{"title":"Evolutionary ecology in tumor evolution: concept, application and innovation.","authors":"Can Liu, Wei-Wei Zhai, Xue-Mei Lu","doi":"10.16288/j.yczz.24-264","DOIUrl":null,"url":null,"abstract":"<p><p>Tumor itself is a complex microecosystem, with complex spatio-temporal dynamics and multi-dimensional interactions. Its unimaginable heterogeneity and evolvability have exceeded the cognition of traditional oncology medicine. How to systematically characterize the whole tumor cell ecosystem from the dynamics and interaction of material, energy and signal levels, in order to explore new cognition, new rules and new therapies for the occurrence and development of tumors, is a new proposition and goal of tumor ecology. In this review, we discuss the origin, occurrence and development of tumors from the perspective of evolutionary ecology. First, we discuss the application of some classical concepts of ecology with tumor evolution. Subsequently, through the integration of the frontier papers of tumor ecology, we highlight the importance of ecological interactions on the occurrence and development of tumors from multiple levels, such as between cancer cells, between cancer cells and other normal somatic cells, and the tumor ecosystem. Finally, we propose the concept of tumor cell ecosystem, discussed how to characterize the entire tumor ecosystem from the system theory and proposed possible innovative treatment directions.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 2","pages":"228-236"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"遗传","FirstCategoryId":"1091","ListUrlMain":"https://doi.org/10.16288/j.yczz.24-264","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Tumor itself is a complex microecosystem, with complex spatio-temporal dynamics and multi-dimensional interactions. Its unimaginable heterogeneity and evolvability have exceeded the cognition of traditional oncology medicine. How to systematically characterize the whole tumor cell ecosystem from the dynamics and interaction of material, energy and signal levels, in order to explore new cognition, new rules and new therapies for the occurrence and development of tumors, is a new proposition and goal of tumor ecology. In this review, we discuss the origin, occurrence and development of tumors from the perspective of evolutionary ecology. First, we discuss the application of some classical concepts of ecology with tumor evolution. Subsequently, through the integration of the frontier papers of tumor ecology, we highlight the importance of ecological interactions on the occurrence and development of tumors from multiple levels, such as between cancer cells, between cancer cells and other normal somatic cells, and the tumor ecosystem. Finally, we propose the concept of tumor cell ecosystem, discussed how to characterize the entire tumor ecosystem from the system theory and proposed possible innovative treatment directions.
期刊介绍:
Hereditas is a national academic journal sponsored by the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences and the Chinese Society of Genetics and published by Science Press. It is a Chinese core journal and a Chinese high-quality scientific journal. The journal mainly publishes innovative research papers in the fields of genetics, genomics, cell biology, developmental biology, biological evolution, genetic engineering and biotechnology; new technologies and new methods; monographs and reviews on hot issues in the discipline; academic debates and discussions; experience in genetics teaching; introductions to famous geneticists at home and abroad; genetic counseling; information on academic conferences at home and abroad, etc. Main columns: review, frontier focus, research report, technology and method, resources and platform, experimental operation guide, genetic resources, genetics teaching, scientific news, etc.