Literature DB >> 25124661

Epigenetic epidemiology of cancer.

Timothy M Barrow1, Karin B Michels2.   

Abstract

Epigenetic epidemiology includes the study of variation in epigenetic traits and the risk of disease in populations. Its application to the field of cancer has provided insight into how lifestyle and environmental factors influence the epigenome and how epigenetic events may be involved in carcinogenesis. Furthermore, it has the potential to bring benefit to patients through the identification of diagnostic markers that enable the early detection of disease and prognostic markers that can inform upon appropriate treatment strategies. However, there are a number of challenges associated with the conduct of such studies, and with the identification of biomarkers that can be applied to the clinical setting. In this review, we delineate the challenges faced in the design of epigenetic epidemiology studies in cancer, including the suitability of blood as a surrogate tissue and the capture of genome-wide DNA methylation. We describe how epigenetic epidemiology has brought insight into risk factors associated with lung, breast, colorectal and bladder cancer and review relevant research. We discuss recent findings on the identification of epigenetic diagnostic and prognostic biomarkers for these cancers.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomarkers; Cancer; DNA methylation; Epidemiology; Epigenetics

Mesh:

Substances:

Year:  2014        PMID: 25124661     DOI: 10.1016/j.bbrc.2014.08.002

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  39 in total

1.  An epigenome-wide association study meta-analysis of educational attainment.

Authors:  R Karlsson Linnér; R E Marioni; C A Rietveld; A J Simpkin; N M Davies; K Watanabe; N J Armstrong; K Auro; C Baumbach; M J Bonder; J Buchwald; G Fiorito; K Ismail; S Iurato; A Joensuu; P Karell; S Kasela; J Lahti; A F McRae; P R Mandaviya; I Seppälä; Y Wang; L Baglietto; E B Binder; S E Harris; A M Hodge; S Horvath; M Hurme; M Johannesson; A Latvala; K A Mather; S E Medland; A Metspalu; L Milani; R L Milne; A Pattie; N L Pedersen; A Peters; S Polidoro; K Räikkönen; G Severi; J M Starr; L Stolk; M Waldenberger; J G Eriksson; T Esko; L Franke; C Gieger; G G Giles; S Hägg; P Jousilahti; J Kaprio; M Kähönen; T Lehtimäki; N G Martin; J B C van Meurs; M Ollikainen; M Perola; D Posthuma; O T Raitakari; P S Sachdev; E Taskesen; A G Uitterlinden; P Vineis; C Wijmenga; M J Wright; C Relton; G Davey Smith; I J Deary; P D Koellinger; D J Benjamin
Journal:  Mol Psychiatry       Date:  2017-10-31       Impact factor: 15.992

Review 2.  Epigenetic markers in melanoma.

Authors:  Weimin Guo; Ting Xu; Jonathan J Lee; George F Murphy; Christine G Lian
Journal:  Melanoma Manag       Date:  2015-11-24

Review 3.  Epigenetics of colorectal cancer: emerging circulating diagnostic and prognostic biomarkers.

Authors:  Elisa Danese; Martina Montagnana
Journal:  Ann Transl Med       Date:  2017-07

Review 4.  Defining, distinguishing and detecting the contribution of heterogeneous methylation to cancer heterogeneity.

Authors:  Thomas R Pisanic; Pornpat Athamanolap; Tza-Huei Wang
Journal:  Semin Cell Dev Biol       Date:  2016-08-28       Impact factor: 7.727

Review 5.  Transdisciplinary approaches enhance the production of translational knowledge.

Authors:  Timothy H Ciesielski; Melinda C Aldrich; Carmen J Marsit; Robert A Hiatt; Scott M Williams
Journal:  Transl Res       Date:  2016-11-10       Impact factor: 7.012

Review 6.  Integrative analysis of exogenous, endogenous, tumour and immune factors for precision medicine.

Authors:  Shuji Ogino; Jonathan A Nowak; Tsuyoshi Hamada; Amanda I Phipps; Ulrike Peters; Danny A Milner; Edward L Giovannucci; Reiko Nishihara; Marios Giannakis; Wendy S Garrett; Mingyang Song
Journal:  Gut       Date:  2018-02-06       Impact factor: 23.059

7.  Developmental and Thyroid Hormone Regulation of the DNA Methyltransferase 3a Gene in Xenopus Tadpoles.

Authors:  Yasuhiro Kyono; Laurent M Sachs; Patrice Bilesimo; Luan Wen; Robert J Denver
Journal:  Endocrinology       Date:  2016-10-25       Impact factor: 4.736

8.  Statistical methods for studying disease subtype heterogeneity.

Authors:  Molin Wang; Donna Spiegelman; Aya Kuchiba; Paul Lochhead; Sehee Kim; Andrew T Chan; Elizabeth M Poole; Rulla Tamimi; Shelley S Tworoger; Edward Giovannucci; Bernard Rosner; Shuji Ogino
Journal:  Stat Med       Date:  2015-12-01       Impact factor: 2.373

9.  Valproic acid, an inhibitor of class I histone deacetylases, reverses acquired Erlotinib-resistance of lung adenocarcinoma cells: a Connectivity Mapping analysis and an experimental study.

Authors:  Wenlei Zhuo; Liang Zhang; Yi Zhu; Qichao Xie; Bo Zhu; Zhengtang Chen
Journal:  Am J Cancer Res       Date:  2015-06-15       Impact factor: 6.166

10.  Prediagnosis Plasma Adiponectin in Relation to Colorectal Cancer Risk According to KRAS Mutation Status.

Authors:  Kentaro Inamura; Mingyang Song; Seungyoun Jung; Reiko Nishihara; Mai Yamauchi; Paul Lochhead; Zhi Rong Qian; Sun A Kim; Kosuke Mima; Yasutaka Sukawa; Atsuhiro Masuda; Yu Imamura; Xuehong Zhang; Michael N Pollak; Christos S Mantzoros; Curtis C Harris; Edward Giovannucci; Charles S Fuchs; Eunyoung Cho; Andrew T Chan; Kana Wu; Shuji Ogino
Journal:  J Natl Cancer Inst       Date:  2015-11-23       Impact factor: 13.506

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