Abstract Library

#3757 Subtype-specific landscape of splicing-associated neoantigens and mutations in pancreatic neuroendocrine tumors

Introduction: In pancreatic neuroendocrine tumors (PanNETs), there has recently been advancement in understanding the heterogeneity (metastases-like primary; MLP-1/2, intermediate, and insulinoma subtypes) and immunological landscapes. Immunotherapies provide modest therapeutic benefits to patients, which may be linked to low mutational neoantigen loads in PanNETs.

Conference:

Presenting Author: Sadanandam A

Authors: Sadanandam A, Lawlor R, Larkeryd A, Mahalingam A, Mafficini A,

Keywords: Pancreatic neuroendocrine tumor, isoform switching, subtype, mutation, neoantigens, splice variant, spliceosomal mutation, immunotherapy, immunosuppression,

#3184 Immune heterogeneity and cascade of changes in subtypes of pancreatic neuroendocrine tumors

Introduction: Previously, we published four molecular subtypes of pancreatic neuroendocrine tumors (PanNETs) - met-like primary (MLP)-1 and -2, intermediate and insulinoma- like with different clinical and molecular characteristics. While immunotherapy trials are on-going in PanNETs, the immune landscape of this disease is largely unknown.

Conference: 18th Annual ENETS Concerence (2021)

Presenting Author: Sadanandam A

Authors: Sadanandam A, Young K, Lawlor R, Ragulan C, Patil Y,

Keywords: pancreatic neuroendocrine tumor, immune microenvironment, viral-mimicry pathway, pancreatic cancer, computational methods, T cells, macrophages, immunotherapy, B cells, complement pathway, interferon signalling, STING pathway, hypoxia, necroptosis, tumor ,

#3183 Clinical stratification of pancreatic neuroendocrine tumors by systematically integrating multimodal and clinical data

Introduction: Non-functional pancreatic neuroendocrine tumors (PanNETs) are heterogeneous with at least two transcriptome subtypes with differential biology, immune mechanisms and prognosis. However, it is challenging to understand how multimodal data interact with clinical variables and contribute to the disease heterogeneity and phenotypes.

Conference: 18th Annual ENETS Concerence (2021)

Presenting Author: Sadanandam A

Authors: Sadanandam A, Lawlor R, Mafficini A, Luchini C, Nyamundanda G,

Keywords: pancreatic neuroendocrine tumor, multimodal data integration, multiomics, clinical data integration, machine learning, artificial intelligence, subtypes, pancreatic cancer, phenotypes, PhenMap, mutations, gene expression, microRNA,

#3007 An mRNA-based Classifier Identifies PanNETs with Different Clinicopathological Characteristics

Introduction: Pancreatic neuroendocrine tumors (PanNETs) are a heterogeneous group of neoplasms that varies from indolent to highly aggressive diseases. Previous studies have suggested alterations of ATRX/DAXX as biomarkers of dismal prognosis, yet inconclusive data (especially in the metastatic setting) prevent those biomarkers to be used as routine clinical tests.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author:

Authors: Vicentini C, Barbi S, Bersani S, Rusev B, Lawlor R,

Keywords: PanNET, gene expression profile, ATRX/DAXX mutations, patients’ stratification.,

#2963 Intrinsic Gene Programs in Metastasis-like Primary Subtype Is Associated with Early Metastatic Evolution in Pancreatic Neuroendocrine Tumours

Introduction: Three molecular subtypes of pancreatic neuroendocrine tumours (PanNETs) have been described: insulinoma-like, intermediate and metastasis-like primary (MLP). The Latter is a non-functional tumours with highly metastatic potential. A mouse model of PanNET showed that MLP subtype has two different pathways of progression including stem/progenitor and epithelial-to-mesenchymal transition. However, the evolution of metastasis in patients requires further studies.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author: Sadanandam A

Authors: Sadanandam A, Lawlor R, Nyamundanda G, Ragulan C, Scarpa A,

Keywords: Pancreatic neuroendocrine tumors, metastasis, metastatic evolution, early metastasis, recurrence, prognosis, Patient tumours, cause and effect relationship, computational modeling, molecular subtypes, stages, metastatic potential,