Dataset Information

Identification of a miRNA-mRNA network associated with lymph node metastasis in colorectal cancer.

ABSTRACT: Lymph node metastasis is an important step in the progression of colorectal cancer (CRC); however, the underlying mechanisms are still unknown. The aim of the present study was to identify the gene expression pattern during lymph node metastasis in CRC and to identify upstream microRNAs (miRNAs) to explore the underlying mechanisms in detail. A total of 305 differently expressed genes (DEGs) were identified, including 227 upregulated genes and 78 downregulated genes in lymph node metastasis. Pathway and process enrichment analysis demonstrated that DEGs were significantly enriched in 'NABA CORE MATRISOME', 'extracellular matrix assembly', 'antimicrobial humoral response' and 'Toll-like receptor signaling' pathways. The top 10 hub genes were identified by protein-protein interaction network, and sub-networks revealed that these genes were involved in significant pathways, including 'neutrophil chemotaxis' and 'Smooth Muscle Contraction'. In addition, 73 mature differently expressed miRNAs associated with lymph node metastasis were identified, of which 48 were upregulated and 25 were downregulated. Six miRNAs were identified to regulate DEGs. Additionally, based on the relationship between miRNAs and transcription factors, a miRNA-TF-mRNA network was constructed. In conclusion, DEGs, miRNAs and their interactions and pathways were identified in lymph node metastasis in CRC, which provided insight into the mechanism of CRC metastasis and may be used to develop novel targets for CRC treatment.

SUBMITTER: Ju Q

PROVIDER: S-EPMC6607389 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Identification of a miRNA-mRNA network associated with lymph node metastasis in colorectal cancer.

Ju Qiang Q Zhao Yan-Jie YJ Dong Yong Y Cheng Cong C Zhang Shaoqiang S Yang Yuanming Y Li Ping P Ge Dongmei D Sun Bo B

Oncology letters 20190607 2

Lymph node metastasis is an important step in the progression of colorectal cancer (CRC); however, the underlying mechanisms are still unknown. The aim of the present study was to identify the gene expression pattern during lymph node metastasis in CRC and to identify upstream microRNAs (miRNAs) to explore the underlying mechanisms in detail. A total of 305 differently expressed genes (DEGs) were identified, including 227 upregulated genes and 78 downregulated genes in lymph node metastasis. Pat ...[more]

PMID: 31423178

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Project description:BackgroundBecause its metastasis to the lymph nodes are closely related to poor prognosis, miRNAs and mRNAs can serve as biomarkers for the diagnosis, prognosis, and therapy of colorectal cancer (CRC). This study aimed to identify novel gene signatures in the lymph node metastasis of CRC.MethodsGSE56350, GSE70574, and GSE95109 datasets were downloaded from the Gene Expression Omnibus (GEO) database, while data from 569 colorectal cancer cases were also downloaded from The Cancer Genome Atlas (TCGA) database. Differentially expressed miRNAs (DE-miRNAs) were calculated using R programming language (Version 3.6.3), while gene ontology and enrichment analysis of target mRNAs were performed using FunRich ( http://www.funrich.org ). Furthermore, the mRNA-miRNA network was constructed using Cytoscape software (Version 3.8.0). Gene expression levels were verified using the GEO datasets. Similarly, quantitative real-time PCR (qPCR) was used to examine expression profiles from 20 paired non-metastatic and metastatic lymph node tissue samples obtained from patients with CRC.ResultsIn total, five DE-miRNAs were selected, and 34 mRNAs were identified after filtering the results. Moreover, two key miRNAs (hsa-miR-99a, hsa-miR-100) and one gene (heparan sulfate-glucosamine 3-sulfotransferase 2 [HS3ST2]) were identified. The GEO datasets analysis and qPCR results showed that the expression of key miRNA and genes were consistent with that obtained from the bioinformatic analysis. A novel miRNA-mRNA network capable of predicting the prognosis and confirmed experimentally, hsa-miR-99a-HS3ST2-hsa-miR-100, was found after expression analysis in metastasized lymph node tissue from CRC samples.ConclusionIn summary, miRNAs and genes with potential as biomarkers were found and a novel miRNA-mRNA network was established for CRC lymph node metastasis by systematic bioinformatic analysis and experimental validation. This network may be used as a potential biomarker in the development of lymph node metastatic CRC.

Project description:BackgroundmiRNAs and genes can serve as biomarkers for the prognosis and therapy of cervical tumors whose metastasis into lymph nodes is closely associated with disease progression and poor prognosis.MethodsR software and Bioconductor packages were employed to identify differentially expressed miRNAs (DEMs) from The Cancer Genome Atlas (TCGA) database. GEO2R detected differentially expressed genes (DEGs) in the GSE7410 dataset originating from the Gene Expression Omnibus (GEO). A Cox proportional hazard regression model was established to select prognostic miRNA biomarkers. Online tools such as TargetScan and miRDB predicted target genes, and overlapping DEGs and target genes were defined as consensus genes. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment and Gene Ontology (GO) function annotations were performed to discern the potential functions of consensus genes. STRING and Cytoscape screened key genes and constructed a regulatory network.ResultsA combination of four miRNAs (down-regulated miR-502 and miR-145, up-regulated miR-142 and miR-33b) was identified as an independent prognostic signature of cervical cancer. A total of 94 consensus genes were significantly enriched in 7 KEGG pathways and 19 GO function annotations including the cAMP signaling pathway, the plasma membrane, integral components of the plasma membrane, cell adhesion, etc. The module analysis suggested that CXCL12, IGF1, PTPRC CDH5, RAD51B, REV3L, and WDHD1 are key genes that significantly correlate with cervical cancer lymph node metastasis.ConclusionsThis study demonstrates that a four-miRNA signature can be a prognostic biomarker, and seven key genes are significantly associated with lymph node metastasis in cervical cancer patients. These miRNAs and key genes have the potential to be therapeutic targets for cervical cancer. Among them, two miRNAs (miR-502 and miR-33b) and two key genes (PTPRC and CDH5) were first reported to be potential novel biomarkers for cervical cancer. The current study further characterizes the progression of lymph node metastasis and mechanism of cervical tumors; therefore, it provides a novel diagnostic indicator and therapeutic targets for future clinical treatments.

