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Abstract PR-009: Proteotranscriptomic classification and characterization of pancreatic neuroendocrine neoplasms

Authors :
Daniel J. Renouf
Marco A. Marra
Sandra E. Spencer Miko
Ryan D. Morin
David F. Schaeffer
Karen Mungall
Jonathan M. Loree
Christopher Rushton
Andrew J. Mungall
Kevin C. Yang
Gregg B. Morin
Steve E. Kalloger
Michael Lee
Sharon M. Gorski
John J. Aird
Shane Colborne
Source :
Cancer Research. 80:PR-009
Publication Year :
2020
Publisher :
American Association for Cancer Research (AACR), 2020.

Abstract

Background Pancreatic neuroendocrine neoplasms (PNENs) are biologically and clinically heterogeneous neoplasms with variable patient outcomes. Our study aims to uncover the molecular factors that underlie the clinical and biological heterogeneity among PNENs for a better understanding and potential classification of this disease. Methods Formalin-fixed paraffin-embedded primary tumour specimens from 92 patients with PNEN were procured for the study and split into two cohorts for discovery and validation purposes. Next-generation sequencing profiled the exome and transcriptome, and quantitative mass-spectrometry profiled the global proteome of specimens. Non-negative matrix factorization was used to identify subgroups, followed by differential analysis to identify subgroup-specific features. To corroborate subgroup-specific RNA- and protein- level distinctions, activities of key cellular regulators were inferred from target gene expression or co-expression signatures. Results Unsupervised clustering analysis of transcriptome data identified four robust molecular subgroups that were substantiated by proteome analysis (p=0.0005) within the discovery cohort and validated with the validation cohort and an external cohort of PNENs from a previous microarray-based gene expression study. A proliferative subgroup was enriched with neuroendocrine carcinomas and specimens with >20% Ki67, concomitant with reduced survival probability (p=0.0024; logrank test) and higher mRNA expression and protein abundance of cell cycle-related genes. Increased mRNA expression of ARX or PDX1 (adjusted p Citation Format: Kevin C. Yang, Steve Kalloger, John Aird, Michael Lee, Christopher Rushton, Sandra E. Spencer Miko, Karen L. Mungall, Andrew J. Mungall, Shane Colborne, Ryan D. Morin, Jonathan M. Loree, Marco A. Marra, Daniel J. Renouf, Gregg B. Morin, David F. Schaeffer, Sharon M. Gorski. Proteotranscriptomic classification and characterization of pancreatic neuroendocrine neoplasms [abstract]. In: Proceedings of the AACR Virtual Special Conference on Pancreatic Cancer; 2020 Sep 29-30. Philadelphia (PA): AACR; Cancer Res 2020;80(22 Suppl):Abstract nr PR-009.

Details

ISSN :
15387445 and 00085472
Volume :
80
Database :
OpenAIRE
Journal :
Cancer Research
Accession number :
edsair.doi...........d0413c4bc6a6e0a86c9f5de2c220240e
Full Text :
https://doi.org/10.1158/1538-7445.panca20-pr-009