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

IF 14.7 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM Endocrine Pathology Pub Date : 2025-03-28 DOI:10.1007/s12022-025-09854-3
Maxime Schmitt, Hanibal Bohnenberger, Detlef Klaus Bartsch, Daniel-Christoph Wagner, Anne-Sophie Litmeyer, Albert Grass, Anja Rinke, Christine 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, Moritz Jesinghaus
{"title":"DLL3 Expression in Neuroendocrine Carcinomas and Neuroendocrine Tumours: Insights From a Multicentric Cohort of 1294 Pulmonary and Extrapulmonary Neuroendocrine Neoplasms.","authors":"Maxime Schmitt, Hanibal Bohnenberger, Detlef Klaus Bartsch, Daniel-Christoph Wagner, Anne-Sophie Litmeyer, Albert Grass, Anja Rinke, Christine 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, Moritz Jesinghaus","doi":"10.1007/s12022-025-09854-3","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":55167,"journal":{"name":"Endocrine Pathology","volume":"36 1","pages":"9"},"PeriodicalIF":14.7000,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11953094/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Endocrine Pathology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12022-025-09854-3","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
神经内分泌癌和神经内分泌肿瘤中的 DLL3 表达:来自 1294 例肺部和肺外神经内分泌肿瘤多中心队列的启示。
δ样配体3(DLL3)经常在肺小细胞神经内分泌癌(SCNEC)中表达,并已成为一个很有前景的治疗靶点。然而,有关 DLL3 在其他神经内分泌肿瘤(NEN)中表达的数据有限,如肺外小细胞神经内分泌癌(SCNEC)、大细胞神经内分泌癌(LCNEC)、神经内分泌-非神经内分泌混合瘤(MiNEN)、胃肠胰神经内分泌肿瘤(GEP-NET)和肺类癌,这阻碍了对其他类型的 NEN 是否适合抗 DLL3 疗法的估计。我们评估了1294例NEN和479例非神经内分泌癌的DLL3表达情况,并将评估结果与组织学亚型、肿瘤定位和总生存期(OS)相关联。此外,我们还探讨了 67 例配对的原发性神经内分泌癌和转移瘤在转移进展过程中 DLL3 表达的一致性。与 GEP-NET 和肺类癌相比,DLL3 在 NEC(64.0%)中的表达明显更高(10.1%,p
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Endocrine Pathology
Endocrine Pathology 医学-病理学
CiteScore
12.30
自引率
20.50%
发文量
41
审稿时长
>12 weeks
期刊介绍: Endocrine Pathology publishes original articles on clinical and basic aspects of endocrine disorders. Work with animals or in vitro techniques is acceptable if it is relevant to human normal or abnormal endocrinology. Manuscripts will be considered for publication in the form of original articles, case reports, clinical case presentations, reviews, and descriptions of techniques. Submission of a paper implies that it reports unpublished work, except in abstract form, and is not being submitted simultaneously to another publication. Accepted manuscripts become the sole property of Endocrine Pathology and may not be published elsewhere without written consent from the publisher. All articles are subject to review by experienced referees. The Editors and Editorial Board judge manuscripts suitable for publication, and decisions by the Editors are final.
期刊最新文献
Well-Differentiated Neuroendocrine Tumors of Lung: A Case Series Supporting the IARC/WHO Common Classification of Neuroendocrine Tumor Nomenclature and Grading. Increased Frequency and Distinct Genotypic Patterns of Somatic Aldosterone-Driver Mutations in Aldosterone-Producing Micronodules from Primary Aldosteronism Patients. Clinical and Pathological Features of EC-cell Familial Small Intestine Neuroendocrine Tumors: A Nationwide Cohort From the French GTE-RENATEN Network. In-depth Genetic and Molecular Characterization of Unilateral Coexisting Adrenal Cortical Adenoma and Carcinoma in the Context of MEN1 Syndrome. Impact of Co-Mutations and Genetic Variations on Malignancy Risk in RAS-Positive Indeterminate Thyroid Nodules: an Institutional Experience.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1