Adriana Carneiro, Marta Aranda Palomer, Margarida Esteves, Carolina Rodrigues, José Maria Fernandes, Francisca Oliveira, Alexandra Teixeira, Carlos Honrado, Lorena Dieguez, Sara Abalde-Cela, Miguel Xavier
{"title":"基于单细胞的癌症研究的先进微流体。","authors":"Adriana Carneiro, Marta Aranda Palomer, Margarida Esteves, Carolina Rodrigues, José Maria Fernandes, Francisca Oliveira, Alexandra Teixeira, Carlos Honrado, Lorena Dieguez, Sara Abalde-Cela, Miguel Xavier","doi":"10.1002/advs.202500975","DOIUrl":null,"url":null,"abstract":"<p><p>Cancer remains one of the leading causes of mortality worldwide, accounting for ≈10 million deaths annually. Critically, it is metastasis and not the primary tumour that causes most of these deaths. Understanding the mechanisms behind cancer dissemination and therapy resistance is thus a pressing challenge. Traditional bulk tissue analyses have failed to capture the full spectrum of intra-tumour heterogeneity and the dynamic interactions within the tumour microenvironment. Studying cancer at the single-cell level allows unravelling the roles of rare subpopulations, cell-cell interactions, and spatial dynamics that govern tumour evolution, metastasis, and immune evasion. This review explores how recent advances in microfluidic technologies are transforming ability to model and study cancer at the single-cell level. Cutting-edge platforms are highlighted, including droplet microfluidics, single cell-derived spheroids, and tumour-chips, that enable physiologically relevant 3D cancer models. By integrating immune components, biosensing, and patient-derived materials, these platforms hold promise for advancing drug screening, immunotherapy assessment, and personalised medicine. It is concluded by identifying key challenges and priorities for future work, which should focus on increasing model complexity, reproducibility, and integration of spatiotemporal multiomics to better dissect tumour heterogeneity and accelerate clinical translation.</p>","PeriodicalId":117,"journal":{"name":"Advanced Science","volume":" ","pages":"e00975"},"PeriodicalIF":14.1000,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advanced Microfluidics for Single Cell-Based Cancer Research.\",\"authors\":\"Adriana Carneiro, Marta Aranda Palomer, Margarida Esteves, Carolina Rodrigues, José Maria Fernandes, Francisca Oliveira, Alexandra Teixeira, Carlos Honrado, Lorena Dieguez, Sara Abalde-Cela, Miguel Xavier\",\"doi\":\"10.1002/advs.202500975\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Cancer remains one of the leading causes of mortality worldwide, accounting for ≈10 million deaths annually. Critically, it is metastasis and not the primary tumour that causes most of these deaths. Understanding the mechanisms behind cancer dissemination and therapy resistance is thus a pressing challenge. Traditional bulk tissue analyses have failed to capture the full spectrum of intra-tumour heterogeneity and the dynamic interactions within the tumour microenvironment. Studying cancer at the single-cell level allows unravelling the roles of rare subpopulations, cell-cell interactions, and spatial dynamics that govern tumour evolution, metastasis, and immune evasion. This review explores how recent advances in microfluidic technologies are transforming ability to model and study cancer at the single-cell level. Cutting-edge platforms are highlighted, including droplet microfluidics, single cell-derived spheroids, and tumour-chips, that enable physiologically relevant 3D cancer models. By integrating immune components, biosensing, and patient-derived materials, these platforms hold promise for advancing drug screening, immunotherapy assessment, and personalised medicine. It is concluded by identifying key challenges and priorities for future work, which should focus on increasing model complexity, reproducibility, and integration of spatiotemporal multiomics to better dissect tumour heterogeneity and accelerate clinical translation.</p>\",\"PeriodicalId\":117,\"journal\":{\"name\":\"Advanced Science\",\"volume\":\" \",\"pages\":\"e00975\"},\"PeriodicalIF\":14.1000,\"publicationDate\":\"2025-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Science\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1002/advs.202500975\",\"RegionNum\":1,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Science","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/advs.202500975","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Advanced Microfluidics for Single Cell-Based Cancer Research.
Cancer remains one of the leading causes of mortality worldwide, accounting for ≈10 million deaths annually. Critically, it is metastasis and not the primary tumour that causes most of these deaths. Understanding the mechanisms behind cancer dissemination and therapy resistance is thus a pressing challenge. Traditional bulk tissue analyses have failed to capture the full spectrum of intra-tumour heterogeneity and the dynamic interactions within the tumour microenvironment. Studying cancer at the single-cell level allows unravelling the roles of rare subpopulations, cell-cell interactions, and spatial dynamics that govern tumour evolution, metastasis, and immune evasion. This review explores how recent advances in microfluidic technologies are transforming ability to model and study cancer at the single-cell level. Cutting-edge platforms are highlighted, including droplet microfluidics, single cell-derived spheroids, and tumour-chips, that enable physiologically relevant 3D cancer models. By integrating immune components, biosensing, and patient-derived materials, these platforms hold promise for advancing drug screening, immunotherapy assessment, and personalised medicine. It is concluded by identifying key challenges and priorities for future work, which should focus on increasing model complexity, reproducibility, and integration of spatiotemporal multiomics to better dissect tumour heterogeneity and accelerate clinical translation.
期刊介绍:
Advanced Science is a prestigious open access journal that focuses on interdisciplinary research in materials science, physics, chemistry, medical and life sciences, and engineering. The journal aims to promote cutting-edge research by employing a rigorous and impartial review process. It is committed to presenting research articles with the highest quality production standards, ensuring maximum accessibility of top scientific findings. With its vibrant and innovative publication platform, Advanced Science seeks to revolutionize the dissemination and organization of scientific knowledge.