{"title":"推出SMART 3D癌症模型","authors":"Sam Ernst, Olivier De Wever","doi":"10.1158/0008-5472.can-25-1050","DOIUrl":null,"url":null,"abstract":"The tumor microenvironment plays a crucial role in shaping the tumor phenotype, yet replicating its complexity in vitro remains challenging. Traditional two-dimensional culture models lack physiologic relevance, and three-dimensional models often fail to fully capture native extracellular matrix (ECM) composition and cellular heterogeneity. In this issue of Cancer Research, Buckenmeyer and colleagues bridged this gap by integrating decellularized porcine-derived small intestinal submucosa ECM into monocellular spheroids, resulting in the formation of “MatriSpheres” with in vivo–like cancer cell heterogeneity. Although small intestinal submucosa ECM proved to be beneficial, several routes remain unexplored, such as incorporating other cell types (immune cells and cancer-associated fibroblasts) or species-, organ- or pathology-specific ECM or leveraging patient-derived tumor material. Pursuing these avenues of investigation to further develop Self-Matrix-Assembly to Recapitulate a Tumor (SMART) three-dimensional models could provide a powerful tool for cancer research, drug discovery, and personalized medicine. See related article by Buckenmeyer et al., p. 1577","PeriodicalId":9441,"journal":{"name":"Cancer research","volume":"97 1","pages":""},"PeriodicalIF":12.5000,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Launching SMART 3D Cancer Models\",\"authors\":\"Sam Ernst, Olivier De Wever\",\"doi\":\"10.1158/0008-5472.can-25-1050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The tumor microenvironment plays a crucial role in shaping the tumor phenotype, yet replicating its complexity in vitro remains challenging. Traditional two-dimensional culture models lack physiologic relevance, and three-dimensional models often fail to fully capture native extracellular matrix (ECM) composition and cellular heterogeneity. In this issue of Cancer Research, Buckenmeyer and colleagues bridged this gap by integrating decellularized porcine-derived small intestinal submucosa ECM into monocellular spheroids, resulting in the formation of “MatriSpheres” with in vivo–like cancer cell heterogeneity. Although small intestinal submucosa ECM proved to be beneficial, several routes remain unexplored, such as incorporating other cell types (immune cells and cancer-associated fibroblasts) or species-, organ- or pathology-specific ECM or leveraging patient-derived tumor material. Pursuing these avenues of investigation to further develop Self-Matrix-Assembly to Recapitulate a Tumor (SMART) three-dimensional models could provide a powerful tool for cancer research, drug discovery, and personalized medicine. See related article by Buckenmeyer et al., p. 1577\",\"PeriodicalId\":9441,\"journal\":{\"name\":\"Cancer research\",\"volume\":\"97 1\",\"pages\":\"\"},\"PeriodicalIF\":12.5000,\"publicationDate\":\"2025-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1158/0008-5472.can-25-1050\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1158/0008-5472.can-25-1050","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
The tumor microenvironment plays a crucial role in shaping the tumor phenotype, yet replicating its complexity in vitro remains challenging. Traditional two-dimensional culture models lack physiologic relevance, and three-dimensional models often fail to fully capture native extracellular matrix (ECM) composition and cellular heterogeneity. In this issue of Cancer Research, Buckenmeyer and colleagues bridged this gap by integrating decellularized porcine-derived small intestinal submucosa ECM into monocellular spheroids, resulting in the formation of “MatriSpheres” with in vivo–like cancer cell heterogeneity. Although small intestinal submucosa ECM proved to be beneficial, several routes remain unexplored, such as incorporating other cell types (immune cells and cancer-associated fibroblasts) or species-, organ- or pathology-specific ECM or leveraging patient-derived tumor material. Pursuing these avenues of investigation to further develop Self-Matrix-Assembly to Recapitulate a Tumor (SMART) three-dimensional models could provide a powerful tool for cancer research, drug discovery, and personalized medicine. See related article by Buckenmeyer et al., p. 1577
期刊介绍:
Cancer Research, published by the American Association for Cancer Research (AACR), is a journal that focuses on impactful original studies, reviews, and opinion pieces relevant to the broad cancer research community. Manuscripts that present conceptual or technological advances leading to insights into cancer biology are particularly sought after. The journal also places emphasis on convergence science, which involves bridging multiple distinct areas of cancer research.
With primary subsections including Cancer Biology, Cancer Immunology, Cancer Metabolism and Molecular Mechanisms, Translational Cancer Biology, Cancer Landscapes, and Convergence Science, Cancer Research has a comprehensive scope. It is published twice a month and has one volume per year, with a print ISSN of 0008-5472 and an online ISSN of 1538-7445.
Cancer Research is abstracted and/or indexed in various databases and platforms, including BIOSIS Previews (R) Database, MEDLINE, Current Contents/Life Sciences, Current Contents/Clinical Medicine, Science Citation Index, Scopus, and Web of Science.