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      The proportion of endometrial cancers associated with Lynch syndrome: a systematic review of the literature and meta-analysis

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          Abstract

          Purpose

          Endometrial cancer (EC) is often the sentinel cancer in women with Lynch syndrome (LS). However, efforts to implement universal LS screening in EC patients have been hampered by a lack of evidence detailing the proportion of EC patients that would be expected to screen positive for LS.

          Methods

          Studies were identified by electronic searches of Medline, Embase, Cochrane CENTRAL and Web of Science. Proportions of test positivity were calculated by random and fixed-effects meta-analysis models. I 2 score was used to assess heterogeneity across studies.

          Results

          Fifty-three studies, including 12,633 EC patients, met the inclusion criteria. The overall proportion of endometrial tumors with microsatellite instability or mismatch repair (MMR) deficiency by immunohistochemistry (IHC) was 0.27 (95% confidence interval [CI] 0.25–0.28, I 2: 71%) and 0.26 (95% CI 0.25–0.27, I 2: 88%), respectively. Of those women with abnormal tumor testing, 0.29 (95% CI 0.25–0.33, I 2: 83%) had LS-associated pathogenic variants on germline testing; therefore around 3% of ECs can be attributed to LS. Preselection of EC cases did increase the proportion of germline LS diagnoses.

          Conclusion

          The current study suggests that prevalence of LS in EC patients is approximately 3%, similar to that of colorectal cancer patients; therefore our data support the implementation of universal EC screening for LS.

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          Most cited references85

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          Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

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            Quantifying heterogeneity in a meta-analysis.

            The extent of heterogeneity in a meta-analysis partly determines the difficulty in drawing overall conclusions. This extent may be measured by estimating a between-study variance, but interpretation is then specific to a particular treatment effect metric. A test for the existence of heterogeneity exists, but depends on the number of studies in the meta-analysis. We develop measures of the impact of heterogeneity on a meta-analysis, from mathematical criteria, that are independent of the number of studies and the treatment effect metric. We derive and propose three suitable statistics: H is the square root of the chi2 heterogeneity statistic divided by its degrees of freedom; R is the ratio of the standard error of the underlying mean from a random effects meta-analysis to the standard error of a fixed effect meta-analytic estimate, and I2 is a transformation of (H) that describes the proportion of total variation in study estimates that is due to heterogeneity. We discuss interpretation, interval estimates and other properties of these measures and examine them in five example data sets showing different amounts of heterogeneity. We conclude that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity. One or both should be presented in published meta-analyses in preference to the test for heterogeneity. Copyright 2002 John Wiley & Sons, Ltd.
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              Endometrial cancer.

              Endometrial cancer is the most common gynaecological tumour in developed countries, and its incidence is increasing. The most frequently occurring histological subtype is endometrioid adenocarcinoma. Patients are often diagnosed when the disease is still confined to the uterus. Standard treatment consists of primary hysterectomy and bilateral salpingo-oophorectomy, often using minimally invasive approaches (laparoscopic or robotic). Lymph node surgical strategy is contingent on histological factors (subtype, tumour grade, involvement of lymphovascular space), disease stage (including myometrial invasion), patients' characteristics (age and comorbidities), and national and international guidelines. Adjuvant treatment is tailored according to histology and stage. Various classifications are used to assess the risks of recurrence and to determine optimum postoperative management. 5 year overall survival ranges from 74% to 91% in patients without metastatic disease. Trials are ongoing in patients at high risk of recurrence (including chemotherapy, chemoradiation therapy, and molecular targeted therapies) to assess the modalities that best balance optimisation of survival with the lowest adverse effects on quality of life.
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                Author and article information

                Contributors
                emma.crosbie@manchester.ac.uk
                Journal
                Genet Med
                Genet Med
                Genetics in Medicine
                Nature Publishing Group US (New York )
                1098-3600
                1530-0366
                14 May 2019
                14 May 2019
                2019
                : 21
                : 10
                : 2167-2180
                Affiliations
                [1 ]ISNI 0000000121662407, GRID grid.5379.8, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, , University of Manchester, St Mary’s Hospital, ; Manchester, UK
                [2 ]ISNI 0000000121662407, GRID grid.5379.8, Division of Evolution and Genomic Medicine, , University of Manchester, St Mary’s Hospital, ; Manchester, UK
                [3 ]ISNI 0000 0004 1936 8948, GRID grid.4991.5, Tumor Genomics and Immunology Group, The Oxford Centre for Cancer Gene Research, Wellcome Trust Centre for Human Genetics, , University of Oxford, ; Oxford, UK
                [4 ]GRID grid.443984.6, Department of Obstetrics and Gynaecology, , St James’s University Hospital, The Leeds Teaching Hospitals NHS Trust, ; Leeds, UK
                [5 ]ISNI 0000 0004 1756 4670, GRID grid.418395.2, Lancashire Hospitals NHS Trust, Royal Blackburn Hospital, ; Blackburn, UK
                [6 ]GRID grid.498924.a, Manchester Centre for Genomic Medicine, , Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, ; Manchester, UK
                [7 ]GRID grid.498924.a, Department of Obstetrics and Gynaecology, , Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, ; Manchester, UK
                Author information
                http://orcid.org/0000-0003-3117-3257
                http://orcid.org/0000-0003-0284-8630
                Article
                536
                10.1038/s41436-019-0536-8
                8076013
                31086306
                745b118e-b145-4177-8f40-d27db5c6e7c3
                © The Author(s) 2019

                Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 5 December 2018
                : 25 April 2019
                Categories
                Systematic Review
                Custom metadata
                © American College of Medical Genetics and Genomics 2019

                Genetics
                systematic review,lynch syndrome,endometrial cancer,mismatch repair (mmr) immunohistochemistry,microsatellite instability (msi)

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