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Identification of Novel Core Genes Involved in Malignant Transformation of Inflamed Colon Tissue Using a Computational Biology Approach and Verification in Murine Models
by
Zenkova, Marina A.
, Markov, Andrey V.
, Savin, Innokenty A.
, Sen’kova, Aleksandra V.
in
Analysis
/ Animals
/ Anopheles
/ Azoxymethane - adverse effects
/ Bioinformatics
/ Biomarkers
/ Cancer
/ Cell Transformation, Neoplastic - pathology
/ Colitis - pathology
/ Colon - pathology
/ Colorectal cancer
/ Colorectal Neoplasms - pathology
/ Computational biology
/ Crohn's disease
/ Data mining
/ Datasets
/ Dextran Sulfate - adverse effects
/ Disease Models, Animal
/ Fatty acids
/ Gastrointestinal system
/ Genes
/ Health aspects
/ Homeostasis
/ Humans
/ Inflammation
/ Inflammatory bowel disease
/ Inflammatory Bowel Diseases - pathology
/ Matrix Metalloproteinase 13
/ Matrix Metalloproteinase 3
/ Matrix Metalloproteinase 7
/ Matrix Metalloproteinase 9
/ Membrane Proteins
/ Metabolism
/ Mice
/ Mice, Inbred C57BL
/ Microbiota
/ Oncology, Experimental
/ Signal transduction
/ Ulcerative colitis
2023
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Identification of Novel Core Genes Involved in Malignant Transformation of Inflamed Colon Tissue Using a Computational Biology Approach and Verification in Murine Models
by
Zenkova, Marina A.
, Markov, Andrey V.
, Savin, Innokenty A.
, Sen’kova, Aleksandra V.
in
Analysis
/ Animals
/ Anopheles
/ Azoxymethane - adverse effects
/ Bioinformatics
/ Biomarkers
/ Cancer
/ Cell Transformation, Neoplastic - pathology
/ Colitis - pathology
/ Colon - pathology
/ Colorectal cancer
/ Colorectal Neoplasms - pathology
/ Computational biology
/ Crohn's disease
/ Data mining
/ Datasets
/ Dextran Sulfate - adverse effects
/ Disease Models, Animal
/ Fatty acids
/ Gastrointestinal system
/ Genes
/ Health aspects
/ Homeostasis
/ Humans
/ Inflammation
/ Inflammatory bowel disease
/ Inflammatory Bowel Diseases - pathology
/ Matrix Metalloproteinase 13
/ Matrix Metalloproteinase 3
/ Matrix Metalloproteinase 7
/ Matrix Metalloproteinase 9
/ Membrane Proteins
/ Metabolism
/ Mice
/ Mice, Inbred C57BL
/ Microbiota
/ Oncology, Experimental
/ Signal transduction
/ Ulcerative colitis
2023
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Identification of Novel Core Genes Involved in Malignant Transformation of Inflamed Colon Tissue Using a Computational Biology Approach and Verification in Murine Models
by
Zenkova, Marina A.
, Markov, Andrey V.
, Savin, Innokenty A.
, Sen’kova, Aleksandra V.
in
Analysis
/ Animals
/ Anopheles
/ Azoxymethane - adverse effects
/ Bioinformatics
/ Biomarkers
/ Cancer
/ Cell Transformation, Neoplastic - pathology
/ Colitis - pathology
/ Colon - pathology
/ Colorectal cancer
/ Colorectal Neoplasms - pathology
/ Computational biology
/ Crohn's disease
/ Data mining
/ Datasets
/ Dextran Sulfate - adverse effects
/ Disease Models, Animal
/ Fatty acids
/ Gastrointestinal system
/ Genes
/ Health aspects
/ Homeostasis
/ Humans
/ Inflammation
/ Inflammatory bowel disease
/ Inflammatory Bowel Diseases - pathology
/ Matrix Metalloproteinase 13
/ Matrix Metalloproteinase 3
/ Matrix Metalloproteinase 7
/ Matrix Metalloproteinase 9
/ Membrane Proteins
/ Metabolism
/ Mice
/ Mice, Inbred C57BL
/ Microbiota
/ Oncology, Experimental
/ Signal transduction
/ Ulcerative colitis
2023
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Identification of Novel Core Genes Involved in Malignant Transformation of Inflamed Colon Tissue Using a Computational Biology Approach and Verification in Murine Models
Journal Article
Identification of Novel Core Genes Involved in Malignant Transformation of Inflamed Colon Tissue Using a Computational Biology Approach and Verification in Murine Models
2023
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Overview
Inflammatory bowel disease (IBD) is a complex and multifactorial systemic disorder of the gastrointestinal tract and is strongly associated with the development of colorectal cancer. Despite extensive studies of IBD pathogenesis, the molecular mechanism of colitis-driven tumorigenesis is not yet fully understood. In the current animal-based study, we report a comprehensive bioinformatics analysis of multiple transcriptomics datasets from the colon tissue of mice with acute colitis and colitis-associated cancer (CAC). We performed intersection of differentially expressed genes (DEGs), their functional annotation, reconstruction, and topology analysis of gene association networks, which, when combined with the text mining approach, revealed that a set of key overexpressed genes involved in the regulation of colitis (C3, Tyrobp, Mmp3, Mmp9, Timp1) and CAC (Timp1, Adam8, Mmp7, Mmp13) occupied hub positions within explored colitis- and CAC-related regulomes. Further validation of obtained data in murine models of dextran sulfate sodium (DSS)-induced colitis and azoxymethane/DSS-stimulated CAC fully confirmed the association of revealed hub genes with inflammatory and malignant lesions of colon tissue and demonstrated that genes encoding matrix metalloproteinases (acute colitis: Mmp3, Mmp9; CAC: Mmp7, Mmp13) can be used as a novel prognostic signature for colorectal neoplasia in IBD. Finally, using publicly available transcriptomics data, translational bridge interconnecting of listed colitis/CAC-associated core genes with the pathogenesis of ulcerative colitis, Crohn’s disease, and colorectal cancer in humans was identified. Taken together, a set of key genes playing a core function in colon inflammation and CAC was revealed, which can serve both as promising molecular markers and therapeutic targets to control IBD and IBD-associated colorectal neoplasia.
Publisher
MDPI AG,MDPI
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