Limited Cell-Autonomous Anticancer Mechanisms in Long-Lived Bats

Fathima Athar,Zhizhong Zheng, Sebastien Riquier, Maxwell Zacher, Dominic Alcock, Alexander Galazyuk,Lisa N Cooper,Tony Schountz,Linfa Wang,Emma Teeling,Andrei Seluanov,Vera Gorbunova

biorxiv(2024)

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摘要
Bats are remarkably long-lived for their size with many species living more than 20-40 years, suggesting that they possess efficient anti-aging and anti-cancer defenses. Here we investigated requirements for malignant transformation in primary bat fibroblasts in four bat species - little brown bat (Myotis lucifugus), big brown bat (Eptesicus fuscus), cave nectar bat (Eonycteris spelaea) and Jamaican fruit bat (Artibeus jamaicensis), spanning the bat evolutionary tree and including the longest-lived genera. We show that bat fibroblasts do not undergo replicative senescence and express active telomerase. Bat cells displayed attenuated stress induced premature senescence with a dampened secretory phenotype. Unexpectedly, we discovered that bat cells could be readily transformed by only two oncogenic perturbations or hits: inactivation of either p53 or pRb and activation of oncogenic RASV12. This was surprising because other long-lived mammalian species require up to five hits for malignant transformation. Additionally, bat fibroblasts exhibited increased p53 and MDM2 transcript levels, and elevated p53-dependent apoptosis. The little brown bat showed a genomic duplication of the p53 gene. We hypothesize that bats evolved enhanced p53 activity through gene duplications and transcriptional upregulation as an additional anti-cancer strategy, similar to elephants. In summary, active telomerase and the small number of oncogenic hits sufficient to malignantly transform bat cells suggest that in vivo bats rely heavily on non-cell autonomous mechanisms of tumor suppression. ### Competing Interest Statement VG, LW and ET serve on the scientific advisory board of Paratus Sciences, a company developing the tools and methods necessary to understand bat biology and apply these insights to develop new therapies.
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