Evidence map›Paper›PMID 26636884›Full record

ArticleBiomacromolecules2016

Folate Receptor Targeted Delivery of siRNA and Paclitaxel to Ovarian Cancer Cells via Folate Conjugated Triblock Copolymer to Overcome TLR4 Driven Chemotherapy Resistance.

Steven K Jones, Vincent Lizzio, Olivia M Merkel

Open access · greenAbstract read
In one paragraph

Article in Biomacromolecules, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.5field-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

31 citing papers in PubMed, 83 citations in OpenAlex.

  1. Review
  2. Prediction of the Apparent pACS materials Au · 2025
    Article
  3. Review
  4. Review
  5. Review
  6. Folate-Mediated Paclitaxel Nanodelivery Systems: A Comprehensive Review.Turkish journal of pharmaceutical sciences · 2023
    Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Characterization of positively charged polyplexes by tunable resistive pulse sensing.European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V · 2021
    Article
  13. Review
  14. Article
  15. Polymeric vehicles for nucleic acid delivery.Advanced drug delivery reviews · 2020
    Review
  16. Characterization of spray dried powders with nucleic acid-containing PEI nanoparticles.European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V · 2019
    Article
  17. Article
  18. Review
  19. Article
  20. 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

3 authors at 1 institution in 1 country.

Steven K JonesDepartment of Oncology, Wayne State University , 4100 John R Street, Detroit, Michigan 48201, United States.
Vincent LizzioSchool of Medicine, Wayne State University , 540 East Canfield Street, Detroit, Michigan 48201, United States.
Olivia M MerkelDepartment of Oncology, Wayne State University , 4100 John R Street, Detroit, Michigan 48201, United States.
Wayne State University · US

Funding

Tumor Biology and Microenvironment (Program 1)P30CA022453 · NCI · WAYNE STATE UNIVERSITY · PI Julie Lynn Boerner · 1985 to 2026
$68.4M
TRAINING PROGRAM IN THE BIOLOGY OF CANCERT32CA009531 · NCI · WAYNE STATE UNIVERSITY · PI Larry H Matherly · 1985 to 2026
$5.3M
NCI NIH HHS P30 CA022453NCI NIH HHS P30CA22453NCI NIH HHS T32 CA009531NCI NIH HHS T32-CA009531
6 · The paper itself

Abstract

This paper focuses on the ability of a folate-decorated triblock copolymer to deliver a targeted dose of siRNA in order to overcome chemotherapy resistance which can commonly cause complications in ovarian cancer patients. The micelleplexes that are formed upon electrostatic interaction with siRNA are used to deliver siRNA in a targeted manner to SKOV-3 ovarian cancer cells that overexpress folate receptor-α (FRα). The triblock copolymer consists of polyethylenimine-graft-polycaprolactone-block-poly(ethylene glycol) (PEI-g-PCL-b-PEG-Fol). In this work, polymers of different molecular weights of PEG, as well as different grafting degrees of the (g-PCL-b-PEG-Fol) chains to PEI, were analyzed to optimize targeted siRNA delivery. The polymers, their micelleplexes, and the in vitro performance of the latter were characterized by nuclear magnetic resonance, dynamic light scattering, transmission electron microscopy, flow cytrometry, western blot, confocal microscopy, and in luciferase assays. The different PEI-g-PCL-b-PEG-Fol conjugates showed suitable sizes below 260 nm, especially at N/P 5, which also allowed for full siRNA condensation. Furthermore, flow cytometry and Western blot analysis demonstrated that our best polymer was able to effectively deliver siRNA and that siRNA delivery resulted in efficient protein knockdown of toll-like receptor 4 (TLR4). Consequently, TLR4 knock down within SKOV-3 cells resensitized them toward paclitaxel (PTX) treatment, and apoptotic events increased. This study demonstrates that PEI-g-PCL-b-PEG-Fol conjugates are a reliable delivery system for siRNA and are able to mediate therapeutic protein knockdown within ovarian cancer cells. Additionally, this study provides further evidence to link TLR4 levels to chemotherapy resistance.

Indexed as

Cell Line, TumorDrug Delivery SystemsDrug Resistance, NeoplasmFemaleFolate Receptor 1Folic AcidHumansOvarian NeoplasmsPaclitaxelPolyestersPolyethyleneiminePolymersRNA, Small InterferingToll-Like Receptor 4Folate Receptor 1Folic AcidPaclitaxelPolyestersPolyethyleneiminepolyethylenimine-graft-polycaprolactone-block-poly(ethylene glycol)PolymersRNA, Small InterferingTLR4 protein, humanToll-Like Receptor 4

Identifiers

PMID26636884
PMCPMC4937801
OpenAlexW2184277988

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.