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Addition of pathology and biomarker information significantly improves the performance of the Manchester scoring system for BRCA1 and BRCA2 testing
  1. D Gareth R Evans (gareth.evans{at}
  1. St Mary's Manchester, United Kingdom
    1. Fiona Lalloo (fiona.lalloo{at}
    1. St Marys Hospital, Manchester, United Kingdom
      1. Angela Cramer (angela.cramer{at}
      1. The Christie, United Kingdom
        1. Elizabeth Jones (elizabeth.jones{at}
        1. St Mary's Hospital Manchester, United Kingdom
          1. Fiona Knox (fiona.knox{at}
          1. Wythenshawe Hospital, United Kingdom
            1. Eitan Amir (eitan.amir{at}
            1. Division of Medical Oncology, Princess Margaret Hospital, Toronto, M5G 2M9, Canada
              1. Anthony Howell (anthony.howell{at}
              1. The Christie, United Kingdom


                Background: Selection for genetic testing of BRCA1/BRCA2 is an important area of healthcare. Whilst testing costs for mutational analysis are falling, costs in North America remains in excess of US $3,000 (UK price can be £690). Guidelines in most countries use a 10-20% threshold of detecting a mutation in BRCA1/2 combined within a family before mutational analysis is considered. A number of computer based models have been developed. However, use of these models can be time consuming and difficult to use. The Manchester scoring system was developed in 2003 to simplify the selection process without losing accuracy.

                Methods: In order to increase accuracy of prediction we have incorporated breast pathology of the index case into the Manchester scoring system based on 2156 samples from unrelated non-Jewish patients fully tested for BRCA1/2, and adapted the scores accordingly.

                Results/Discussion: Data from breast pathology allowed adjustment of BRCA1 and combined BRCA1/2 scores alone. There was a lack of pathological homogeneity for BRCA2, therefore specific pathological correlates could not be identified. Upward adjustments in BRCA1 mutation prediction scores were made for grade 3 ductal cancers, ER and triple negative tumours. Downward adjustments in the score were made for Grade 1 tumours, lobular cancer, DCIS and ER/HER2 positivity. Application of the updated scoring system led to 4/9 more mutations in BRCA1 being identified at the 10/20% threshold respectively. Furthermore, there were 65/58 fewer cases meeting the 10/20% threshold for testing. Moreover, the adjusted score significantly improved the trade-off between sensitivity and specificity for BRCA1/2 prediction.

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