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

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          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.

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          Most cited references57

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          Global Cancer Statistics 2018: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

          This article provides a status report on the global burden of cancer worldwide using the GLOBOCAN 2018 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer, with a focus on geographic variability across 20 world regions. There will be an estimated 18.1 million new cancer cases (17.0 million excluding nonmelanoma skin cancer) and 9.6 million cancer deaths (9.5 million excluding nonmelanoma skin cancer) in 2018. In both sexes combined, lung cancer is the most commonly diagnosed cancer (11.6% of the total cases) and the leading cause of cancer death (18.4% of the total cancer deaths), closely followed by female breast cancer (11.6%), prostate cancer (7.1%), and colorectal cancer (6.1%) for incidence and colorectal cancer (9.2%), stomach cancer (8.2%), and liver cancer (8.2%) for mortality. Lung cancer is the most frequent cancer and the leading cause of cancer death among males, followed by prostate and colorectal cancer (for incidence) and liver and stomach cancer (for mortality). Among females, breast cancer is the most commonly diagnosed cancer and the leading cause of cancer death, followed by colorectal and lung cancer (for incidence), and vice versa (for mortality); cervical cancer ranks fourth for both incidence and mortality. The most frequently diagnosed cancer and the leading cause of cancer death, however, substantially vary across countries and within each country depending on the degree of economic development and associated social and life style factors. It is noteworthy that high-quality cancer registry data, the basis for planning and implementing evidence-based cancer control programs, are not available in most low- and middle-income countries. The Global Initiative for Cancer Registry Development is an international partnership that supports better estimation, as well as the collection and use of local data, to prioritize and evaluate national cancer control efforts. CA: A Cancer Journal for Clinicians 2018;0:1-31. © 2018 American Cancer Society.
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            MicroRNAs: genomics, biogenesis, mechanism, and function.

            MicroRNAs (miRNAs) are endogenous approximately 22 nt RNAs that can play important regulatory roles in animals and plants by targeting mRNAs for cleavage or translational repression. Although they escaped notice until relatively recently, miRNAs comprise one of the more abundant classes of gene regulatory molecules in multicellular organisms and likely influence the output of many protein-coding genes.
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              Predicting effective microRNA target sites in mammalian mRNAs

              MicroRNA targets are often recognized through pairing between the miRNA seed region and complementary sites within target mRNAs, but not all of these canonical sites are equally effective, and both computational and in vivo UV-crosslinking approaches suggest that many mRNAs are targeted through non-canonical interactions. Here, we show that recently reported non-canonical sites do not mediate repression despite binding the miRNA, which indicates that the vast majority of functional sites are canonical. Accordingly, we developed an improved quantitative model of canonical targeting, using a compendium of experimental datasets that we pre-processed to minimize confounding biases. This model, which considers site type and another 14 features to predict the most effectively targeted mRNAs, performed significantly better than existing models and was as informative as the best high-throughput in vivo crosslinking approaches. It drives the latest version of TargetScan (v7.0; targetscan.org), thereby providing a valuable resource for placing miRNAs into gene-regulatory networks. DOI: http://dx.doi.org/10.7554/eLife.05005.001
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Genes (Basel)
                Genes (Basel)
                genes
                Genes
                MDPI
                2073-4425
                09 February 2021
                February 2021
                : 12
                : 2
                : 245
                Affiliations
                [1 ]Postgraduate in Experimental Biology, DCBS, Autonomous Metropolitan University-Iztapalapa, Iztapalapa, Mexico City C.P. 09340, Mexico; rebe_zoid92@ 123456hotmail.com
                [2 ]Genomics Laboratory, The National Cancer Institute, Tlalpan, Mexico City C.P. 14080, Mexico; jossi_thunders@ 123456hotmail.com (J.C.-H.); izz.waldo11@ 123456gmail.com (I.D.-W.)
                [3 ]Functional Genomics Laboratory, Biomedicine Unit, FES-IZTACALA, UNAM, Tlalnepantla C.P. 54090, Mexico; garciaver@ 123456gmail.com (V.G.-C.); e_urrutia@ 123456unam.mx (E.L.-U.)
                [4 ]Cancer Biomedical Research Unit, Genomics Laboratory, National Cancer Institute, Tlalpan, Mexico City C.P. 14080, Mexico; dfcantu@ 123456gmail.com
                [5 ]Laboratory 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; mcgr@ 123456xanum.uam.mx
                [6 ]Department of Health Sciences, Autonomous Metropolitan University-Iztapalapa, Iztapalapa, Mexico City C.P. 09340, Mexico
                [7 ]Biochemistry Unit, Institute of Medical Sciences and Nutrition, Salvador Zubirán, Tlalpan, Mexico City C.P. 14080, Mexico
                Author notes
                [* ]Correspondence: carlos.pplas@ 123456gmail.com (C.P.-P.); nadia.jacoboh@ 123456incmnsz.mx (N.J.-H.); Tel.: +52-555-628-0400 (C.P.-P.); +52-555-487-0900 (ext. 2608) (N.J.-H.)
                Author information
                https://orcid.org/0000-0002-1289-1213
                https://orcid.org/0000-0002-5307-2003
                https://orcid.org/0000-0003-0501-7226
                https://orcid.org/0000-0002-8593-8211
                https://orcid.org/0000-0002-1026-3774
                Article
                genes-12-00245
                10.3390/genes12020245
                7915601
                33572255
                52235623-1efa-48db-aa88-b46e2085e8ab
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 08 December 2020
                : 01 February 2021
                Categories
                Article

                autophagy,mir-106a,ulk1,colorectal cancer,hct116,sw480,metformin,doxorubicin,sodium oxamate

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