzed MMP-2 dependent secretome change in HCT116 cancer cells by stable isotopic labeling with amino acids in cell culture (SILAC), together with the plasma proteome profile of CRC patients by label-free quantification according to disease progression from TNM stage I to IV. We also analyzed public database of CRC tissue proteome deposited by Clinical Proteomic Tumor Analysis Consortium (NCI/NIH). As a strategy for integrating the multi-layered proteomes, we first performed unsupervised hierarchical clustering on plasma and tissue proteomes according to TNM stage, and then Fisher’s exact test to find out which clusters were significantly represented by the secretome decreased by more than 1.5-fold upon MMP-2 knock down. The resultant cluster included CD9-ITGB1-ITGA7 protein complex as well as MMP-2. The proteins included in this cluster were mostly related to cell-cell communications and cell motility, and showed remarkable increased expression in tissue and plasma upon disease progression from TNM I to II. MMP-2 induced activation of FAK phospho-signaling in an activity-dependent manner. With the comparative and integrative multi-layered proteomic analysis, we suggest that high invasiveness featured in the disease progression of colorectal cancer with increased secretion of MMP-2 is because MMP-2 activates FAK signaling through CD9-integrin complex and consequently induces positive feedback of MMP-2 upregulation.

2021-08-26 | PXD018304 | Pride

microRNA profiles of serum exosomes in healthy controls and colorectal cancer patients-2

Project description:MicroRNAs (miRNAs) are intrinsic regulators in the various cellular processes, and their abnormalities are considered to be involved in the onset of human disorders, including cancer. Circulating miRNA is focused as new cancer biomarker however it is regarded that circulating RNA are released not only from tumor but also by various pathways. Recently, exosomes, small membrane vesicles, have been a major interest in cancer research field, because of their unique biological properties. Exosomes are secreted from various cells and the components (Lipids, mRNAs, miRNAs and proteins) reflect origin of the cells secreting them. Identification of exosomal miRNAs from cancer cells is expected to provide useful biomarkers of cancer. To identify specific exosomal miRNAs as candidate biomarkers for colorectal cancer, we profiled exosomal miRNAs in sera of colon cancer patients (n=88) at various TNM stages (I to IV) and healthy controls (n=11) and selected significantly higher microRNAs in serum exosomes of colorectal cancer patients than that of healthy controls. Moreover, we tried to detect their serum exosome levels of using samples from patients after surgical resection of primary tumors (n=24). Serum exosomes were prepared by step-wise ultra-centrifugation methods in 24 colorectal cancer patients (age; 35-65) after surgical resection of primary tumor (TNM stage I; n=6, stage II; n=5, stage IIIa; n=5, stage IIIb; n=5, stage IV; n=3) .Exosome fraction was mixed with Trizol-LS reagent (Invitrogen), and aqueous phase was collected by adding chloroform. After addition of ethanol to the aqueous phase, it was placed on to an RNeasy mini spin column (Qiagen) for the purification of total RNAs. The total RNAs were analyzed by Agilent Human miRNA V3 Microarray (G4470C) according to the manufacturer's instructions.

2014-04-01 | E-GEOD-40246 | biostudies-arrayexpress

microRNA profiles of serum exosomes in healthy controls and colorectal cancer patients-1

