For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
1
views
57
references
 Top references
cited by
4
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      168
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Bioinformatic Analyses and Experimental Verification Reveal that High FSTL3 Expression Promotes EMT via Fibronectin-1/α5β1 Interaction in Colorectal Cancer

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background: Colorectal cancer (CRC) is a typical cancer prevalent worldwide. Despite the conventional treatments, CRC has a poor prognosis due to relapse and metastasis. Moreover, there is a dearth of sensitive biomarkers for predicting prognosis in CRC.

          Methods: This study used a bioinformatics approach combining validation experiments to examine the value of follistatin-like 3 ( FSTL3) as a prognostic predictor and therapeutic target in CRC.

          Results: FSTL3 was remarkably upregulated in the CRC samples. FSTL3 overexpression was significantly associated with a poor prognosis. FSTL3 was found to activate the epithelial-mesenchymal transition by promoting the binding of FN1 to α5β1. FSTL3 expression was also positively correlated with the abundance of the potent immunosuppressors, M2 macrophages.

          Conclusion: FSTL3 overexpression affects CRC prognosis and thus, FSTL3 can be a prognostic biomarker and therapeutic target with potential applications in CRC.

          Related collections

          Most cited references57

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses

          Zefang Tang, Chenwei Li, Boxi Kang … (2017)
          Abstract Tremendous amount of RNA sequencing data have been produced by large consortium projects such as TCGA and GTEx, creating new opportunities for data mining and deeper understanding of gene functions. While certain existing web servers are valuable and widely used, many expression analysis functions needed by experimental biologists are still not adequately addressed by these tools. We introduce GEPIA (Gene Expression Profiling Interactive Analysis), a web-based tool to deliver fast and customizable functionalities based on TCGA and GTEx data. GEPIA provides key interactive and customizable functions including differential expression analysis, profiling plotting, correlation analysis, patient survival analysis, similar gene detection and dimensionality reduction analysis. The comprehensive expression analyses with simple clicking through GEPIA greatly facilitate data mining in wide research areas, scientific discussion and the therapeutic discovery process. GEPIA fills in the gap between cancer genomics big data and the delivery of integrated information to end users, thus helping unleash the value of the current data resources. GEPIA is available at http://gepia.cancer-pku.cn/.
          Article 0 comments Cited 3729 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Enrichr: a comprehensive gene set enrichment analysis web server 2016 update

            Maxim Kuleshov, Matthew Jones, Andrew D. Rouillard … (2016)
            Enrichment analysis is a popular method for analyzing gene sets generated by genome-wide experiments. Here we present a significant update to one of the tools in this domain called Enrichr. Enrichr currently contains a large collection of diverse gene set libraries available for analysis and download. In total, Enrichr currently contains 180 184 annotated gene sets from 102 gene set libraries. New features have been added to Enrichr including the ability to submit fuzzy sets, upload BED files, improved application programming interface and visualization of the results as clustergrams. Overall, Enrichr is a comprehensive resource for curated gene sets and a search engine that accumulates biological knowledge for further biological discoveries. Enrichr is freely available at: http://amp.pharm.mssm.edu/Enrichr.
            Article 0 comments Cited 3015 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells.

              Taiwen Li, Jingyu Fan, Binbin Wang … (2017)
              Recent clinical successes of cancer immunotherapy necessitate the investigation of the interaction between malignant cells and the host immune system. However, elucidation of complex tumor-immune interactions presents major computational and experimental challenges. Here, we present Tumor Immune Estimation Resource (TIMER; cistrome.shinyapps.io/timer) to comprehensively investigate molecular characterization of tumor-immune interactions. Levels of six tumor-infiltrating immune subsets are precalculated for 10,897 tumors from 32 cancer types. TIMER provides 6 major analytic modules that allow users to interactively explore the associations between immune infiltrates and a wide spectrum of factors, including gene expression, clinical outcomes, somatic mutations, and somatic copy number alterations. TIMER provides a user-friendly web interface for dynamic analysis and visualization of these associations, which will be of broad utilities to cancer researchers. Cancer Res; 77(21); e108-10. ©2017 AACR.
              Article 0 comments Cited 2692 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Contributors
                Journal
                Journal ID (nlm-ta): Front Mol Biosci
                Journal ID (iso-abbrev): Front Mol Biosci
                Journal ID (publisher-id): Front. Mol. Biosci.
                Title: Frontiers in Molecular Biosciences
                Publisher: Frontiers Media S.A.
                ISSN (Electronic): 2296-889X
                Publication date (Electronic): 24 November 2021
                Publication date Collection: 2021
                Volume: 8
                Electronic Location Identifier: 762924
                Affiliations
                [ 1 ]Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China
                [ 2 ]No. 1 Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, China
                [ 3 ]Department of Oncology, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Zhangjiagang, China
                Author notes

                Edited by: William C. Cho, QEH, Hong Kong SAR, China

                Reviewed by: Rishi Kumar Jaiswal, Loyola University Chicago, United States

                Amirali Bukhari, University of Alberta, Canada

                *Correspondence: Shenlin Liu, lsljsszyy@ 123456126.com ; Xi Zou, zxvery@ 123456126.com
                [ † ]

                These authors have contributed equally to this work

                This article was submitted to Molecular Diagnostics and Therapeutics, a section of the journal Frontiers in Molecular Biosciences

                Article
                Publisher ID: 762924
                DOI: 10.3389/fmolb.2021.762924
                PMC ID: 8652210
                PubMed ID: 34901156
                SO-VID: c13ef812-c77a-4b8c-96ef-8019ec07e74f
                Copyright © Copyright © 2021 Liu, Li, Zeng, Zhang, Zhang, Jin, Liu and Zou.
                License:

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                Date received : 23 August 2021
                Date accepted : 09 November 2021
                Categories
                Subject: Molecular Biosciences
                Subject: Original Research

                Keywords: colorecal cancer,fstl3 gene,emt—epithelial to mesenchymal transformation,fn1,fibronectin 1,α5β1 integrin,actin, m2 macrophage,prognosis (carcinoma)
                Data availability:
                Keywords: colorecal cancer, fstl3 gene, emt—epithelial to mesenchymal transformation, fn1, fibronectin 1, α5β1 integrin, actin, m2 macrophage, prognosis (carcinoma)

                Comments

                Comment on this article

                scite_

                Similar content168

                See all similar

                Cited by4

                See all cited by

                Most referenced authors754

                See all reference authors