{"title":"Analysis of Cancer-Resisting Evolutionary Adaptations in Wild Animals and Applications for Human Oncology","authors":"Bokai K. Zhang, Leonard Gines","doi":"10.1007/s00239-024-10204-w","DOIUrl":null,"url":null,"abstract":"<p>This literature review is to present a new direction in developing better treatment or preventive measures. The larger the body of an organism, the more numerous the cells, which theoretically lead to a higher risk of cancer. However, observational studies suggest the lack of correlation between body size and cancer risk, which is known as Peto’s paradox. The corollary of Peto’s paradox is that large organisms must be cancer-resistant. Further investigation of the anti-cancer mechanisms in each species could be potentially rewarding, and how the anti-cancer mechanisms found in wild animals can help influence and develop more effective cancer treatment in humans is the main focus of this literature review. Due to a lack of research and understanding of the exact molecular mechanisms of the researched species, only a few (Elephants and rodents) that have been extensively researched have made substantive contributions to human oncology. A new research direction is to investigate the positively selective genes that are related to cancer resistance and see if homologous genes are presented in humans. Despite the great obstacle of applying anti-cancer mechanisms to the human body from phylogenetically distant species, this research direction of gaining insights through investigating cancer-resisting evolutionary adaptations in wild animals has great potential in human oncology research.</p>","PeriodicalId":16366,"journal":{"name":"Journal of Molecular Evolution","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Molecular Evolution","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s00239-024-10204-w","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This literature review is to present a new direction in developing better treatment or preventive measures. The larger the body of an organism, the more numerous the cells, which theoretically lead to a higher risk of cancer. However, observational studies suggest the lack of correlation between body size and cancer risk, which is known as Peto’s paradox. The corollary of Peto’s paradox is that large organisms must be cancer-resistant. Further investigation of the anti-cancer mechanisms in each species could be potentially rewarding, and how the anti-cancer mechanisms found in wild animals can help influence and develop more effective cancer treatment in humans is the main focus of this literature review. Due to a lack of research and understanding of the exact molecular mechanisms of the researched species, only a few (Elephants and rodents) that have been extensively researched have made substantive contributions to human oncology. A new research direction is to investigate the positively selective genes that are related to cancer resistance and see if homologous genes are presented in humans. Despite the great obstacle of applying anti-cancer mechanisms to the human body from phylogenetically distant species, this research direction of gaining insights through investigating cancer-resisting evolutionary adaptations in wild animals has great potential in human oncology research.
期刊介绍:
Journal of Molecular Evolution covers experimental, computational, and theoretical work aimed at deciphering features of molecular evolution and the processes bearing on these features, from the initial formation of macromolecular systems through their evolution at the molecular level, the co-evolution of their functions in cellular and organismal systems, and their influence on organismal adaptation, speciation, and ecology. Topics addressed include the evolution of informational macromolecules and their relation to more complex levels of biological organization, including populations and taxa, as well as the molecular basis for the evolution of ecological interactions of species and the use of molecular data to infer fundamental processes in evolutionary ecology. This coverage accommodates such subfields as new genome sequences, comparative structural and functional genomics, population genetics, the molecular evolution of development, the evolution of gene regulation and gene interaction networks, and in vitro evolution of DNA and RNA, molecular evolutionary ecology, and the development of methods and theory that enable molecular evolutionary inference, including but not limited to, phylogenetic methods.