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      OncoTargets and Therapy (submit here)

      This international, peer-reviewed Open Access journal by Dove Medical Press focuses on the pathological basis of cancers, potential targets for therapy and treatment protocols to improve the management of cancer patients. Publishing high-quality, original research on molecular aspects of cancer, including the molecular diagnosis, since 2008. Sign up for email alerts here. 50,877 Monthly downloads/views I 4.345 Impact Factor I 7.0 CiteScore I 0.81 Source Normalized Impact per Paper (SNIP) I 0.811 Scimago Journal & Country Rank (SJR)

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      FSTL3 is a Prognostic Biomarker in Gastric Cancer and is Correlated with M2 Macrophage Infiltration

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          Abstract

          Purpose

          Follistatin-related gene 3 ( FSTL3), an established oncogene, can modulate target gene expression via members of the transforming growth factor β (TGF-β) superfamily. The present study was conducted to evaluate the expression of FSTL3 in gastric cancer (GC) and to determine its prognostic significance. We also evaluated the possible mechanisms involved in the oncogenic role of FSTL3 in gastric carcinogenesis and development.

          Methods

          We obtained data from the Human Protein Atlas, MethSurv, cBioPortal, UALCAN, TIMER, GEPIA, STRING, GeneMANIA, ONCOMINE, and MEXPRESS databases and examined it using R software. RNAi was used to establish stable FSTL3-knockdown (shFSTL3) and overexpression (OE) cell strains. Western blot; enzyme-linked immunosorbent (ELISA); and immunohistochemical (ICH), immunofluorescence, and phalloidin staining were used for examining protein expression. Cell invasion and migration were determined using transwell and scratch-wound assays. After tumor-associated macrophage (TAM) generation, co-culturing of cancer cells with TAMs was performed to confirm the relationship between FSTL3 and TAMs.

          Results

          In GC patients, FSTL3 mRNA and protein levels were upregulated. FSTL3 expression was significantly linked to cancer stage as well as to pathological tumor grade in GC. Moreover, a high expression of FSTL3 was associated with a dismal survival duration in patients with GC. Furthermore, functional enrichment analysis demonstrated that FSTL3 overexpression could activate epithelial–mesenchymal transition (EMT) by promoting F-actin expression and BMP/SMAD signaling. Finally, immunofluorescence staining confirmed that the overexpression of FSTL3 promoted the proliferation of M2 TAMs.

          Conclusion

          Taken together, our findings suggest that FSTL3 may be involved in GC progression via the promotion of BMP/SMAD signaling-mediated EMT and M2 macrophage activation.

          Most cited references49

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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 set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

            Although genomewide RNA expression analysis has become a routine tool in biomedical research, extracting biological insight from such information remains a major challenge. Here, we describe a powerful analytical method called Gene Set Enrichment Analysis (GSEA) for interpreting gene expression data. The method derives its power by focusing on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation. We demonstrate how GSEA yields insights into several cancer-related data sets, including leukemia and lung cancer. Notably, where single-gene analysis finds little similarity between two independent studies of patient survival in lung cancer, GSEA reveals many biological pathways in common. The GSEA method is embodied in a freely available software package, together with an initial database of 1,325 biologically defined gene sets.
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              Metascape provides a biologist-oriented resource for the analysis of systems-level datasets

              A critical component in the interpretation of systems-level studies is the inference of enriched biological pathways and protein complexes contained within OMICs datasets. Successful analysis requires the integration of a broad set of current biological databases and the application of a robust analytical pipeline to produce readily interpretable results. Metascape is a web-based portal designed to provide a comprehensive gene list annotation and analysis resource for experimental biologists. In terms of design features, Metascape combines functional enrichment, interactome analysis, gene annotation, and membership search to leverage over 40 independent knowledgebases within one integrated portal. Additionally, it facilitates comparative analyses of datasets across multiple independent and orthogonal experiments. Metascape provides a significantly simplified user experience through a one-click Express Analysis interface to generate interpretable outputs. Taken together, Metascape is an effective and efficient tool for experimental biologists to comprehensively analyze and interpret OMICs-based studies in the big data era.
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                Author and article information

                Journal
                Onco Targets Ther
                Onco Targets Ther
                ott
                ott
                OncoTargets and therapy
                Dove
                1178-6930
                06 July 2021
                2021
                : 14
                : 4099-4117
                Affiliations
                [1 ]Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine , Nanjing, Jiangsu, 210029, People’s Republic of China
                [2 ]No. 1 Clinical Medical College, Nanjing University of Chinese Medicine , Nanjing, Jiangsu, 210023, People’s Republic of China
                [3 ]Department of Oncology, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine , Zhangjiagang, Jiangsu, 215600, People’s Republic of China
                Author notes
                Correspondence: Shen-Lin Liu; Xi Zou Email zxvery@126.com; lsljsszyy@126.com
                Article
                314561
                10.2147/OTT.S314561
                8274543
                34262295
                8c96691c-de50-479a-ab98-7e2ea73c8e70
                © 2021 Liu et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 09 April 2021
                : 22 June 2021
                Page count
                Figures: 10, References: 50, Pages: 19
                Categories
                Original Research

                Oncology & Radiotherapy
                fstl3,biomarker,gastric cancer,emt,m2 macrophages
                Oncology & Radiotherapy
                fstl3, biomarker, gastric cancer, emt, m2 macrophages

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