DLL3 Expression in Neuroendocrine Carcinomas and Neuroendocrine Tumours: Insights From a Multicentric Cohort of 1294 Pulmonary and Extrapulmonary Neuroendocrine Neoplasms

神经内分泌癌 医学 神经内分泌肿瘤 队列 免疫组织化学 病理 神经内分泌肿瘤 肿瘤科 内科学
作者
Maxime Schmitt,Hanibal Bohnenberger,Detlef K. Bartsch,Daniel‐Christoph Wagner,Anne‐Sophie Litmeyer,Albert Grass,Anja Rinke,Christoph Koch,Marcus Kremer,Matthias Evert,Bruno Märkl,Alexander Quaas,Markus Eckstein,Konrad Steinestel,Carsten Denkert,Katja Steiger,Günter Klöppel,Atsuko Kasajima,Markus Tschurtschenthaler,Sebastian Foersch
出处
期刊:Endocrine Pathology [Springer Science+Business Media]
卷期号:36 (1): 9-9 被引量:6
标识
DOI:10.1007/s12022-025-09854-3
摘要

Abstract Delta-like ligand 3 (DLL3) is frequently expressed in pulmonary small cell neuroendocrine carcinoma (SCNEC) and has emerged as a promising therapeutic target. However, limited data on DLL3 expression in other neuroendocrine neoplasms (NEN), such as extrapulmonary SCNEC, large cell neuroendocrine carcinomas (LCNEC), mixed neuroendocrine-non-neuroendocrine neoplasms (MiNEN), gastroenteropancreatic neuroendocrine tumours (GEP-NET), and pulmonary carcinoids, impedes an estimation if other types of NEN might be suitable candidates for anti-DLL3 therapies. We evaluated DLL3 expression in 1294 NEN and 479 non-neuroendocrine carcinomas, correlating the findings with histological subtypes, tumour localisation, and overall survival (OS). Furthermore, we explored the concordance of DLL3 expression during metastatic progression in 67 paired primary NEN and metastases. DLL3 expression was significantly higher in NEC (64.0%) compared to GEP-NET and pulmonary carcinoids (10.1%, p < 0.001), particularly in SCNEC (80.4%), followed by LCNEC (62.6%) and MiNEN (28.6%). DLL3 was common in pulmonary carcinoids (41.5%), but rare in GEP-NET (5.1%) and non-neuroendocrine carcinomas (1.3%). Overall DLL3 expression was highly concordant between metastases and corresponding primary NEN (92.5%, p < 0.001). In univariable analyses, DLL3-expressing pulmonary carcinoids ( p = 0.005) and GEP-NET ( p = 0.018) were associated with decreased OS, but this was not retained in multivariable analyses adjusting for stage and grade ( p = n. s.). No prognostic impact was observed in pulmonary ( p = 0.708) or GEP-NEC ( p = 0.87). Our study highlights significant differences in DLL3 expression across NEN subtypes and localisations, with largely concordant expression in metastases. DLL3-based therapies may be effective in many NEC and pulmonary carcinoids, while DLL3 appears to be a minor therapeutic target for GEP-NET and non-neuroendocrine carcinomas.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
WJW发布了新的文献求助10
刚刚
幽默闹钟发布了新的文献求助10
刚刚
刚刚
科研通AI6.4应助yang采纳,获得10
1秒前
完美世界应助乐观的路人采纳,获得10
1秒前
shadow发布了新的文献求助200
1秒前
1秒前
1秒前
lkd发布了新的文献求助10
1秒前
Jing发布了新的文献求助10
1秒前
英姑应助eeush采纳,获得10
2秒前
2秒前
心怡完成签到,获得积分20
3秒前
3秒前
三桥完成签到,获得积分10
3秒前
Orange应助ii采纳,获得10
3秒前
3秒前
3秒前
冷艳的熊猫完成签到,获得积分20
4秒前
aoao完成签到,获得积分10
4秒前
科研通AI6.4应助圈圈采纳,获得10
4秒前
NexusExplorer应助欢乐狗采纳,获得10
4秒前
5秒前
5秒前
yy发布了新的文献求助10
6秒前
LYW应助可爱小猫咪采纳,获得10
6秒前
6秒前
Boubou完成签到,获得积分10
6秒前
111关闭了111文献求助
6秒前
月123发布了新的文献求助10
6秒前
心怡发布了新的文献求助10
7秒前
aoao发布了新的文献求助10
7秒前
CipherSage应助星style采纳,获得10
7秒前
曾经发布了新的文献求助10
8秒前
小蘑菇应助小马采纳,获得10
9秒前
爆米花应助yy采纳,获得10
9秒前
叶金鹏发布了新的文献求助10
9秒前
9秒前
10秒前
小马甲应助Alphy采纳,获得10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7757054
求助须知:如何正确求助?哪些是违规求助? 9303518
关于积分的说明 20274828
捐赠科研通 7340592
什么是DOI,文献DOI怎么找? 3311725
关于科研通互助平台的介绍 2462591
邀请新用户注册赠送积分活动 2325427