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      Molecular mechanism of inhibitory effects of melatonin on prostate cancer cell proliferation, migration and invasion

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          Abstract

          The increasing incidence of prostate cancer (PCa) indicates an urgent need for the development of new effective drug therapy. There are limited options to treat the PCa, this study tried to determine a new therapy option for this acute cancer. Androgen-independent PCa cell lines PC3 and DU145 were treated with different melatonin concentrations (0.1~3.5 mM) for 1~3 days and assessed cell migration, cell invasion, cycle arrest in G0/G1 phase as well as apoptosis. We utilized RNA-seq technology to analyze the transcriptional misregulation pathways in DU145 prostate cancer cell line with melatonin (0.5 mM) treatment. Data revealed 20031 genes were up and down-regulated, there were 271 genes that differentially expressed: 97 up-regulated (P<0.05) and 174 down-regulated (P<0.05) genes. Furthermore, RNA-seq results manifested that the melatonin treatment led to a significant increase in the expression levels of HPGD, IL2Rβ, NGFR, however, IGFBP3 and IL6 (P <0.05) had decreased expression levels. The immunoblot assay revealed the expression of IL2Rβ and NGFR genes was up-regulated, qPCR confirmed the gene expression of HPGD and IL2RB were also up-regulated in Du145 cells. Consequently, we probed mechanisms that generate kinetic patterns of NF-κB-dependent gene expression in PCa cells responding to a NF-κB-activation, the significant results were indicated by the inhibition of the NF-kB pathway via IL2Rβ actions. Based on our investigation, it could be concluded that melatonin is a chemotherapeutic molecule against PCa and provides a new idea for clinical therapy of PCa.

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          Most cited references64

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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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            Gene Ontology: tool for the unification of biology

            Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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              Fast gapped-read alignment with Bowtie 2.

              As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Project administrationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Methodology
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                21 January 2022
                2022
                : 17
                : 1
                : e0261341
                Affiliations
                [1 ] Department of Biochemistry and Molecular Biology, School of Life Sciences, Central South University, Changsha, Hunan, China
                [2 ] Key Laboratory of Epigenetics and Oncology, The Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, Sichuan, China
                Universita degli Studi della Campania Luigi Vanvitelli, ITALY
                Author notes

                Competing Interests: The authors declare that they have no competing interests.

                Author information
                https://orcid.org/0000-0001-8867-3792
                Article
                PONE-D-21-21886
                10.1371/journal.pone.0261341
                8782292
                35061708
                a4892417-7501-4fa7-91d3-8516b994ea68
                © 2022 Nyamsambuu et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 5 July 2021
                : 30 November 2021
                Page count
                Figures: 6, Tables: 2, Pages: 20
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100012166, national basic research program of china (973 program);
                Award ID: Grant No. 2011CB910700-704
                Award Recipient :
                The work was supported by the Department of Biochemistry and Molecular Biology, School of Life Sciences, Central South University. And solely funded by the National Basic Research Program of China (Grant No. 2011CB910700-704), the funding body helped to interpret the data and guided in preparing the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Biochemistry
                Hormones
                Melatonin
                Medicine and Health Sciences
                Oncology
                Cancers and Neoplasms
                Genitourinary Tract Tumors
                Prostate Cancer
                Medicine and Health Sciences
                Urology
                Prostate Diseases
                Prostate Cancer
                Medicine and Health Sciences
                Oncology
                Cancer Treatment
                Research and analysis methods
                Biological cultures
                Cell lines
                DU145 cells
                Biology and Life Sciences
                Genetics
                Gene Expression
                Biology and Life Sciences
                Cell Biology
                Cell Processes
                Cell Death
                Apoptosis
                Biology and life sciences
                Genetics
                Gene expression
                Gene regulation
                Small interfering RNA
                Biology and life sciences
                Biochemistry
                Nucleic acids
                RNA
                Non-coding RNA
                Small interfering RNA
                Biology and Life Sciences
                Cell Biology
                Cell Motility
                Cell Migration
                Cancer Cell Migration
                Biology and Life Sciences
                Developmental Biology
                Cell Migration
                Cancer Cell Migration
                Custom metadata
                All relevant data are within the Supporting information files.

                Uncategorized
                Uncategorized

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