Evidence map›Paper›PMID 34307654›Full record

ArticleBioMed research international2021

Exosomes of Mesenchymal Stem Cells as a Proper Vehicle for Transfecting miR-145 into the Breast Cancer Cell Line and Its Effect on Metastasis.

Mohsen Sheykhhasan, Naser Kalhor, Azar Sheikholeslami, Masoumeh Dolati, Elaheh Amini, Hoda Fazaeli

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

38 citing papers in PubMed, 61 citations in OpenAlex.

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    Article
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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

6 authors at 3 institutions in 1 country.

Mohsen SheykhhasanDepartment of Mesenchymal Stem Cells, Academic Center for Education, Culture and Research (ACECR), Qom Branch, Qom, Iran.ORCID https://orcid.org/0000-0002-2522-4292
Naser KalhorDepartment of Mesenchymal Stem Cells, Academic Center for Education, Culture and Research (ACECR), Qom Branch, Qom, Iran.ORCID https://orcid.org/0000-0001-8870-8035
Azar SheikholeslamiDepartment of Mesenchymal Stem Cells, Academic Center for Education, Culture and Research (ACECR), Qom Branch, Qom, Iran.ORCID https://orcid.org/0000-0001-8277-6539
Masoumeh DolatiCellular and Molecular Research Center, Qom University of Medical Sciences, Qom, Iran.ORCID https://orcid.org/0000-0003-3396-0887
Elaheh AminiDepartment of Cellular & Molecular Biology, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran.ORCID https://orcid.org/0000-0002-0951-4572
Hoda FazaeliDepartment of Mesenchymal Stem Cells, Academic Center for Education, Culture and Research (ACECR), Qom Branch, Qom, Iran.ORCID https://orcid.org/0000-0003-4724-2106
Academic Center for Education, Culture and Research · IRKharazmi University · IRQom University of Medical Science and Health Services · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite recent advances in scientific knowledge and clinical practice, management, and treatment of breast cancer, as one of the leading causes of female mortality, breast cancer remains a major burden. Recently, methods employing stem cells and their derivatives, i.e., exosomes, in gene-based therapies hold great promise. Since these natural nanovesicles are able to transmit crucial cellular information which can be engineered to have robust delivery and targeting capacity, they are considered one of the modes of intercellular communication. miR-145, one of the downregulated microRNAs (miRNAs) in various cancers, can regulate tumor cell invasion, metastasis, apoptosis, and proliferation and stem cell differentiation.

objectivesThe aim of this study was to investigate the role of exosomes secreted from adipose tissue-derived mesenchymal stem cells (MSCs) for miR-145 transfection into breast cancer cells in order to weaken their expansion and metastasis.

methodsHere, we exploited the exosomes from adipose tissue-derived mesenchymal stem cells (MSC-Exo) to deliver miR-145 in the T-47D breast cancer cell line. Lentiviral vectors of miR-145-pLenti-III-enhanced green fluorescent protein (eGFP) and empty pLenti-III-eGFP as the backbone were used to transfect MSCs and T-47D cells. In order to find the efficiency of exosomes as a delivery vehicle, the expression level of some miR-145 target genes, including Rho-Associated Coiled-Coil Containing Protein Kinase 1 (ROCK1), Erb-B2 Receptor Tyrosine Kinase 2 (ERBB2), Matrix Metalloproteinase 9 (MMP9), and Tumor Protein p53 (TP53), was compared in all treatment groups (T-47D cells treated by miR-145-transfected MSCs and their derivatives or their backbone) and control group (untransfected T-47D cells) using real-time PCR.

resultsThe obtained data represented the inhibitory effect of miR-145 on apoptosis induction and metastasis in both direct miR-treated groups. However, exosome-mediated delivery caused an improved anticancer property of miR-145.

conclusionRestoration of miR-145 using MSC-Exo can be considered a potential novel therapeutic strategy in breast cancer in the future.

Indexed as

TransfectionAdipose TissueBreast NeoplasmsCell Line, TumorErb-b2 Receptor Tyrosine KinasesExosomesFemaleGene Expression Regulation, NeoplasticHumansMatrix Metalloproteinase 9Mesenchymal Stem CellsMicroRNAsNeoplasm Metastasisrho-Associated KinasesTumor Suppressor Protein p53ERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesMatrix Metalloproteinase 9MicroRNAsMIRN145 microRNA, humanrho-Associated KinasesROCK1 protein, humanTumor Suppressor Protein p53

Identifiers

PMID34307654
PMCPMC8263260
OpenAlexW3175685654

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.