A computational study of gene expression patterns in head and neck squamous cell carcinoma using TCGA data

Aim: Head and Neck squamous cell carcinoma (HNSCC) is the second most prevalent cancer in Pakistan. Methods: Gene expression data from TCGA and GETx for normal genes to analyze Differentially Expressed Genes (DEGs). Data was further investigated using the Enrichr tool to perform Gene Ontology (GO)....

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Main Authors: Saqib Rauf, Sami Ullah, Muhammad Adil Abid, Asad Ullah, Gullzar Khan, Ainee Urooj Khan, Gulzar Ahmad, Muhammad Ijaz, Sidra Ahmad, Sulaiman Faisal
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Future Science OA
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Online Access:https://www.tandfonline.com/doi/10.1080/20565623.2024.2380590
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author Saqib Rauf
Sami Ullah
Muhammad Adil Abid
Asad Ullah
Gullzar Khan
Ainee Urooj Khan
Gulzar Ahmad
Muhammad Ijaz
Sidra Ahmad
Sulaiman Faisal
author_facet Saqib Rauf
Sami Ullah
Muhammad Adil Abid
Asad Ullah
Gullzar Khan
Ainee Urooj Khan
Gulzar Ahmad
Muhammad Ijaz
Sidra Ahmad
Sulaiman Faisal
author_sort Saqib Rauf
collection DOAJ
description Aim: Head and Neck squamous cell carcinoma (HNSCC) is the second most prevalent cancer in Pakistan. Methods: Gene expression data from TCGA and GETx for normal genes to analyze Differentially Expressed Genes (DEGs). Data was further investigated using the Enrichr tool to perform Gene Ontology (GO). Results: Our analysis identified most significantly differentially expressed genes and explored their established cellular functions as well as their potential involvement in tumor development. We found that the highly expressed Keratin family and S100A9 genes. The under-expressed genes KRT4 and KRT13 provide instructions for the production of keratin proteins. Conclusion: Our study suggests that factors such as poor oral hygiene and smokeless tobacco can result in oral stress and cellular damage and cause cancer.
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issn 2056-5623
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publisher Taylor & Francis Group
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series Future Science OA
spelling doaj-art-804f9fa78ec04d07820891f33f1a3e952025-08-20T03:13:04ZengTaylor & Francis GroupFuture Science OA2056-56232024-12-0110110.1080/20565623.2024.2380590A computational study of gene expression patterns in head and neck squamous cell carcinoma using TCGA dataSaqib Rauf0Sami Ullah1Muhammad Adil Abid2Asad Ullah3Gullzar Khan4Ainee Urooj Khan5Gulzar Ahmad6Muhammad Ijaz7Sidra Ahmad8Sulaiman Faisal9Institute of Integrative Biosciences, CECOS University Peshawar, 25000, PakistanCentre for Omics Sciences, Islamia College Peshawar, 25000, PakistanCentre for Omics Sciences, Islamia College Peshawar, 25000, PakistanInstitute of Biotechnology & Genetic Engineering, University of Agriculture Peshawar, 25000, PakistanCentre for Omics Sciences, Islamia College Peshawar, 25000, PakistanInstitute of Integrative Biosciences, CECOS University Peshawar, 25000, PakistanInstitute of Biotechnology & Genetic Engineering, University of Agriculture Peshawar, 25000, PakistanInstitute of Integrative Biosciences, CECOS University Peshawar, 25000, PakistanInstitute of Biotechnology & Genetic Engineering, University of Agriculture Peshawar, 25000, PakistanInstitute of Integrative Biosciences, CECOS University Peshawar, 25000, PakistanAim: Head and Neck squamous cell carcinoma (HNSCC) is the second most prevalent cancer in Pakistan. Methods: Gene expression data from TCGA and GETx for normal genes to analyze Differentially Expressed Genes (DEGs). Data was further investigated using the Enrichr tool to perform Gene Ontology (GO). Results: Our analysis identified most significantly differentially expressed genes and explored their established cellular functions as well as their potential involvement in tumor development. We found that the highly expressed Keratin family and S100A9 genes. The under-expressed genes KRT4 and KRT13 provide instructions for the production of keratin proteins. Conclusion: Our study suggests that factors such as poor oral hygiene and smokeless tobacco can result in oral stress and cellular damage and cause cancer.https://www.tandfonline.com/doi/10.1080/20565623.2024.2380590Big DataDEGGene OntologyHNSCCKRT13TCGA
spellingShingle Saqib Rauf
Sami Ullah
Muhammad Adil Abid
Asad Ullah
Gullzar Khan
Ainee Urooj Khan
Gulzar Ahmad
Muhammad Ijaz
Sidra Ahmad
Sulaiman Faisal
A computational study of gene expression patterns in head and neck squamous cell carcinoma using TCGA data
Future Science OA
Big Data
DEG
Gene Ontology
HNSCC
KRT13
TCGA
title A computational study of gene expression patterns in head and neck squamous cell carcinoma using TCGA data
title_full A computational study of gene expression patterns in head and neck squamous cell carcinoma using TCGA data
title_fullStr A computational study of gene expression patterns in head and neck squamous cell carcinoma using TCGA data
title_full_unstemmed A computational study of gene expression patterns in head and neck squamous cell carcinoma using TCGA data
title_short A computational study of gene expression patterns in head and neck squamous cell carcinoma using TCGA data
title_sort computational study of gene expression patterns in head and neck squamous cell carcinoma using tcga data
topic Big Data
DEG
Gene Ontology
HNSCC
KRT13
TCGA
url https://www.tandfonline.com/doi/10.1080/20565623.2024.2380590
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