Biomarker Landscape in Neuroendocrine Tumors With High-Grade Features: Current Knowledge and Future Perspective

Biomarker Landscape in Neuroendocrine Tumors With High-Grade Features: Current Knowledge and Future Perspective

Neuroendocrine tumors (NETs) are classified based on morphology and are graded based on their proliferation rate as either well-differentiated low-grade (G1) to intermediate (G2–G3) or poorly differentiated high-grade neuroendocrine carcinomas (NEC G3). Recently, in gastroenteropancreatic (GEP) NETs...

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Bibliographic Details
Main Authors: Michele Prisciandaro, Maria Antista, Alessandra Raimondi, Francesca Corti, Federica Morano, Giovanni Centonze, Giovanna Sabella, Alessandro Mangogna, Giovanni Randon, Filippo Pagani, Natalie Prinzi, Monica Niger, Salvatore Corallo, Erica Castiglioni di Caronno, Marco Massafra, Maria Di Bartolomeo, Filippo de Braud, Massimo Milione, Sara Pusceddu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-02-01
Series:Frontiers in Oncology
Subjects:
neuroendocrine tumors
neuroendocrine carcinoma (NEC)
next-generation sequencing (NGS)
PD-L1
high microsatellite instability (MSI-H)
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.780716/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.780716/full

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