[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-361674-105":59,"doc-detail-361674-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","heterogeneity-in-cancer","Heterogeneity in Cancer","","Cancer heterogeneity is a central obstacle in oncology, affecting diagnosis, risk prediction, and therapy selection. Variability emerges across multiple layers, from genetic, epigenetic, and transcriptomic differences to changes in the tumor microenvironment and host biology. Heterogeneity is present between patients, within individual metastases, and inside single lesions, contributing to divergent outcomes even among histopathologically similar tumors. The review evaluates clinical consequences and highlights how molecular profiling, including next-generation sequencing, single-cell transcriptomics, liquid biopsy, and artificial intelligence, can support personalized, combination regimens to address resistance and recurrence.",{"@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":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/heterogeneity-in-cancer/361674/",{"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/heterogeneity-in-cancer/361674.png","ImageObject",300,407,{"name":92,"@type":93},"Logic","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-31","2026-09-23",true,{"@type":102,"interactionType":103,"userInteractionCount":34},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What does cancer heterogeneity mean across different levels?","Question",{"text":112,"@type":113},"Cancer heterogeneity refers to variability at several layers: genetic and non-genetic differences within tumors, distinct characteristics between tumors in the same patient, and different therapeutic and clinical responses among patients.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Why is cancer heterogeneity difficult for diagnosis and treatment planning?",{"text":117,"@type":113},"Because heterogeneous biology leads to differential treatment outcomes even when cancers appear histopathologically similar, it complicates diagnosis, prognostication, and selection of effective therapy.",{"name":119,"@type":110,"acceptedAnswer":120},"How do emerging technologies help address cancer heterogeneity?",{"text":121,"@type":113},"Molecular diagnostic and analytical approaches—such as next-generation sequencing, single-cell transcriptomics, liquid biopsy, and artificial intelligence—can reveal multidimensional complexity and enable combination therapy strategies aimed at lasting or curative outcomes.","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},361674,1790474848,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":34,"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":145},1099513958762,"https://ap-avatar.wpscdn.com/avatar/1000023916a998db790?x-image-process=image/resize,m_fixed,w_180,h_180&k=1784791008015729253","Review  \nHeterogeneity in Cancer  \nWilliam J. MacDonald 1,2,3, Connor Purcell 1,2,3, Maximilian Pinho-Schwermann 1,2,3, Nolan M. Stubbs 1,3,4, Praveen R. Srinivasan 1,2,3 and Wafik S. El-Deiry 1,2,3,5,6, *  \nAcademic Editor: Günther  \nH.S. Richter  \nReceived: 19 December 2024  \nRevised: 21 January 2025  \nAccepted: 23 January 2025  \nPublished: 28 January 2025  \nCitation: MacDonald, W.J.; Purcell, C.; Pinho-Schwermann, M.; Stubbs, N.M.; Srinivasan, P.R.; El-Deiry, W.S.  \nHeterogeneity in Cancer. Cancers 2025, 17, 441. [https://doi.org/10.3390/](https://doi.org/10.3390/)[ ](https://doi.org/10.3390/)cancers17030441  \nCopyright: © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ([https://creativecommons.org/](https://creativecommons.org/)[ ](https://creativecommons.org/)[licenses/by/4.0/](licenses/by/4.0/)) .  \n1 Laboratory of Translational Oncology and Experimental Cancer Therapeutics, The Warren Alpert Medical School, Brown University, Providence, RI 02903, USA; [william_macdonald@alumni.brown.edu](william_macdonald@alumni.brown.edu) (W.J.M.); [maximilian_pinho-schwermann@brown.edu](maximilian_pinho-schwermann@brown.edu) (M.P.-S.); [nstubbs@msm.edu](nstubbs@msm.edu) (N.M.S.)  \n2 Department of Pathology and Laboratory Medicine, The Warren Alpert Medical School, Brown University, Providence, RI 02903, USA  \n3 Legorreta Cancer Center at Brown University, The Warren Alpert Medical School, Brown University, Providence, RI 02903, USA  \n4 Morehouse School of Medicine, Atlanta, GA 30310, USA  \n5 The Joint Program in Cancer Biology, Brown University and Brown University Health, Providence, RI 02903, USA  \n6 Hematology-Oncology Division, Department of Medicine, Rhode Island Hospital, Brown University, Providence, RI 02903, USA  \n* [Correspondence: wafik@brown.edu](Correspondence: wafik@brown.edu)  \nSimple Summary: Cancer is characterized by variability at several levels. Individual cells within a tumor exhibit genetic and non-genetic differences, tumors within a patient exhibit different characteristics, and patients themselves have different responses to therapeuticsand clinical outcomes. The heterogeneous nature of cancer complicates the ability to predict patient outcomes and the delivery of curative treatment. The present study explores the ways in which the molecular heterogeneity of cancer impacts clinical outcomes, with a unique focus on how emerging technologies may be leveraged to improve patient care.  \nAbstract: Cancer heterogeneity is a major challenge in oncology, complicating diagnosis, prognostication, and treatment. The clinical heterogeneity of cancer, which leads to differential treatment outcomes between patients with histopathologically similar cancers, is attributable to molecular diversity manifesting through genetic, epigenetic, transcriptomic, microenvironmental, and host biology differences. Heterogeneity is observed between patients, individual metastases, and within individual lesions. This review discusses clinical implications of heterogeneity, emphasizing need for personalized approaches to overcome challenges posed by cancer’s diverse presentations. Understanding of emerging molecular diagnostic and analytical techniques can provide a view into the multidimensional complexity of cancer heterogeneity. With over 90% of cancer-related deaths associated with metastasis, we additionally explore the role heterogeneity plays in treatment resistance and recurrence of metastatic lesions. Molecular insights from next-generation sequencing, single-cell transcriptomics, liquid biopsy technology, and artificial intelligence will facilitate the development of combination therapy regimens that can potentially induce lasting and even curative treatment outcomes.  \nKeywords: drug resistance; cancer heterogeneity; epigenetics  \n1. Introduction  \nCancer, a complex and multifaceted disease","cbCaiuMPcn2iyHAC","https://ap.wps.com/l/cbCaiuMPcn2iyHAC","pdf",1130683,28,"English","# Introduction\n## Layers of heterogeneity in cancer\n## Interpatient heterogeneity\n## Intratumoral heterogeneity\n## Intertumoral heterogeneity","[{\"question\":\"What does cancer heterogeneity mean across different levels?\",\"answer\":\"Cancer heterogeneity refers to variability at several layers: genetic and non-genetic differences within tumors, distinct characteristics between tumors in the same patient, and different therapeutic and clinical responses among patients.\"},{\"question\":\"Why is cancer heterogeneity difficult for diagnosis and treatment planning?\",\"answer\":\"Because heterogeneous biology leads to differential treatment outcomes even when cancers appear histopathologically similar, it complicates diagnosis, prognostication, and selection of effective therapy.\"},{\"question\":\"How do emerging technologies help address cancer heterogeneity?\",\"answer\":\"Molecular diagnostic and analytical approaches—such as next-generation sequencing, single-cell transcriptomics, liquid biopsy, and artificial intelligence—can reveal multidimensional complexity and enable combination therapy strategies aimed at lasting or curative outcomes.\"}]","Heterogeneity in Cancer | PDF",1790145244,71]