Literature DB >> 31273297

Single-cell RNA-seq highlights intra-tumoral heterogeneity and malignant progression in pancreatic ductal adenocarcinoma.

Junya Peng1, Bao-Fa Sun2,3,4, Chuan-Yuan Chen2,3, Jia-Yi Zhou2,3, Yu-Sheng Chen2,3, Hao Chen5, Lulu Liu1, Dan Huang1, Jialin Jiang5, Guan-Shen Cui2,3, Ying Yang2,3,4, Wenze Wang6, Dan Guo1,7, Menghua Dai5, Junchao Guo5, Taiping Zhang5, Quan Liao5, Yi Liu8, Yong-Liang Zhao2,3,4, Da-Li Han2,3,4, Yupei Zhao9,10, Yun-Gui Yang11,12,13, Wenming Wu14.   

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is the most common type of pancreatic cancer featured with high intra-tumoral heterogeneity and poor prognosis. To comprehensively delineate the PDAC intra-tumoral heterogeneity and the underlying mechanism for PDAC progression, we employed single-cell RNA-seq (scRNA-seq) to acquire the transcriptomic atlas of 57,530 individual pancreatic cells from primary PDAC tumors and control pancreases, and identified diverse malignant and stromal cell types, including two ductal subtypes with abnormal and malignant gene expression profiles respectively, in PDAC. We found that the heterogenous malignant subtype was composed of several subpopulations with differential proliferative and migratory potentials. Cell trajectory analysis revealed that components of multiple tumor-related pathways and transcription factors (TFs) were differentially expressed along PDAC progression. Furthermore, we found a subset of ductal cells with unique proliferative features were associated with an inactivation state in tumor-infiltrating T cells, providing novel markers for the prediction of antitumor immune response. Together, our findings provide a valuable resource for deciphering the intra-tumoral heterogeneity in PDAC and uncover a connection between tumor intrinsic transcriptional state and T cell activation, suggesting potential biomarkers for anticancer treatment such as targeted therapy and immunotherapy.

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Year:  2019        PMID: 31273297      PMCID: PMC6796938          DOI: 10.1038/s41422-019-0195-y

Source DB:  PubMed          Journal:  Cell Res        ISSN: 1001-0602            Impact factor:   25.617


  93 in total

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Journal:  Cell       Date:  2017-11-30       Impact factor: 41.582

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