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Research in Pharmaceutical Sciences، جلد ۲۰، شماره ۳، صفحات ۳۵۶-۳۷۲
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عنوان فارسی |
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چکیده فارسی مقاله |
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کلیدواژههای فارسی مقاله |
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عنوان انگلیسی |
A comprehensive bioinformatics analysis of fatty acid metabolism-associated genes in the diagnosis and prognosis of head and neck squamous cell carcinoma |
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چکیده انگلیسی مقاله |
Background and purpose: One of the most prevalent types of malignancies affecting the cells in the mucosal surface of the oral cavity and pharynx regions is head and neck squamous cell carcinoma (HNSCC). This study analyzed the metabolic profile of genes involved in the metabolism of fatty acids (FAs) to identify biomarkers with prognostic and diagnostic potential in HNSCC. Experimental approach: Gene set enrichment analysis, differential gene expression, and correlation analysis methods were used to examine the enrichment and expression patterns of genes involved in the metabolism of FAs in the HNSCC tissue samples. Gene ontology and network analysis were performed to explore the molecular interactions in the metabolic pathways of FAs. The diagnostic and prognostic potentials of identified highly dysregulated genes in HNSCC were examined by ROC test and Cox-regression methods. Findings/Results: FA-associated metabolic pathways were significantly dysregulated in the HNSC cancer samples. For the diagnosis of HNSC cancer, CYP4B1 and FMO2 could be potential biomarkers, while for the prognosis of HNSCC survival periods, ACOX2, CYP4F12, and ELOVL6 could hold valuable biomarker potential. Conclusion and implications: The findings could help target the metabolism of FAs using the identified biomarkers for the design of new therapeutic opportunities for patients with HNSCC. |
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کلیدواژههای انگلیسی مقاله |
CYP4B1,Diagnosis,ELOVL6,Fatty acid metabolism,FMO2,Head and neck squamous cell carcinoma,Prognosis. |
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نویسندگان مقاله |
| Shirin Alsadat Hashemi Fesharaki Department of Biology, Falavarjan Branch, Islamic Azad University, Isfahan, I.R. Iran.
| Sara Kiani Abari Bioscience Department, Faculty of Science and Technology (FCT), Universitat de Vic-Universitat Central de Catalunya (Uvic-UCC), Vic, Spain.
| Behnaz Yazdani Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, I.R. Iran.
| Hadi Farajollahi Department of Molecular and Cellular Sciences, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, I.R. Iran.
| Fatemeh Padidari Kalashami Department of Cellular and Molecular Biology, Bushehr Branch, Payame Noor University, Bushehr, I.R. Iran.
| Anahita Zadsar Bioinformatics Research Center, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, I.R. Iran.
| Hajar Sirous
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نشانی اینترنتی |
http://rps.mui.ac.ir/index.php/jrps/article/view/2312 |
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زبان مقاله منتشر شده |
en |
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نوع مقاله منتشر شده |
Original Article |
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