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      Germline single nucleotide polymorphisms in ERBB3 and BARD1 genes result in a worse relapse free survival response for HER2-positive breast cancer patients treated with adjuvant based docetaxel, carboplatin and trastuzumab (TCH)

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          Abstract

          Breast cancer is the leading cause of cancer related deaths in women worldwide and is classified into subtypes based on the cancer’s receptor status. Of these subtypes, those expressing the human epidermal growth factor receptor 2 (HER2) receptor were traditionally associated with poor prognosis. Several advances have been made in the treatment of HER2-positive breast cancer, yet issues of resistance and poor response to therapy remains prevalent. In this study we explored the impact of HER-family and homologous recombination deficiency SNPs on response to patients who received TCH-based (docetaxel (T), carboplatin (C), and trastuzumab (H)) treatment versus those who received other treatment regimens. Using Cox regression analysis, we identified 6 SNPs that correlate with recurrence free survival in our patients and supported our findings using support vector machines. We also used reverse phase protein array analysis to examine the impact ERBB3 SNPs may have on both the PI3K/AKT and MAPK/ERK signaling pathways. Finally, using cell line models, we correlated SNP status with sensitivity to platinum based drugs and docetaxel. We found that patients on a TCH based regimen with the minor allele of the ERBB3 (rs2229046 and rs773123) and BARD1 (rs2070096) SNPs, were significantly more likely to relapse than those women who were not. Additionally, we observed that patients with these ERBB3 SNPs had shown elevated protein expression/phosphorylation of Src kinase, c-MET (Y1234/1235), GSK-3β (S9) and p27, indicating that these SNPs are associated with non-PI3K/AKT signaling. Finally, using cell line models, we demonstrate that the BARD1 SNP (rs2229571) is associated with greater sensitivity to both carboplatin and cisplatin. The BARD1 and ERBB3 SNPs can potentially be used to determine those patients that will have a worse response to TCH based treatment, an effect that may arise from the SNPs impact on altered cellular signaling.

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          Most cited references20

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Oncotator: cancer variant annotation tool.

            Oncotator is a tool for annotating genomic point mutations and short nucleotide insertions/deletions (indels) with variant- and gene-centric information relevant to cancer researchers. This information is drawn from 14 different publicly available resources that have been pooled and indexed, and we provide an extensible framework to add additional data sources. Annotations linked to variants range from basic information, such as gene names and functional classification (e.g. missense), to cancer-specific data from resources such as the Catalogue of Somatic Mutations in Cancer (COSMIC), the Cancer Gene Census, and The Cancer Genome Atlas (TCGA). For local use, Oncotator is freely available as a python module hosted on Github (https://github.com/broadinstitute/oncotator). Furthermore, Oncotator is also available as a web service and web application at http://www.broadinstitute.org/oncotator/.
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              Combating trastuzumab resistance by targeting SRC, a common node downstream of multiple resistance pathways.

              Trastuzumab is a successful rationally designed ERBB2-targeted therapy. However, about half of individuals with ERBB2-overexpressing breast cancer do not respond to trastuzumab-based therapies, owing to various resistance mechanisms. Clinically applicable regimens for overcoming trastuzumab resistance of different mechanisms are not yet available. We show that the nonreceptor tyrosine kinase c-SRC (SRC) is a key modulator of trastuzumab response and a common node downstream of multiple trastuzumab resistance pathways. We find that SRC is activated in both acquired and de novo trastuzumab-resistant cells and uncover a novel mechanism of SRC regulation involving dephosphorylation by PTEN. Increased SRC activation conferred considerable trastuzumab resistance in breast cancer cells and correlated with trastuzumab resistance in patients. Targeting SRC in combination with trastuzumab sensitized multiple lines of trastuzumab-resistant cells to trastuzumab and eliminated trastuzumab-resistant tumors in vivo, suggesting the potential clinical application of this strategy to overcome trastuzumab resistance.
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                Author and article information

                Contributors
                Role: Formal analysisRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: SupervisionRole: Writing – review & editing
                Role: 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
                2 August 2018
                2018
                : 13
                : 8
                : e0200996
                Affiliations
                [1 ] Royal College of Surgeons in Ireland, Data Science Centre, Dublin, Ireland
                [2 ] Dublin City University, National Institute for Cellular Biotechnology, Molecular Therapeutics for Cancer in Ireland, Dublin, Ireland
                [3 ] Royal College of Surgeons in Ireland, Department of Molecular Medicine, Medical Oncology Group, Dublin, Ireland
                [4 ] Royal College of Surgeons in Ireland, Department of Physiology and Medical Physics, Dublin, Ireland
                [5 ] Royal College of Surgeons in Ireland, Department of Pathology, Dublin, Ireland
                [6 ] St Vincent’s University Hospital, Medical Oncology, Dublin, Ireland
                [7 ] Beaumont Hospital, Department of Medical Oncology, Dublin, Ireland
                Fondazione IRCCS Istituto Nazionale dei Tumori, ITALY
                Author notes

                Competing Interests: The TCHL clinical study was sponsored by Cancer Trials Ireland (formerly known as the Irish Clinical Oncology Research Group [ICORG]), which received funding from GlaxoSmithKline. There are no patents, products in development or marketed products to declare. This does not alter our adherence to all the PLOS ONE policies on sharing data and materials.

                ‡ These authors also contributed equally to this work.

                Author information
                http://orcid.org/0000-0002-4011-8965
                Article
                PONE-D-18-04727
                10.1371/journal.pone.0200996
                6071997
                30071039
                6f193238-682e-47c9-93b2-dc223c32c598
                © 2018 Coté et al

                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
                : 12 February 2018
                : 6 July 2018
                Page count
                Figures: 5, Tables: 6, Pages: 17
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100001593, Irish Cancer Society;
                Award ID: CCRC13GAL
                Funded by: funder-id http://dx.doi.org/10.13039/100010414, Health Research Board;
                Award ID: HRA/POR2012/054
                Funded by: North East Cancer Research and Education Trust
                Funded by: funder-id http://dx.doi.org/10.13039/501100001602, Science Foundation Ireland;
                Award ID: 08-SRC-B1410
                The TCHL clinical study was sponsored by Cancer Trials Ireland (formerly known as the Irish Clinical Oncology Research Group [ICORG]), which received funding from GlaxoSmithKline. This work was supported by the Irish Cancer Society Collaborative Cancer Research Centre under BREAST-PREDICT grant CCRC13GAL ( www.breastpredict.com), the Health Research Board (HRA/POR2012/054), the North East Cancer Research and Education Trust, and the Science Foundation Ireland-funded Molecular Therapeutics for Cancer Ireland (08-SRC-B1410). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.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
                Cancer Treatment
                Medicine and Health Sciences
                Oncology
                Cancers and Neoplasms
                Breast Tumors
                Breast Cancer
                Physical Sciences
                Chemistry
                Chemical Elements
                Platinum
                Biology and Life Sciences
                Genetics
                Molecular Genetics
                Biology and Life Sciences
                Molecular Biology
                Molecular Genetics
                Computer and Information Sciences
                Artificial Intelligence
                Machine Learning
                Support Vector Machines
                Biology and Life Sciences
                Biochemistry
                Proteins
                Protein Domains
                Medicine and Health Sciences
                Pharmaceutics
                Drug Therapy
                Medicine and Health Sciences
                Oncology
                Cancer Risk Factors
                Genetic Causes of Cancer
                Custom metadata
                All relevant data are uploaded at Sequence Read Archive under SRA number SRP150438. ( https://trace.ncbi.nlm.nih.gov/Traces/study/?acc=SRP150438&go=go).

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                Uncategorized

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