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, William J ; Blows, Fiona M ; Provenzano, Elena ; Brook, Mark N ; Morris, Lorna ; Gazinska, Patrycja ; Johnson, Nicola ; McDuffus, Leigh‐Anne ; Miller, Jodi ; Sawyer, Elinor J ; Pinder, Sarah ; van Deurzen, Carolien H M ; Jones, Louise ; Sironen, Reijo ; Visscher, Daniel ; Caldas, Carlos ; Daley, Frances ; Coulson, Penny ; Broeks, Annegien ; Sanders, Joyce ; Wesseling, Jelle ; Nevanlinna, Heli ; Fagerholm, Rainer ; Blomqvist, Carl ; Heikkilä, Päivi ; Ali, H Raza ; Dawson, Sarah‐Jane ; Figueroa, Jonine ; Lissowska, Jolanta ; Brinton, Louise ... view all 52 authors (2014)
  • Publisher: John Wiley and Sons Inc.
  • Journal: The Journal of Pathology: Clinical Research, volume 1, issue 1, pages 18-32 (eissn: 2056-4538)
  • Related identifiers: doi: 10.1002/cjp2.3, pmc: PMC4858117
  • Subject: tissue microarrays | 3122 Cancers | breast tumours | Original Article | 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
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