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      Secretome analysis reveals upregulated granzyme B in human androgen-repressed prostate cancer cells with mesenchymal and invasive phenotype

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      PLoS ONE
      Public Library of Science

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          Abstract

          Epithelial-mesenchymal transition (EMT) is a critical early step in cancer metastasis and a complex process that involves multiple factors. In this study, we used proteomics approaches to investigate the secreted proteins (secretome) of paired human androgen-repressed prostate cancer (ARCaP) cell lines, representing the epithelial (ARCaP-E) and mesenchymal (ARCaP-M) phenotypes. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) analyses showed high levels of proteins involved in bone remodeling and extracellular matrix degradation in the ARCaP-M cells, consistent with the bone metastasis phenotype. Furthermore, LC-MS/MS showed a significantly higher level of the serine protease granzyme B (GZMB) in ARCaP-M conditioned media (CM) compared to that of ARCaP-E. Using quantitative reverse-transcriptase polymerase chain reaction (qRT-PCR) to detect mRNA and Western blot to detect protein expression, we further demonstrated that the GZMB gene was expressed by ARCaP-M and the protein was secreted extracellularly. ARCaP-M cells with GZMB gene knockdown using small interfering RNA (siRNA) have markedly reduced invasiveness as demonstrated by the Matrigel invasion assay in comparison with the scrambled siRNA negative control. This study reports that GZMB secretion by mesenchymal-like androgen-repressed human prostate cancer cells promotes invasion, suggesting a possible extracellular role for GZMB in addition to its classic role in immune cell-mediated cytotoxicity.

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          The immune contexture in human tumours: impact on clinical outcome.

          Tumours grow within an intricate network of epithelial cells, vascular and lymphatic vessels, cytokines and chemokines, and infiltrating immune cells. Different types of infiltrating immune cells have different effects on tumour progression, which can vary according to cancer type. In this Opinion article we discuss how the context-specific nature of infiltrating immune cells can affect the prognosis of patients.
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            Empirical Statistical Model To Estimate the Accuracy of Peptide Identifications Made by MS/MS and Database Search

            We present a statistical model to estimate the accuracy of peptide assignments to tandem mass (MS/MS) spectra made by database search applications such as SEQUEST. Employing the expectation maximization algorithm, the analysis learns to distinguish correct from incorrect database search results, computing probabilities that peptide assignments to spectra are correct based upon database search scores and the number of tryptic termini of peptides. Using SEQUEST search results for spectra generated from a sample of known protein components, we demonstrate that the computed probabilities are accurate and have high power to discriminate between correctly and incorrectly assigned peptides. This analysis makes it possible to filter large volumes of MS/MS database search results with predictable false identification error rates and can serve as a common standard by which the results of different research groups are compared.
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              Mutation selection and the natural history of cancer.

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                7 August 2020
                2020
                : 15
                : 8
                : e0237222
                Affiliations
                [1 ] Department of Chemistry and Biochemistry, Florida State University, Tallahassee, Florida, United States of America
                [2 ] Institute of Molecular Biophysics, Florida State University, Tallahassee, Florida, United States of America
                MAHSA University, Malaysia, MALAYSIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-1551-8887
                http://orcid.org/0000-0001-8828-0569
                Article
                PONE-D-19-35455
                10.1371/journal.pone.0237222
                7413421
                32764784
                80788ae1-9fb0-4b87-af6f-4ec2364f6deb
                © 2020 Bou-Dargham, Amy Sang

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 22 December 2019
                : 22 July 2020
                Page count
                Figures: 5, Tables: 1, Pages: 12
                Funding
                This work was supported in part by CRC Multidisciplinary Support (MDS) grant from the Florida State University and an Endowed Chair Professorship in Cancer Research from anonymous donors to QXAS. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Oncology
                Cancers and Neoplasms
                Genitourinary Tract Tumors
                Prostate Cancer
                Medicine and Health Sciences
                Urology
                Prostate Diseases
                Prostate Cancer
                Biology and life sciences
                Genetics
                Gene expression
                Gene regulation
                Small interfering RNA
                Biology and life sciences
                Biochemistry
                Nucleic acids
                RNA
                Non-coding RNA
                Small interfering RNA
                Medicine and Health Sciences
                Oncology
                Metastasis
                Medicine and Health Sciences
                Oncology
                Basic Cancer Research
                Metastasis
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Transfection
                Research and Analysis Methods
                Molecular Biology Techniques
                Transfection
                Biology and Life Sciences
                Biochemistry
                Proteins
                Extracellular Matrix Proteins
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Artificial Gene Amplification and Extension
                Polymerase Chain Reaction
                Research and Analysis Methods
                Molecular Biology Techniques
                Artificial Gene Amplification and Extension
                Polymerase Chain Reaction
                Biology and Life Sciences
                Physiology
                Physiological Processes
                Secretion
                Biology and Life Sciences
                Genetics
                Gene Expression
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

                Uncategorized
                Uncategorized

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