Poisson Distribution-Based Model of Cancer Rates & Cancer Risk-Dependent Theory of Aging | Aging-US

Posted by

Aging (Aging-US)

Dr. Wenbo Yu, Stanley from the Centre for Cancer Biology, SA Pathology and University of South Australia details a research perspective he co-authored that was published by Aging (Aging-US) in Volume 15, Issue 17, entitled, “A Poisson distribution-based general model of cancer rates and a cancer risk-dependent theory of aging.” DOI - https://doi.org/10.18632/aging.205016 Corresponding author - Wenbo Yu - stanley.yu@sa.gov.au Abstract This article presents a formula for modeling the lifetime incidence of cancer in humans. The formula utilizes a Poisson distribution-based “np” model to predict cancer incidence, with “n” representing the effective number of cell turnover and “p” representing the probability of single-cell transformation. The model accurately predicts the observed incidence of cancer in humans when a reduction in cell turnover due to aging is taken into account. The model also suggests that cancer development is ultimately inevitable. The article proposes a theory of aging based on this concept, called the “np” theory. According to this theory, an organism maintains its order by balancing cellular entropy through continuous proliferation. However, cellular “information entropy” in the form of accumulated DNA mutations increases irreversibly over time, restricting the total number of cells an organism can generate throughout its lifetime. When cell division slows down and fails to compensate for the increased entropy in the system, aging occurs. Essentially, aging is the phenomenon of running out of predetermined cell resources. Different species have evolved separate strategies to utilize their limited cell resources throughout their life cycle. Sign up for free Altmetric alerts about this article - https://aging.altmetric.com/details/email_updates?id=10.18632%2Faging.205016 Subscribe for free publication alerts from Aging - https://www.aging-us.com/subscribe-to-toc-alerts Keywords - aging, cancer incidence model, poisson distribution, entropy About Aging-US Launched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways. Please visit our website at https://www.Aging-US.com​​ and connect with us: SoundCloud - https://soundcloud.com/Aging-Us Facebook - https://www.facebook.com/AgingUS/ Twitter - https://twitter.com/AgingJrnl Instagram - https://www.instagram.com/agingjrnl/ YouTube - https://www.youtube.com/@AgingJournal LinkedIn - https://www.linkedin.com/company/aging/ Pinterest - https://www.pinterest.com/AgingUS/ Media Contact 18009220957 MEDIA@IMPACTJOURNALS.COM