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      LSD1 Overexpression Is Associated with Poor Prognosis in Basal-Like Breast Cancer, and Sensitivity to PARP Inhibition

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          Abstract

          LSD1, a lysine-specific histone demethylase, is overexpressed in several types of cancers and linked to poor outcomes. In breast cancer, the significance of LSD1 overexpression is not clear. We have performed an in silico analysis to assess the relationship of LSD1 expression to clinical outcome. We demonstrate that LSD1 overexpression is a poor prognostic factor in breast cancer, especially in basal-like breast cancer, a subtype of breast cancer with aggressive clinical features. This link is also observed in samples of triple negative breast cancer. Interestingly, we note that overexpression of LSD1 correlates with down-regulation of BRCA1 in triple negative breast cancer. This phenomenon is also observed in in vitro models of basal-like breast cancer, and is associated with an increased sensitivity to PARP inhibitors. We propose therefore that high expression levels of the demethylase LSD1 is a potential prognostic factor of poor outcome in basal-like breast cancer, and that PARP inhibition may be a therapeutic strategy of interest in this poor prognostic subtype with overexpression of LSD1.

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          Most cited references11

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          Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts

          Introduction Adjuvant breast cancer therapy significantly improves survival, but overtreatment and undertreatment are major problems. Breast cancer expression profiling has so far mainly been used to identify women with a poor prognosis as candidates for adjuvant therapy but without demonstrated value for therapy prediction. Methods We obtained the gene expression profiles of 159 population-derived breast cancer patients, and used hierarchical clustering to identify the signature associated with prognosis and impact of adjuvant therapies, defined as distant metastasis or death within 5 years. Independent datasets of 76 treated population-derived Swedish patients, 135 untreated population-derived Swedish patients and 78 Dutch patients were used for validation. The inclusion and exclusion criteria for the studies of population-derived Swedish patients were defined. Results Among the 159 patients, a subset of 64 genes was found to give an optimal separation of patients with good and poor outcomes. Hierarchical clustering revealed three subgroups: patients who did well with therapy, patients who did well without therapy, and patients that failed to benefit from given therapy. The expression profile gave significantly better prognostication (odds ratio, 4.19; P = 0.007) (breast cancer end-points odds ratio, 10.64) compared with the Elston–Ellis histological grading (odds ratio of grade 2 vs 1 and grade 3 vs 1, 2.81 and 3.32 respectively; P = 0.24 and 0.16), tumor stage (odds ratio of stage 2 vs 1 and stage 3 vs 1, 1.11 and 1.28; P = 0.83 and 0.68) and age (odds ratio, 0.11; P = 0.55). The risk groups were consistent and validated in the independent Swedish and Dutch data sets used with 211 and 78 patients, respectively. Conclusion We have identified discriminatory gene expression signatures working both on untreated and systematically treated primary breast cancer patients with the potential to spare them from adjuvant therapy.
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            Molecular classification and molecular forecasting of breast cancer: ready for clinical application?

            Profiling breast cancer with expression arrays has become common, and it has been suggested that the results from early studies will lead to understanding of the molecular differences between clinical cases and allow individualization of care. We critically review two main applications of expression profiling; studies unraveling novel breast cancer classifications and those that aim to identify novel markers for prediction of clinical outcome. Breast cancer may now be subclassified into luminal, basal, and HER2 subtypes with distinct differences in prognosis and response to therapy. However, profiling studies to identify predictive markers have suffered from methodologic problems that prevent general application of their results. Future work will need to reanalyze existing microarray data sets to identify more representative sets of candidate genes for use as prognostic signatures and will need to take into account the new knowledge of molecular subtypes of breast cancer when assessing predictive effects.
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              Opposing LSD1 complexes function in developmental gene activation and repression programmes.

              Precise control of transcriptional programmes underlying metazoan development is modulated by enzymatically active co-regulatory complexes, coupled with epigenetic strategies. One thing that remains unclear is how specific members of histone modification enzyme families, such as histone methyltransferases and demethylases, are used in vivo to simultaneously orchestrate distinct developmental gene activation and repression programmes. Here, we report that the histone lysine demethylase, LSD1--a component of the CoREST-CtBP co-repressor complex--is required for late cell-lineage determination and differentiation during pituitary organogenesis. LSD1 seems to act primarily on target gene activation programmes, as well as in gene repression programmes, on the basis of recruitment of distinct LSD1-containing co-activator or co-repressor complexes. LSD1-dependent gene repression programmes can be extended late in development with the induced expression of ZEB1, a Krüppel-like repressor that can act as a molecular beacon for recruitment of the LSD1-containing CoREST-CtBP co-repressor complex, causing repression of an additional cohort of genes, such as Gh, which previously required LSD1 for activation. These findings suggest that temporal patterns of expression of specific components of LSD1 complexes modulate gene regulatory programmes in many mammalian organs.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                13 February 2015
                2015
                : 10
                : 2
                : e0118002
                Affiliations
                [1 ]Department of Translational Oncology, St. Marianna University Graduate School of Medicine, Kawasaki, 216-8511, Japan
                [2 ]Division of Breast and Endocrine Surgery, Department of Surgery, St. Marianna University School of Medicine, Kawasaki, 216-8511, Japan
                [3 ]Department of Obstetrics and Gynecology, St. Marianna University School of Medicine, Kawasaki, 216-8511, Japan
                [4 ]Department of Pathology, St. Marianna University School of Medicine, Kawasaki, 216-8511, Japan
                [5 ]Department of Cardiovascular Development and Repair, Centro Nacional de Investigaciones Cardiovasculares (CNIC), c/Melchor Fernandez Almagro 3, 28029, Madrid, Spain
                [6 ]University of Cambridge, The Medical Research Council Cancer Cell Unit, Hutchison/MRC Research Centre, Hills Road, Cambridge, CB2 OXZ, United Kingdom
                [7 ]Cancer Science Institute of Singapore, National University of Singapore, Centre for Translational Medicine, 14 Medical Drive, #12-01, Singapore, 117599, Singapore
                Northwestern University, UNITED STATES
                Author notes

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

                Conceived and designed the experiments: ASS KS. Performed the experiments: SN ASS. Analyzed the data: SN ASS YN IM MK SO KT TO MR JAB AJN ADJ KS. Contributed reagents/materials/analysis tools: SN ASS YN IM MK SO KT TO MR JAB AJN ADJ KS. Wrote the paper: ADJ KS.

                Article
                PONE-D-14-35916
                10.1371/journal.pone.0118002
                4332491
                25679396
                dff99362-4c70-44c7-8712-6454e0b6db00
                Copyright @ 2015

                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 August 2014
                : 3 January 2015
                Page count
                Figures: 4, Tables: 5, Pages: 12
                Funding
                KS received a grant of St. Marianna University and ASS received a grant of St. Marianna University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
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                All relevant data are within the paper.

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