{"title":"Spatial mapping of primary and metastatic pancreatic tumor ecosystems","authors":"","doi":"10.1038/s41588-024-01915-3","DOIUrl":null,"url":null,"abstract":"This study presents a spatial transcriptomic analysis of matched primary tumors, liver metastases and lymph node metastases from patients with pancreatic ductal adenocarcinoma. Using a tumor ecosystem approach, we uncovered notable tumor microenvironmental heterogeneity and marked differences between primary and metastatic samples, providing key insights into metastatic pancreatic cancer.","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":"56 11","pages":"2306-2307"},"PeriodicalIF":31.7000,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature genetics","FirstCategoryId":"99","ListUrlMain":"https://www.nature.com/articles/s41588-024-01915-3","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
This study presents a spatial transcriptomic analysis of matched primary tumors, liver metastases and lymph node metastases from patients with pancreatic ductal adenocarcinoma. Using a tumor ecosystem approach, we uncovered notable tumor microenvironmental heterogeneity and marked differences between primary and metastatic samples, providing key insights into metastatic pancreatic cancer.
期刊介绍:
Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation.
Integrative genetic topics comprise, but are not limited to:
-Genes in the pathology of human disease
-Molecular analysis of simple and complex genetic traits
-Cancer genetics
-Agricultural genomics
-Developmental genetics
-Regulatory variation in gene expression
-Strategies and technologies for extracting function from genomic data
-Pharmacological genomics
-Genome evolution