Literature DB >> 20237351

A tiny step closer to personalized risk prediction for breast cancer.

Peter Devilee, Matti A Rookus.   

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Year:  2010        PMID: 20237351     DOI: 10.1056/NEJMe0912474

Source DB:  PubMed          Journal:  N Engl J Med        ISSN: 0028-4793            Impact factor:   91.245


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  15 in total

1.  Randomized trial finds that prostate cancer genetic risk score feedback targets prostate-specific antigen screening among at-risk men.

Authors:  Aubrey R Turner; Brian R Lane; Dan Rogers; Isaac Lipkus; Kathryn Weaver; Suzanne C Danhauer; Zheng Zhang; Fang-Chi Hsu; Sabrina L Noyes; Tamara Adams; Helga Toriello; Thomas Monroe; Trudy McKanna; Tracey Young; Ryan Rodarmer; Richard J Kahnoski; Mouafak Tourojman; A Karim Kader; S Lilly Zheng; William Baer; Jianfeng Xu
Journal:  Cancer       Date:  2016-07-19       Impact factor: 6.860

2.  Utility of genome-wide association study findings: prostate cancer as a translational research paradigm.

Authors:  A R Turner; A K Kader; J Xu
Journal:  J Intern Med       Date:  2012-04       Impact factor: 8.989

3.  Discriminatory power of common genetic variants in personalized breast cancer diagnosis.

Authors:  Yirong Wu; Craig K Abbey; Jie Liu; Irene Ong; Peggy Peissig; Adedayo A Onitilo; Jun Fan; Ming Yuan; Elizabeth S Burnside
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-03-24

4.  Comparing the value of mammographic features and genetic variants in breast cancer risk prediction.

Authors:  Yirong Wu; Jie Liu; David Page; Peggy Peissig; Catherine McCarty; Adedayo A Onitilo; Elizabeth S Burnside
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

5.  Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants.

Authors:  Shara I Feld; Kaitlin M Woo; Roxana Alexandridis; Yirong Wu; Jie Liu; Peggy Peissig; Adedayo A Onitilo; Jennifer Cox; C David Page; Elizabeth S Burnside
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

6.  Comparing Mammography Abnormality Features to Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy.

Authors:  Elizabeth S Burnside; Jie Liu; Yirong Wu; Adedayo A Onitilo; Catherine A McCarty; C David Page; Peggy L Peissig; Amy Trentham-Dietz; Terrie Kitchner; Jun Fan; Ming Yuan
Journal:  Acad Radiol       Date:  2015-10-26       Impact factor: 3.173

7.  The influence of health care policies and health care system distrust on willingness to undergo genetic testing.

Authors:  Katrina Armstrong; Mary Putt; Chanita Hughes Halbert; David Grande; Jerome Sanford Schwartz; Kaijun Liao; Noora Marcus; Mirar Bristol Demeter; Judy Shea
Journal:  Med Care       Date:  2012-05       Impact factor: 2.983

8.  Polygenic susceptibility to prostate and breast cancer: implications for personalised screening.

Authors:  N Pashayan; S W Duffy; S Chowdhury; T Dent; H Burton; D E Neal; D F Easton; R Eeles; P Pharoah
Journal:  Br J Cancer       Date:  2011-04-05       Impact factor: 7.640

9.  Radiogenomics: radiobiology enters the era of big data and team science.

Authors:  Barry S Rosenstein; Catharine M West; Søren M Bentzen; Jan Alsner; Christian Nicolaj Andreassen; David Azria; Gillian C Barnett; Michael Baumann; Neil Burnet; Jenny Chang-Claude; Eric Y Chuang; Charlotte E Coles; Andre Dekker; Kim De Ruyck; Dirk De Ruysscher; Karen Drumea; Alison M Dunning; Douglas Easton; Rosalind Eeles; Laura Fachal; Sara Gutiérrez-Enríquez; Karin Haustermans; Luis Alberto Henríquez-Hernández; Takashi Imai; George D D Jones; Sarah L Kerns; Zhongxing Liao; Kenan Onel; Harry Ostrer; Matthew Parliament; Paul D P Pharoah; Timothy R Rebbeck; Christopher J Talbot; Hubert Thierens; Ana Vega; John S Witte; Philip Wong; Frederic Zenhausern
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-07-15       Impact factor: 7.038

10.  Predictive factors of brain metastasis in patients with breast cancer.

Authors:  Jun Xue; Gang Peng; Jing-Song Yang; Qian Ding; Jing Cheng
Journal:  Med Oncol       Date:  2013-02-12       Impact factor: 3.064

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