Evidence map›Paper›PMID 38507033›Full record

ArticleDrug delivery and translational research2024

Evaluation of mAb 2C5-modified dendrimer-based micelles for the co-delivery of siRNA and chemotherapeutic drug in xenograft mice model.

Satya Siva Kishan Yalamarty, Nina Filipczak, Tanvi Pathrikar, Colin Cotter, Janaína Artem Ataide, Ed Luther, Swarali Paranjape, Vladimir Torchilin

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Drug delivery and translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Emerging dendrimer-based RNA delivery strategies.Nanomedicine (London, England) · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Satya Siva Kishan YalamartyCenter for Pharmaceutical Biotechnology and Nanomedicine, Northeastern University, Boston, MA, 02115, USA. yalamarty.s@northeastern.edu.ORCID 0000-0002-2941-0754
Nina FilipczakCenter for Pharmaceutical Biotechnology and Nanomedicine, Northeastern University, Boston, MA, 02115, USA.
Tanvi PathrikarCenter for Pharmaceutical Biotechnology and Nanomedicine, Northeastern University, Boston, MA, 02115, USA.
Colin CotterCenter for Pharmaceutical Biotechnology and Nanomedicine, Northeastern University, Boston, MA, 02115, USA.
Janaína Artem AtaideFaculty of Pharmaceutical Sciences, University of Campinas (UNICAMP), Campinas, 13083- 871, SP, Brazil.
Ed LutherDepartment of Pharmaceutical Sciences, Northeastern University, Boston, MA, 02115, USA.
Swarali ParanjapeCenter for Pharmaceutical Biotechnology and Nanomedicine, Northeastern University, Boston, MA, 02115, USA.
Vladimir TorchilinCenter for Pharmaceutical Biotechnology and Nanomedicine, Northeastern University, Boston, MA, 02115, USA. v.torchilin@northeastern.edu.
Northeastern University · USUniversidade Estadual de Campinas (UNICAMP) · BR

Funding

Lipid-dendrimer micellar nanocarriers for siRNA/drug co-delivery in MDR cancerR01CA200844 · NCI · NORTHEASTERN UNIVERSITY · PI TORCHILIN, VLADIMIR P · 2016 to 2020
$1.7M
Foundation for the National Institutes of Health 1R01CA200844NCI NIH HHS R01 CA200844
6 · The paper itself

Abstract

Combination therapy with small interfering RNA (siRNA) and chemotherapeutic drug is proven to be effective in downregulating cancer resistance proteins, such as P-glycoprotein (P-gp). These proteins are involved in multidrug resistance (MDR) of tumors. A targeted formulation capable of delivering siRNA and chemotherapeutic drug will not only downregulate P-gp but also increase the concentration of the chemotherapeutic drug at the site of tumor thereby increasing the therapeutic effect and lowering the systemic exposure. In this study, monoclonal antibody 2C5-modified dendrimer-based micelles were used to co-deliver siRNA and doxorubicin (DOX) to the tumor site in both male and female xenograft mouse model. The nucleosome-specific 2C5 antibody recognizes the cancer cells via the cell-surface bound nucleosomes. The ability of ability of the 2C5-modified formulation to affect the metastasis of highly aggressive triple negative breast cancer cell migration in (MDA-MB-231) was assessed by a wound healing. Further, the therapeutic efficacy of the formulation was assessed by measuring the tumor volume progression in which the 2C5-modified nanoparticle group had a similar tumor volume to the free drug group at the end of the study, although a 50% increase in DOX concentrations in blood was observed after the last dose of nanoparticle. The free drug group on the other hand showed body weight reduction as well as the visible irritation around the injection spot. The treatment group with 2C5-modified micelles has shown to be safe at the current dose of DOX and siRNA. Furthermore, the siRNA mediated P-gp downregualtion was studied using western blotting assay. We observed a 29% reduction of P-gp levels in both males and females with respect to the control (BHG). We also conclude that the dose of DOX and siRNA should be further optimized to have a better efficacy in a metastatic tumor model, which will be the subject of our future studies.

Indexed as

DendrimersDoxorubicinMicellesRNA, Small InterferingXenograft Model Antitumor AssaysAnimalsAntibiotics, AntineoplasticAntibodies, MonoclonalCell Line, TumorCell MovementFemaleHumansMaleMiceMice, NudeTriple Negative Breast NeoplasmsAntibiotics, AntineoplasticAntibodies, MonoclonalDendrimersDoxorubicinMicellesRNA, Small InterferingBreast cancerCo-deliveryDendrimerIn vivoNanoparticlesPreclinical modelsiRNA

Identifiers

PMID38507033
PMCPMC11208241
OpenAlexW4392985645

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.