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Published on: October 6, 2014
Spatial Transcriptomics Profiling of Small Intestine Adenocarcinoma and Adenoma in Humans and a Murine Model with
Tyler D Seckar1, Elena V Komissarova1, Jing Sun1
1Department of Pathology, George Washington University School of Medicine and Health Sciences, Washington, District of Columbia.
Abstract:
Small intestine adenocarcinomas (SIACs) in humans occur predominantly as extra-ampullary SIAC [SIAC/extra-ampullary duodenal adenocarcinoma (EDA)], demonstrate intestinal- or gastric-type differentiation, and arise from precursor adenomas. The aims of this study were to determine spatial transcriptomics of SIAC/EDA differentiation subtypes and driver molecular pathways in humans and novel mouse models. Spatial transcriptomics and immunohistochemistry were performed in human and murine SIAC/EDA and adenomas. Mice with Cdkn2a/p16 conditional knockout, KrasG12D expression, or both (p16KOKrasG12D) targeting leucine-rich repeat-containing G-protein coupled receptor 5 (LGR5) cell progenitors were generated, and histologic alterations were examined. Spatial transcriptomics identified differentiation signatures of intestinal and gastric-type SIAC/EDA and adenomas, their microenvironment, cell-cell signaling interactions driving neoplasia progression, and susceptibility to targeted therapies. Activated signaling pathways were not specific to differentiation subtype. Algorithm-inferred susceptibility to mitogen-activated protein kinase kinase (MEK) inhibitors correlated with activation of MEK pathways in gastric-type SIAC. p16KOKrasG12D mice developed small intestine/duodenal adenomas by 11 to 15 months (10/14, 83%), and adenocarcinomas by 12 to 19 months, in contrast to wild-type mice (P = 0.0003). Spatial transcriptomics of mouse lesions largely replicated human SIAC/EDA differentiation signatures and signaling pathways. A novel genetically engineered mouse model that mimics gastric- and intestinal-type adenomas and gastric-type SIAC/EDA is reported. Spatial transcriptomics provided a detailed understanding of cellular differentiation lineages, cancer microenvironment related to SIAC subtypes, and driving pathways that may be leveraged to identify new molecular tools for pathologic diagnosis and potential targets for precision cancer therapies.
