Cited by 71RNA Interference and Gene DeliveryNanoparticle-Based Drug DeliveryMicroRNA in disease regulation

Targeted nanoparticle delivery of therapeutic antisense microRNAs presensitizes glioblastoma cells to lower effective doses of temozolomide in vitro and in a mouse model

Open access
Malhotra, Meenakshi, Sekar, Thillai Veerapazham, Ananta, Jeyarama S., Devulapally, Rammohan, Afjei, Rayhaneh, Babikir, Husam A., Paulmurugan, Ramasamy, Massoud, Tarik F.·2018·Oncotarget

Abstract

// Meenakshi Malhotra 1 , Thillai Veerapazham Sekar 2 , Jeyarama S. Ananta 1 , Rammohan Devulapally 2 , Rayhaneh Afjei 1 , Husam A. Babikir 1 , Ramasamy Paulmurugan 2 and Tarik F. Massoud 1 1 Laboratory for Experimental and Molecular Neuroimaging (LEMNI), Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA 94305, USA 2 Cellular Pathway Imaging Laboratory (CPIL), Molecular Imaging Program at Stanford, Stanford University School of Medicine, Palo Alto, CA 94305, USA Correspondence to: Tarik F. Massoud, email: tmassoud@stanford.edu Ramasamy Paulmurugan, email: paulmur8@stanford.edu Keywords: antagomiR; chemotherapy; microRNA-21; microRNA-10b; PLGA Received: February 09, 2018 Accepted: March 28, 2018 Published: April 20, 2018 ABSTRACT Temozolomide (TMZ) chemotherapy for glioblastoma (GBM) is generally well tolerated at standard doses but it can cause side effects. GBMs overexpress microRNA-21 and microRNA-10b, two known oncomiRs that promote cancer development, progression and resistance to drug treatment. We hypothesized that systemic injection of antisense microRNAs (antagomiR-21 and antagomiR-10b) encapsulated in cRGD-tagged PEG-PLGA nanoparticles would result in high cellular delivery of intact functional antagomiRs, with consequent efficient therapeutic response and increased sensitivity of GBM cells to lower doses of TMZ. We synthesized both targeted and non-targeted nanoparticles, and characterized them for size, surface charge and encapsulation efficiency of antagomiRs. When using targeted nanoparticles in U87MG and Ln229 GBM cells, we showed higher uptake-associated improvement in sensitivity of these cells to lower concentrations of TMZ in medium. Co-inhibition of microRNA-21 and microRNA-10b reduced the number of viable cells and increased cell cycle arrest at G2/M phase upon TMZ treatment. We found a significant increase in expression of key target genes for microRNA-21 and microRNA-10b upon using targeted versus non-targeted nanoparticles. There was also significant reduction in tumor volume when using TMZ after pre-treatment with loaded nanoparticles in human GBM cell xenografts in mice. In vivo targeted nanoparticles plus different doses of TMZ showed a significant therapeutic response even at the lowest dose of TMZ, indicating that preloading cells with antagomiR-21 and antagomiR-10b increases cellular chemosensitivity towards lower TMZ doses. Future clinical applications of this combination therapy may result in improved GBM response by using lower doses of TMZ and reducing nonspecific treatment side effects.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.18632/oncotarget.25135

Cites

42 of 42 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • miR-21 is overexpressed in almost all cancer types, and its upregulation promotes cell proliferation, invasion, and metastatic behavior.

    “miR-21 is a well-known miRNA, found to be overexpressed in almost all cancer types, where its upregulation promotes cell proliferation, invasion, and metastatic behavior.”

    From Potential Therapeutic Effects of Exosomes Packed With a miR-21-Sponge Construct in a Rat Model of Glioblastoma (2019) · cites this paper as [23]

    The Introduction identifies miR-21 as an oncomiR overexpressed in the majority of glioblastomas, and the Discussion links miR-21 downregulation to decreased proliferation. The source does not establish overexpression in almost all cancer types; its explicit account of increased invasion concerns miR-10b, while its mention of metastasis concerns miRNAs generally, not miR-21 specifically. Page numbers are not available in our copy. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • miR-21 targets several genes such as PDCD4, TIMP3, and RECK, which are key regulators of apoptotic and metastatic pathways.

    “miR-21 targets several genes such as PDCD4, TIMP3, and RECK, which are key regulators of apoptotic and metastatic pathways (17–23).”

    From Potential Therapeutic Effects of Exosomes Packed With a miR-21-Sponge Construct in a Rat Model of Glioblastoma (2019) · cites this paper as [23]

    The Introduction (page unavailable) lists PDCD4, TIMP3, and RECK as associated targets of miR-21. The Discussion (page unavailable) links PDCD4 to increased apoptosis, but the paper does not identify TIMP3 or RECK as key regulators of apoptotic or metastatic pathways. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • Overexpressed miR-21 in cell lines can increase the proliferation rate and malignant behavior of the cells.

    “Our data on the effects of miR-21 enriched exosomes is in agreement with the previous reports demonstrating that overexpressed miR-21 in cell lines can increase the proliferation rate and malignant behavior of the cells (17–23).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [29]Tamilselvan N Raghavan CV Balakumar K Karthik S Preparation of PLGA nanoparticles for encapsulating hydrophilic drug: modification of standard methods and it’s in vitro biological evaluation Asian journal of Research in Biological and Pharmaceutical Sciences 2014 2 121 132

Cited by

Sorted by citations

Authors
Malhotra, M., Sekar, T. V., Ananta, J. S., Devulapally, R., Afjei, R., Babikir, H. A., Paulmurugan, R., & Massoud, T. F.
Affiliations
Stanford Medicine (US)
Corresponding author
Massoud, Tarik F.
Venue
Oncotarget
Published
2018-04-20
Volume
9
Issue
30
Pages
21478-21494
ISSN
1949-2553 (ISSN-L)
OpenAlex
W2802627587
Cited by
71
References
42
Citations by year
2026: 1 · 2025: 7 · 2024: 2 · 2023: 12 · 2022: 7 · 2021: 15 · 2020: 12 · 2019: 15
FWCI
3.74
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Oncotarget (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • Ben and Catherine Ivy Foundation
  • National Institutes of Health
  • National Cancer Institute (U54CA199075)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
  • Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
Keywords
glioblastoma, temozolomide, PLGA-PEG nanoparticles, nanoparticle drug delivery, chemosensitization, oncogenic microRNA, G2/M cell cycle arrest, tumor growth inhibition, xenograft mouse model, U87 cells

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review