ArticleOncotarget2017
Transcriptome analysis of human colorectal cancer biopsies reveals extensive expression correlations among genes related to cell proliferation, lipid metabolism, immune response and collagen catabolism.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 30 citations in OpenAlex.
- Pathways Contributing to Chemotherapy-Induced Myotoxicity Are Attenuated by EPA + DHA in a Clinically Relevant Model of Colorectal Cancer.Journal of cachexia, sarcopenia and muscle · 2025Article
- The Reg gene family: roles in gastric and colorectal cancer progression and its potential for targeted therapy.Discover oncology · 2025Review
- Logistic PCA explains differences between genome-scale metabolic models in terms of metabolic pathways.PLoS computational biology · 2024Article
- The Reg protein family: potential new targets for the treatment of inflammatory bowel disease and colorectal cancer.Frontiers in gastroenterology (Lausanne, Switzerland) · 2024Review
- Spatial tumour gene signature discriminates neoplastic from non-neoplastic compartments in colon cancer: unravelling predictive biomarkers for relapse.Journal of translational medicine · 2023Article
- Deep top-down proteomics revealed significant proteoform-level differences between metastatic and nonmetastatic colorectal cancer cells.Science advances · 2022Article
- Article
- Tetraspanin 6 is a regulator of carcinogenesis in colorectal cancer.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Article
- Transcriptome analysis of sinensetin-treated liver cancer cells guided by biological network analysis.Oncology letters · 2021Article
- Transcriptome Changes in Colorectal Cancer Cells upon Treatment with Avicequinone B.Advanced pharmaceutical bulletin · 2020Article
- Cytokines regulate the antigen-presenting characteristics of human circulating and tissue-resident intestinal ILCs.Nature communications · 2020Article
- Landscape of transcriptome variations uncovering known and novel driver events in colorectal carcinoma.Scientific reports · 2020Article
- NGS Evaluation of Colorectal Cancer Reveals Interferon Gamma Dependent Expression of Immune Checkpoint Genes and Identification of Novel IFNγ Induced Genes.Frontiers in immunology · 2020Article
- Novel reference genes in colorectal cancer identify a distinct subset of high stage tumors and their associated histologically normal colonic tissues.BMC medical genetics · 2019Article
- Role of Regenerating Islet-Derived Protein 3A in Gastrointestinal Cancer.Frontiers in oncology · 2019Review
- Identification of A Gene Set Associated with Colorectal Cancer in Microarray Data Using The Entropy Method.Cell journal · 2019Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precise characterization of biological processes critical to proliferation and metastasis of colorectal cancer should facilitate the development of diagnostic and prognostic biomarkers as well as novel treatments. Using mRNA-Seq, we examined the protein coding messenger RNA (mRNA) expression profiles across different histologically defined stages of primary colon cancers and compared them to their patient matched normal tissue controls. In comparing 79 colorectal cancers to their matched normal mucosa, tumors were distinguished from normal non-malignant tissues not only in the upregulation of biological processes pertaining to cell proliferation, inflammation, and tissue remodeling, but even more strikingly, in downregulated biological processes including fatty acid beta oxidization for ATP production and epithelial cell differentiation and function. A network analysis of deregulated genes revealed newly described cancer networks and putative hub genes. Taken together, our findings suggest that, within an inflammatory microenvironment, invasive, dedifferentiated and rapidly dividing tumor cells divert the oxidation of fatty acids and lipids from energy production into lipid components of cell membranes and organelles to support tumor proliferation. A gene co-expression network analysis provides a clear and broad picture of biological pathways in tumors that may significantly enhance or supplant current histopathologic studies.
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Registered trials
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