{"title":"单细胞测序技术在肾癌:洞察肿瘤生物学和临床应用。","authors":"Hanzhong Zhang, Ying Liu, Wenqiang Liu, Anqi Lin, Yu Fang, Le Qu, Xu Zhang, Peng Luo, Linhui Wang, Aimin Jiang","doi":"10.1186/s40364-025-00811-0","DOIUrl":null,"url":null,"abstract":"<p><p>Renal cancer, particularly clear cell renal cell carcinoma (ccRCC), is characterized by significant intratumoral heterogeneity, which poses challenges for diagnosis and treatment. Single-cell sequencing (SCS) provides unprecedented insights into the cellular landscape of renal cancer, allowing for detailed characterization of tumor heterogeneity at the single-cell level. This review highlights how SCS has been instrumental in elucidating the origins of different renal cancer subtypes, understanding mechanisms of tumor initiation and progression, and dissecting the complex tumor microenvironment (TME). It discusses the identification of novel biomarkers and therapeutic targets, as well as the potential of SCS to inform personalized treatment strategies. The review also explores the integration of SCS with spatial omics technologies, which enhances the understanding of cellular interactions within their spatial context. Moreover, it addresses the challenges and future directions in applying SCS to clinical practice, emphasizing its significance in advancing renal cancer biology and improving clinical interventions.</p>","PeriodicalId":54225,"journal":{"name":"Biomarker Research","volume":"13 1","pages":"121"},"PeriodicalIF":11.5000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12486790/pdf/","citationCount":"0","resultStr":"{\"title\":\"Single-cell sequencing technology in renal cancer: insights into tumor biology and clinical application.\",\"authors\":\"Hanzhong Zhang, Ying Liu, Wenqiang Liu, Anqi Lin, Yu Fang, Le Qu, Xu Zhang, Peng Luo, Linhui Wang, Aimin Jiang\",\"doi\":\"10.1186/s40364-025-00811-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Renal cancer, particularly clear cell renal cell carcinoma (ccRCC), is characterized by significant intratumoral heterogeneity, which poses challenges for diagnosis and treatment. Single-cell sequencing (SCS) provides unprecedented insights into the cellular landscape of renal cancer, allowing for detailed characterization of tumor heterogeneity at the single-cell level. This review highlights how SCS has been instrumental in elucidating the origins of different renal cancer subtypes, understanding mechanisms of tumor initiation and progression, and dissecting the complex tumor microenvironment (TME). It discusses the identification of novel biomarkers and therapeutic targets, as well as the potential of SCS to inform personalized treatment strategies. The review also explores the integration of SCS with spatial omics technologies, which enhances the understanding of cellular interactions within their spatial context. Moreover, it addresses the challenges and future directions in applying SCS to clinical practice, emphasizing its significance in advancing renal cancer biology and improving clinical interventions.</p>\",\"PeriodicalId\":54225,\"journal\":{\"name\":\"Biomarker Research\",\"volume\":\"13 1\",\"pages\":\"121\"},\"PeriodicalIF\":11.5000,\"publicationDate\":\"2025-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12486790/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomarker Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s40364-025-00811-0\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomarker Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s40364-025-00811-0","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
Single-cell sequencing technology in renal cancer: insights into tumor biology and clinical application.
Renal cancer, particularly clear cell renal cell carcinoma (ccRCC), is characterized by significant intratumoral heterogeneity, which poses challenges for diagnosis and treatment. Single-cell sequencing (SCS) provides unprecedented insights into the cellular landscape of renal cancer, allowing for detailed characterization of tumor heterogeneity at the single-cell level. This review highlights how SCS has been instrumental in elucidating the origins of different renal cancer subtypes, understanding mechanisms of tumor initiation and progression, and dissecting the complex tumor microenvironment (TME). It discusses the identification of novel biomarkers and therapeutic targets, as well as the potential of SCS to inform personalized treatment strategies. The review also explores the integration of SCS with spatial omics technologies, which enhances the understanding of cellular interactions within their spatial context. Moreover, it addresses the challenges and future directions in applying SCS to clinical practice, emphasizing its significance in advancing renal cancer biology and improving clinical interventions.
Biomarker ResearchBiochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
15.80
自引率
1.80%
发文量
80
审稿时长
10 weeks
期刊介绍:
Biomarker Research, an open-access, peer-reviewed journal, covers all aspects of biomarker investigation. It seeks to publish original discoveries, novel concepts, commentaries, and reviews across various biomedical disciplines. The field of biomarker research has progressed significantly with the rise of personalized medicine and individual health. Biomarkers play a crucial role in drug discovery and development, as well as in disease diagnosis, treatment, prognosis, and prevention, particularly in the genome era.