Pancreatectomy Induces Cancer-Promoting Neutrophil Extracellular Traps.

BACKGROUND: Neutrophil extracellular traps (NETs) occur when neutrophil chromatin is decondensed and extruded into the extracellular space in a web-like structure. Originally described as an anti-microbial function, this process has been implicated in the pathogenesis of pancreatic disease. In addition, NETs are upregulated during physiologic wound-healing and coagulation. This study evaluated how the inflammatory response to pancreatic surgery influences NET formation. METHODS: For this study, 126 patients undergoing pancreatectomy gave consent before participation. Plasma was collected at several time points (preoperatively and through the postoperative outpatient visit). Plasma levels of NET markers, including cell-free DNA (cfDNA), citrullinated histone H3 (CitH3), interleukin (IL)-8, IL-6, and granulocyte colony-stimulating factor (G-CSF) were measured using enzyme-linked immunosorbent assay (ELISA). Patient clinical data were retrospectively collected from a prospectively maintained database. RESULTS: After pancreatic resection, NET markers (cfDNA and CitH3) were elevated, peaking on postoperative days 3 and 4. This increase in NETs was due to an inherent change in neutrophil biology. Postoperatively, NET-inducing cytokines (IL-8, IL-6, and G-CSF) were increased, peaking early in the postoperative course. The patients undergoing the robotic approach had a reduction in NETs during the postoperative period compared with those who underwent the open approach. The patients who experienced a pancreatic leak had an increase in NET markers during the postoperative period. CONCLUSIONS: Pancreatectomy induces cancer-promoting NET formation. The minimally invasive robotic approach may induce fewer NETs, although the current analysis was limited by selection bias. Pancreatic leak resulted in increased NETs. Further study into the potential for NET inhibition during the perioperative period is warranted.

Analysis of single nuclear chromatin accessibility reveals unique myeloid populations in human pancreatic ductal adenocarcinoma.

BACKGROUND: A better understanding of the pancreatic ductal adenocarcinoma (PDAC) immune microenvironment is critical to developing new treatments and improving outcomes. Myeloid cells are of particular importance for PDAC progression; however, the presence of heterogenous subsets with different ontogeny and impact, along with some fluidity between them, (infiltrating monocytes vs. tissue-resident macrophages; M1 vs. M2) makes characterisation of myeloid populations challenging. Recent advances in single cell sequencing technology provide tools for characterisation of immune cell infiltrates, and open chromatin provides source and function data for myeloid cells to assist in more comprehensive characterisation. Thus, we explore single nuclear assay for transposase accessible chromatin (ATAC) sequencing (snATAC-Seq), a method to analyse open gene promoters and transcription factor binding, as an important means for discerning the myeloid composition in human PDAC tumours. METHODS: Frozen pancreatic tissues (benign or PDAC) were prepared for snATAC-Seq using 10× Chromium technology. Signac was used for preliminary analysis, clustering and differentially accessible chromatin region identification. The genes annotated in promoter regions were used for Gene Ontology (GO) enrichment and cell type annotation. Gene signatures were used for survival analysis with The Cancer Genome Atlas (TCGA)-pancreatic adenocarcinoma (PAAD) dataset. RESULTS: Myeloid cell transcription factor activities were higher in tumour than benign pancreatic samples, enabling us to further stratify tumour myeloid populations. Subcluster analysis revealed eight distinct myeloid populations. GO enrichment demonstrated unique functions for myeloid populations, including interleukin-1b signalling (recruited monocytes) and intracellular protein transport (dendritic cells). The identified gene signature for dendritic cells influenced survival (hazard ratio = .63, p = .03) in the TCGA-PAAD dataset, which was unique to PDAC. CONCLUSIONS: These data suggest snATAC-Seq as a method for analysis of frozen human pancreatic tissues to distinguish myeloid populations. An improved understanding of myeloid cell heterogeneity and function is important for developing new treatment targets in PDAC.