Dynamic evolution of fibroblasts revealed by single cell RNA sequencing of human pancreatic cancer.

IF 2 Q3 ONCOLOGY Cancer research communications Pub Date : 2024-11-01 DOI:10.1158/2767-9764.CRC-23-0489
Slavica Dimitrieva, Jon M Harrison, Jonathan Chang, Michelle Piquet, Mari Mino-Kenudson, Millicent Gabriel, Vivek Sagar, Heiko Horn, Kasper Lage, Julie Kim, Gang Li, Shaobu Weng, Cynthia Harris, Anupriya S Kulkarni, David T Ting, Motaz Qadan, Peter J Fagenholz, Cristina R Ferrone, Angelo L Grauel, Tyler Laszewski, Alina Raza, Markus Riester, Tim Somerville, Joel P Wagner, Glenn Dranoff, Jeffrey A Engelman, Audrey Kauffmann, Rebecca Leary, Andrew L Warshaw, Keith D Lillemoe, Carlos Fernandez-Del Castillo, David A Ruddy, Andrew S Liss, Viviana Cremasco
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Abstract

Cancer progression and response to therapy are inextricably reliant on the co-evolution of a supportive tissue microenvironment. This is particularly evident in pancreatic ductal adenocarcinoma (PDAC), a tumor type characterized by expansive and heterogeneous stroma. Herein, we employed single cell RNAseq and spatial transcriptomics of normal, inflamed, and malignant pancreatic tissues to contextualize stromal dynamics associated with disease and treatment status, identifying temporal and spatial trajectories of fibroblast differentiation. Using analytical tools to infer cellular communication, together with a newly developed assay to annotate genomic alterations in cancer cells, we additionally explored the complex intercellular networks underlying tissue circuitry, highlighting a fibroblast-centric interactome that grows in strength and complexity in the context of malignant transformation. Our study yields new insights on the stromal remodeling events favoring the development of a tumor-supportive microenvironment and provides a powerful resource for the exploration of novel points of therapeutic intervention in PDAC.

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人类胰腺癌单细胞 RNA 测序揭示了成纤维细胞的动态演化。
癌症的发展和治疗反应与支持性组织微环境的共同演变密不可分。这一点在胰腺导管腺癌(PDAC)中表现得尤为明显,这种肿瘤类型的特点是基质具有扩张性和异质性。在这里,我们采用了正常、炎症和恶性胰腺组织的单细胞 RNAseq 和空间转录组学,以了解与疾病和治疗状态相关的基质动态,确定成纤维细胞分化的时间和空间轨迹。我们利用分析工具推断细胞通讯,并利用新开发的检测方法来注释癌细胞的基因组变化,此外,我们还探索了组织电路底层的复杂细胞间网络,突出了以成纤维细胞为中心的相互作用组,这种相互作用组在恶性转化的背景下强度和复杂性不断增加。我们的研究对有利于肿瘤支持性微环境发展的基质重塑事件有了新的认识,并为探索 PDAC 的新型治疗干预点提供了强大的资源。
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