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

Autor: Harmen J.G. van de Werken, Linde M. van Veenendaal, Job van Riet, Martijn P. Lolkema, Edwin Cuppen, Heinz-Josef Klümpen, Margot Tesselaar, Bianca Mostert, Ferry A.L.M. Eskens, Stefan Sleijfer, Marcus W. Dercksen, Gerlof D. Valk
Přispěvatelé: Oncology, CCA - Cancer biology and immunology, Medical Oncology, Urology
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
Nature communications, 12(1):4612. Nature Publishing Group
Nature Communications, 12(1):4612. Nature Publishing Group
ISSN: 2041-1723
Popis: 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.
Metastatic and locally-advanced neuroendocrine neoplasms (aNEN) display heterogeneous clinical and genetic characteristics. Here, the authors investigate the mutational landscape of 85 aNEN by whole genome sequencing and identify distinct subpopulations, tumour mutational burden patterns, drivers and actionable somatic alterations.
Databáze: OpenAIRE