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      Long non-coding RNA CASC9/microRNA-590-3p axis participates in lutein-mediated suppression of breast cancer cell proliferation

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          Abstract

          Previous studies have shown that lutein can inhibit the proliferation of breast cancer cells. However, the mechanism of lutein inhibiting the proliferation of breast cancer cells remains unclear. The present study aimed to determine whether the long non-coding RNA (lncRNA) Cancer Susceptibility 9 (CASC9)/microRNA (miR)-590-3p axis participates in the antiproliferative effects of lutein via lncRNA microarray hybridization, reverse transcription-quantitative PCR, dual-luciferase reporter and MTT assays. The results demonstrated that CASC9 was the most significantly downregulated lncRNA in MCF7 cells treated with lutein. miR-590-3p was identified as the target of CASC9. In addition, lutein downregulated CASC9 expression and upregulated miR-590-3p expression in dose- and time-dependent manners, respectively. CASC9 knockdown or overexpression of miR-590-3p inhibited the proliferation of breast cancer cells. Notably, simultaneous transfection with miR-590-3p mimics and CASC9 small interfering RNA increased the potency of lutein in inhibiting the proliferation of breast cancer cells. Taken together, these results suggest that the CASC9/miR-590-3p axis participates in the antiproliferative effects of lutein on breast cancer.

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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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            Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

            The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantification and relative quantification. Absolute quantification determines the input copy number, usually by relating the PCR signal to a standard curve. Relative quantification relates the PCR signal of the target transcript in a treatment group to that of another sample such as an untreated control. The 2(-Delta Delta C(T)) method is a convenient way to analyze the relative changes in gene expression from real-time quantitative PCR experiments. The purpose of this report is to present the derivation, assumptions, and applications of the 2(-Delta Delta C(T)) method. In addition, we present the derivation and applications of two variations of the 2(-Delta Delta C(T)) method that may be useful in the analysis of real-time, quantitative PCR data. Copyright 2001 Elsevier Science (USA).
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              Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012.

              Estimates of the worldwide incidence and mortality from 27 major cancers and for all cancers combined for 2012 are now available in the GLOBOCAN series of the International Agency for Research on Cancer. We review the sources and methods used in compiling the national cancer incidence and mortality estimates, and briefly describe the key results by cancer site and in 20 large "areas" of the world. Overall, there were 14.1 million new cases and 8.2 million deaths in 2012. The most commonly diagnosed cancers were lung (1.82 million), breast (1.67 million), and colorectal (1.36 million); the most common causes of cancer death were lung cancer (1.6 million deaths), liver cancer (745,000 deaths), and stomach cancer (723,000 deaths). © 2014 UICC.
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                Author and article information

                Journal
                Oncol Lett
                Oncol Lett
                OL
                Oncology Letters
                D.A. Spandidos
                1792-1074
                1792-1082
                July 2021
                20 May 2021
                20 May 2021
                : 22
                : 1
                : 544
                Affiliations
                [1 ]Department of Biochemistry and Molecular Biology, Shangqiu Medical College, Shangqiu, Henan 476100, P.R. China
                [2 ]Department of Medical College, Shangqiu Institute of Technology, Shangqiu, Henan 476400, P.R. China
                [3 ]Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, P.R. China
                Author notes
                Correspondence to: Professor Shanfeng Zhang, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Zhengzhou University, 100 Kexue Road, Zhengzhou, Henan 450001, P.R. China, E-mail: zsf@ 123456zzu.edu.cn
                [*]

                Contributed equally

                Article
                OL-0-0-12805
                10.3892/ol.2021.12805
                8161424
                6100c7f6-fb34-4810-84cb-824fd961cfaa
                Copyright: © Zhang et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

                History
                : 20 November 2020
                : 23 April 2021
                Funding
                Funded by: key Science and Technology project of Henan Province
                Award ID: 192102310093
                The present study was supported by the key Science and Technology project of Henan Province (grant no. 192102310093).
                Categories
                Articles

                Oncology & Radiotherapy
                lutein,proliferation,long non-coding rna,breast cancer,microrna-590-3p
                Oncology & Radiotherapy
                lutein, proliferation, long non-coding rna, breast cancer, microrna-590-3p

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