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Robust Identification of Common Genomic Biomarkers from Multiple Gene Expression Profiles for the Prognosis, Diagnosis, and Therapies of Pancreatic Cancer by Md Bayazid Hossen; Md Ariful Islam; Md Selim Reza; Md Kaderi Kibria; Md Abu Horaira; Khanis Farhana Tuly; Md Omar Faruqe; Firoz Kabir; Md Nurul Haque Mollah is a Medicine article available to read on EtoBox.
What is Robust Identification of Common Genomic Biomarkers from Multiple Gene Expression Profiles for the Prognosis, Diagnosis, and Therapies of Pancreatic Cancer about?
Pancreatic cancer (PC) is one of the leading causes of cancer-related death globally. So, identification of potential molecular signatures is required for diagnosis, prognosis, and therapies of PC. In this study, we detected 71 common differentially expressed genes (cDEGs) between PC and control samples from four microarray geneexpression datasets (GSE15471, GSE16515, GSE71989, and GSE22780) by using robust statistical and machine learning approaches, since microarray gene-expression datasets are often contaminated by outliers due to several steps involved in the data generating processes. Then we detected 8 cDEGs (ADAM10, COL1A2, FN1, P4HB, ITGB1, ITGB5, ANXA2, and MYOF) as the PC-causing key genes (KGs) by the protein-protein interaction (PPI) network analysis. We validated the expression patterns of KGs between case and control samples by box plot analysis with the TCGA and GTEx databases. The proposed KGs showed high prognostic power with the random forest (RF) based prediction model and Kaplan-Meier-based survival probability curve. The KGs regulatory network analysis detected few transcriptional and post-transcriptional regulators for KGs. The cDEGs-set enrichment analysis re
Who reads Robust Identification of Common Genomic Biomarkers from Multiple Gene Expression Profiles for the Prognosis, Diagnosis, and Therapies of Pancreatic Cancer?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Md Bayazid Hossen; Md Ariful Islam; Md Selim Reza; Md Kaderi Kibria; Md Abu Horaira; Khanis Farhana Tuly; Md Omar Faruqe; Firoz Kabir; Md Nurul Haque Mollah
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Medicine (Physical Sciences)