title: Individually tailored screening of breast cancer with genes, tumour phenotypes, clinical attributes, and conventional risk factors.
abstract: BACKGROUND
  We demonstrated how to comprehensively translate the existing and updated scientific evidence on genomic discovery, tumour phenotype, clinical features, and conventional risk factors in association with breast cancer to facilitate individually tailored screening for breast cancer.
  
  
  METHODS
  We proposed an individual-risk-score-based approach that translates state-of-the-art scientific evidence into the initiators and promoters affecting onset and subsequent progression of breast tumour underpinning a novel multi-variable three-state temporal natural history model. We applied such a quantitative approach to a population-based Taiwanese women periodical screening cohort.
  
  
  RESULTS
  Risk prediction for pre-clinical detectable and clinical-detected breast cancer was made by the two risk scores to stratify the underlying population to assess the optimal age to begin screening and the inter-screening interval for each category and to ascertain which high-risk group requires an alternative image technique. The risk-score-based approach significantly reduced the interval cancer rate as a percentage of the expected rate in the absence of screening by 30% and also reduced 8.2% false positive cases compared with triennial universal screening.
  
  
  CONCLUSIONS
  We developed a novel quantitative approach following the principle of translational research to provide a roadmap with state-of-the-art genomic discovery and clinical parameters to facilitate individually tailored breast cancer screening.
authors.affiliation: Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, 5F. No. 17, Hsu Chow Road, Zhongzheng District, Taipei City 100, Taiwan, ROC.
authors.forename: Y-Y
authors.initials: YY
authors.lastname: Wu
authors.forename: M-F
authors.initials: MF
authors.lastname: Yen
authors.forename: C-P
authors.initials: CP
authors.lastname: Yu
authors.forename: H-H
authors.initials: HH
authors.lastname: Chen
mesh_terms: D000367:Age Factors; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000235:genetics / Q000473:pathology; D055088:Early Detection of Cancer / Q000379:methods* / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D008875:Middle Aged; D015233:Models, Statistical; D010641:Phenotype; D057285:Precision Medicine / Q000379:methods* / Q000706:statistics & numerical data; D011237:Predictive Value of Tests; D012307:Risk Factors