[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-330570-105":59,"doc-detail-330570-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","modeling-tumors-as-species-rich-ecological-communities-read-online-free","Modeling tumors as species-rich ecological communities - read online free","","Advanced cancers frequently evade therapeutic intervention due to intra-tumor heterogeneity: multiple coexisting cell populations with distinct mutational and phenotypic profiles within tumors and metastatic nodes. Viewing cancer as an ecological system, the work emphasizes ecological interactions among cell “species” while noting that existing tumor-ecology models often fail to capture phenotypic diversity and its consequences. It introduces a Generalized Lotka-Volterra framework for heterogeneous tumor ecology, analyzing outgrowth and multistability, and outlining extensions for phenotypic plasticity, tumor-immune interplay, and metastatic resistance.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/modeling-tumors-as-species-rich-ecological-communities-read-online-free/330570/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/modeling-tumors-as-species-rich-ecological-communities-read-online-free/330570.png","ImageObject",300,407,{"name":92,"@type":93},"Aurora","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-23","2026-09-21",true,{"@type":102,"interactionType":103,"userInteractionCount":44},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Why is intra-tumor heterogeneity central to therapeutic resistance?","Question",{"text":112,"@type":113},"Multiple cell populations with different mutational and phenotypic signatures coexist within tumors and metastatic nodes. This ecological-and-evolutionary context shapes how new dynamics emerge after barriers are surpassed, affecting treatment outcomes.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What model framework is proposed to study heterogeneous tumors?",{"text":117,"@type":113},"The work proposes using the Generalized Lotka-Volterra (GLV) model, a standard framework for species-rich ecological communities, to describe the ecology of heterogeneous tumors.",{"name":119,"@type":110,"acceptedAnswer":120},"What key emerging properties does the GLV tumor model highlight?",{"text":121,"@type":113},"The model’s emerging properties such as outgrowth and multistability provide a new understanding of disease dynamics and transitions among cancerous states.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},330570,1790487830,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":44,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":36,"preview_page_count":4},4810365810221,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","bioRxiv preprint doi: [https://doi.org/10.1101/2024.04.22.590504](https://doi.org/10.1101/2024.04.22.590504); this version posted April 26, 2024. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is  \nmade available under aCC-BY-NC-ND 4.0 International license.  \nModeling tumors as species-rich ecological communities  \nGuim Aguad􀀓e-Gorgori􀀓o, 1, 􀀃 Alexander R.A. Anderson,2, y and Ricard Sol􀀓e3, 4, z  \n1 ISEM, Univ Montpellier, CNRS, IRD, Montpellier, France  \n2 Integrated Mathematical Oncology Department, H. Lee Mo􀀎tt Cancer Center & Research Institute, Tampa, USA  \n3 ICREA-Complex Systems Lab, UPF-PRBB, Dr. Aiguader 80, 08003 Barcelona, Spain  \n4 Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA  \n(Dated: April 22, 2024)  \nMany advanced cancers resist therapeutic intervention. This process is fundamentally related to intra-tumor heterogeneity: multiple cell populations, each with di􀀋erent mutational and phenotypic signatures, coexist within a tumor and its metastatic nodes. Like species in an ecosystem, many cancer cell populations are intertwined in a complex network of ecological interactions. Most mathematical models of tumor ecology, however, cannot account for such phenotypic diversity norare able to predict its consequences. Here we propose that the Generalized Lotka-Volterra model (GLV), a standard tool to describe complex, species-rich ecological communities, provides a suitable framework to describe the ecology of heterogeneous tumors. We develop a GLV model of tumor growth and discuss how its emerging properties, such as outgrowth and multistability, provide anew understanding of the disease. Additionally, we discuss potential extensions of the model and their application to three active areas of cancer research, namely phenotypic plasticity, the cancerimmune interplay and the resistance of metastatic tumors to treatment. Our work outlines a set of questions and a tentative road map for further research in cancer ecology.  \nContents  \nI. Introduction 1  \nII. The mathematics of heterogeneous tumors 3  \nA. The generalized Lotka-Volterra model of cancer growth 3  \nB. Coexistence, outgrowth and competitive release 7  \nC. Succession and shifts between multiple cancerous states 7  \nIII. Oncological extensions of the GLV model 8  \nA. High-dimensional phenotypic plasticity 8  \nB. Heterogeneity in cancer-immune interactions 8  \nC. Metastasis and metacommunity ecology 10  \nIV. Discussion and Open Questions 11  \nAcknowledgements 13  \nReferences 13  \nI. INTRODUCTION  \nOver the past few decades, a convergence of clinical, experimental, and theoretical cancer research has illuminated the intricate nature of cancer as an ecological, evolutionary, and developmental phenomenon [1{4] . This conceptual framework has provided oncologists with a well-established set of methods and tools from these disciplines, pushing forward our understanding of cancer, its origins and how to better treat it.  \nThe way cancer populations avoid di􀀋erent selection barriers (from physical constraints on the tissue level to immune-related attacks) can be understood as a combination of ecological and evolutionary processes. Much has been written about the latter: well-de􀀌ned evolutionary events usually punctuate the path towards a malignant tumor. However, the ways these events unfold in time are mediated by ecological change. Once a given barrier is surpassed, new ecological interactions are set in motion and population dynamics determines the outcome of the new context. Ecology is, therefore, at the heart of the many scales relevant to tumorigenesis and  \n􀀃 Corresponding author: [guimaguade@gmail.com](guimaguade@gmail.com)  \n[y](y Corresponding author: alexander.anderson@mo)[ Corresponding author:](y Corresponding author: alexander.anderson@mo)[ alexander.anderson@mo](y Corresponding author: alexander.anderson@mo)􀀎","cbCaioWmlHAITtaW","https://ap.wps.com/l/cbCaioWmlHAITtaW","pdf",7496249,16,"English","# Introduction\n## The mathematics of heterogeneous tumors\n### The generalized Lotka-Volterra model of cancer growth\n### Coexistence, outgrowth and competitive release\n### Succession and shifts between multiple cancerous states\n## Oncological extensions of the GLV model\n### High-dimensional phenotypic plasticity\n### Heterogeneity in cancer-immune interactions\n### Metastasis and metacommunity ecology\n# Discussion and Open Questions","[{\"question\":\"Why is intra-tumor heterogeneity central to therapeutic resistance?\",\"answer\":\"Multiple cell populations with different mutational and phenotypic signatures coexist within tumors and metastatic nodes. This ecological-and-evolutionary context shapes how new dynamics emerge after barriers are surpassed, affecting treatment outcomes.\"},{\"question\":\"What model framework is proposed to study heterogeneous tumors?\",\"answer\":\"The work proposes using the Generalized Lotka-Volterra (GLV) model, a standard framework for species-rich ecological communities, to describe the ecology of heterogeneous tumors.\"},{\"question\":\"What key emerging properties does the GLV tumor model highlight?\",\"answer\":\"The model’s emerging properties such as outgrowth and multistability provide a new understanding of disease dynamics and transitions among cancerous states.\"}]","Modeling tumors as species-rich ecological communities - read online free | PDF",1789989437]