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      A systematic review and meta-analysis of somatic and germline DNA sequence biomarkers of esophageal cancer survival, therapy response and stage

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          Abstract

          Recent advances in next generation sequencing reinforce the potential for DNA sequence markers to guide esophageal cancer management. We report the first systematic review and meta-analysis, identifying 94 markers of outcome and 41 of stage. Overall, evidence was poor. Meta-analyses demonstrated outcome associations for 6 tumor and 9 germline variants: priorities for prospective evaluation.

          Abstract

          Introduction

          There is an urgent need for biomarkers to help predict prognosis and guide management of esophageal cancer. This review identifies, evaluates and meta-analyses the evidence for reported somatic and germline DNA sequence biomarkers of outcome and stage.

          Methods

          A systematic review was carried out of the PubMed, EMBASE and Cochrane databases (20 August 2014), in conjunction with the ASCO Level of Evidence scale for biomarker research. Meta-analyses were carried out for all reported markers associated with outcome measures by more than one study.

          Results

          Four thousand and four articles were identified, 762 retrieved and 182 studies included. There were 65 reported markers of survival or recurrence 12 (18.5%) were excluded due to multiple comparisons. Following meta-analysis, significant associations were seen for six tumor variants (mutant TP53 and PIK3CA, copy number gain of ERBB2/ HER2, CCND1 and FGF3, and chromosomal instability/ploidy) and seven germline polymorphisms: ERCC1 rs3212986, ERCC2 rs1799793, TP53 rs1042522, MDM2 rs2279744, TYMS rs34743033, ABCB1 rs1045642 and MTHFR rs1801133. Twelve germline markers of treatment complications were reported; 10 were excluded. Two tumor and 15 germline markers (11 excluded) of chemo (radio)therapy response were reported. Following meta-analysis, associations were demonstrated for mutant TP53, ERCC1 rs11615 and XRCC1 rs25487. There were 41 tumor/germline reported markers of stage; 27 (65.9%) were excluded.

          Conclusions

          Numerous DNA markers of outcome and stage have been reported, yet few are backed by high-quality evidence. Despite this, a small number of variants appear reliable. These merit evaluation in prospective trials, within the context of high-throughput sequencing and gene expression.

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          Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints.

          Meta-analyses aim to provide a full and comprehensive summary of related studies which have addressed a similar question. When the studies involve time to event (survival-type) data the most appropriate statistics to use are the log hazard ratio and its variance. However, these are not always explicitly presented for each study. In this paper a number of methods of extracting estimates of these statistics in a variety of situations are presented. Use of these methods should improve the efficiency and reliability of meta-analyses of the published literature with survival-type endpoints.
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            Estimates of cancer incidence and mortality in Europe in 2008.

            Up-to-date statistics on cancer occurrence and outcome are essential for the planning and evaluation of programmes for cancer control. Since the relevant information for 2008 is not generally available as yet, we used statistical models to estimate incidence and mortality data for 25 cancers in 40 European countries (grouped and individually) in 2008. The calculations are based on published data. If not collected, national rates were estimated from national mortality data and incidence and mortality data provided by local cancer registries of the same or neighbouring country. The estimated 2008 rates were applied to the corresponding country population estimates for 2008 to obtain an estimate of the numbers of cancer cases and deaths in Europe in 2008. There were an estimated 3.2 million new cases of cancer and 1.7 million deaths from cancer in 2008. The most common cancers were colorectal cancers (436,000 cases, 13.6% of the total), breast cancer (421,000, 13.1%), lung cancer (391,000, 12.2%) and prostate cancer (382,000, 11.9%). The most common causes of death from cancer were lung cancer (342,000 deaths, 19.9% of the total), colorectal cancer (212,000 deaths, 12.3%), breast cancer (129,000, 7.5%) and stomach cancer (117,000, 6.8%). Copyright 2009 Elsevier Ltd. All rights reserved.
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              A single nucleotide polymorphism in the MDM2 promoter attenuates the p53 tumor suppressor pathway and accelerates tumor formation in humans.

              The tumor suppressor p53 gene is mutated in minimally half of all cancers. It is therefore reasonable to assume that naturally occurring polymorphic genetic variants in the p53 stress response pathway might determine an individual's susceptibility to cancer. A central node in the p53 pathway is the MDM2 protein, a direct negative regulator of p53. In this report, a single nucleotide polymorphism (SNP309) is found in the MDM2 promoter and is shown to increase the affinity of the transcriptional activator Sp1, resulting in higher levels of MDM2 RNA and protein and the subsequent attenuation of the p53 pathway. In humans, SNP309 is shown to associate with accelerated tumor formation in both hereditary and sporadic cancers. A model is proposed whereby SNP309 serves as a rate-limiting event in carcinogenesis.
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                Author and article information

                Journal
                Ann Oncol
                Ann. Oncol
                annonc
                annonc
                Annals of Oncology
                Oxford University Press
                0923-7534
                1569-8041
                April 2015
                11 September 2014
                11 September 2014
                : 26
                : 4
                : 624-644
                Affiliations
                [1 ]Molecular and Population Genetics, Wellcome Trust Centre for Human Genetics, University of Oxford , Oxford
                [2 ]Oxford OesophagoGastric Centre
                [3 ]NIHR Oxford Biomedical Research Centre, Churchill Hospital , Oxford, UK
                Author notes
                [* ] Correspondence to: Dr John M. Findlay, Molecular and Population Genetics, Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, UK. Tel: +44-1865-287500; E-mail: jfindlay@ 123456well.ox.ac.uk
                Article
                mdu449
                10.1093/annonc/mdu449
                4374384
                25214541
                96f1be64-0706-4a37-9b04-0267693b5fbb
                © The Author 2014. Published by Oxford University Press on behalf of the European Society for Medical Oncology.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 15 July 2014
                : 2 September 2014
                : 3 September 2014
                Categories
                Reviews

                Oncology & Radiotherapy
                biomarkers,genomic,cancer,esophageal,prognosis,cancer staging
                Oncology & Radiotherapy
                biomarkers, genomic, cancer, esophageal, prognosis, cancer staging

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