Tumor neoantigens shape the immune microenvironment of panNETs: An in silico analysis

#3440

Introduction: The neoantigen landscape of panNETs has never been characterized.

Aim(s): To explore the neoantigen landscape and immune microenvironment of 29 samples of panNETs already subjected to whole-genome sequencing and matched RNAseq (International Cancer Genome Consortium).

Materials and methods: Optitype and HLAscan were used to predict the class I and II HLA aplotype respectively. The binding affinity between all putative 8-12-mers neoantigens and the HLA was then assessed using NetMHCpan. Candidate neoepitopes were assumed as highly immunogenic when their predicted IC50 to HLA was <50 nM. Neoepitopes possibly undergoing central tolerance and variants showing a non-sense-mediated decay <0.80 following RNAseq analysis were filtered out. RNAseq data were then deconvoluted through the CIBERSORT computational platform to reveal the composition of the tumor microenvironment.

Conference:

Presenting Author: Cives M

Authors: Pezzicoli G, Vegliante M, Mandriani B, Pellè E, Ciavarella S,

Keywords: neoantigens, panNET, immune microenvironment,