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      Guidelines for pre-analytical conditions for assessing the methylation of circulating cell-free DNA

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          Abstract

          Methylation analysis of circulating cell-free DNA (cirDNA), as a liquid biopsy, has a significant potential to advance the detection, prognosis, and treatment of cancer, as well as many genetic disorders. The role of epigenetics in disease development has been reported in several hereditary disorders, and epigenetic modifications are regarded as one of the earliest and most significant genomic aberrations that arise during carcinogenesis. Liquid biopsy can be employed for the detection of these epigenetic biomarkers. It consists of isolation (pre-analytical) and detection (analytical) phases. The choice of pre-analytical variables comprising cirDNA extraction and bisulfite conversion methods can affect the identification of cirDNA methylation. Indeed, different techniques give a different return of cirDNA, which confirms the importance of pre-analytical procedures in clinical diagnostics. Although novel techniques have been developed for the simplification of methylation analysis, the process remains complex, as the steps of DNA extraction, bisulfite treatment, and methylation detection are each carried out separately. Recent studies have noted the absence of any standard method for the pre-analytical processing of methylated cirDNA. We have therefore conducted a comprehensive and systematic review of the important pre-analytical and analytical variables and the patient-related factors which form the basis of our guidelines for analyzing methylated cirDNA in liquid biopsy.

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          DNA methylation and its basic function.

          In the mammalian genome, DNA methylation is an epigenetic mechanism involving the transfer of a methyl group onto the C5 position of the cytosine to form 5-methylcytosine. DNA methylation regulates gene expression by recruiting proteins involved in gene repression or by inhibiting the binding of transcription factor(s) to DNA. During development, the pattern of DNA methylation in the genome changes as a result of a dynamic process involving both de novo DNA methylation and demethylation. As a consequence, differentiated cells develop a stable and unique DNA methylation pattern that regulates tissue-specific gene transcription. In this chapter, we will review the process of DNA methylation and demethylation in the nervous system. We will describe the DNA (de)methylation machinery and its association with other epigenetic mechanisms such as histone modifications and noncoding RNAs. Intriguingly, postmitotic neurons still express DNA methyltransferases and components involved in DNA demethylation. Moreover, neuronal activity can modulate their pattern of DNA methylation in response to physiological and environmental stimuli. The precise regulation of DNA methylation is essential for normal cognitive function. Indeed, when DNA methylation is altered as a result of developmental mutations or environmental risk factors, such as drug exposure and neural injury, mental impairment is a common side effect. The investigation into DNA methylation continues to show a rich and complex picture about epigenetic gene regulation in the central nervous system and provides possible therapeutic targets for the treatment of neuropsychiatric disorders.
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            Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer

            SUMMARY We conducted comprehensive integrative molecular analyses of the complete set of tumors in The Cancer Genome Atlas (TCGA), consisting of approximately 10,000 specimens and representing 33 types of cancer. We performed molecular clustering using data on chromosome-arm-level aneuploidy, DNA hypermethylation, mRNA, and miRNA expression levels and reverse-phase protein arrays, of which all, except for aneuploidy, revealed clustering primarily organized by histology, tissue type, or anatomic origin. The influence of cell type was evident in DNA-methylation-based clustering, even after excluding sites with known preexisting tissue-type-specific methylation. Integrative clustering further emphasized the dominant role of cell-of-origin patterns. Molecular similarities among histologically or anatomically related cancer types provide a basis for focused pan-cancer analyses, such as pan-gastrointestinal, pan-gynecological, pan-kidney, and pan-squamous cancers, and those related by stemness features, which in turn may inform strategies for future therapeutic development.
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              Liquid biopsies come of age: towards implementation of circulating tumour DNA

              Circulating tumour DNA (ctDNA) analysis has the potential to improve prognostication, molecular profiling and disease monitoring in patients with cancer. This Review summarizes recent advances, potential applications in cancer research and personalized oncology, and the introduction of ctDNA into clinical use.
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                Author and article information

                Contributors
                kerachianma@mums.ac.ir , Amin.Kerachian@mail.mcgill.ca
                alain.thierry@inserm.fr
                Journal
                Clin Epigenetics
                Clin Epigenetics
                Clinical Epigenetics
                BioMed Central (London )
                1868-7075
                1868-7083
                18 October 2021
                18 October 2021
                2021
                : 13
                : 193
                Affiliations
                [1 ]GRID grid.411583.a, ISNI 0000 0001 2198 6209, Medical Genetics Research Center, , Mashhad University of Medical Sciences, ; Mashhad, Iran
                [2 ]GRID grid.411583.a, ISNI 0000 0001 2198 6209, Department of Medical Genetics, Faculty of Medicine, , Mashhad University of Medical Sciences, ; Mashhad, Iran
                [3 ]Cancer Genetics Research Unit, Reza Radiotherapy and Oncology Center, Mashhad, Iran
                [4 ]GRID grid.411301.6, ISNI 0000 0001 0666 1211, Department of Animal Science, Faculty of Agriculture, , Ferdowsi University of Mashhad, ; Mashhad, Iran
                [5 ]GRID grid.488845.d, ISNI 0000 0004 0624 6108, IRCM, Institute of Research in Oncology of Montpellier, ; Montpellier, France
                [6 ]GRID grid.457377.5, INSERM, U1194, ; Montpellier, France
                [7 ]GRID grid.121334.6, ISNI 0000 0001 2097 0141, University of Montpellier, ; Montpellier, France
                [8 ]ICM, Regional Institute of Cancer of Montpellier, Montpellier, France
                Author information
                http://orcid.org/0000-0001-5016-2882
                Article
                1182
                10.1186/s13148-021-01182-7
                8525023
                34663458
                5e69ec34-0121-46c0-80ba-02c53c7b88cc
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 4 June 2021
                : 4 October 2021
                Categories
                Review
                Custom metadata
                © The Author(s) 2021

                Genetics
                epigenetics,liquid biopsy,pre-analytical,circulating tumor dna,biomarkers
                Genetics
                epigenetics, liquid biopsy, pre-analytical, circulating tumor dna, biomarkers

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