Searching for blood DNA methylation markers of breast cancer risk and early detection

Journal of the National Cancer Institute

Volumn 105, Issue 10, 2013, Pages 678-680

  García Closas, Montserrat ^a   Gail, Mitchell H ^b   Kelsey, Karl T ^c   Ziegler, Regina G ^b  

^a INSTITUTE OF CANCER RESEARCH   (United Kingdom)

^b NATIONAL CANCER INSTITUTE   (United States)

^c BROWN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DNA; UNTRANSLATED RNA;

BREAST CANCER; CANCER DIAGNOSIS; CANCER RISK; CPG ISLAND; DNA METHYLATION; DNA SEQUENCE; EARLY DIAGNOSIS; EDITORIAL; HUMAN; IMMUNE RESPONSE; PRIORITY JOURNAL; SINGLE NUCLEOTIDE POLYMORPHISM;

BREAST NEOPLASMS; CPG ISLANDS; DNA METHYLATION; FEMALE; HUMANS; NEOPLASM PROTEINS; POLYMORPHISM, SINGLE NUCLEOTIDE; SIBLINGS;

EID: 84877965772     PISSN: 00278874     EISSN: 14602105     Source Type: Journal    
DOI: 10.1093/jnci/djt090     Document Type: Editorial

References (15)

1. Xu Z, Bolick SCE, DeRoo LA, Weinberg CR, Sandler D P, Taylor JA. Epigenome-wide association study of breast cancer using prospectively collected sister study samples. J Natl Cancer Inst. 2013;105(10):694-700.
2. Rockhill B, Spiegelman D, Byrne C, Hunter DJ, Colditz GA. Validation of the Gail et al. model of breast cancer risk prediction and implications for chemoprevention. J Natl Cancer Inst. 2001;93(5):358-366.
3. Nelson HD, Tyne K, Naik A, Bougatsos C, Chan BK, Humphrey L; U.S. Preventive Services Task Force. Screening for breast cancer: an update for the U.S. Preventive Services Task Force. Ann Intern Med. 2009;151(10):727-737, W237-W242.
4. Gøtzsche PC, Nielsen M. Screening for breast cancer with mammography. Cochrane Database Syst Rev. 2011 Jan 19;(1):CD001877.
5. Feinberg AP. Genome-scale approaches to the epigenetics of common human disease. Virchows Arch. 2010;456(1):13-21.
6. Rakyan VK, Down TA, Balding DJ, Beck S. Epigenome-wide association studies for common human diseases. Nat Rev Genet. 2011;12(8):529-541.
7. Koestler DC, Marsit CJ, Christensen BC, et al. Peripheral blood immune cell methylation profiles are associated with nonhematopoietic cancers. Cancer Epidemiol Biomarkers Prev. 2012;21(8):1293-1302.
8. Pepe MS, Etzioni R, Feng Z, et al. Phases of biomarker development for early detection of cancer. J Natl Cancer Inst. 2001;93(14):1054-1061.
9. Wessels LF, Reinders MJ, Hart AA, et al. A protocol for building and evaluating predictors of disease state based on microarray data. Bioinformatics. 2005;21(19):3755-3762.
10. Dupuy A, Simon RM. Critical review of published microarray studies for cancer outcome and guidelines on statistical analysis and reporting. J Natl Cancer Inst. 2007;99(2):147-157.
11. Gail MH, Pfeiffer RM. On criteria for evaluating models of absolute risk. Biostatistics. 2005;6(2):227-239.
12. Sandoval J, Heyn H, Moran S, et al. Validation of a DNA methylation microarray for 450, 000 CpG sites in the human genome. Epigenetics. 2011;6(6):692-702.
13. Bernstein BE, Meissner A, Lander ES. The mammalian epigenome. Cell. 2007;128(4):669-681.
14. Gail MH, Fears TR, Hoover RN, et al. Reproducibility studies and interlaboratory concordance for assays of serum hormone levels: estrone, estradiol, estrone sulfate, and progesterone. Cancer Epidemiol Biomarkers Prev. 1996;5(10):835-844.
15. Houseman EA, Accomando WP, Koestler DC, et al. DNA meth-ylation arrays as surrogate measures of cell mixture distribution. BMC Bioinformatics. 2012 May 8;13:86.