Evidence map›Paper›PMID 41634524›Full record

ArticleAnnals of surgical oncology2026

Lighting up PNETs: Creating Murine Models with a Novel Bioluminescent Cell Line.

Matthew C Moccia, Rachel Nation, T Hess, Gena V Topper, Ami Kalola, Michael Wang, Hannah Sofield, Zena Saleh, Xiaofeng Zhao, Yahui Li and 3 more

Abstract read
In one paragraph

Article in Annals of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Matthew C Moccia *Department of Surgery, Cooper University Health Care, Camden, NJ, USA.
Rachel Nation *Department of Surgery, Cooper University Health Care, Camden, NJ, USA.
T HessDepartment of Surgery, Cooper University Health Care, Camden, NJ, USA.
Gena V TopperDepartment of Surgery, Cooper University Health Care, Camden, NJ, USA.
Ami KalolaDepartment of Surgery, Cooper University Health Care, Camden, NJ, USA.
Michael WangDepartment of Surgery, Cooper University Health Care, Camden, NJ, USA.
Hannah SofieldDepartment of Surgery, Cooper University Health Care, Camden, NJ, USA.
Zena SalehDepartment of Surgery, Cooper University Health Care, Camden, NJ, USA.
Xiaofeng ZhaoDepartment of Pathology, Cooper University Health Care, Camden, NJ, USA.
Yahui LiDepartment of Surgery, Cooper University Health Care, Camden, NJ, USA.
Francis SpitzDepartment of Surgery, Cooper University Health Care, Camden, NJ, USA.
Tao GaoDepartment of Surgery, Cooper University Health Care, Camden, NJ, USA. gao-tao@cooperhealth.edu.
Young Ki HongDepartment of Surgery, Cooper University Health Care, Camden, NJ, USA. hong-young@cooperhealth.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPancreatic neuroendocrine tumors (PNETs) are rare malignancies with limited treatment options beyond surgery, particularly in advanced stages, highlighting the need for novel therapeutic strategies. Featured by pronounced biologic heterogeneity, PNETs are driven by dysregulation of complex molecular-signaling pathways during tumor progression. This underscores the importance of biologically relevant and cost-effective preclinical models that allow convenient real-time monitoring of tumor progression and tracking of individual tumor cells, a current gap in the field.

methodsTo address this challenge, the authors engineered a novel enteroendocrine tumor-derived STC-1 murine cell line that stably co-expresses firefly luciferase (F-Luc) and enhanced green fluorescent protein (EGFP). These dual-labeled cells were implanted into immunocompromised mice via three different routes: subcutaneous (SubQ), renal capsule (RC), and orthotopic pancreatic (OP) injections. Tumor growth was tracked using bioluminescence in vivo imaging, and PNET characteristics were assessed by histologic, immunohistochemical (IHC) and co-immunofluorescence analyses.

resultsTumors formed in all three models. The SubQ model showed rapid tumor growth but lacked key PNET features based on hematoxylin and eosin (H&E) and IHC staining. The RC model exhibited moderate growth but limited expression of PNET-specific markers. In contrast, the OP model demonstrated robust tumor growth and most closely resembled well-differentiated, grade 1 human PNETs. Lineage-tracing experiments further exhibited clonal architecture and dynamic progression within the OP model.

conclusionsOrthotopic pancreatic implantation of dual-labeled STC-1 cells provides a biologically relevant and pragmatic preclinical platform that closely resembles human PNETs. This model offers valuable utility for investigating PNET biology and evaluating novel therapeutic strategies.

Indexed as

Disease Models, AnimalLuminescent MeasurementsNeuroendocrine TumorsPancreatic NeoplasmsAnimalsCell Line, TumorGreen Fluorescent ProteinsHumansLuciferases, FireflyMiceTumor Cells, Culturedenhanced green fluorescent proteinGreen Fluorescent ProteinsLuciferases, FireflyBioluminescence live imagingLineage tracingOrthotopic pancreatic implantationPancreatic neuroendocrine tumor

Identifiers

PMID41634524
PMCPMC13083327

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Registered trials

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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.