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      RNA-binding protein CELF2 inhibits breast cancer cell invasion and angiogenesis by downregulating NFATc1

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          Abstract

          Breast cancer constitutes a major cause of morbidity and mortality among women in China and worldwide. The aim of the present study was to investigate whether CUGBP Elav-like family member 2 (CELF2) could inhibit breast cancer cell invasion and angiogenesis by downregulating nuclear factor of activated T cells 1 (NFATc1) expression. The expression of CELF2 and NFATc1 in breast cancer cells and tissues was detected by reverse transcription-quantitative PCR analysis. H&E staining was used to assess the number of microvessels in tumor tissue. The expression of proteins associated with invasion and angiogenesis and NFATc1 in tumor tissues and transfected cells was examined by western blotting. RNA pull-down assay was used to verify the interaction between CELF2 and NFATc1. Cell proliferation, invasion and tube-forming ability was analyzed using Cell Counting Kit-8, Transwell and HUVEC tube formation assays, respectively. CELF2 expression was found to be decreased in breast cancer cells, whereas CELF2 overexpression suppressed the proliferation and invasion of breast cancer cells and inhibited tumor growth and angiogenesis. Furthermore, CELF2 overexpression decreased the expression of N-cadherin (N-cad), CD34 and NFATc1 in tumor tissues, whereas NEAFc1 overexpression increased the expression of N-cad and NFATc1 in MCF cells transfected with OverExp-CELF2. CELF2 was found to be inversely associated with NFATc1, and NFATc1 overexpression reversed the effects of CELF2 overexpression. In conclusion, the findings of the present study demonstrated that CELF2 may inhibit breast cancer cell invasion and angiogenesis by downregulating NFATc1.

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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 statistics, 2020

            Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths that will occur in the United States and compiles the most recent data on population-based cancer occurrence. Incidence data (through 2016) were collected by the Surveillance, Epidemiology, and End Results Program; the National Program of Cancer Registries; and the North American Association of Central Cancer Registries. Mortality data (through 2017) were collected by the National Center for Health Statistics. In 2020, 1,806,590 new cancer cases and 606,520 cancer deaths are projected to occur in the United States. The cancer death rate rose until 1991, then fell continuously through 2017, resulting in an overall decline of 29% that translates into an estimated 2.9 million fewer cancer deaths than would have occurred if peak rates had persisted. This progress is driven by long-term declines in death rates for the 4 leading cancers (lung, colorectal, breast, prostate); however, over the past decade (2008-2017), reductions slowed for female breast and colorectal cancers, and halted for prostate cancer. In contrast, declines accelerated for lung cancer, from 3% annually during 2008 through 2013 to 5% during 2013 through 2017 in men and from 2% to almost 4% in women, spurring the largest ever single-year drop in overall cancer mortality of 2.2% from 2016 to 2017. Yet lung cancer still caused more deaths in 2017 than breast, prostate, colorectal, and brain cancers combined. Recent mortality declines were also dramatic for melanoma of the skin in the wake of US Food and Drug Administration approval of new therapies for metastatic disease, escalating to 7% annually during 2013 through 2017 from 1% during 2006 through 2010 in men and women aged 50 to 64 years and from 2% to 3% in those aged 20 to 49 years; annual declines of 5% to 6% in individuals aged 65 years and older are particularly striking because rates in this age group were increasing prior to 2013. It is also notable that long-term rapid increases in liver cancer mortality have attenuated in women and stabilized in men. In summary, slowing momentum for some cancers amenable to early detection is juxtaposed with notable gains for other common cancers.
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              Cancer statistics in China, 2015.

              With increasing incidence and mortality, cancer is the leading cause of death in China and is a major public health problem. Because of China's massive population (1.37 billion), previous national incidence and mortality estimates have been limited to small samples of the population using data from the 1990s or based on a specific year. With high-quality data from an additional number of population-based registries now available through the National Central Cancer Registry of China, the authors analyzed data from 72 local, population-based cancer registries (2009-2011), representing 6.5% of the population, to estimate the number of new cases and cancer deaths for 2015. Data from 22 registries were used for trend analyses (2000-2011). The results indicated that an estimated 4292,000 new cancer cases and 2814,000 cancer deaths would occur in China in 2015, with lung cancer being the most common incident cancer and the leading cause of cancer death. Stomach, esophageal, and liver cancers were also commonly diagnosed and were identified as leading causes of cancer death. Residents of rural areas had significantly higher age-standardized (Segi population) incidence and mortality rates for all cancers combined than urban residents (213.6 per 100,000 vs 191.5 per 100,000 for incidence; 149.0 per 100,000 vs 109.5 per 100,000 for mortality, respectively). For all cancers combined, the incidence rates were stable during 2000 through 2011 for males (+0.2% per year; P = .1), whereas they increased significantly (+2.2% per year; P < .05) among females. In contrast, the mortality rates since 2006 have decreased significantly for both males (-1.4% per year; P < .05) and females (-1.1% per year; P < .05). Many of the estimated cancer cases and deaths can be prevented through reducing the prevalence of risk factors, while increasing the effectiveness of clinical care delivery, particularly for those living in rural areas and in disadvantaged populations.
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                Author and article information

                Journal
                Exp Ther Med
                Exp Ther Med
                ETM
                Experimental and Therapeutic Medicine
                D.A. Spandidos
                1792-0981
                1792-1015
                August 2021
                23 June 2021
                23 June 2021
                : 22
                : 2
                : 898
                Affiliations
                [1 ]Department of The Second Section Office of Breast Tumor, Jilin Cancer Hospital, Changchun, Jilin 130000, P.R. China
                [2 ]Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China
                Author notes
                Correspondence to: Dr Xiju Xie, Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, 368 Jiangdong North Road, Nanjing, Jiangsu 210029, P.R. China xiju_xie@ 123456163.com
                Article
                ETM-0-0-10330
                10.3892/etm.2021.10330
                8243341
                34257711
                e7e3415e-3467-40d5-9a3f-e4738fd9b9eb
                Copyright: © Zhou 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 October 2020
                : 24 May 2021
                Funding
                Funding: No funding was received.
                Categories
                Articles

                Medicine
                cugbp elav-like family member 2,breast cancer,invasion,angiogenesis,nuclear factor of activated t cells 1

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