Zahra M A Mohammed1, James J Going, Donald C McMillan, Clare Orange, Elizabeth Mallon, Julie C Doughty, Joanne Edwards. 1. Academic Unit of Surgery, College of Medical, Veterinary and Life Sciences, University of Glasgow, Royal InfirmaryUniversity Department of PathologyUnit of Experimental Therapeutics, Institute of Cancer, College of Medical, Veterinary and Life Sciences, University of Glasgow, Royal and Western InfirmaryDepartment of Surgery, Western Infirmary, Glasgow, UK.
Abstract
AIMS: To compare visual and computerized image analysis of HER2 immunohistochemistry (IHC) with fluorescence in-situ hybridization (FISH) for HER2 status, and to examine the relationships with outcome in patients with primary operable invasive ductal breast cancer. METHODS AND RESULTS: Tissue microarrays for 431 breast cancer patients were used to compare different approaches to the assessment of HER2 status. The cores were scored visually and with the Slidepath Tissue IA system, using the NICE-approved scoring system for the HercepTest, as well as by FISH. The agreement between visual and image analysis of HER2 IHC was excellent [interclass correlation coefficient (ICCC) = 0.95, rs = 0.90, r = 0.91, k = 0.81, and P < 0.001]. The agreement of HER2 FISH with visual and image analysis of HER2 IHC was also excellent (ICCC = 0.95 and ICCC = 0.92, respectively). Univariate survival analysis showed equivalent associations of visual and image analysis of HER2 and HER2 FISH with both recurrence-free survival (all P < 0.01) and cancer-specific survival (all P < 0.05) in patients with invasive ductal breast cancer. CONCLUSION: Computerized image analysis of HER2 IHC gives results comparable to those obtained with visual assessment, with possible advantages in diagnostic pathology.
AIMS: To compare visual and computerized image analysis of HER2 immunohistochemistry (IHC) with fluorescence in-situ hybridization (FISH) for HER2 status, and to examine the relationships with outcome in patients with primary operable invasive ductal breast cancer. METHODS AND RESULTS: Tissue microarrays for 431 breast cancerpatients were used to compare different approaches to the assessment of HER2 status. The cores were scored visually and with the Slidepath Tissue IA system, using the NICE-approved scoring system for the HercepTest, as well as by FISH. The agreement between visual and image analysis of HER2 IHC was excellent [interclass correlation coefficient (ICCC) = 0.95, rs = 0.90, r = 0.91, k = 0.81, and P < 0.001]. The agreement of HER2 FISH with visual and image analysis of HER2 IHC was also excellent (ICCC = 0.95 and ICCC = 0.92, respectively). Univariate survival analysis showed equivalent associations of visual and image analysis of HER2 and HER2 FISH with both recurrence-free survival (all P < 0.01) and cancer-specific survival (all P < 0.05) in patients with invasive ductal breast cancer. CONCLUSION: Computerized image analysis of HER2 IHC gives results comparable to those obtained with visual assessment, with possible advantages in diagnostic pathology.
Authors: Fadia J A Gujam; James J Going; Zahra M A Mohammed; Clare Orange; Joanne Edwards; Donald C McMillan Journal: BMC Cancer Date: 2014-09-18 Impact factor: 4.430
Authors: Filipe C Lourenço; June Munro; Jennifer Brown; Julia Cordero; Rhoda Stefanatos; Karen Strathdee; Clare Orange; Stephan M Feller; Owen J Sansom; Marcos Vidal; Graeme I Murray; Michael F Olson Journal: Gut Date: 2013-04-12 Impact factor: 23.059
Authors: Laura McDonald; Nicola Ferrari; Anne Terry; Margaret Bell; Zahra M Mohammed; Clare Orange; Alma Jenkins; William J Muller; Barry A Gusterson; James C Neil; Joanne Edwards; Joanna S Morris; Ewan R Cameron; Karen Blyth Journal: Dis Model Mech Date: 2014-03-13 Impact factor: 5.758
Authors: Nicola Ferrari; Zahra M A Mohammed; Colin Nixon; Susan M Mason; Elizabeth Mallon; Donald C McMillan; Joanna S Morris; Ewan R Cameron; Joanne Edwards; Karen Blyth Journal: PLoS One Date: 2014-06-26 Impact factor: 3.240
Authors: Donald C McMillan; Joanne Edwards; Elizabeth Mallon; Julie C Doughty; Clare Orange; James J Going; Zahra Ma Mohammed Journal: BMC Clin Pathol Date: 2013-11-25