Performance of automated scoring of ER, PR, HER2, CK5/6 and EGFR in breast cancer tissue microarrays in the Breast Cancer Association Consortium

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Howat, W.J.; Blows, F.M.; Provenzano, E.; Brook, M.N.; Morris, L.; Gazinska, P.; Johnson, N.; McDuffus, L.A.; Miller, J.; Sawyer, E.J.; Pinder, S.; van Deurzen, C.H.; Jones, L.; Sironen, R.; Visscher, D.; Caldas, C.; Daley, F.; Coulson, P.; Broeks, A.; Sanders, J.; Wesseling, J.; Nevanlinna, H.; Fagerholm, R.; Blomqvist, C.; Heikkilä, P.; Ali, H.R.; Dawson, S.J.; Figueroa, J.; Lissowska, J.; Brinton, L.; ... view all 52 authors
(2014)
  • Publisher: John Wiley and Sons Inc.
  • Journal: The Journal of Pathology: Clinical Research,volume 1,issue 1,pages18-32 (eissn: 2056-4538)
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.1002/cjp2.3, pmc: PMC4858117
  • Subject: tissue microarrays | 3122 Cancers | Original Article | breast tumours | 3123 Gynaecology and paediatrics | digital pathology | Original Articles | immunohistochemistry | automated scoring

Breast cancer risk factors and clinical outcomes vary by tumour marker expression. However, individual studies often lack the power required to assess these relationships, and large-scale analyses are limited by the need for high throughput, standardized scoring methods... View more