Evidence map›Paper›PMID 40666328›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Delta-like ligand 3 expression and functional imaging in gastroenteropancreatic neuroendocrine neoplasms.

Rohit Thummalapalli, Salomon Tendler, Joanne F Chou, Zeynep C Tarcan, Courtney Porfido, Jonathan Willner, Irina Linkov, Umesh Bhanot, Alissa J Cooper, Jierui Xu and 15 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Rohit ThummalapalliDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Salomon TendlerDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Joanne F ChouDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.
Zeynep C TarcanDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Courtney PorfidoDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Jonathan WillnerDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Irina LinkovPathology Core Facility, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Umesh BhanotDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Alissa J CooperDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Jierui XuMarie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY.
James J HardingDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Natasha RekhtmanDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Laura H TangDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Charles M RudinDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Yelena Y JanjigianDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Heiko SchöderDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.
John T PorierPerlmutter Cancer Center, New York University Langone Health, New York, NY.
Jinru ShiaDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Olca BasturkDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Diane Reidy-LagunesDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.
Marinela CapanuDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.
Jason S LewisDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.
Lisa BodeiDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.
Mark P DunphyDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.
Nitya RajDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Leveraging Pb-203/212 for the Theranostic Imaging and Therapy of Prostate CancerR35CA232130 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI LEWIS, JASON S. · 2019 to 2025
$8.2M
Novel therapeutic development for small cell lung cancerR35CA263816 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Charles M. Rudin · 2021 to 2026
$6.3M
Immuno-PET imaging of high-grade neuroendocrine lung tumors using 89Zrrovalpituzumab, a DLL3-targeting monoclonal antibodyR01CA213448 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI POIRIER, JOHN THOMAS, RUDIN, CHARLES M. · 2017 to 2021
$3.1M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA213448NCI NIH HHS R35 CA232130NCI NIH HHS R35 CA263816
6 · The paper itself

Abstract

Purpose: Delta-like ligand 3 (DLL3) is an emerging target across neuroendocrine cancers, but remains underexplored in gastroenteropancreatic neuroendocrine neoplasms (GEP NENs) including poorly differentiated neuroendocrine carcinomas (GEP NECs) and well differentiated neuroendocrine tumors (NETs). We aimed to define the landscape of DLL3 expression and feasibility of DLL3-targeted imaging in this population. Patients and Methods: We completed DLL3 immunohistochemistry (IHC) on 360 tumor samples from patients with GEP NENs, analyzing associations between DLL3 IHC positivity and clinicopathologic features and outcomes. [ Results: Among GEP NECs, DLL3 expression was identified in 53/75 (71%) samples, was enriched for small cell histology, and did not demonstrate prognostic significance. Among well differentiated pancreatic NETs (PanNETs), DLL3 expression was identified in 22/51 (43%) grade 3 (G3) tumors, with univariate analysis revealing increased mortality risk among patients with DLL3-positive advanced G3 PanNETs (hazard ratio 3.27, 95% confidence interval 1.09-9.78). Between May 28, 2024 and February 10, 2025, six patients with DLL3 IHC-positive GEP NENs were enrolled onto the imaging protocol. [ Conclusion: DLL3 is expressed on a majority of GEP NECs and on a subset of high grade PanNETs marked by poor outcomes. Functional imaging suggests DLL3 as a promising therapeutic target in both GEP NECs and high grade PanNETs.

Identifiers

PMID40666328
PMCPMC12262743

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