Evidence map›Paper›PMID 36071352›Full record

ArticlePharmaceutical research2022

Simultaneous Targeting of Multiple oncomiRs with Phosphorothioate or PNA-Based Anti-miRs in Lymphoma Cell Lines.

Karishma Dhuri, Sai Pallavi Pradeep, Jason Shi, Eleni Anastasiadou, Frank J Slack, Anisha Gupta, Xiao-Bo Zhong, Raman Bahal

Open access · greenAbstract read
In one paragraph

Article in Pharmaceutical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  8. miRNA: A Promising Therapeutic Target in Cancer.International journal of molecular sciences · 2022
    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

8 authors at 3 institutions in 1 country.

Karishma DhuriDepartment of Pharmaceutical Science, University of Connecticut, Storrs, CT, 06269, USA.
Sai Pallavi PradeepDepartment of Pharmaceutical Science, University of Connecticut, Storrs, CT, 06269, USA.
Jason ShiDepartment of Pharmaceutical Science, University of Connecticut, Storrs, CT, 06269, USA.
Eleni AnastasiadouHMS Initiative for RNA Medicine, Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02115, USA.
Frank J SlackHMS Initiative for RNA Medicine, Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02115, USA.
Anisha GuptaSchool of Pharmacy, University of Saint Joseph, West Hartford, CT, 06117, USA.
Xiao-Bo ZhongDepartment of Pharmaceutical Science, University of Connecticut, Storrs, CT, 06269, USA.
Raman BahalDepartment of Pharmaceutical Science, University of Connecticut, Storrs, CT, 06269, USA. raman.bahal@uconn.edu.ORCID http://orcid.org/0000-0002-4514-8004
University of Connecticut · USBeth Israel Deaconess Medical Center · USUniversity of Saint Joseph · US

Funding

Precision microRNA medicine in cancerR35CA232105 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SLACK, FRANK J. · 2019 to 2025
$7.2M
The role of lncRNAs in P450-mediated drug metabolism and drug-induced liver injuryR35GM140862 · NIGMS · UNIVERSITY OF CONNECTICUT STORRS · PI ZHONG, XIAO-BO · 2021 to 2025
$2.0M
Targeting microRNAs in the tumor microenvironment with pHLIP conjugated next generation chemically modified PNAsR01CA241194 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SLACK, FRANK J. · 2020 to 2024
$1.9M
NCI NIH HHS R01 CA241194NCI NIH HHS R35 CA232105NIGMS NIH HHS R35 GM140862
6 · The paper itself

Abstract

purposeMicroRNAs (miRNAs) are short (~ 22 nts) RNAs that regulate gene expression via binding to mRNA. MiRNAs promoting cancer are known as oncomiRs. Targeting oncomiRs is an emerging area of cancer therapy. OncomiR-21 and oncomiR-155 are highly upregulated in lymphoma cells, which are dependent on these oncomiRs for survival. Targeting specific miRNAs and determining their effect on cancer cell progression and metastasis have been the focus of various studies. Inhibiting a single miRNA can have a limited effect, as there may be other overexpressed miRNAs present that may promote tumor proliferation. Herein, we target miR-21 and miR-155 simultaneously using nanoparticles delivered two different classes of antimiRs: phosphorothioates (PS) and peptide nucleic acids (PNAs) and compared their efficacy in lymphoma cell lines.

methodsPoly-Lactic-co-Glycolic acid (PLGA) nanoparticles (NPs) containing PS and PNA-based antimiR-21 and -155 were formulated, and comprehensive NP characterizations: morphology (scanning electron microscopy), size (differential light scattering), and surface charge (zeta potential) were performed. Cellular uptake analysis was performed using a confocal microscope and flow cytometry analysis. The oncomiR knockdown and the effect on downstream targets were confirmed by gene expression (real time-polymerase chain reaction) assay.

resultsWe demonstrated that simultaneous targeting with NP delivered PS and PNA-based antimiRs resulted in significant knockdown of miR-21 and miR-155, as well as their downstream target genes followed by reduced cell viability ex vivo.

conclusionsThis project demonstrated that targeting miRNA-155 and miR-21 simultaneously using nanotechnology and a diverse class of antisense oligomers can be used as an effective approach for lymphoma therapy.

Indexed as

LymphomaMicroRNAsPeptide Nucleic AcidsAntagomirsCell LineCell Line, TumorHumansPhosphatesAntagomirsMicroRNAsMIRN155 microRNA, humanPeptide Nucleic AcidsPhosphatesthiophosphoric acidlymphomamicroRNAnanotechnologyoncomiR

Identifiers

PMID36071352
PMCPMC9879158
OpenAlexW4294912274

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.