ArticleCancer cell international2021
Identification of the miRNA signature and key genes in colorectal cancer lymph node metastasis.
Article in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 36 citations in OpenAlex.
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- Decision tree-based machine learning methods for identifying colorectal cancer-associated microRNA signatures and their regulatory networks.Scientific reports · 2025Article
- Multi-modal clustering reveals event-free patient subgroup in colorectal cancer survival.NPJ systems biology and applications · 2025Article
- Clinical value of miR-216a-5p and miR-34a in early screening for cervical cancer.American journal of translational research · 2025Article
- The effect of smoking on tumor immunoediting: Friend or foe?Tobacco induced diseases · 2024Review
- Cross-Kingdom Interaction of miRNAs and Gut Microbiota with Non-Invasive Diagnostic and Therapeutic Implications in Colorectal Cancer.International journal of molecular sciences · 2023Review
- MicroRNA-nanoparticles against cancer: Opportunities and challenges for personalized medicine.Molecular therapy. Nucleic acids · 2023Review
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- Identification and verification of microRNA signature and key genes in the development of osteosarcoma with lung metastasis.Medicine · 2022Article
- Overview of MicroRNAs as Diagnostic and Prognostic Biomarkers for High-Incidence Cancers in 2021.International journal of molecular sciences · 2022Review
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- COL3A1 and Its Related Molecules as Potential Biomarkers in the Development of Human Ewing's Sarcoma.BioMed research international · 2021Article
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10 authors at 1 institution in 1 country.
Funding
Abstract
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.
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