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Prediction of novel target genes and pathways involved in irinotecan-resistant colorectal cancer.

ABSTRACT: Acquired drug resistance to the chemotherapeutic drug irinotecan (the active metabolite of which is SN-38) is one of the significant obstacles in the treatment of advanced colorectal cancer (CRC). The molecular mechanism or targets mediating irinotecan resistance are still unclear. It is urgent to find the irinotecan response biomarkers to improve CRC patients' therapy.Genetic Omnibus Database GSE42387 which contained the gene expression profiles of parental and irinotecan-resistant HCT-116 cell lines was used. Differentially expressed genes (DEGs) between parental and irinotecan-resistant cells, protein-protein interactions (PPIs), gene ontologies (GOs) and pathway analysis were performed to identify the overall biological changes. The most common DEGs in the PPIs, GOs and pathways were identified and were validated clinically by their ability to predict overall survival and disease free survival. The gene-gene expression correlation and gene-resistance correlation was also evaluated in CRC patients using The Cancer Genomic Atlas data (TCGA).The 135 DEGs were identified of which 36 were upregulated and 99 were down regulated. After mapping the PPI networks, the GOs and the pathways, nine genes (GNAS, PRKACB, MECOM, PLA2G4C, BMP6, BDNF, DLG4, FGF2 and FGF9) were found to be commonly enriched. Signal transduction was the most significant GO and MAPK pathway was the most significant pathway. The five genes (FGF2, FGF9, PRKACB, MECOM and PLA2G4C) in the MAPK pathway were all contained in the signal transduction and the levels of those genes were upregulated. The FGF2, FGF9 and MECOM expression were highly associated with CRC patients' survival rate but not PRKACB and PLA2G4C. In addition, FGF9 was also associated with irinotecan resistance and poor disease free survival. FGF2, FGF9 and PRKACB were positively correlated with each other while MECOM correlated positively with FGF9 and PLA2G4C, and correlated negatively with FGF2 and PRKACB after doing gene-gene expression correlation.Targeting the MAPK signal transduction pathway through the targeting of the FGF2, FGF9, MECOM, PLA2G4C and PRKACB might increase tumor responsiveness to irinotecan treatment.

SUBMITTER: Makondi PT

PROVIDER: S-EPMC5531462 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Prediction of novel target genes and pathways involved in irinotecan-resistant colorectal cancer.

Makondi Precious Takondwa PT Chu Chi-Ming CM Wei Po-Li PL Chang Yu-Jia YJ

PloS one 20170727 7

<h4>Background</h4>Acquired drug resistance to the chemotherapeutic drug irinotecan (the active metabolite of which is SN-38) is one of the significant obstacles in the treatment of advanced colorectal cancer (CRC). The molecular mechanism or targets mediating irinotecan resistance are still unclear. It is urgent to find the irinotecan response biomarkers to improve CRC patients' therapy.<h4>Methods</h4>Genetic Omnibus Database GSE42387 which contained the gene expression profiles of parental an ...[more]

PMID: 28749961

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Project description:Bevacizumab combined with cytotoxic chemotherapy is the backbone of metastatic colorectal cancer (mCRC) therapy; however, its treatment efficacy is hampered by therapeutic resistance. Therefore, understanding the mechanisms underlying bevacizumab resistance is crucial to increasing the therapeutic efficacy of bevacizumab. The Gene Expression Omnibus (GEO) database (dataset, GSE86525) was used to identify the key genes and pathways involved in bevacizumab-resistant mCRC. The GEO2R web tool was used to identify differentially expressed genes (DEGs). Functional and pathway enrichment analyses of the DEGs were performed using the Database for Annotation, Visualization, and Integrated Discovery(DAVID). Protein-protein interaction (PPI) networks were established using the Search Tool for the Retrieval of Interacting Genes/Proteins database(STRING) and visualized using Cytoscape software. A total of 124 DEGs were obtained, 57 of which upregulated and 67 were downregulated. PPI network analysis showed that seven upregulated genes and nine downregulated genes exhibited high PPI degrees. In the functional enrichment, the DEGs were mainly enriched in negative regulation of phosphate metabolic process and positive regulation of cell cycle process gene ontologies (GOs); the enriched pathways were the phosphoinositide 3-kinase-serine/threonine kinase signaling pathway, bladder cancer, and microRNAs in cancer. Cyclin-dependent kinase inhibitor 1A(CDKN1A), toll-like receptor 4 (TLR4), CD19 molecule (CD19), breast cancer 1, early onset (BRCA1), platelet-derived growth factor subunit A (PDGFA), and matrix metallopeptidase 1 (MMP1) were the DEGs involved in the pathways and the PPIs. The clinical validation of the DEGs in mCRC (TNM clinical stages 3 and 4) revealed that high PDGFA expression levels were associated with poor overall survival, whereas high BRCA1 and MMP1 expression levels were associated with favorable progress free survival(PFS). The identified genes and pathways can be potential targets and predictors of therapeutic resistance and prognosis in bevacizumab-treated patients with mCRC.

Project description:BackgroundCetuximab has been regularly added to the treatments for metastatic colorectal cancer worldwide. However, due to its therapeutic insensitivity and underlying mechanisms being largely unknown, the clinical implementation of cetuximab in colorectal cancer remains limited.MethodsThe gene expression profile GSE56386 was retrieved from the Gene Expression Omnibus database. Differentially expressed genes were identified between cetuximab-responsive patients and nonresponders, annotated by gene ontology, Kyoto Encyclopedia of Genes and Genomes pathway analysis, and further analyzed by protein-protein interaction networks. The integrative prognostic analysis was based on The Cancer Genome Atlas and PrognoScan.Results1350 differentially expressed genes were identified with 298 upregulated and 1052 downregulated. Epidermis development, the cornified envelope, calcium ion binding, and amoebiasis were enriched in upregulated genes while digestion, the apical part of the cell, the 3',5'-cyclic-adenosine monophosphate phosphodiesterase activity and pancreatic secretion were found enriched in downregulated genes. The top 10 hub genes were identified, including epithermal growth factor, G-protein subunit β 5, G-protein subunit γ 4, fibroblast growth factor 2, B-cell lymphoma protein 2, acetyl-coenzyme A carboxylase β, KIT proto-oncogene receptor tyrosine kinase, adenylate cyclase 4, neuropeptide Y, and neurotensin. The hub genes exhibited distinct correlations in cetuximab-treated and untreated genomic profiles (GSE56386, GSE5851 and GSE82236). The highest correlation was found between B-cell lymphoma protein 2 and acetyl-coenzyme A carboxylase β in GSE56386. The mRNA expression of hub genes was further validated in the genomic profile GSE65021. Furthermore, B-cell lymphoma protein 2 and acetyl-coenzyme A carboxylase β also exhibited highest degrees among the hub genes correlation networks based on The Cancer Genome Atlas. Both B-cell lymphoma and acetyl-coenzyme A carboxylase β were not independent prognostic factors for colorectal cancer in univariate and multivariate Cox analysis. However, integrative survival analysis indicated that B-cell lymphoma protein 2 was associated with favorable prognosis (hazard ratio = 0.62, 95% confidence interval, 0.30-0.95, P = .024).DiscussionThis in silico analysis provided a feasible and reliable strategy for systematic exploration of insightful target genes, pathways and mechanisms underlying the cetuximab insensitivity in colorectal cancer. B-cell lymphoma protein 2 was associated with favorable prognosis.

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Prediction of novel target genes and pathways involved in irinotecan-resistant colorectal cancer.

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Prediction of novel target genes and pathways involved in irinotecan-resistant colorectal cancer.

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