A comprehensive AI‐driven analysis of large‐scale omic datasets reveals novel dual‐purpose targets for the treatment of cancer and aging

As aging and tumorigenesis are tightly interconnected biological processes, targeting their common underlying driving pathways may induce dual‐purpose anti‐aging and anti‐cancer effects. Our transcriptomic analyses of 16,740 healthy samples demonstrated tissue‐specific age‐associated gene expression...

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Veröffentlicht in:	Aging cell 2023-12, Vol.22 (12), p.e14017-n/a
Hauptverfasser:	Pun, Frank W., Leung, Geoffrey Ho Duen, Leung, Hoi Wing, Rice, Jared, Schmauck‐Medina, Tomas, Lautrup, Sofie, Long, Xi, Liu, Bonnie Hei Man, Wong, Chun Wai, Ozerov, Ivan V., Aliper, Alex, Ren, Feng, Rosenberg, Ari J., Agrawal, Nishant, Izumchenko, Evgeny, Fang, Evandro F., Zhavoronkov, Alex
Format:	Artikel
Sprache:	eng
Schlagworte:	Age Aging anti‐aging artificial intelligence Cancer Cancer therapies Cell cycle Datasets DNA biosynthesis DNA damage DNA repair Down-regulation Epidemiology Epigenetics Extracellular matrix Gene expression hallmarks of aging Histones Inflammation Life span Localization longevity multiomics Mutation Proteins Proteomics Senescence Solid tumors Surveillance target discovery Transcriptomics Tumor suppressor genes Tumorigenesis
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