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Elucidating the molecular basis of atp-induced cell death in breast cancer: Construction of a robust prognostic model

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World Journal of Clinical Oncology 2024年第2期15卷 208-242页

作者： Hao-Ling Zhang Sandai Doblin Zhong-Wen Zhang Zhi-Jing Song Babu Dinesh Yasser Tabana DahhamSabbar Saad Mowaffaq Adam Ahmed Adam Yong Wang Wei Wang Hao-Long Zhang Sen Wu Rui Zhao Barakat Khaled Department of Biomedical Sciences Advanced Medical and Dental InstituteUniversiti Sains MalaysiaPenang 13200Malaysia School of Public Health Gansu University of Chinese MedicineLanzhou 730000Gansu ProvinceChina Clinical College of Chinese Medicine Gansu University of Chinese MedicineLanzhou 730000Gansu ProvinceChina Faculty of Pharmacy and Pharmaceutical Sciences University of AlbertaEdmonton AB T6G 2E1Canada Department of Science University of Technology and Applied Sciences RustaqRustaq 10 P.C.329Oman Department of Chemistry and Biochemistry San Diego State UniversitySan DiegoCA 92182United States Department of Pathology Center Gansu University of Chinese MedicineLanzhou 730000Gansu ProvinceChina College of Acupuncture-moxibustion and Tuina Gansu University of Chinese MedicineLanzhou 730000Gansu ProvinceChina Universiti Sains Malaysia Advanced Medical and Dental InstitutePenang 13200Malaysia Department of Biomedical Science Universiti Sains MalaysiaPenang 13200Malaysia

BACKGROUND Breast cancer is a multifaceted and formidable disease with profound public health *** demise mechanisms play a pivotal role in breast cancer pathogenesis,with atp-triggered cell death attracting mounting interest for its unique specificity and potential therapeutic *** To investigate the impact of atp-induced cell death(AICD)on breast cancer,enhancing our understanding of its *** The foundational genes orchestrating AICD mechanisms were extracted from the literature,underpinning the establishment of a prognostic ***,a microRNA(miRNA)prognostic model was constructed that mirrored the gene-based prognostic *** between high-and low-risk cohorts within mRNA and miRNA characteristic models were scrutinized,with the aim of delineating common influence mechanisms,substantiated through enrichment analysis and immune infiltration *** The mRNA prognostic model in this study encompassed four specific mRNAs:P2X purinoceptor 4,pannexin 1,caspase 7,and cyclin *** miRNA prognostic model integrated four pivotal miRNAs:hsa-miR-615-3p,hsa-miR-519b-3p,hsa-miR-342-3p,and hsa-miR-324-3p.B cells,CD4+T cells,CD8+T cells,endothelial cells,and macrophages exhibited inverse correlations with risk scores across all breast cancer ***,Kyoto Encyclopedia of Genes and Genomes analysis revealed that genes differentially expressed in response to mRNA risk scores significantly enriched 25 signaling pathways,while miRNA risk scores significantly enriched 29 signaling pathways,with 16 pathways being jointly *** Of paramount significance,distinct mRNA and miRNA signature models were devised tailored to AICD,both potentially autonomous prognostic *** study's elucidation of the molecular underpinnings of AICD in breast cancer enhances the arsenal of potential therapeutic tools,offering an unparalleled window for innovative ***,this paper revea

关键词： atp-induced cell death mRNA miRNA Prognostic model Breast cancer

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