Incorporating methylation genome information improves prediction accuracy for drug treatment responses-Reference-Cited by-同舟云学术

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Incorporating methylation genome information improves prediction accuracy for drug treatment responses

Published:2018-09 Issue:S1 Volume:19 Page:
ISSN:1471-2156
Container-title:BMC Genetics
language:en
Short-container-title:BMC Genet

Author:

Xia Xiaoxuan,Weng Haoyi,Men Ruoting,Sun Rui,Zee Benny Chung Ying,Chong Ka Chun,Wang Maggie Haitian

Publisher

Springer Science and Business Media LLC

Subject

Genetics (clinical),Genetics

Link

http://link.springer.com/content/pdf/10.1186/s12863-018-0644-5.pdf

Reference27 articles.

1. Flanagan J, Petronis A. Pharmacoepigenetics: from basic epigenetics to therapeutic applications. Drugs Pharm Sci. 2005;156:461.

2. Chaudhry P, Srinivasan R, Patel FD. Utility of gene promoter methylation in prediction of response to platinum-based chemotherapy in epithelial ovarian cancer (EOC). Cancer Investig. 2009;27(8):877–84.

3. Shindo T, Shimizu T, Nishiyama N, Niinuma T, Kitajima H, Kai M, Shinkai N, Itoh N, Tanaka T, Suzuki H, et al. Diagnosis and prediction of recurrent bladder cancer by urinary DNA methylation analysis: multicenter prospective study. Eur Urol Suppl. 2017;16(3):e206–8.

4. Heyn H, Esteller M. DNA methylation profiling in the clinic: applications and challenges. Nat Rev Genet. 2012;13(10):679–92.

5. Bullinger L, Ehrich M, Döhner K, Schlenk RF, Döhner H, Nelson MR, van den Boom D. Quantitative DNA methylation predicts survival in adult acute myeloid leukemia. Blood. 2010;115(3):636–42.

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