five

Spatial Transcriptomic Analysis Of Primary And Metastatic Pancreatic Cancers Highlights Tumor Microenvironmental Heterogeneity

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE272362
下载链接
链接失效反馈
官方服务:
资源简介:
Although the spatial, cellular, and molecular landscapes of resected pancreatic ductal adenocarcinoma (PDAC) are well documented, the characteristics of its metastatic ecology remain elusive. By applying spatially resolved transcriptomics to matched primary and metastatic PDAC samples, we discovered a conserved continuum of fibrotic, metabolic, and immunosuppressive spatial ecotypes across anatomical regions. We observed spatial tumor microenvironment heterogeneity spanning beyond previously appreciated in PDAC. Through comparative analysis, we show the spatial ecotypes exhibit distinct enrichment between primary and metastatic sites, implying adaptability to the local environment for survival and progression. The invasive border ecotype exhibits both protumorigenic and antitumorigenic cell-type enrichment, suggesting a potential immunotherapy target. The ecotype heterogeneity across patients emphasizes the rationale to map individual patient landscapes to develop personalized treatment strategies. Collectively, our findings provide critical insights into metastatic PDAC biology and serve a valuable resource for future therapeutic exploration and molecular investigations. An atlas of Spatial Transcriptomics from a unique cohort of 30 specimens: 10 primary PDAC tumors (PTs), 3 normal pancreata (NPs), 12 matched hepatic metastases (HMs), 5 matched lymph node metastases (LNMs), along with adjacent normal liver and lymph node tissues, totaling 91,496 spot transcriptomes.
创建时间:
2024-09-30
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作