Yueze Liu, Yifan Fu, Tao Liu, Jun Wang, Zeyu Zhang, Yanan Shi, Zhe Cao, Gang Yang, Hao Chen, Wenhao Luo, Jinxin Tao, Yuanyang Wang, Guihu Weng, Menggang Zhang, Liyuan Ye, Jianchun Xiao, Jiangdong Qiu, Taiping Zhang, Hua Huang
{"title":"SPP1<sup>+</sup> Venous Endothelial Cells and CRABP2<sup>+</sup> Tumor Cells Contribute to Favorable Body and Tail Pancreatic Ductal Adenocarcinoma Tumor Microenvironment.","authors":"Yueze Liu, Yifan Fu, Tao Liu, Jun Wang, Zeyu Zhang, Yanan Shi, Zhe Cao, Gang Yang, Hao Chen, Wenhao Luo, Jinxin Tao, Yuanyang Wang, Guihu Weng, Menggang Zhang, Liyuan Ye, Jianchun Xiao, Jiangdong Qiu, Taiping Zhang, Hua Huang","doi":"10.1002/mc.23936","DOIUrl":null,"url":null,"abstract":"<p><p>Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy; however, no validated treatments are currently available. Clinically, the tumor position, head and uncinate process (HU), or body and tail (BT) of the pancreas are vital for surgical strategies; however, fundamental research has seldom revealed the heterogeneous tumor microenvironment (TME) among different types of PDAC. Here, we applied multicohort single-cell and spatial RNA-seq methods together with patient-derived organoid models to reveal the TME heterogeneity between HU and BT PDAC. Osteopontin, encoded by SPP1, is secreted by vessel endothelial cells in BT PDAC and is associated with increased tumor burden. The number of tumor cells marked by CRABP2 was lower in BT PDAC and was identified as a prognostic marker of overall survival, as well as CD8<sup>+</sup> T-cell infiltration. The expression of CRABP2 was also validated to be downregulated in BT PDAC in patient-derived organoid models. Overall, we profiled the heterogeneous PDAC TME between HU and BT PDAC, which could provide novel insight into the relationships between clinical characteristics and TME molecular research.</p>","PeriodicalId":19003,"journal":{"name":"Molecular Carcinogenesis","volume":" ","pages":"1377-1391"},"PeriodicalIF":3.0000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Carcinogenesis","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/mc.23936","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/6/11 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy; however, no validated treatments are currently available. Clinically, the tumor position, head and uncinate process (HU), or body and tail (BT) of the pancreas are vital for surgical strategies; however, fundamental research has seldom revealed the heterogeneous tumor microenvironment (TME) among different types of PDAC. Here, we applied multicohort single-cell and spatial RNA-seq methods together with patient-derived organoid models to reveal the TME heterogeneity between HU and BT PDAC. Osteopontin, encoded by SPP1, is secreted by vessel endothelial cells in BT PDAC and is associated with increased tumor burden. The number of tumor cells marked by CRABP2 was lower in BT PDAC and was identified as a prognostic marker of overall survival, as well as CD8+ T-cell infiltration. The expression of CRABP2 was also validated to be downregulated in BT PDAC in patient-derived organoid models. Overall, we profiled the heterogeneous PDAC TME between HU and BT PDAC, which could provide novel insight into the relationships between clinical characteristics and TME molecular research.
期刊介绍:
Molecular Carcinogenesis publishes articles describing discoveries in basic and clinical science of the mechanisms involved in chemical-, environmental-, physical (e.g., radiation, trauma)-, infection and inflammation-associated cancer development, basic mechanisms of cancer prevention and therapy, the function of oncogenes and tumors suppressors, and the role of biomarkers for cancer risk prediction, molecular diagnosis and prognosis.