Bioinformatics Analysis of Prognosis-Related Genes and Expression of CXCL8 in Colorectal Cancer.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:35845924", "kind": "science-record", "revision": 5, "content_hash": "sha256:3f3b0842351f9546f80fdfddfedaadb3661e36c3e8cb72fe67b5f7de1cae25fe", "created_at": "2026-11-01T18:14:55Z", "updated_at": "2026-11-01T22:49:34Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Bioinformatics Analysis of Prognosis-Related Genes and Expression of CXCL8 in Colorectal Cancer.", "doi": "10.1155/2022/3149887", "pmid": "35845924", "authors": ["Zhen Yao", "Xue Pan", "Wenyue Chen", "Yongjian Pei", "Chen Chen", "Yongkang Huang", "Songtao Liu", "Yulong Liu"], "journal": "BioMed research international", "year": 2022, "abstract": "Background: Colorectal cancer (CRC), one of the main causes of death, remains a leading cause of mortality in gastrointestinal cancer and tends to affect the younger generation. However, the pathological process of colorectal cancer is unclear. Exploring potential pathogenesis and therapeutic targets of CRC is significant as its high prevalence and high mortality. Nowadays, the rapid development of bioinformatics provides us an opportunity to explore potential molecular markers of CRC.\nMaterials and Methods: First, three CRC gene chips with paracancerous controls were downloaded from the Gene Expression Omnibus (GEO) database. Second, after combining and batch correcting the three chips using the R language and Perl language, the differentially expressed genes (DEGs) were selected to investigate how they affect the CRC occurrence and development by GO and KEGG enrichment analysis. Third, based on the STRING website and the Cytoscape software, the protein-protein interaction (PPI) network was constructed and the core genes were screened out. Finally, through polymerase chain reaction (PCR) and immunohistochemistry (IHC), the expression and function of the core gene CXCL8 in CRC were explored.\nResults: GSE10950, GSE44076, and GSE75970, including 126 intestinal cancer samples and 126 paracancer samples, were screened as the datasets. 192 DEGs were screened, including 43 upregulated genes and 149 downregulated genes. Through the DEGs screened out, GO enrichment analysis, KEGG enrichment analysis, and the construction of PPI interaction network were carried out. Finally, according to the nodes and edges in the PPI network, the DEGs were sorted and the core genes were selected. Through basic experiments, the first ranked CXCL8 was further studied, and the results suggest that the expression of CXCL8 is related to the proliferation, migration, invasion, and even distant metastasis of CRC.\nConclusion: The present study showed that DEGs of CRC are associated with multiple tumor-related biological processes and signaling pathways. The core gene CXCL8 has the potential to be a new therapeutic target for CRC.", "claims": [{"id": "claim-method", "statement": "Through limma package and empirical Bayesian method [17], the DEGs were screened, and statistically significant DEGs were defined as p < 0.05 and |logFC| ≥ 2.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35845924", "locator": "sections[3] \"2.1. Microarray Data Information\" paragraph 2", "quote": "Through limma package and empirical Bayesian method [17], the DEGs were screened, and statistically significant DEGs were defined as p < 0.05 and |logFC| ≥ 2."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data included in this study are available from the corresponding author upon request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:35845924", "locator": "sections[25] \"Data Availability\" paragraph 2", "quote": "All data included in this study are available from the corresponding author upon request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The combined analysis identified 192 differentially expressed genes, including 43 upregulated and 149 downregulated genes.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:35845924", "locator": "sections[15] \"3.1. DEGs in CRC and the Enrichment Analysis of These Genes\" paragraph 2", "quote": "Finally, 192 DEGs were obtained, including 43 upregulated genes and 149 downregulated genes."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The combined analysis identified 192 differentially expressed genes, including 43 upregulated and 149 downregulated genes.", "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:35845924"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE10950"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE10950"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:35845924", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1155/2022/3149887", "sha256": 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