ArticleScientific reports2022
Weighted correlation network analysis revealed novel long non-coding RNAs for colorectal cancer.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Guanylate cyclase-C Signaling Axis as a theragnostic target in colorectal cancer: a systematic review of literature.Frontiers in oncology · 2023Pooled it
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- Identification of Ferroptosis-Related Hub Genes Linked to Suppressed Sulfur Metabolism and Immune Remodeling inPathogens (Basel, Switzerland) · 2026Article
- POC1A promotes malignant phenotypes in non-triple-negative breast cancer cell models with EMT- and Wnt/β-catenin-related alterations.Frontiers in oncology · 2026Article
- Identification of the Role of Necroptosis-Related Genes in the Oxidative Damage of Lens Epithelial Cells and Validation in Ultraviolet B-induced Cataract in Rats.Combinatorial chemistry & high throughput screening · 2026Article
- CKAP2, miR-941, miR-548 and LINC02577 as biomarkers for early diagnosis in colorectal cancer.Scientific reports · 2025Article
- Integrative analysis identifies shared therapeutic pathways in thyroid eye disease and diabetes mellitus.Scientific reports · 2025Article
- Comprehensive bioinformatics analysis was used to identify and verify differentially expressed genes in targeted therapy of colon cancer.Scientific reports · 2025Article
- Single-Cell Transcriptomic Approaches for Decoding Non-Coding RNA Mechanisms in Colorectal Cancer.Non-coding RNA · 2025Review
- Heterozygosity-Rich Regions in Canine Genome: Can They Serve as Indicators of Balancing Selection?Animals : an open access journal from MDPI · 2025Article
- Identification and experimental validation of common genes associated with both pulmonary arterial hypertension and major depressive disorder.Frontiers in psychiatry · 2025Article
- Article
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- The effect of bone marrow mesenchymal stromal cell exosomes on acute myeloid leukemia's biological functions: a focus on the potential role of LncRNAs.Clinical and experimental medicine · 2024Article
- Identification of genes related to ribosomal proteins in colorectal cancer: exploring their potential as biomarkers, prognostic indicators, and therapeutic targets.Molecular biology reports · 2024Article
- MiR-380 inhibits the proliferation and invasion of cholangiocarcinoma cells by silencing LIS1.Cancer cell international · 2024Article
- Regulation of overexpression lncRNA ATP2B1-AS1 on lung adenocarcinoma progression.Journal of cardiothoracic surgery · 2024Article
- Weighted gene co-expression network analysis for hub genes in colorectal cancer.Pharmacological reports : PR · 2024Article
- Identification and validation of voltage-dependent anion channel 1-related genes and immune cell infiltration in diabetic nephropathy.Journal of diabetes investigation · 2024Article
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer (CRC) is one of the most prevalent cancers worldwide, which after breast, lung and, prostate cancers, is the fourth prevalent cancer in the United States. Long non-coding RNAs (lncRNAs) have an essential role in the pathogenesis of CRC. Therefore, bioinformatics studies on lncRNAs and their target genes have potential importance as novel biomarkers. In the current study, publicly available microarray gene expression data of colorectal cancer (GSE106582) was analyzed with the Limma, Geoquery, Biobase package. Afterward, identified differentially expressed lncRNAs and their target genes were inserted into Weighted correlation network analysis (WGCNA) to obtain modules and hub genes. A total of nine differentially expressed lncRNAs (LINC01018, ITCH-IT, ITPK1-AS1, FOXP1-IT1, FAM238B, PAXIP1-AS1, ATP2B1-AS1, MIR29B2CHG, and SNHG32) were identified using microarray data analysis. The WGCNA has identified several hub genes for black (LMOD3, CDKN2AIPNL, EXO5, ZNF69, BMS1P5, METTL21A, IL17RD, MIGA1, CEP19, FKBP14), blue (CLCA1, GUCA2A, UGT2B17, DSC2, CA1, AQP8, ITLN1, BEST4, KLF4, IQCF6) and turquoise (PAFAH1B1, LMNB1, CACYBP, GLO1, PUM3, POC1A, ASF1B, SDCCAG3, ASNS, PDCD2L) modules. The findings of the current study will help to improve our understanding of CRC. Moreover, the hub genes that we have identified could be considered as possible prognostic/diagnostic biomarkers. This study led to the determination of nine lncRNAs with no previous association with CRC development.
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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 Socratic graph.