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对一种工程化胰腺癌类器官模型的分析表明,缺氧是决定转录亚型的一个促成因素。

Analysis of an engineered organoid model of pancreatic cancer identifies hypoxia as a contributing factor in determining transcriptional subtypes.

作者信息

Landon-Brace Natalie, Latour Simon, Innes Brendan T, Nurse Michelle, Cadavid Jose L, Co Ileana L, Tan Cassidy M, Nowlan Ferris, Drissler Sibil, Notta Faiyaz, Jackson Hartland Warren, Bader Gary D, McGuigan Alison P

机构信息

Institute of Biomedical Engineering, University of Toronto, Toronto, Canada.

Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Canada.

出版信息

Sci Rep. 2025 Jul 2;15(1):23610. doi: 10.1038/s41598-025-98344-x.

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a high-mortality cancer characterized by its aggressive, treatment-resistant phenotype and a complex tumour microenvironment (TME) featuring significant hypoxia. Bulk transcriptomic analysis has identified the "classical" and "basal-like" transcriptional subtypes which have prognostic value; however, it is not well-established how microenvironmental heterogeneity contributes to these transcriptional signatures. Here, we exploited the TRACER platform to perform single cell transcriptome analysis of organoids at specific spatial locations to explore the effect of oxygen and other cell-generated microenvironmental gradients on organoid heterogeneity. We found that the microenvironmental gradients present in TRACER significantly impact the distribution of organoid transcriptional phenotypes and the enrichment of gene sets linked to cancer progression and treatment resistance. More significantly, we found that microenvironmental gradients, predominantly oxygen, drive changes in the expression of classical and basal-like transcriptional subtype gene signatures. This work suggests that hypoxia contributes to determining transcriptional subtypes in PDAC tumour cells independent of additional cells in the TME and broadly highlights the importance of considering microenvironmental gradients such as oxygen in organoid-based studies.

摘要

胰腺导管腺癌(PDAC)是一种高死亡率的癌症,其特征在于具有侵袭性、抗治疗的表型以及以严重缺氧为特征的复杂肿瘤微环境(TME)。批量转录组分析已确定了具有预后价值的“经典”和“基底样”转录亚型;然而,微环境异质性如何促成这些转录特征尚不清楚。在此,我们利用TRACER平台对特定空间位置的类器官进行单细胞转录组分析,以探索氧气和其他细胞产生的微环境梯度对类器官异质性的影响。我们发现,TRACER中存在的微环境梯度显著影响类器官转录表型的分布以及与癌症进展和治疗抗性相关的基因集的富集。更重要的是,我们发现微环境梯度,主要是氧气,驱动经典和基底样转录亚型基因特征表达的变化。这项工作表明,缺氧有助于在独立于TME中其他细胞的情况下确定PDAC肿瘤细胞中的转录亚型,并广泛强调了在基于类器官的研究中考虑氧气等微环境梯度的重要性。

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