Bioinformatics Screening of Potential Biomarkers from mRNA Expression Profiles to Discover Drug Targets and Agents for Cervical Cancer

doi:10.3390/ijms23073968

	Bioinformatics Screening of Potential Biomarkers from mRNA Expression Profiles to Discover Drug Targets and Agents for Cervical Cancer
	Reza, Md Selim 1,2,3; Harun-Or-Roshid, Md 3; Islam, Md Ariful 3; Hossen, Md Alim 3; Hossain, Md Tofazzal 1,2; Feng, Shengzhong 1; Xi, Wenhui 1,2; Mollah, Md Nurul Haque 3; Wei, Yanjie 1,2
	2022-04-01
发表期刊	INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
卷号	23 期号:7 页码:21
摘要	Bioinformatics analysis has been playing a vital role in identifying potential genomic biomarkers more accurately from an enormous number of candidates by reducing time and cost compared to the wet-lab-based experimental procedures for disease diagnosis, prognosis, and therapies. Cervical cancer (CC) is one of the most malignant diseases seen in women worldwide. This study aimed at identifying potential key genes (KGs), highlighting their functions, signaling pathways, and candidate drugs for CC diagnosis and targeting therapies. Four publicly available microarray datasets of CC were analyzed for identifying differentially expressed genes (DEGs) by the LIMMA approach through GEO2R online tool. We identified 116 common DEGs (cDEGs) that were utilized to identify seven KGs (AURKA, BRCA1, CCNB1, CDK1, MCM2, NCAPG2, and TOP2A) by the protein-protein interaction (PPI) network analysis. The GO functional and KEGG pathway enrichment analyses of KGs revealed some important functions and signaling pathways that were significantly associated with CC infections. The interaction network analysis identified four TFs proteins and two miRNAs as the key transcriptional and post-transcriptional regulators of KGs. Considering seven KGs-based proteins, four key TFs proteins, and already published top-ranked seven KGs-based proteins (where five KGs were common with our proposed seven KGs) as drug target receptors, we performed their docking analysis with the 80 meta-drug agents that were already published by different reputed journals as CC drugs. We found Paclitaxel, Vinorelbine, Vincristine, Docetaxel, Everolimus, Temsirolimus, and Cabazitaxel as the top-ranked seven candidate drugs. Finally, we investigated the binding stability of the top-ranked three drugs (Paclitaxel, Vincristine, Vinorelbine) by using 100 ns MD-based MM-PBSA simulations with the three top-ranked proposed receptors (AURKA, CDK1, TOP2A) and observed their stable performance. Therefore, the proposed drugs might play a vital role in the treatment against CC.
关键词	cervical cancer mRNA expression profiles key genes candidate drugs integrated bioinformatics analysis
DOI	10.3390/ijms23073968
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2018YFB0204403] ; Strategic Priority CAS Project[XDB38050100] ; Key Research and Development Project of Guangdong Province[2021B0101310002] ; National Science Foundation of China[U1813203] ; Shenzhen Basic Research Fund[RCYX2020071411473419] ; Shenzhen Basic Research Fund[JCYJ20200109114818703] ; Shenzhen Basic Research Fund[JSGG20201102163800001] ; CAS Key Lab[2011DP173015] ; Youth Innovation Promotion Association[Y2021101] ; Bangladesh Medical Research Council (BMRC) research project[BMRC/HPNSP-Research Grant/2020-2021/306(1-28)]
WOS研究方向	Biochemistry & Molecular Biology ; Chemistry
WOS类目	Biochemistry & Molecular Biology ; Chemistry, Multidisciplinary
WOS记录号	WOS:000780553000001
出版者	MDPI
引用统计	被引频次：23[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/18899
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Mollah, Md Nurul Haque; Wei, Yanjie
作者单位	1.Chinese Acad Sci, Ctr High Performance Comp, Joint Engn Res Ctr Hlth Big Data Intelligent Anal, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China 2.Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing 100049, Peoples R China 3.Univ Rajshahi, Dept Stat, Bioinformat Lab, Rajshahi 6205, Bangladesh
推荐引用方式 GB/T 7714	Reza, Md Selim,Harun-Or-Roshid, Md,Islam, Md Ariful,et al. Bioinformatics Screening of Potential Biomarkers from mRNA Expression Profiles to Discover Drug Targets and Agents for Cervical Cancer[J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES,2022,23(7):21.
APA	Reza, Md Selim.,Harun-Or-Roshid, Md.,Islam, Md Ariful.,Hossen, Md Alim.,Hossain, Md Tofazzal.,...&Wei, Yanjie.(2022).Bioinformatics Screening of Potential Biomarkers from mRNA Expression Profiles to Discover Drug Targets and Agents for Cervical Cancer.INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES,23(7),21.
MLA	Reza, Md Selim,et al."Bioinformatics Screening of Potential Biomarkers from mRNA Expression Profiles to Discover Drug Targets and Agents for Cervical Cancer".INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES 23.7(2022):21.