ArticleBMC medical genomics2020
Integration analysis of long non-coding RNA (lncRNA) role in tumorigenesis of colon adenocarcinoma.
Article in BMC medical genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed, 81 citations in OpenAlex.
- Exosome-Based Drug Delivery Systems in Colorectal Cancer: Current Evidence and Future Perspectives.The AAPS journal · 2026Review
- Uncovering alterations in cancer epigenetics via trans-dimensional Markov chain Monte Carlo and hidden Markov models.Journal of the Royal Statistical Society. Series C, Applied statistics · 2026Article
- Activated PLK1 promotes the migration and invasion of polyploid giant cancer cells with daughter cells via β-catenin/STAT3 signaling pathway.Human cell · 2025Article
- Unveiling the immunometabolic landscape of colorectal cancer through PANoptosis-related gene expression.Frontiers in immunology · 2025Article
- Long Non-Coding RNAIranian journal of public health · 2024Article
- Identification of ASMTL-AS1 and LINC02604 lncRNAs as novel biomarkers for diagnosis of colorectal cancer.International journal of colorectal disease · 2024Article
- Article
- The activation of HAMP promotes colorectal cancer cell proliferation through zinc-mediated upregulation of SMAD4 expression.Translational cancer research · 2024Article
- Biological roles of SLC16A1-AS1 lncRNA and its clinical impacts in tumors.Cancer cell international · 2024Review
- Biomarker Identification through Proteomics in Colorectal Cancer.International journal of molecular sciences · 2024Review
- Copper in the colorectal cancer microenvironment: pioneering a new era of cuproptosis-based therapy.Frontiers in oncology · 2024Review
- Colorectal Cancer: From Risk Factors to Oncogenesis.Medicina (Kaunas, Lithuania) · 2023Review
- Upgulation of lncRNA GASL1 inhibits atherosclerosis by regulating miR-106a/LKB1 axis.BMC cardiovascular disorders · 2023Article
- A Prognostic Cuproptosis-Related LncRNA Signature for Colon Adenocarcinoma.Journal of oncology · 2023Article
- Long Non-Coding RNA and microRNA Interplay in Colorectal Cancer and Their Effect on the Tumor Microenvironment.Cancers · 2022Review
- THUMPD3-AS1 facilitates cell growth and aggressiveness by the miR-218-5p/SKAP1 axis in colorectal cancer.Cell biochemistry and biophysics · 2022Article
- Performance of the Use of Genetic Information to Assess the Risk of Colorectal Cancer in the Basque Population.Cancers · 2022Article
- Comprehensive proteomic signature and identification of CDKN2A as a promising prognostic biomarker and therapeutic target of colorectal cancer.World journal of clinical cases · 2022Article
- MALAT1-miRNAs network regulate thymidylate synthase and affect 5FU-based chemotherapy.Molecular medicine (Cambridge, Mass.) · 2022Review
- Long noncoding RNA MAGI2-AS3 regulates the HRedox biology · 2022Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundColon adenocarcinoma (COAD) is one of the most common gastrointestinal cancers globally. Molecular aberrations of tumor suppressors and/or oncogenes are the main contributors to tumorigenesis. However, the exact underlying mechanisms of COAD pathogenesis are clearly not known yet. In this regard, there is an urgent need to indicate promising potential diagnostic and prognostic biomarkers in COAD patients.
methodsIn the current study, level 3 RNA-Seq and miR-Seq data and corresponding clinical data of colon adenocarcinoma (COAD) were retrieved from the TCGA database. The "limma" package in R software was utilized to indicate the differentially expressed genes. For in silico functional analysis, GO and KEGG signaling pathways were conducted. PPI network was constructed based on the STRING online database by Cytoscape 3.7.2. A ceRNA network was also constructed by "GDCRNATools" package in R software. Kaplan-Meier survival analysis (log-rank test) and ROC curve analysis were used to indicate the diagnostic and prognostic values of the biomarkers.
resultsThe differential expression data demonstrated that 2995 mRNAs, 205 lncRNAs, and 345 miRNAs were differentially expressed in COAD. The GO and KEGG pathway analysis indicated that the differentially expressed mRNAs were primarily enriched in canonical processes in cancer. The PPI network showed that the CDKN2A, CCND1, MYC, E2F, CDK4, BRCA2, CDC25B, and CDKN1A proteins were the critical hubs. In addition, the Kaplan-Meier analysis revealed that 215 mRNAs, 14 lncRNAs, and 39 miRNAs were associated with overall survival time in the patients. Also, the ceRNA network data demonstrated that three lncRNAs including MIR17HG, H19, SNHG1, KCNQ1OT1, MALAT1, GAS5, SNHG20, OR2A1-AS1, and MAGI2-AS3 genes were involved in the development of COAD.
conclusionsOur data suggested several promising lncRNAs in the diagnosis and prognosis of patients with COAD.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.