A comprehensive bioinformatics analysis of fatty acid metabolism-associated genes in the diagnosis and prognosis of head and neck squamous cell carcinoma

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 (FA...

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Main Authors: Shirin Alsadat Hashemi Fesharaki, Sara Kiani Abari, Behnaz Yazdani, Hadi Farajollahi, Fatemeh Padidari Kalashami, Anahita Zadsar, Hajar Sirous
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2025-05-01
Series:Research in Pharmaceutical Sciences
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Online Access:https://journals.lww.com/10.4103/RPS.RPS_209_23
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author Shirin Alsadat Hashemi Fesharaki
Sara Kiani Abari
Behnaz Yazdani
Hadi Farajollahi
Fatemeh Padidari Kalashami
Anahita Zadsar
Hajar Sirous
author_facet Shirin Alsadat Hashemi Fesharaki
Sara Kiani Abari
Behnaz Yazdani
Hadi Farajollahi
Fatemeh Padidari Kalashami
Anahita Zadsar
Hajar Sirous
author_sort Shirin Alsadat Hashemi Fesharaki
collection DOAJ
description 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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spelling doaj-art-7572394d080a4722a5eef3b46a53ab2e2025-08-20T02:44:28ZengWolters Kluwer Medknow PublicationsResearch in Pharmaceutical Sciences1735-53621735-94142025-05-0120335637210.4103/RPS.RPS_209_23A comprehensive bioinformatics analysis of fatty acid metabolism-associated genes in the diagnosis and prognosis of head and neck squamous cell carcinomaShirin Alsadat Hashemi FesharakiSara Kiani AbariBehnaz YazdaniHadi FarajollahiFatemeh Padidari KalashamiAnahita ZadsarHajar SirousBackground 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.https://journals.lww.com/10.4103/RPS.RPS_209_23cyp4b1diagnosiselovl6fatty acid metabolismfmo2head and neck squamous cell carcinomaprognosis
spellingShingle Shirin Alsadat Hashemi Fesharaki
Sara Kiani Abari
Behnaz Yazdani
Hadi Farajollahi
Fatemeh Padidari Kalashami
Anahita Zadsar
Hajar Sirous
A comprehensive bioinformatics analysis of fatty acid metabolism-associated genes in the diagnosis and prognosis of head and neck squamous cell carcinoma
Research in Pharmaceutical Sciences
cyp4b1
diagnosis
elovl6
fatty acid metabolism
fmo2
head and neck squamous cell carcinoma
prognosis
title A comprehensive bioinformatics analysis of fatty acid metabolism-associated genes in the diagnosis and prognosis of head and neck squamous cell carcinoma
title_full A comprehensive bioinformatics analysis of fatty acid metabolism-associated genes in the diagnosis and prognosis of head and neck squamous cell carcinoma
title_fullStr A comprehensive bioinformatics analysis of fatty acid metabolism-associated genes in the diagnosis and prognosis of head and neck squamous cell carcinoma
title_full_unstemmed A comprehensive bioinformatics analysis of fatty acid metabolism-associated genes in the diagnosis and prognosis of head and neck squamous cell carcinoma
title_short A comprehensive bioinformatics analysis of fatty acid metabolism-associated genes in the diagnosis and prognosis of head and neck squamous cell carcinoma
title_sort comprehensive bioinformatics analysis of fatty acid metabolism associated genes in the diagnosis and prognosis of head and neck squamous cell carcinoma
topic cyp4b1
diagnosis
elovl6
fatty acid metabolism
fmo2
head and neck squamous cell carcinoma
prognosis
url https://journals.lww.com/10.4103/RPS.RPS_209_23
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