Evidence map›Paper›PMID 33572255›Full record

ArticleGenes2021

Negative Regulation of ULK1 by microRNA-106a in Autophagy Induced by a Triple Drug Combination in Colorectal Cancer Cells

Rebeca Salgado-García, Jossimar Coronel-Hernández, Izamary Delgado-Waldo, David Cantú de León, Verónica García-Castillo, Eduardo López-Urrutia, Ma Concepción Gutiérrez-Ruiz, Carlos Pérez-Plasencia, Nadia Jacobo-Herrera

Open access · goldAbstract read
In one paragraph

Article in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 25 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

9 authors at 3 institutions in 1 country.

Rebeca Salgado-GarcíaPostgraduate in Experimental Biology, DCBS, Autonomous Metropolitan University-Iztapalapa, Iztapalapa, Mexico City C.P. 09340, Mexico.ORCID 0000-0002-1289-1213
Jossimar Coronel-HernándezGenomics Laboratory, The National Cancer Institute, Tlalpan, Mexico City C.P. 14080, Mexico.
Izamary Delgado-WaldoGenomics Laboratory, The National Cancer Institute, Tlalpan, Mexico City C.P. 14080, Mexico.
David Cantú de LeónCancer Biomedical Research Unit, Genomics Laboratory, National Cancer Institute, Tlalpan, Mexico City C.P. 14080, Mexico.
Verónica García-CastilloFunctional Genomics Laboratory, Biomedicine Unit, FES-IZTACALA, UNAM, Tlalnepantla C.P. 54090, Mexico.
Eduardo López-UrrutiaFunctional Genomics Laboratory, Biomedicine Unit, FES-IZTACALA, UNAM, Tlalnepantla C.P. 54090, Mexico.ORCID 0000-0002-5307-2003
Ma Concepción Gutiérrez-RuizLaboratory of Experimental Medicine, Translational Medicine Unit, Institute of Bio-Medical Research, UNAM/National Institute of Cardiology Ignacio Chavez, Tlalpan, Mexico City C.P. 14080, Mexico.ORCID 0000-0003-0501-7226
Carlos Pérez-PlasenciaGenomics Laboratory, The National Cancer Institute, Tlalpan, Mexico City C.P. 14080, Mexico.ORCID 0000-0002-8593-8211
Nadia Jacobo-HerreraBiochemistry Unit, Institute of Medical Sciences and Nutrition, Salvador Zubirán, Tlalpan, Mexico City C.P. 14080, Mexico.ORCID 0000-0002-1026-3774
Autonomous University of Tlaxcala · MXUniversidad Autónoma Metropolitana · MXInstituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is among the top three most deadly cancers worldwide. The survival rate for this disease has not been reduced despite the treatments, the reason why the search for therapeutic alternatives continues to be a priority issue in oncology. In this research work, we tested our successful pharmacological combination of three drugs, metformin, doxorubicin, and sodium oxamate (triple therapy, or TT), as an autophagy inducer. Firstly, we employed western blot (WB) assays, where we observed that after 8 h of stimulation with TT, the proteins Unc-51 like autophagy activating kinase 1(ULK1), becline-1, autophagy related 1 protein (Atg4), and LC3 increased in the CRC cell lines HCT116 and SW480 in contrast to monotherapy with doxorubicin. The overexpression of these proteins indicated the beginning of autophagy flow through the activation of ULK1 and the hyperlipidation of LC3 at the beginning of this process. Moreover, we confirm that ULK1 is a bona fide target of hsa-miR-106a-5p (referred to from here on as miR-106a) in HCT116. We also observed through the GFP-LC3 fusion protein that in the presence of miR-106a, the accumulation of autophagy vesicles in cells stimulated with TT is inhibited. These results show that the TT triggered autophagy to modulate miR-106a/ULK1 expression, probably affecting different cellular pathways involved in cellular proliferation, survivance, metabolic maintenance, and cell death. Therefore, considering the importance of autophagy in cancer biology, the study of miRNAs that regulate autophagy in cancer will allow a better understanding of malignant tumors and lead to the development of new disease markers and therapeutic strategies.

Indexed as

AutophagyAutophagy-Related Protein-1 HomologAutophagy-Related ProteinsBeclin-1Cell ProliferationColorectal NeoplasmsDoxorubicinDrug CombinationsGene Expression Regulation, NeoplasticHCT116 CellsHumansIntracellular Signaling Peptides and ProteinsMetforminMicroRNAsSignal TransductionAutophagy-Related Protein-1 HomologAutophagy-Related ProteinsBeclin-1DoxorubicinDrug CombinationsIntracellular Signaling Peptides and ProteinsMetforminMicroRNAsMIRN106 microRNA, humanULK1 protein, humanautophagycolorectal cancerdoxorubicinHCT116metforminmiR-106asodium oxamateSW480ULK1

Identifiers

PMID33572255
PMCPMC7915601
OpenAlexW3128876098

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.