肿瘤微环境
胰腺癌
癌症研究
基质
生物
癌相关成纤维细胞
腺癌
转录组
癌症
肿瘤进展
基因表达
基因
免疫组织化学
免疫学
肿瘤细胞
遗传学
作者
Kai Chen,Qi Wang,Mingzhe Li,Huahu Guo,Weikang Liu,Feng Wang,Xiaodong Tian,Yinmo Yang
出处
期刊:EBioMedicine
[Elsevier]
日期:2021-04-01
卷期号:66: 103315-103315
被引量:131
标识
DOI:10.1016/j.ebiom.2021.103315
摘要
BackgroundPancreatic ductal adenocarcinoma (PDAC) is most aggressive among all gastrointestinal tumors. The complex intra-tumor heterogeneity and special tumor microenvironment in PDAC bring great challenges for developing effective treatment strategies. We aimed to delineate dynamic changes of tumor microenvironment components during PDAC malignant progression utilizing single-cell RNA sequencing.MethodsA total of 11 samples (4 PDAC I, 4 PDAC II, 3 PDAC III) were used to construct expression matrix. After identifying distinct cell clusters, subcluster analysis for each cluster was performed. New cancer associated fibroblasts (CAFs) subset was validated by weighted gene co-expression network analysis, RNA in situ hybridization and immunofluorescence.FindingsWe found that ductal cells were not dominant component while tumor infiltrating immune cells and pancreatic stellate cells gradually accumulated during tumor development. We defined several new Treg and exhausted T cell signature genes, including DUSP4, FANK1 and LAIR2. The analysis of TCGA datasets showed that patients with high expression of DUSP4 had significantly worse prognosis. In addition, we identified a new CAFs subset (complement-secreting CAFs, csCAFs), which specifically expresses complement system components, and constructed csCAFs-related module by weighted gene co-expression network analysis. The csCAFs were located in the tissue stroma adjacent to malignant ductal cells only in early PDAC.InterpretationWe systematically explored PDAC heterogeneity and identified csCAFs as a new CAFs subset special to PDAC, which may be valuable for understanding the crosstalk inside tumor.FundingThis study was supported by The Natural Science Foundation of China (NO.81572339, 81672353, 81871954) and the Youth Clinical Research Project of Peking University First Hospital (2018CR28).
科研通智能强力驱动
Strongly Powered by AbleSci AI