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pmid:36708565
The Effect of Salmonella AvrA Infection on Colon Cancer: An in-silico Study.
Bogi Pratomo Wibowo · Handono Kalim · Husnul Khotimah · Hidayat Sujuti · Reza Ardi Wibowo
Asian Pacific journal of cancer prevention : APJCP · 2023 doi:10.31557/APJCP.2023.24.1.163
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Experiment
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Data
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Analysis
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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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Complete file
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The purpose of this in-silico study was to examine the relationship of chronic infection mechanisms caused by Salmonella Anti virulence agent A (AvrA) to gene mutations in the carcinogenic process of CRC.\nMETHODS: Gene expression data on the mouse colon was obtained from the GSE22215 dataset | Gene Expression Omnibus (GEO). Adjusted p-value was calculated using Benjamini & Hochberg False Discovery Rate (FDR<0.01). Gene expression in colon adenocarcicoma tumors was obtained from The Cancer Genome Atlas's (TCGA) Genomic Data Commons (GDC) dataset containing 458 colon tumor samples.\nRESULT: Expressions of MLH1, MSH2, EPCAM, APC, and PMS2 in cases of colon adenocarcinoma tumor showed a correlation with genes that underwent changes due to Salmonella AvrA infection. Among the gens of interest, EPCAM was the gene that had the highest correlation compared to other genes (MLH1, MSH2, APC, and PMS2) (n= 514, Gene r-p value < 0.01 =22355). There were 514 genes that had a correlation with cases of AvrA infection. Tumor Necrosis Factor (TNF), which is a gene that is upregulated in AvrA infection and correlates negatively with EPCAM, had the highest BC value compared to other gens (p= 0.0000768). Survival probability showed that EPCAM was highly expressed and it can increase survival time. In addition to TNF, our study indicated that IL1B (p= 0.000419), S100A8 (p= 2.02E-05), S100A9 (p=0.000419) correlated with the gene of interest.\nCONCLUSION: Late Salmonella AvrA infection affects the expression of genes involved in inflammation in colorectal cancer samples.", "claims": [{"id": "claim-method", "statement": "The adjustment p-value was calculated using Benjamini & Hochberg (False discovery rate) (FDR <0.01).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36708565", "locator": "sections[2] \"Materials and Methods\" paragraph 3", "quote": "The adjustment p-value was calculated using Benjamini & Hochberg (False discovery rate) (FDR <0.01)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Gene expression data on the mouse colon was obtained from the GSE22215 dataset | Gene Expression Omnibus (GEO). 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METHODS: Gene expression data on the mouse colon was obtained from the GSE22215 dataset", "ple Collection 1 Gene expression data on the mouse colon was obtained from the GSE22215 dataset", "t was microarrays [MoGene-1_0-st] Affymetrix Mouse Gene 1.0 ST Array [transcript (gene) version"], "order_basis": "paper_text_order:377", "id": "assay:1"}, {"role": "analysis", "definition_id": "network_analysis", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["build_graph", "centrality_scores", "pathway_enrich"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 0.8, "evidence": ["Centrality"], "order_basis": "consumes_earlier_output", "id": "assay:2"}]}