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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.

Emerging evidence suggests that microRNA (miRNA) expression signatures in cancer may have important diagnostic, prognostic, and therapeutic value, but there is no data on miRNA expression in chordoma. The purpose of this study was to identify the role of miRNAs in human chordoma. We analyzed miRNA expression in chordoma-derived cell lines and chordoma tissue by using miRNA microarray technology with unsupervised hierarchical clustering analysis. The relative expression levels of these miRNAs were confirmed by real-time quantitative RT-PCR and Northern blot analysis. To characterize the potential role of miRNA-1, miRNA-1 was stably transfected into a chordoma cell line, UCH1. The expression of miRNA-1 targeted gene Met in chordoma tissues was also studied. We observe that human chordoma tissues and cell lines can be distinguished from normal muscle tissue by comparing miRNA expression profiles. Several miRNAs were differentially expressed in chordoma cell lines compared to controls, and similar expression patterns were found in primary chordoma tissues. Importantly, we were able to show for the first time, to our knowledge, that expression of miRNA-1 and miRNA-206, two miRNAs implicated in a number of other cancer types, were markedly decreased in both chordoma tissues and cell lines. When chordoma cell lines were transfected with miRNA-1, downregulation of known miRNA-1 targets was observed. These targets included Met and HDAC4-two genes that were observed to be overexpressed in chordoma. Our results demonstrate that some miRNAs are differentially expressed in chordoma and, in particular, miRNA-1 may have a functional effect on chordoma tumor pathogenesis.

The pace of biological investigation has been greatly accelerated by technologies that permit comprehensive inventory of gene expression under diverse conditions. We have been developing and using approaches to understand gene function that are based on functional assessments of gene activity, using automated expression cloning followed by gene knockdown using shRNA or by gene knockout. Some recent developments in expression screens and methods to expedite the formation of targeted mutations in mice are discussed. A resource for large scale quantitative profiling of mRNA abundance is also described.