PT - JOURNAL ARTICLE AU - Kate Young AU - Rita T Lawlor AU - Chanthirika Ragulan AU - Yatish Patil AU - Andrea Mafficini AU - Samantha Bersani AU - Davide Antonello AU - David Mansfield AU - Sara Cingarlini AU - Luca Landoni AU - Antonio Pea AU - Claudio Luchini AU - Liliana Piredda AU - Nagarajan Kannan AU - Gift Nyamundanda AU - Daniel Morganstein AU - Ian Chau AU - Bertram Wiedenmann AU - Michele Milella AU - Alan Melcher AU - David Cunningham AU - Naureen Starling AU - Aldo Scarpa AU - Anguraj Sadanandam TI - Immune landscape, evolution, hypoxia-mediated viral mimicry pathways and therapeutic potential in molecular subtypes of pancreatic neuroendocrine tumours AID - 10.1136/gutjnl-2020-321016 DP - 2021 Oct 01 TA - Gut PG - 1904--1913 VI - 70 IP - 10 4099 - http://gut.bmj.com/content/70/10/1904.short 4100 - http://gut.bmj.com/content/70/10/1904.full SO - Gut2021 Oct 01; 70 AB - Objective A comprehensive analysis of the immune landscape of pancreatic neuroendocrine tumours (PanNETs) was performed according to clinicopathological parameters and previously defined molecular subtypes to identify potential therapeutic vulnerabilities in this disease.Design Differential expression analysis of 600 immune-related genes was performed on 207 PanNET samples, comprising a training cohort (n=72) and two validation cohorts (n=135) from multiple transcriptome profiling platforms. Different immune-related and subtype-related phenotypes, cell types and pathways were investigated using different in silico methods and were further validated using spatial multiplex immunofluorescence.Results The study identified an immune signature of 132 genes segregating PanNETs (n=207) according to four previously defined molecular subtypes: metastasis-like primary (MLP)-1 and MLP-2, insulinoma-like and intermediate. The MLP-1 subtype (26%–31% samples across three cohorts) was strongly associated with elevated levels of immune-related genes, poor prognosis and a cascade of tumour evolutionary events: larger hypoxic and necroptotic tumours leading to increased damage-associated molecular patterns (viral mimicry), stimulator of interferon gene pathway, T cell-inflamed genes, immune checkpoint targets, and T cell-mediated and M1 macrophage-mediated immune escape mechanisms. Multiplex spatial profiling validated significantly increased macrophages in the MLP-1 subtype.Conclusion This study provides novel data on the immune microenvironment of PanNETs and identifies MLP-1 subtype as an immune-high phenotype featuring a broad and robust activation of immune-related genes. This study, with further refinement, paves the way for future precision immunotherapy studies in PanNETs to potentially select a subset of MLP-1 patients who may be more likely to respond.All data relevant to the study are included in the article or uploaded as supplementary information. Data are available in GEO Omnibus (GEO Omnibus with IDs GSE73338 and GSE73339): (1) the data include transcriptome profiles from patient samples; (2) GEO Omnibus is the repository; and (3) there are no reuse conditions. We have included the information and GEO Omnibus IDs in the Materials and methods and supplemental information.