Tao Zhou, Yanhong Wu, Shuai Li, Xinyao Qiu, Erdong Liu, Zhihua Xie, Xuebing Shi, Yani Zhang, Guosheng Ma, Wenbo Guo, Xiang Wang, Kaiting Wang, Xiaomeng Yao, Ji Hu, Siyun Shen, Shuai Yang, Xiaoqing Jiang, Jing Fu, Hongyang Wang, Jin Gu, Lei Chen
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引用次数: 0
Abstract
Gallbladder carcinoma (GBC) is the most aggressive biliary tract cancer and is associated with a high mortality rate. Treatment of GBC faces therapeutic challenges owing to the elusive nature of in situ drivers within the local tumor microenvironment that drive its progression. Here, we created a single-cell atlas of 1,117,245 cells and a mutational landscape from 102 patients, which unveiled spatial–temporal characterizations of cellular constitutions, spatial interplays and molecular functions, and generalized five local ecosystems stratifying clinical outcomes. An integrated epithelial program, AI-EPI, combined with spatial transcriptome analysis, revealed the concurrent localization of a highly malignant tumor subtype (GM16) and AREG+ T cell, B cell, dendritic cell and macrophage subtypes within the pro-metastatic niche of primary adenocarcinomas. In vitro and in vivo experiments suggest that in addition to promoting metastasis, AREG facilitates CXCL5 expression in tumor cells through EGFR–pERK–EGR1 signaling, leading to increased neutrophil infiltration and impeding the effectiveness of immunotherapy. Our study provides a spatial–temporal landscape of the GBC microenvironment and sheds light on potential strategies for preventing immunotherapy resistance.
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