Deep systems insights into the conceptual breakthrough of the noncoding RNA functional network and its role in cancer

Noncoding RNAs (ncRNAs) transcribed from noncoding regions of the human genome are highly active and functionally significant; however, the nature of their functional system remains a subject of debate. Recent advances in big data and artificial intelligence have enabled a conceptual breakthrough in understanding this system. Unlike traditional models derived from protein studies and evolutionary conservation patterns, ncRNAs operate through distinct functional mechanisms and serve as critical endogenous regulators across all cancers. This presentation will provide deep systems-level insights into the ncRNA functional network and its universal role in cancer biology, and clarify major misconceptions in the field.
Cancer Research 2025 Youtube link: https://www.youtube.com/watch?v=whQeHl10ptE

Dr. Anyou Wang, a graduate of the University of California, Riverside, is passionate about computational biology, big data, and AI. He develops computational algorithms to extract fundamental insights from large-scale biological data. He is a pioneer in utilizing the world’s largest database to uncover noncoding RNAs (ncRNAs) as central players in all cancers and as evolutionary drivers of lifespan across animal species, challenging the traditional protein-centric paradigm. Additionally, Dr. Wang has developed innovative algorithms to systematically analyze all SARS-CoV-2 genomes, uncovering the virus’s evolutionary trajectory and origins, which contributed to the COVID-19 pandemic.