Evidence map›Paper›PMID 32276005›Full record

ArticleJournal of controlled release : official journal of the Controlled Release Society2020

Engineering peptide-targeted liposomal nanoparticles optimized for improved selectivity for HER2-positive breast cancer cells to achieve enhanced in vivo efficacy.

Baksun Kim, Jaeho Shin, Junmin Wu, David T Omstead, Tanyel Kiziltepe, Laurie E Littlepage, Basar Bilgicer

Open access · greenAbstract read
In one paragraph

Article in Journal of controlled release : official journal of the Controlled Release Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.9field-weighted citation impact, top 5% of its field
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

33 citing papers in PubMed, 73 citations in OpenAlex.

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  9. Nanotechnology Applications in Breast Cancer Immunotherapy.Small (Weinheim an der Bergstrasse, Germany) · 2024
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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

7 authors at 1 institution in 1 country.

Baksun KimDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, United States of America.
Jaeho ShinDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, United States of America.
Junmin WuDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN 46556, United States of America; Harper Cancer Research Institute, University of Notre Dame, Notre Dame, IN 46556, United States of America.
David T OmsteadDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, United States of America.
Tanyel KiziltepeDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, United States of America; Harper Cancer Research Institute, University of Notre Dame, Notre Dame, IN 46556, United States of America; Advanced Diagnostics and Therapeutics, University of Notre Dame, Notre Dame, IN 46556, United States of America.
Laurie E LittlepageDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN 46556, United States of America; Harper Cancer Research Institute, University of Notre Dame, Notre Dame, IN 46556, United States of America. Electronic address: laurie.littlepage@nd.edu.
Basar BilgicerDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, United States of America; Harper Cancer Research Institute, University of Notre Dame, Notre Dame, IN 46556, United States of America; Advanced Diagnostics and Therapeutics, University of Notre Dame, Notre Dame, IN 46556, United States of America. Electronic address: bbilgicer@nd.edu.
University of Notre Dame · US

Funding

Online Raman Diagnostics of OncometabolitesR33CA206922 · NCI · UNIVERSITY OF NOTRE DAME · PI SCHULTZ, ZACHARY · 2016 to 2018
$1.0M
NCI NIH HHS R33 CA206922
6 · The paper itself

Abstract

Here, we report rationally engineered peptide-targeted liposomal doxorubicin nanoparticles that have an enhanced selectivity for HER2-positive breast tumor cells with high purity, reproducibility, and precision in controlling stoichiometry of targeting peptides. To increase HER2-positive tumor cell selective drug delivery, we optimized the two most important design parameters, peptide density and linker length, via systematic evaluations of their effects on both in vitro cellular uptake and in vivo tumor accumulation and cellular uptake. The optimally designed nanoparticles were finally evaluated for their tumor inhibition efficacy using in vivo MMTV-neu transplantation mouse model. In vitro, we demonstrated that ~1% peptide density and EG8 linker were optimal parameters for targeted nanoparticle formulations to enhance HER2-positive cancer cellular uptake while preventing non-selectivity. In vivo results demonstrated that at 0.5% peptide density, enhancement of tumor cell uptake over non-targeted nanoparticles was ~2.7 fold and ~3.4 fold higher for targeted nanoparticles with EG8 and EG18 linker, respectively, while their accumulation levels at tumor tissue were similar to the non-targeted nanoparticles. These results were consistent with in vivo efficacy outcomes that ~90% tumor growth inhibition was achieved by Dox-loaded HER2 receptor targeted nanoparticles, TNP

Indexed as

Breast NeoplasmsNanoparticlesAnimalsCell Line, TumorDoxorubicinDrug Delivery SystemsFemaleHumansMicePeptidesReproducibility of ResultsDoxorubicinPeptidesBreast cancerHER2 targeted nanoparticleOptimizing targeted nanoparticle formulationPeptide targeting

Identifiers

PMID32276005
PMCPMC7932755
OpenAlexW3015311364

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.