8
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A Comparative in Silico Analysis of CD24’s Prognostic Value in Human and Canine Prostate Cancer

      research-article

      Read this article at

      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

          CD24 is a cell surface molecule anchored by glycosyl-phosphatidyl-inositol and expressed by different human cancers, including prostate cancer (PC). Some studies have demonstrated that CD24 expression is associated with poor patient outcome; however, few studies have investigated CD24 expression in spontaneous animal models of human PC, such as canine PC. This study aimed to evaluate the expression of CD24 in human PC using the in silico analysis of the data obtained from The Cancer Genome Atlas (TCGA) and comparing it with the previously published prostatic canine transcriptome data. In addition, CD24 expression was confirmed by immunohistochemistry in an independent cohort of canine prostatic samples and its prognostic significance assessed. The systematic review identified 10 publications fitting with the inclusion criteria of this study. Of the 10 manuscripts, 5 demonstrated a direct correlation between CD24 overexpression and patient prognoses. CD24 expression was also associated with PSA relapse (2/5) and tumor progression (1/5). However, the in silico analysis did not validate CD24 as a prognostic factor of human PC. Regarding canine PC, 10 out of 30 normal prostates and 27 out of 40 PC samples were positive for CD24. As in humans, there was no association with overall survival. Overall, our results demonstrated a significant CD24 overexpression in human and canine prostate cancer, although its prognostic value may be questionable. However, tumors overexpressing CD24 may be a reliable model for new target therapies and dogs could be used of a unique preclinical model for these studies.

          Related collections

          Most cited references37

          • Record: found
          • Abstract: found
          • Article: not found

          Proteomics. Tissue-based map of the human proteome.

          Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body. Copyright © 2015, American Association for the Advancement of Science.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

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

            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/.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              SWISS-MODEL: homology modelling of protein structures and complexes

              Abstract Homology modelling has matured into an important technique in structural biology, significantly contributing to narrowing the gap between known protein sequences and experimentally determined structures. Fully automated workflows and servers simplify and streamline the homology modelling process, also allowing users without a specific computational expertise to generate reliable protein models and have easy access to modelling results, their visualization and interpretation. Here, we present an update to the SWISS-MODEL server, which pioneered the field of automated modelling 25 years ago and been continuously further developed. Recently, its functionality has been extended to the modelling of homo- and heteromeric complexes. Starting from the amino acid sequences of the interacting proteins, both the stoichiometry and the overall structure of the complex are inferred by homology modelling. Other major improvements include the implementation of a new modelling engine, ProMod3 and the introduction a new local model quality estimation method, QMEANDisCo. SWISS-MODEL is freely available at https://swissmodel.expasy.org.
                Bookmark

                Author and article information

                Contributors
                Role: Academic Editor
                Role: Academic Editor
                Journal
                J Pers Med
                J Pers Med
                jpm
                Journal of Personalized Medicine
                MDPI
                2075-4426
                23 March 2021
                March 2021
                : 11
                : 3
                : 232
                Affiliations
                [1 ]Department of Veterinary Surgery and Animal Reproduction, Sao Paulo State University-UNESP, Botucatu 18618-681, Brazil; a.leis@ 123456unesp.br (A.F.L.-F.); patricia.lainetti@ 123456unesp.br (P.d.F.L.); mayara.s.franzoni@ 123456unesp.br (M.S.F.)
                [2 ]School of Veterinary Science, Gatton Campus, The University of Queensland-UQ, Brisbane Qld 4343, Australia; c.palmieri@ 123456uq.edu.au
                [3 ]Department of Veterinary Clinic, Sao Paulo State University-UNESP, Botucatu 18618-681, Brazil; priscila.e.kobayashi@ 123456unesp.br (P.E.K.); renee.laufer-amorim@ 123456unesp.br (R.L.-A.)
                [4 ]Laboratório de Patologia, Faculdade de Ensino Superior e Formação Integral-FAEF, Garça 17400-000, Brazil
                [5 ]Institute of Health Sciences, Paulista University–UNIP, Bauru 18618-681, Brazil
                Author notes
                [* ]Correspondence: carlos.e.alves@ 123456unesp.br ; Tel.: +55-143-880-2076
                Author information
                https://orcid.org/0000-0003-4479-1118
                https://orcid.org/0000-0002-5791-6066
                https://orcid.org/0000-0003-4958-5081
                https://orcid.org/0000-0002-8653-7938
                https://orcid.org/0000-0002-6702-6139
                Article
                jpm-11-00232
                10.3390/jpm11030232
                8004660
                33806857
                9cdcb1eb-0464-4f02-8ea9-b1f567815464
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 14 February 2021
                : 19 March 2021
                Categories
                Article

                carcinoma,prostate,cd24,comparative oncology,dog
                carcinoma, prostate, cd24, comparative oncology, dog

                Comments

                Comment on this article