Evidence map›Paper›PMID 41345358›Full record

ArticleEndocrine pathology2025

Multi-center Assessment of DLL3 Expression by Immunohistochemistry in Medullary Thyroid Carcinoma.

Ignacio Ruz-Caracuel, Alejandra Rosell, Lucie Geryková, João Martins Gama, Teresa Alonso-Gordoa, Amanda Rodríguez-Villena, Rui Almeida, Marta Rosas, Rebeca Martínez-Hernández, Maria João Martins and 3 more

Abstract readMulticenter Study
In one paragraph

Article in Endocrine pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Ignacio Ruz-CaracuelPathology Department, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain. Ignacio.ruz@salud.madrid.org.
Alejandra RosellPathology Department, Hospital Universitario La Princesa, Madrid, Spain.
Lucie GerykováThe Fingerland Department of Pathology, University Hospital Hradec Králové & Charles University Medical Faculty, Hradec Králové, Czech Republic.
João Martins GamaPathology Department, Hospitais Universitários de Coimbra, Unidade Local de Saúde de Coimbra (ULS Coimbra), Coimbra, Portugal.
Teresa Alonso-GordoaMedical Oncology Department, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, 28034, Spain.
Amanda Rodríguez-VillenaPathology Department, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain.
Rui AlmeidaPathology Department, Hospitais Universitários de Coimbra, Unidade Local de Saúde de Coimbra (ULS Coimbra), Coimbra, Portugal.
Marta RosasPathology Department, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain.
Rebeca Martínez-HernándezEndocrinology and Nutrition Department, Instituto de Investigación La Princesa, Hospital Universitario La Princesa, Madrid, Spain.
Maria João MartinsPathology Department, Hospitais Universitários de Coimbra, Unidade Local de Saúde de Coimbra (ULS Coimbra), Coimbra, Portugal.
Ales RyskaThe Fingerland Department of Pathology, University Hospital Hradec Králové & Charles University Medical Faculty, Hradec Králové, Czech Republic.
Catarina EloyPathology Laboratory, Institute of Molecular Pathology and Immunology, University of Porto (Ipatimup), Porto, Portugal.
José PalaciosPathology Department, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain.

Funding

Instituto Ramon y Cajal de Investigación Sanitaria (IRYCIS) 2021/0453
6 · The paper itself

Abstract

Medullary thyroid carcinoma (MTC) is a rare neuroendocrine malignancy accounting for 1-2% of thyroid carcinomas. As a neuroendocrine neoplasm, it shares molecular features with other aggressive neuroendocrine carcinomas, including alterations in the Myc and Notch pathways. Delta-like ligand 3 (DLL3), an inhibitory ligand of the Notch pathway and a validated therapeutic target in small cell lung carcinoma, has attracted interest as a biomarker and potential target in other neuroendocrine tumors; however, its relevance in MTC remains poorly characterized. We performed a multicenter retrospective study of 119 MTC cases resected between 2000 and 2024 across five European institutions. DLL3 immunohistochemistry was assessed on whole sections using the Ventana SP347 antibody, with expression categorized as null (< 1%), low (1-49%), or high (≥ 50%). Interobserver agreement between two endocrine pathologists was substantial (weighted kappa = 0.80). DLL3 positivity (≥ 1%) was observed in 89.1% of cases; 53.8% showed low and 35.3% high expression. DLL3-high expression correlated with adverse histopathological features, including larger tumor size, high-grade histology, desmoplasia, positive surgical margins, and lymph node metastases. In survival analyses, DLL3-high expression was associated with significantly shorter disease-free survival (HR 7.96, p = 0.05) and overall survival (HR 11.6, p = 0.01). Our findings indicate that DLL3 is frequently expressed in MTC and its high expression identifies tumors with aggressive pathological characteristics and poor clinical outcomes. These results support DLL3 as a potential prognostic biomarker and therapeutic target in MTC, highlighting the need for further validation and integration into clinical trials of DLL3-directed therapies.

Indexed as

Biomarkers, TumorCarcinoma, NeuroendocrineIntracellular Signaling Peptides and ProteinsMembrane ProteinsThyroid NeoplasmsAdultAgedAged, 80 and overFemaleHumansImmunohistochemistryMaleMiddle AgedRetrospective StudiesYoung AdultBiomarkers, TumorDLL3 protein, humanIntracellular Signaling Peptides and ProteinsMembrane ProteinsDLL3Medullary thyroid carcinomaNeuroendocrine neoplasmPrognostic biomarkerTargeted therapyThyroid

Identifiers

PMID41345358
PMCPMC12678581

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.