Justin Macchia

Background & Aims: Intraductal papillary mucinous neoplasms (IPMNs) are pancreatic cysts that represent one of the few radiologically identifiable precursors to pancreatic ductal adenocarcinoma (PDAC).Though the IPMN-bearing patient population represents a unique opportunity for early detection and interception, current guidelines provide insufficient accuracy in determining which patients should undergo resection versus surveillance, resulting in a sizable fraction of resected IPMNs only harboring low-grade dysplasia, suggesting that there may be overtreatment of this clinical entity. Methods: To investigate the transcriptional changes that occur during IPMN progression, we performed spatial transcriptomics using the Nanostring GeoMx on patient samples containing the entire spectrum of IPMN disease including low-grade dysplasia, high-grade dysplasia, and IPMN-derived carcinoma. Single cell RNA sequencing was performed on side branch and main duct IPMN biospecimens. Results: , markers that are enriched in PDAC. We validated and refined this high-risk gene signature by integrating our ST analysis with an external ST dataset containing a larger number of IPMN samples including non-tumor bearing IPMN (i.e. low-grade IPMN in isolation). We confirmed the presence of the KRT17+ population using immunofluorescence on a large cohort of patient tissues, revealing a widespread but patchy distribution of KRT17+ cells in histologically low-grade IPMN. Conclusions: Our study demonstrates that KRT17 marks a distinct transcriptional signature in a subpopulation of epithelial cells within histologically low-grade IPMN. This population of cells likely represents a transitional state of histologically low-grade epithelial cells undergoing progression to a higher grade of dysplasia and thus may represent a higher risk of progression to carcinoma.

Abstract Background: Pancreatic ductal adenocarcinoma (PDAC) is the fourth leading cause of cancer related death in the US. Unfortunately, recent clinical trials using immunotherapy targeting the highly immunosuppressive tumor microenvironment have showed disappointing results, as there is no method to predict which patients will respond to therapy. More recently, the development of single cell technology has allowed for in-depth profiling at the cellular level using small amounts of tissue, raising the potential to develop precision medicine tools at time of endoscopic fine needle biopsy. Results: We performed single-cell RNA sequencing (scRNAseq) on endoscopic fine needle biopsies from 10 PDAC tumors at time of diagnostic endoscopic biopsy or 6 surgically resected tissues. We also sequenced 3 adjacent or normal pancreas tissues. We captured 8,521 cells from 3 surgical normal adjacent samples and 46,244 cells from PDAC tumors. Mapping of putative interactions between ligands and receptors demonstrated upregulation of key signaling pathways, including Hedgehog, NOTCH, and chemokine signaling within myeloid, epithelial, T, and NK cells. Differential expression analysis in cytotoxic CD8 T cells of PDA patients revealed increased expression of genes involved in T cell activation (GZMB, GZMA), exhaustion (GZMK, EOMES) as well as immune checkpoint pathway upregulation when compared to cytotoxic T cells in adjacent normal pancreatic tissue. Among the most significantly increased genes in CD8 T cells of PDAC tumor was the immune checkpoint TIGIT. Upon further analysis of the CD8 T cells, we found TIGIT was almost exclusively expressed in exhausted CD8 T cells, while other checkpoints such as PD-1 and LAG3 were equally distributed across effector and exhausted T cell populations. Interestingly, we were able to capture patient-specific heterogeneity of gene expression in T cells, suggesting the possibility of individualized T cell gene signatures present in PDAC tumors. We used mass cytometry and immunostaining to validate our transcript-based findings. Conclusion: Overall, we have successfully performed robust in-depth profiling using single-cell sequencing of PDAC tumors from fine needle biopsies. TIGIT, but not other immune checkpoints, correlates with T cells exhaustion in tumors, revealing an important biological function of this relatively understudied checkpoint. Analysis of our results identified patient-specific heterogeneity of key signaling pathways in different cell compartments of PDAC tumors that have to potential to be leveraged for precision medicine. Citation Format: Nina Steele, Eileen Carpenter, Samantha Kemp, Veerin Sirihorachai, Stephanie The, Lawrence Delrosario, Jenny Lazarus, El-ad Amir, Valerie Gunchick, Carlos Espinoza, Samantha Bell, Lindsey Harris, Valerie Irizarry-Negron, Dan Paglia, Justin Macchia, Fatima Lima, Angel Ka Yan Chu, Heather Schofield, Erik Jan Wamsteker, Richard Kwon, Allison Schulman, Anoop Prabhu, Ryan law, Arjun Sondhi, Katelyn Donahue, Hari Nathan, Clifford Cho, Michelle Anderson, Vaibhav Sahai, Costas Lyssiotis, Benjamin Allen, Arvind Rao, Weiping Zou, Filip Bednar, Timothy Frankel, Marina Pasca di Magliano. Multimodal mapping of the immune landscape in human pancreatic cancer [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 3442.