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Molecular subtypes of neuroendocrine carcinomas: A cross-tissue classification framework based on five transcriptional regulators.

Authors :
Wang Z
Liu C
Zheng S
Yao Y
Wang S
Wang X
Yin E
Zeng Q
Zhang C
Zhang G
Tang W
Zheng B
Xue L
Wang Z
Feng X
Wang Y
Ying J
Xue Q
Sun N
He J
Source :
Cancer cell [Cancer Cell] 2024 Jun 10; Vol. 42 (6), pp. 1106-1125.e8. Date of Electronic Publication: 2024 May 23.
Publication Year :
2024

Abstract

Neuroendocrine carcinomas (NECs) are extremely lethal malignancies that can arise at almost any anatomic site. Characterization of NECs is hindered by their rarity and significant inter- and intra-tissue heterogeneity. Herein, through an integrative analysis of over 1,000 NECs originating from 31 various tissues, we reveal their tissue-independent convergence and further unveil molecular divergence driven by distinct transcriptional regulators. Pan-tissue NECs are therefore categorized into five intrinsic subtypes defined by ASCL1, NEUROD1, HNF4A, POU2F3, and YAP1. A comprehensive portrait of these subtypes is depicted, highlighting subtype-specific transcriptional programs, genomic alterations, evolution trajectories, therapeutic vulnerabilities, and clinicopathological presentations. Notably, the newly discovered HNF4A-dominated subtype-H exhibits a gastrointestinal-like signature, wild-type RB1, unique neuroendocrine differentiation, poor chemotherapeutic response, and prevalent large-cell morphology. The proposal of uniform classification paradigm illuminates transcriptional basis of NEC heterogeneity and bridges the gap across different lineages and cytomorphological variants, in which context-dependent prevalence of subtypes underlies their phenotypic disparities.<br />Competing Interests: Declaration of interests The authors declare no competing interests.<br /> (Copyright © 2024 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1878-3686
Volume :
42
Issue :
6
Database :
MEDLINE
Journal :
Cancer cell
Publication Type :
Academic Journal
Accession number :
38788718
Full Text :
https://doi.org/10.1016/j.ccell.2024.05.002