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单细胞和空间转录组分析鉴定与新辅助治疗相关的胰腺癌多细胞动力学特征。

Single-nucleus and spatial transcriptome profiling of pancreatic cancer identifies multicellular dynamics associated with neoadjuvant treatment.

机构信息

Center for Systems Biology and Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

Broad Institute of MIT and Harvard, Cambridge, MA, USA.

出版信息

Nat Genet. 2022 Aug;54(8):1178-1191. doi: 10.1038/s41588-022-01134-8. Epub 2022 Jul 28.

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal and treatment-refractory cancer. Molecular stratification in pancreatic cancer remains rudimentary and does not yet inform clinical management or therapeutic development. Here, we construct a high-resolution molecular landscape of the cellular subtypes and spatial communities that compose PDAC using single-nucleus RNA sequencing and whole-transcriptome digital spatial profiling (DSP) of 43 primary PDAC tumor specimens that either received neoadjuvant therapy or were treatment naive. We uncovered recurrent expression programs across malignant cells and fibroblasts, including a newly identified neural-like progenitor malignant cell program that was enriched after chemotherapy and radiotherapy and associated with poor prognosis in independent cohorts. Integrating spatial and cellular profiles revealed three multicellular communities with distinct contributions from malignant, fibroblast and immune subtypes: classical, squamoid-basaloid and treatment enriched. Our refined molecular and cellular taxonomy can provide a framework for stratification in clinical trials and serve as a roadmap for therapeutic targeting of specific cellular phenotypes and multicellular interactions.

摘要

胰腺导管腺癌 (PDAC) 是一种高度致命且治疗耐药的癌症。胰腺癌的分子分层仍然很基础,尚未为临床管理或治疗开发提供信息。在这里,我们使用单细胞 RNA 测序和 43 个原发性 PDAC 肿瘤标本的全转录组数字空间分析 (DSP) 构建了组成 PDAC 的细胞亚型和空间群落的高分辨率分子图谱,这些标本要么接受了新辅助治疗,要么是未经治疗的。我们在恶性细胞和成纤维细胞中发现了反复出现的表达程序,包括一个新鉴定的神经样祖细胞恶性细胞程序,该程序在化疗和放疗后富集,并与独立队列中的不良预后相关。整合空间和细胞图谱揭示了三个具有不同恶性、成纤维细胞和免疫亚型贡献的多细胞群落:经典型、鳞状基底样型和治疗富集型。我们改进的分子和细胞分类法可以为临床试验中的分层提供框架,并作为针对特定细胞表型和多细胞相互作用的治疗靶点的路线图。

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