Evidence map›Paper›PMID 39006318›Full record

ArticleAdvanced therapeutics2024

Antibody and siRNA Nanocarriers to Suppress Wnt Signaling, Tumor Growth, and Lung Metastasis in Triple-Negative Breast Cancer.

Megan N Dang, Sejal Suri, Kejian Li, Carolina Gomez Casas, Gianna Stigliano, Rachel S Riley, Mackenzie A Scully, Elise C Hoover, Sara B Aboeleneen, George C Kramarenko and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Frizzled receptors: gatekeepers of Wnt signaling in development and disease.Frontiers in cell and developmental biology · 2025
    Review
  9. Article
  10. 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

11 authors.

Megan N DangDepartment of Biomedical Engineering, University of Delaware, Newark, DE, 19713, USA.
Sejal SuriDepartment of Biomedical Engineering, University of Delaware, Newark, DE, 19713, USA.
Kejian LiDepartment of Biomedical Engineering, University of Delaware, Newark, DE, 19713, USA.
Carolina Gomez CasasDepartment of Biomedical Engineering, University of Delaware, Newark, DE, 19713, USA.
Gianna StiglianoDepartment of Animal & Food Sciences, University of Delaware, Newark, DE, 19716, USA.
Rachel S RileyDepartment of Biomedical Engineering, University of Delaware, Newark, DE, 19713, USA.
Mackenzie A ScullyDepartment of Biomedical Engineering, University of Delaware, Newark, DE, 19713, USA.
Elise C HooverDepartment of Biomedical Engineering, University of Delaware, Newark, DE, 19713, USA.
Sara B AboeleneenDepartment of Biomedical Engineering, University of Delaware, Newark, DE, 19713, USA.
George C KramarenkoDepartment of Biomedical Engineering, University of Delaware, Newark, DE, 19713, USA.
Emily S DayDepartment of Biomedical Engineering, University of Delaware, Newark, DE, 19713, USA.

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI Shawn W Polson · 2012 to 2026
$67.2M
Understanding synovial macrophage inflamm-aging within osteoarthritisP20GM139760 · NIGMS · UNIVERSITY OF DELAWARE · PI DAWN M ELLIOTT · 2021 to 2026
$19.1M
Chemistry-Biology Interface Predoctoral Training Grant 2024-2029T32GM133395 · NIGMS · UNIVERSITY OF DELAWARE · PI Catherine Leimkuhler Grimes · 2019 to 2026
$3.7M
Multifunctional siRNA/antibody nanocarriers to treat metastatic triple-negative breast cancerR01CA211925 · NCI · UNIVERSITY OF DELAWARE · PI DAY, EMILY S · 2019 to 2023
$1.7M
Zeiss LSM710 Inverted Confocal MicroscopeS10OD016361 · OD · UNIVERSITY OF DELAWARE · PI CAPLAN, JEFFREY L · 2015 to 2015
$444k
NCI NIH HHS R01 CA211925NIGMS NIH HHS P20 GM103446NIGMS NIH HHS P20 GM139760NIGMS NIH HHS T32 GM133395NIH HHS S10 OD016361
6 · The paper itself

Abstract

The paucity of targeted therapies for triple-negative breast cancer (TNBC) causes patients with this aggressive disease to suffer a poor clinical prognosis. A promising target for therapeutic intervention is the Wnt signaling pathway, which is activated in TNBC cells when extracellular Wnt ligands bind overexpressed Frizzled7 (FZD7) transmembrane receptors. This stabilizes intracellular β-catenin proteins that in turn promote transcription of oncogenes that drive tumor growth and metastasis. To suppress Wnt signaling in TNBC cells, we developed therapeutic nanoparticles (NPs) functionalized with FZD7 antibodies and β-catenin small interfering RNAs (siRNAs). The antibodies enable TNBC cell-specific binding and inhibit Wnt signaling by locking FZD7 receptors in a ligand unresponsive state, while the siRNAs suppress β-catenin through RNA interference. Compared to NPs coated with antibodies or siRNAs individually, NPs coated with both agents more potently reduce the expression of several Wnt related genes in TNBC cells, leading to greater inhibition of cell proliferation, migration, and spheroid formation. In two murine models of metastatic TNBC, the dual antibody/siRNA nanocarriers outperformed controls in terms of inhibiting tumor growth, metastasis, and recurrence. These findings demonstrate suppressing Wnt signaling at both the receptor and mRNA levels via antibody/siRNA nanocarriers is a promising approach to combat TNBC.

Indexed as

combination therapygene regulationgold nanoparticleslung metastasisRNA interferencesignal cascade interferencetargeted therapy

Identifiers

PMID39006318
PMCPMC11238604

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.