Suna Erdem, Hyojae James Lee, Jayanth Surya Narayanan Shankara Narayanan, Mohottige Don Neranjan Tharuka, Jorge De la Torre, Tianchen Ren, Yixuan Kuang, Tharindumala Abeywardana, Kevin Li, Allison J Berger, Andrew M Lowy, Rebekah R White, Yuan Chen
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引用次数: 0
Abstract
Improvement of outcome in patients with pancreatic ductal adenocarcinoma (PDAC) requires exploration of novel therapeutic targets. Thus far, most studies of PDAC therapies, including those inhibiting small ubiquitin-like modifications (SUMOylation), have focused on PDAC epithelial cell biology, yet SUMOylation occurs in a variety of cell types. The mechanisms by which SUMOylation impacts PDAC in the context of its tumor microenvironment are poorly understood. We used clinically relevant orthotopic PDAC mouse models to investigate the effect of SUMOylation inhibition using a specific, clinical-stage compound, TAK-981. In contrast to its inhibition of PDAC cell proliferation in vitro, the survival benefit conferred by TAK-981 in vivo is dependent on the presence of T cells, suggesting that induction of adaptive antitumor immunity is an important antitumor effect of SUMOylation inhibition in vivo. To understand how this adaptive antitumor immunity is promoted, we investigated how SUMOylation inhibition in vivo alters major cell types/subtypes and their communications in the PDAC tumor microenvironment by performing transcriptomic analyses at single-cell resolution, which allowed mapping of cells in our orthotopic mouse model to cells in human PDAC tumors based on gene expression profiles. Findings are further validated by flow cytometry, immunofluorescence, IHC, western blots, and qPCR. The single-cell transcriptome dataset provided here suggests several combination strategies to augment adaptive immune responses that are necessary for durable disease control in patients with PDAC.
期刊介绍:
Molecular Cancer Therapeutics will focus on basic research that has implications for cancer therapeutics in the following areas: Experimental Cancer Therapeutics, Identification of Molecular Targets, Targets for Chemoprevention, New Models, Cancer Chemistry and Drug Discovery, Molecular and Cellular Pharmacology, Molecular Classification of Tumors, and Bioinformatics and Computational Molecular Biology. The journal provides a publication forum for these emerging disciplines that is focused specifically on cancer research. Papers are stringently reviewed and only those that report results of novel, timely, and significant research and meet high standards of scientific merit will be accepted for publication.