Lung Cancer Biomarker Identification from Differential Expression Analysis Using RNA-Seq Data for Designing Multitargeted Drugs

Lung cancer presents a global health challenge, demanding exploration of its molecular intricacies for treatment targets. The goal is to delay progression and intervene early, reducing patient burden. Novel biomarkers are urgently needed for early diagnosis. We analysed RNA sequencing on lung cancer...

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Main Authors: Syed Naseer Ahmad Shah, Rafat Parveen
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Biology and Life Sciences Forum
Subjects:
Online Access:https://www.mdpi.com/2673-9976/35/1/2
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author Syed Naseer Ahmad Shah
Rafat Parveen
author_facet Syed Naseer Ahmad Shah
Rafat Parveen
author_sort Syed Naseer Ahmad Shah
collection DOAJ
description Lung cancer presents a global health challenge, demanding exploration of its molecular intricacies for treatment targets. The goal is to delay progression and intervene early, reducing patient burden. Novel biomarkers are urgently needed for early diagnosis. We analysed RNA sequencing on lung cancer samples from NCBI’s SRA database. Using Bioconductor in R, we identified key genes, including hub genes TOP2A and TMEM100, crucial for cellular processes. Additionally, FDA-approved drugs are repurposed as multitargeted inhibitors against upregulated genes, validated through simulations. This approach aims to inhibit the function of crucial genes, potentially offering effective treatment for lung cancer within a comprehensive strategy.
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spelling doaj-art-682c33a03d5a4a2798ddb60934fc9be12025-08-20T02:11:01ZengMDPI AGBiology and Life Sciences Forum2673-99762024-08-01351210.3390/blsf2024035002Lung Cancer Biomarker Identification from Differential Expression Analysis Using RNA-Seq Data for Designing Multitargeted DrugsSyed Naseer Ahmad Shah0Rafat Parveen1Department of Computer Science, Jamia Millia Islamia, New Delhi 110025, IndiaDepartment of Computer Science, Jamia Millia Islamia, New Delhi 110025, IndiaLung cancer presents a global health challenge, demanding exploration of its molecular intricacies for treatment targets. The goal is to delay progression and intervene early, reducing patient burden. Novel biomarkers are urgently needed for early diagnosis. We analysed RNA sequencing on lung cancer samples from NCBI’s SRA database. Using Bioconductor in R, we identified key genes, including hub genes TOP2A and TMEM100, crucial for cellular processes. Additionally, FDA-approved drugs are repurposed as multitargeted inhibitors against upregulated genes, validated through simulations. This approach aims to inhibit the function of crucial genes, potentially offering effective treatment for lung cancer within a comprehensive strategy.https://www.mdpi.com/2673-9976/35/1/2lung cancerRNA-SeqbiomarkersDEGearly diagnosishub genes
spellingShingle Syed Naseer Ahmad Shah
Rafat Parveen
Lung Cancer Biomarker Identification from Differential Expression Analysis Using RNA-Seq Data for Designing Multitargeted Drugs
Biology and Life Sciences Forum
lung cancer
RNA-Seq
biomarkers
DEG
early diagnosis
hub genes
title Lung Cancer Biomarker Identification from Differential Expression Analysis Using RNA-Seq Data for Designing Multitargeted Drugs
title_full Lung Cancer Biomarker Identification from Differential Expression Analysis Using RNA-Seq Data for Designing Multitargeted Drugs
title_fullStr Lung Cancer Biomarker Identification from Differential Expression Analysis Using RNA-Seq Data for Designing Multitargeted Drugs
title_full_unstemmed Lung Cancer Biomarker Identification from Differential Expression Analysis Using RNA-Seq Data for Designing Multitargeted Drugs
title_short Lung Cancer Biomarker Identification from Differential Expression Analysis Using RNA-Seq Data for Designing Multitargeted Drugs
title_sort lung cancer biomarker identification from differential expression analysis using rna seq data for designing multitargeted drugs
topic lung cancer
RNA-Seq
biomarkers
DEG
early diagnosis
hub genes
url https://www.mdpi.com/2673-9976/35/1/2
work_keys_str_mv AT syednaseerahmadshah lungcancerbiomarkeridentificationfromdifferentialexpressionanalysisusingrnaseqdatafordesigningmultitargeteddrugs
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