Evidence map›Paper›PMID 41696244›Full record

ArticleACS omega2026

Loading Density Influences the Tumor Cell Targeting and Signaling Inhibition Capabilities of Antibody Nanoconjugates.

George C Kramarenko, Carolina Gomez Casas, Megan N Dang, Nikos D Demetriou, Emily S Day

Abstract read
In one paragraph

Article in ACS omega, 2026. 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

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

5 authors.

George C KramarenkoDepartment of Biomedical Engineering, University of Delaware, Newark, DE 19716, United States.ORCID https://orcid.org/0000-0002-6990-5620
Carolina Gomez CasasDepartment of Biomedical Engineering, University of Delaware, Newark, DE 19716, United States.ORCID https://orcid.org/0000-0002-7548-2978
Megan N DangDepartment of Biomedical Engineering, University of Delaware, Newark, DE 19716, United States.ORCID https://orcid.org/0000-0002-4222-3355
Nikos D DemetriouDepartment of Biomedical Engineering, University of Delaware, Newark, DE 19716, United States.
Emily S DayDepartment of Biomedical Engineering, University of Delaware, Newark, DE 19716, United States.ORCID https://orcid.org/0000-0002-8707-826X

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
Vascular Consequences of Duchenne Muscular DystrophyP20GM113125 · NIGMS · UNIVERSITY OF DELAWARE · PI LENNON, SHANNON L. · 2016 to 2025
$23.3M
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
Probing nano/bio interactions to understand and overcome biological barriers limiting nanomedicineR35GM149292 · NIGMS · UNIVERSITY OF DELAWARE · PI Emily S Day · 2023 to 2026
$1.6M
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 GM113125NIGMS NIH HHS P20 GM139760NIGMS NIH HHS R35 GM149292NIGMS NIH HHS T32 GM133395NIH HHS S10 OD016361
6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype and accounts for up to 20% of all breast cancers. Since conventional chemotherapy and radiotherapy are ineffective against TNBC, nanoparticle-based medicines are being investigated as a potentially superior treatment option. Of such platforms, antibody-nanoparticle conjugates have been shown to precisely target diseased cells through selective antigen binding and to regulate oncogenic cellular signaling by blocking ligand activation of the targeted receptor. For example, silica core-gold shell "nanoshells" (NS) conjugated to Frizzled7 (FZD7) antibodies can preferentially bind TNBC cells to suppress Wnt signaling and inhibit disease progression. To improve understanding of antibody nanoconjugate structure/function relationships, in this study, we evaluated the influence of antibody loading density on the ability of FZD7-NS conjugates to bind TNBC cells, suppress Wnt signaling, and inhibit oncogenic cell behavior. We found that a lower antibody loading density of ∼60 antibodies per NS provided increased TNBC cellular binding and enhanced therapeutic efficacy compared to a higher antibody loading of ∼170 antibodies per NS. Specifically, the low-density FZD7-NS exhibited ∼2× greater binding avidity to MDA-MB-231 human TNBC cells than high-density FZD7-NS, yielding more robust inhibition of several Wnt target genes, as measured by RT-qPCR. Congruently, tumor spheroids formed from MDA-MB-231 cells that were pretreated with low-density FZD7-NS had significantly reduced area, metabolic activity, and cell number compared to those treated with high-density FZD7-NS. These results emphasize the importance of determining the appropriate surface ligand density when designing antibody-nanoparticle conjugates for therapeutic utility.

Identifiers

PMID41696244
PMCPMC12903012

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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.