Project description:MicroRNAs (miRNAs) are intrinsic regulators in the various cellular processes, and their abnormalities are considered to be involved in the onset of human disorders, including cancer. Circulating miRNA is focused as new cancer biomarker however it is regarded that circulating RNA are released not only from tumor but also by various pathways. Recently, exosomes, small membrane vesicles, have been a major interest in cancer research field, because of their unique biological properties. Exosomes are secreted from various cells and the components (Lipids, mRNAs, miRNAs and proteins) reflect origin of the cells secreting them. Identification of exosomal miRNAs from cancer cells is expected to provide useful biomarkers of cancer. To identify specific exosomal miRNAs as candidate biomarkers for colorectal cancer, we profiled exosomal miRNAs in sera of colon cancer patients (n=88) at various TNM stages (I to IV) and healthy controls (n=11) and selected significantly higher microRNAs in serum exosomes of colorectal cancer patients than that of healthy controls. Moreover, we tried to detect their serum exosome levels of using samples from patients after surgical resection of primary tumors (n=24). Serum exosomes were prepared by step-wise ultra-centrifugation methods in 11 healthy controls and 88 colorectal cancer patients with various TNM stages (I; n=20, stage II; n=20, stage IIIa; n=20, stage IIIb: n=16, stage IV; n=12) (age; 35-65) .Exosome fraction was mixed with Trizol-LS reagent (Invitrogen), and aqueous phase was collected by adding chloroform. After addition of ethanol to the aqueous phase, it was placed on to an RNeasy mini spin column (Qiagen) for the purification of total RNAs. The total RNAs were analyzed by Agilent Human miRNA V3 Microarray (G4470C) according to the manufacturer's instructions.

2014-04-01 | E-GEOD-39833 | biostudies-arrayexpress

Potential and functional prediction of six Circular RNAs as diagnostic markers for colorectal cancer

Project description:In order to search for circRNA differentially expressed in colorectal cancer tissues and adjacent normal tissues, the cancer tissues and adjacent normal tissues of 3 patients with colorectal cancer(TNM:ⅡB) were selected for circRNA microarray detection. Differentially expressed circRNAs were screened.Then qRT-PCR was used to verify.

2022-04-27 | GSE197991 | 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.

| S-EPMC3903170 | biostudies-literature

Multiplex-NGS for identification of differentially expressed miRNAs between colon cancer patients with and without metachronous metastases

Project description:Purpose: The goal of this experiment was to identify differentially expressed miRNAs between colon cancer patients with and without metachronous metastases. Background: Colon cancer prognosis and treatment are currently based on a classification system still showing large heterogeneity in clinical outcome, especially in TNM-stages II-III. Prognostic biomarkers for metastasis risk are warranted, as development of distant recurrent disease mainly accounts for the high lethality rates of colon cancer. MicroRNAs have been proposed as potential biomarkers for cancer. Furthermore, a verified standard for normalization of the amount of input material in PCR-based relative quantification of miRNA expression is lacking. Methods: A selection of frozen tumor specimens from two independent patient cohorts with TNM-stage II-III microsatellite stable primary adenocarcinomas were used for laser capture microdissection. Next-generation sequencing was performed on small RNAs isolated from colorectal tumors from the Dutch cohort (N=50). Differential expression analysis, comparing in metastasized- and non-metastasized tumors, identified prognostic microRNAs. Validation was performed on colon tumors from the German cohort (N=43) using qPCR. Results: MiR-25-3p and miR-339-5p were identified and validated as independent prognostic markers and used to construct a multivariate nomogram for metastasis risk prediction. The nomogram showed good probability prediction in validation. Additionally, we recommend combination of miR-16-5p and miR-26a-5p as standard for normalization in qPCR of colon cancer tissue-derived microRNA expression. Conclusions: In this international study, we identified and validated an miRNA classifier in primary cancers, and propose a nomogram capable of predicting metastasis risk in microsatellite stable TNM-stage II-III colon cancer.

2014-11-08 | GSE63119 | GEO

Homo sapiens

Project description:Stage II and stage III colorectal cancer

| PRJNA119397 | ENA

RNA sequencing for cancer tissues and adjacent tissues of third-stage rectal cancer patients with and without blood vascular thrombus

Project description:The Agilent Human Gene Expression(8*60K，Design ID：039494) was used in this experiment of sequencing of the 12 samples. A total of 12 tissues were sequenced from adjacent and cancerous tissues of 6 patients with TNM stage 3 colon cancer. Three patients had cancer thrombus and three patients had no cancer thrombus.

2021-02-23 | GSE127069 | GEO

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