Joint effect of RRP9 and DDX21 on development of colorectal cancer and keloid.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37988222", "kind": "science-record", "revision": 5, "content_hash": "sha256:1f0efd99e38e8b6c06d8e039d6cb5c1c6ad9578cf6d126012ae8dd2537894fd9", "created_at": "2026-11-01T19:02:54Z", "updated_at": "2026-11-01T22:53:08Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Joint effect of RRP9 and DDX21 on development of colorectal cancer and keloid.", "doi": "10.18632/aging.205240", "pmid": "37988222", "authors": ["Hao Liu", "Xiaoqian Chi", "Ning Yang", "Mengjie Shan", "Yiding Xiao", "Mingzi Zhang", "Yan Hao", "Shiyang Hou", "Yabin Liu", "Youbin Wang"], "journal": "Aging", "year": 2023, "abstract": "BACKGROUND: Colorectal cancer (CRC) is a common malignancy in the gastrointestinal tract. Keloid refers to abnormal scar tissue that forms on the skin or mucous membrane. The relationship between RRP9 and DDX21 and the two diseases is unclear.\nMETHODS: Download the colorectal cancer dataset GSE134834, GSE206800, GSE209892 and keloid dataset GSE44270 from the GEO database. Differentially expressed genes (DEGs) were screened and weighted gene co-expression network analysis (WGCNA) was performed. The construction and analysis of protein-protein interaction (PPI) network, functional enrichment analysis, gene set enrichment analysis (GSEA). Gene expression heat map was drawn. The comparative toxicogenomics database (CTD) analysis was performed to find diseases most related to core genes. TargetScan screened miRNAs that regulated central DEGs. We conducted experimental validation using Western blotting and Polymerase Chain Reaction (PCR).\nRESULTS: In the colorectal cancer dataset and the scar tissue dataset, we identified 1380 DEGs and 1000 DEGs, respectively. The enrichment pattern for scar tissue was similar to that of colorectal cancer. We identified two core genes, RRP9 and DDX21. CTD analysis indicated that RRP9 and DDX21 are associated with proliferation, scar tissue, colorectal tumors, scleroderma, and inflammation. We found that the core genes (RRP9 and DDX21) were highly expressed in colorectal cancer and scar tissue samples, while their expression was lower in normal samples. This was further validated through Western blotting (WB) and Polymerase Chain Reaction (PCR).\nCONCLUSIONS: The higher the expression of RRP9 and DDX21 in colorectal cancer and keloid, the worse the prognosis.", "claims": [{"id": "claim-method", "statement": "We then conducted multivariate linear regression using the lmFit function. After adjusting the standard errors towards a common value using empirical Bayesian methods, we calculated moderated t-statistics, moderated f-statistics, and log-fold changes for differential expression of each gene.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37988222", "locator": "sections[19] \"DEG selection\" paragraph 2", "quote": "We then conducted multivariate linear regression using the lmFit function. After adjusting the standard errors towards a common value using empirical Bayesian methods, we calculated moderated t-statistics, moderated f-statistics, and log-fold changes for differential expression of each gene."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37988222", "locator": "sections[28] \"Data availability\" paragraph 2", "quote": "The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "In the colorectal cancer dataset and the scar tissue dataset, we identified 1380 DEGs and 1000 DEGs, respectively.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37988222", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "In the colorectal cancer dataset and the scar tissue dataset, we identified 1380 DEGs and 1000 DEGs, respectively."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "In the colorectal cancer dataset and the scar tissue dataset, we identified 1380 DEGs and 1000 DEGs, respectively.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:37988222"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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