Multi-omic factor analysis (MOFA) of well-differentiated neuroendocrine tumors (NETs) from different tumor sites

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Introduction: NENs are a heterogeneous family of tumors of wide anatomical distribution that share common clinical and biological traits. Although some studies have characterized the molecular landscape of specific primary locations, there is no cross-site molecular classification of NENs.

Aim(s): To improve our knowledge of the biological basis of NETs and their impact on clinical outcome, we performed a multiomic factor integrative analysis (MOFA) with data from NETs of multiple anatomic sites and assessed the clinical relevance of latent factors representing the principal axes of molecular heterogeneity.

Materials and methods: Transcriptomic and methylation data were obtained from FFPE tumor samples of 194 patients with G1-G3 NETs from GEP and lungorigins. Clariom S Human and EPIC methylation arrays were used to perform MOFA modelling, stratified by primary tumor site. We assessed the potential association of MOFA factors with different molecular and clinical data.

Conference:

Presenting Author: Carretero C

Authors: Carretero C, Antón-Pascual B, Lens-Pardo A, Benavent M, Gómez-Izquierdo L,

Keywords: NET, MOFA, multi-omics, clinical features, survival,