Evidence map›Paper›PMID 37987362›Full record

ArticleNon-coding RNA2023

Organotypic 3D Cell-Architecture Impacts the Expression Pattern of miRNAs-mRNAs Network in Breast Cancer SKBR3 Cells.

María de Los Ángeles Gastélum-López, Maribel Aguilar-Medina, Cristina García Mata, Jorge López-Gutiérrez, Geovanni Romero-Quintana, Mercedes Bermúdez, Mariana Avendaño-Felix, César López-Camarillo, Carlos Pérez-Plascencia, Adriana S Beltrán and 1 more

Open access · goldAbstract read
In one paragraph

Article in Non-coding RNA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

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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

11 authors at 5 institutions in 2 countries.

María de Los Ángeles Gastélum-LópezFaculty of Biological and Chemical Sciences, Autonomous University of Sinaloa, Josefa Ortiz de Domínguez s/n y Avenida de las Américas, Culiacan 80013, Sinaloa, Mexico.
Maribel Aguilar-MedinaFaculty of Biological and Chemical Sciences, Autonomous University of Sinaloa, Josefa Ortiz de Domínguez s/n y Avenida de las Américas, Culiacan 80013, Sinaloa, Mexico.
Cristina García MataFaculty of Biological and Chemical Sciences, Autonomous University of Sinaloa, Josefa Ortiz de Domínguez s/n y Avenida de las Américas, Culiacan 80013, Sinaloa, Mexico.
Jorge López-GutiérrezFaculty of Biological and Chemical Sciences, Autonomous University of Sinaloa, Josefa Ortiz de Domínguez s/n y Avenida de las Américas, Culiacan 80013, Sinaloa, Mexico.
Geovanni Romero-QuintanaFaculty of Biological and Chemical Sciences, Autonomous University of Sinaloa, Josefa Ortiz de Domínguez s/n y Avenida de las Américas, Culiacan 80013, Sinaloa, Mexico.ORCID 0000-0003-2646-106X
Mercedes BermúdezFaculty of Dentistry, Autonomous University of Chihuahua, Av. Escorza No. 900, Centro, Chihuahua 31125, Chihuahua, Mexico.ORCID 0000-0002-6145-1134
Mariana Avendaño-FelixFaculty of Biological and Chemical Sciences, Autonomous University of Sinaloa, Josefa Ortiz de Domínguez s/n y Avenida de las Américas, Culiacan 80013, Sinaloa, Mexico.ORCID 0000-0003-0223-4823
César López-CamarilloPostgraduate in Genomic Sciences, Autonomous University of Mexico City, San Lorenzo 290, Col del Valle, Mexico City 03100, Mexico.ORCID 0000-0002-9417-2609
Carlos Pérez-PlascenciaNational Cancer Institute, Av. San Fernando 22, Belisario Domínguez Sec. 16, Tlalpan, Mexico City 14080, Mexico.ORCID 0000-0002-8593-8211
Adriana S BeltránHuman Pluripotent Stem Cell Core, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.ORCID 0000-0002-7774-3190
Rosalío Ramos-PayánFaculty of Biological and Chemical Sciences, Autonomous University of Sinaloa, Josefa Ortiz de Domínguez s/n y Avenida de las Américas, Culiacan 80013, Sinaloa, Mexico.ORCID 0000-0001-7500-7571
Universidad Autónoma de Sinaloa · MXAutonomous University of Chihuahua · MXAutonomous University of Tlaxcala · MXUniversidad Nacional Autónoma de México · MXUniversity of North Carolina at Chapel Hill · US

Funding

Consejo Nacional de Ciencia y Tecnología F003 #51207/2020PROFAPI-UAS PRO-A3-019
6 · The paper itself

Abstract

backgroundCurrently, most of the research on breast cancer has been carried out in conventional two-dimensional (2D) cell cultures due to its practical benefits, however, the three-dimensional (3D) cell culture is becoming the model of choice in cancer research because it allows cell-cell and cell-extracellular matrix (ECM) interactions, mimicking the native microenvironment of tumors in vivo.

methodsIn this work, we evaluated the effect of 3D cell organization on the expression pattern of miRNAs (by Small-RNAseq) and mRNAs (by microarrays) in the breast cancer SKBR3 cell line and analyzed the biological processes and signaling pathways regulated by the differentially expressed protein-coding genes (DE-mRNAs) and miRNAs (DE-microRNAs) found in the organoids.

resultsWe obtained well-defined cell-aggregated organoids with a grape cluster-like morphology with a size up to 9.2 × 10

conclusionThe organotypic 3D cell-organization architecture of breast cancer SKBR3 cells impacts the expression pattern of the miRNAs-mRNAs network mainly through overexpression of hsa-mir-122-5p, hsa-mir-369-3p, and hsa-mir-10b-5p. All these findings suggest that the interaction between cell-cell and cell-ECM as well as the change in the culture architecture impacts gene expression, and, therefore, support the pertinence of migrating breast cancer research from conventional cultures to 3D models.

Indexed as

2D cell culture3D cell culturebreast cancermicroRNAsorganotypic 3D cell culture

Identifiers

PMID37987362
PMCPMC10661268
OpenAlexW4387958330

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.