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The genomic landscape of 85 advanced neuroendocrine neoplasms reveals subtype-heterogeneity and potential therapeutic targets

Job van Riet, Harmen J.G. van de Werken, Edwin Cuppen, Ferry A.L.M. Eskens, Margot Tesselaar, Linde M. van Veenendaal, Heinz‐Josef Klümpen, M. Wouter Dercksen, Gerlof D. Valk, Martijn P. Lolkema, Stefan Sleijfer, Bianca Mostert

2021Nature Communications124 citationsDOIOpen Access PDF

Abstract

Metastatic and locally-advanced neuroendocrine neoplasms (aNEN) form clinically and genetically heterogeneous malignancies, characterized by distinct prognoses based upon primary tumor localization, functionality, grade, proliferation index and diverse outcomes to treatment. Here, we report the mutational landscape of 85 whole-genome sequenced aNEN. This landscape reveals distinct genomic subpopulations of aNEN based on primary localization and differentiation grade; we observe relatively high tumor mutational burdens (TMB) in neuroendocrine carcinoma (average 5.45 somatic mutations per megabase) with TP53, KRAS, RB1, CSMD3, APC, CSMD1, LRATD2, TRRAP and MYC as major drivers versus an overall low TMB in neuroendocrine tumors (1.09). Furthermore, we observe distinct drivers which are enriched in somatic aberrations in pancreatic (MEN1, ATRX, DAXX, DMD and CREBBP) and midgut-derived neuroendocrine tumors (CDKN1B). Finally, 49% of aNEN patients reveal potential therapeutic targets based upon actionable (and responsive) somatic aberrations within their genome; potentially directing improvements in aNEN treatment strategies.

Topics & Concepts

Computational biologyBiologyGenetic heterogeneityNeuroendocrine tumorsGeneticsBioinformaticsGenePhenotypeEndocrinologyNeuroendocrine Tumor Research AdvancesLung Cancer Research StudiesNeuroblastoma Research and Treatments
The genomic landscape of 85 advanced neuroendocrine neoplasms reveals subtype-heterogeneity and potential therapeutic targets | Litcius