Evidence map›Paper›PMID 38167999›Full record

ArticleScientific reports2024

In-vivo studies of targeted and localized cancer drug release from microporous poly-di-methyl-siloxane (PDMS) devices for the treatment of triple negative breast cancer.

S C Eluu, J D Obayemi, A A Salifu, D Yiporo, A O Oko, T Aina, J C Oparah, C C Ezeala, P O Etinosa, C M Ugwu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.5field-weighted citation impact, top 9% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

12 authors at 6 institutions in 3 countries.

S C EluuDepartment of Pharmaceutical Microbiology and Biotechnology, Nnamdi Azikiwe University, Ifite Awka, 420110, Anambra State, Nigeria.
J D ObayemiDepartment of Mechanical Engineering, Higgins Lab, Worcester Polytechnic Institute (WPI), 100 Institute Road, Worcester, MA, 01609, USA.
A A SalifuDepartment of Engineering, Morrissey College of Arts and Science, Boston College, Boston, USA.
D YiporoDepartment of Mechanical Engineering, Ashesi University, Berekuso, Ghana.
A O OkoDepartment of Biology and Biotechnology, David Umahi Federal, University of Health Sciences, Uburu, Nigeria.
T AinaDepartment of Material Science, African University of Science and Technology, Km 10 Airport Road, Abuja, Nigeria.
J C OparahDepartment of Material Science, African University of Science and Technology, Km 10 Airport Road, Abuja, Nigeria.
C C EzealaDepartment of Material Science, African University of Science and Technology, Km 10 Airport Road, Abuja, Nigeria.
P O EtinosaDepartment of Mechanical Engineering, Higgins Lab, Worcester Polytechnic Institute (WPI), 100 Institute Road, Worcester, MA, 01609, USA.
C M UgwuDepartment of Pharmaceutical Microbiology and Biotechnology, Nnamdi Azikiwe University, Ifite Awka, 420110, Anambra State, Nigeria.
C O EsimoneDepartment of Pharmaceutical Microbiology and Biotechnology, Nnamdi Azikiwe University, Ifite Awka, 420110, Anambra State, Nigeria.
W O SoboyejoDepartment of Mechanical Engineering, Higgins Lab, Worcester Polytechnic Institute (WPI), 100 Institute Road, Worcester, MA, 01609, USA. soboyew@sunypoly.edu.
African Institute of Science and Technology · NGNnamdi Azikiwe University · NGWorcester Polytechnic Institute · USAshesi University · GHBoston University · USSUNY Polytechnic Institute · US

Funding

Pan African Materials Institute P126974
6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) treatment is challenging and frequently characterized by an aggressive phenotype and low prognosis in comparison to other subtypes. This paper presents fabricated implantable drug-loaded microporous poly-di-methyl-siloxane (PDMS) devices for the delivery of targeted therapeutic agents [Luteinizing Hormone-Releasing Hormone conjugated paclitaxel (PTX-LHRH) and Luteinizing Hormone-Releasing Hormone conjugated prodigiosin (PG-LHRH)] for the treatment and possible prevention of triple-negative cancer recurrence. In vitro assessment using the Alamar blue assay demonstrated a significant reduction (p < 0.05) in percentage of cell growth in a time-dependent manner in the groups treated with PG, PG-LHRH, PTX, and PTX-LHRH. Subcutaneous triple-negative xenograft breast tumors were then induced in athymic female nude mice that were four weeks old. Two weeks later, the tumors were surgically but partially removed, and the device implanted. Mice were observed for tumor regrowth and organ toxicity. The animal study revealed that there was no tumor regrowth, six weeks post-treatment, when the LHRH targeted drugs (LHRH-PTX and LHRH-PGS) were used for the treatment. The possible cytotoxic effects of the released drugs on the liver, kidney, and lung are assessed using quantitative biochemical assay from blood samples of the treatment groups. Ex vivo histopathological results from organ tissues showed that the targeted cancer drugs released from the implantable drug-loaded device did not induce any adverse effect on the liver, kidneys, or lungs, based on the results of qualitative toxicity studies. The implications of the results are discussed for the targeted and localized treatment of triple negative breast cancer.

Indexed as

Antineoplastic AgentsTriple Negative Breast NeoplasmsAnimalsCell Line, TumorFemaleGonadotropin-Releasing HormoneHumansMiceMice, NudeReceptors, LHRHSiloxanesAntineoplastic AgentsGonadotropin-Releasing HormoneReceptors, LHRHSiloxanes

Identifiers

PMID38167999
PMCPMC10761815
OpenAlexW4390502087

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.