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      The debatable presence of PIWI‐interacting RNAs in invasive breast cancer

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          Abstract

          Numerous factors influence breast cancer (BC) prognosis, thus complicating the prediction of outcome. By identifying biomarkers that would distinguish the cases with poorer response to therapy already at the time of diagnosis, the rate of survival could be improved. Lately, Piwi‐interacting RNAs (piRNAs) have been introduced as potential cancer biomarkers, however, due to the recently raised challenges in piRNA annotations, further evaluation of piRNAs’ involvement in cancer is required. We performed small RNA sequencing in 227 fresh‐frozen breast tissue samples from the Eastern Finnish Kuopio Breast Cancer Project material to study the presence of piRNAs in BC and their associations with the clinicopathological features and outcome of BC patients. We observed the presence of three small RNAs annotated as piRNA database entries (DQ596932, DQ570994, and DQ571955) in our samples. The actual species of these RNAs however remain uncertain. All three small RNAs were upregulated in grade III tumors and DQ596932 additionally in estrogen receptor negative tumors. Furthermore, patients with estrogen receptor positive BC and higher DQ571955 had shorter relapse‐free survival and poorer BC‐specific survival, thus indicating DQ571955 as a candidate predictive marker for radiotherapy response in estrogen receptor positive BC. DQ596932 showed possible prognostic value in BC, whereas DQ570994 was identified as a candidate predictive marker for tamoxifen and chemotherapy response. These three small RNAs appear as candidate biomarkers for BC, which could after further investigation provide novel approaches for the treatment of therapy resistant BC. Overall, our results indicate that the prevalence of piRNAs in cancer is most likely not as comprehensive as has been previously thought.

          Abstract

          We have observed three small RNAs associating with clinical characteristics and patient outcome in breast cancer. The actual species of these RNAs needs further clarification but these results indicate that the dysregulation of piRNAs in cancer is most likely not as general a phenomenon as has been previously thought.

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            Trimmomatic: a flexible trimmer for Illumina sequence data

            Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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              Non-coding RNAs in human disease.

              The relevance of the non-coding genome to human disease has mainly been studied in the context of the widespread disruption of microRNA (miRNA) expression and function that is seen in human cancer. However, we are only beginning to understand the nature and extent of the involvement of non-coding RNAs (ncRNAs) in disease. Other ncRNAs, such as PIWI-interacting RNAs (piRNAs), small nucleolar RNAs (snoRNAs), transcribed ultraconserved regions (T-UCRs) and large intergenic non-coding RNAs (lincRNAs) are emerging as key elements of cellular homeostasis. Along with microRNAs, dysregulation of these ncRNAs is being found to have relevance not only to tumorigenesis, but also to neurological, cardiovascular, developmental and other diseases. There is great interest in therapeutic strategies to counteract these perturbations of ncRNAs.
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                Author and article information

                Contributors
                jaana.hartikainen@uef.fi
                Journal
                Cancer Med
                Cancer Med
                10.1002/(ISSN)2045-7634
                CAM4
                Cancer Medicine
                John Wiley and Sons Inc. (Hoboken )
                2045-7634
                07 May 2021
                June 2021
                : 10
                : 11 ( doiID: 10.1002/cam4.v10.11 )
                : 3593-3603
                Affiliations
                [ 1 ] School of Medicine Institute of Clinical Medicine, Pathology and Forensic Medicine, and Translational Cancer Research Area University of Eastern Finland Kuopio Finland
                [ 2 ] School of Medicine Institute of Clinical Medicine University of Eastern Finland Kuopio Finland
                [ 3 ] School of Medicine Institute of Biomedicine University of Eastern Finland Kuopio Finland
                [ 4 ] School of Medicine Institute of Clinical Medicine, Oncology, and Cancer Center of Eastern Finland University of Eastern Finland Kuopio Finland
                [ 5 ] Cancer Center Kuopio University Hospital Kuopio Finland
                [ 6 ] Department of Clinical Pathology Kuopio University Hospital Kuopio Finland
                Author notes
                [*] [* ] Correspondence

                Jaana M. Hartikainen, School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine, and Translational Cancer Research Area, University of Eastern Finland, Kuopio, 70210, Finland

                Email: jaana.hartikainen@ 123456uef.fi

                Author information
                http://orcid.org/0000-0002-6083-2402
                https://orcid.org/0000-0001-8267-1905
                Article
                CAM43915
                10.1002/cam4.3915
                8178507
                33960684
                8bd0229e-f73d-450f-bb34-d4db420d03a1
                © 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 16 December 2020
                : 26 June 2020
                : 29 March 2021
                Page count
                Figures: 3, Tables: 2, Pages: 11, Words: 8073
                Funding
                Funded by: Kuopion Yliopistollinen Sairaala , open-funder-registry 10.13039/501100004092;
                Funded by: Itä‐Suomen Yliopisto , open-funder-registry 10.13039/100007753;
                Funded by: Syöpäsäätiö , open-funder-registry 10.13039/501100010711;
                Award ID: 160069
                Award ID: 170106
                Categories
                Original Research
                Clinical Cancer Research
                Original Research
                Custom metadata
                2.0
                June 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.2 mode:remove_FC converted:05.06.2021

                Oncology & Radiotherapy
                biomarkers,breast cancer,next generation sequencing,non‐coding rnas,prognostic factor,transcriptomics

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