Project description:Colorectal cancer is the third most prevalent type of cancer in the United States. Early diagnosis of lymph node metastases is essential to improve the prognosis for patients with colorectal cancer. Therefore, the present study aimed to screen genetic markers, including single nucleotide polymorphisms (SNPs), copy number variations (CNVs) and mRNA expression, associated with lymph node metastases in patients with colorectal cancer to enable an early diagnosis. Targeted next-generation sequencing was applied to capture SNPs and CNVs in tumor-related candidate genes within tumor tissues from 39 colorectal cancer patients; reverse transcription-quantitative polymerase chain reaction was used to detect the specific mRNA level of tumor-related candidate genes, including vascular endothelial growth factor C, cyclin-A2, Interleukin-2, ATP-binding cassette sub-family G member 2, epidermal growth factor (EGF) and nuclear factor kappa B subunit 1 (NFKB1) on chromosome 4. The SNPs in solute carrier family 28 member 3 (SLC28A3), breast cancer 1 (BRCA1), ribonucleotide reductase regulators subunit M2 (RRM2), PMS1 homolog 2 (PMS2), cytidine deaminase (CDA), epoxide hydrolase 1 (EPHX1), heterogenous ribonucleoprotein particle-associated with lethal yellow (RALY), Siglec-3 (CD33), B cell lymphoma 10 (BCL10), ETS variant 1 (ETV1), macrophage stimulating 1 receptor 1 (MST1R), lysine methyltransferase 2B (KMT2B), B cell lymphoma 2 (BCL2), U6 small nuclear RNA-associated Sm-like protein 3 (LSM3), thyroid transcription factor 1 (TTF1) and mitogen-activated protein 3 kinase 1 (MAP3K1) were significantly associated with lymphatic metastasis (P<0.05). EGF and NFKB1 were both observed to be significantly downregulated in the lymph node metastases group (P<0.05). Although no association between CNVs and lymph node metastases in patients with colorectal cancer was observed in the present study, SNPs in SLC28A3, BRCA1, RRM2, PMS2, CDA, EPHX1, RALY, CD33, BCL10, ETV1, MST1R, KMT2B, BCL2, LSM3, TTF1 and MAP3K1 were significantly associated with colorectal cancer. Downregulation of EGF and NFKB1 was also identified to be associated with lymph node metastases in colorectal cancer. The findings of the current study provide a scientific basis for the clinical inspection of lymphatic metastasis and prognosis prediction, intervention and guidance therapy for patients with colorectal cancer.

Project description:BackgroundLymph node metastasis (LNM) is an important prognostic factor in endometrial cancer. Anomalous microRNAs (miRNAs) are associated with cell functions and are becoming a powerful tool to characterize malignant transformation and metastasis. The aim of this study was to construct a miRNA signature to predict LNM in endometrial endometrioid carcinoma (EEC).MethodCandidate target miRNAs related to LNM in EEC were screened by three methods including differentially expressed miRNAs (DEmiRs), weighted gene co-expression network analysis (WGCNA), and decision tree algorithms. Samples were randomly divided into the training and validation cohorts. A miRNA signature was built using a logistic regression model and was evaluated by the area under the curve (AUC) of receiver operating characteristic curve (ROC) and decision curve analysis (DCA). We also conducted pathway enrichment analysis and miRNA-gene regulatory network to look for potential genes and pathways engaged in LNM progression. Survival analysis was performed, and the miRNAs were tested whether they expressed differently in another independent GEO database.ResultThirty-one candidate miRNAs were screened and a final 15-miRNA signature was constructed by logistic regression. The model showed good calibration in the training and validation cohorts, with AUC of 0.824 (95% CI, 0.739-0.912) and 0.821 (95% CI, 0.691-0.925), respectively. The DCA demonstrated the miRNA signature was clinically useful. Hub miRNAs in signature seemed to contribute to EEC progression via mitotic cell cycle, cellular protein modification process, and molecular function. MiR-34c was statistically significant in survival that a higher expression of miR-34c indicated a higher survival time. MiR-34c-3p, miR-34c-5p, and miR-34b-5p were expressed differentially in GSE75968.ConclusionThe miRNA signature could work as a noninvasive method to detect LNM in EEC with a high prediction accuracy. In addition, miR-34c cluster may be a key biomarker referring LNM in endometrial cancer.

Dataset Information

Identification of a miRNA-mRNA network associated with lymph node metastasis in colorectal cancer.

Publications

Identification of a miRNA-mRNA network associated with lymph node metastasis in colorectal cancer.

Similar Datasets

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