Claire M B Holloway1,2, Li Jiang3, Marlo Whitehead4, Jennifer M Racz5, Patti A Groome6. 1. Department of Surgery, University of Toronto, Toronto, ON, Canada. claire.holloway@sunnybrook.ca. 2. Sunnybrook Health Sciences Centre, T2-109 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada. claire.holloway@sunnybrook.ca. 3. Critical Care Services Ontario, University Health Network, Toronto, Canada. 4. Institute for Clinical Evaluative Sciences, Queen's University, Kingston, ON, Canada. 5. Division of Breast, Endocrine, Metabolic and Gastrointestinal Surgery, Department of Surgery, Mayo Clinic, Rochester, MN, USA. 6. Institute for Clinical Evaluative Sciences and Division of Cancer Care and Epidemiology, Cancer Research Institute, Queen's University, Kingston, ON, Canada.
Abstract
PURPOSE: Mortality reduction attributable to organized breast screening is modest. Screening may be less effective at detecting more aggressive cancers at an earlier stage. This study was conducted to determine the relative efficacy of screening mammography to detect cancers at an earlier stage by molecular phenotype. METHODS: We identified 2882 women with primary invasive breast cancer diagnosed between January 1, 2008 and December 31, 2012 and who had a mammogram through the Ontario Breast Screening Program in the 28 months before diagnosis. Five tumor phenotypes were defined by expression of estrogen (ER) and progesterone (PR) receptors and HER2/neu oncogene. We conducted univariable and multivariable analyses to describe the predictors of detection as an interval cancer. Additional analyses identified predictors of detection at stages II, III, or IV compared with stage I, by phenotype. Analyses were adjusted for the effects of age, grade, and breast density. RESULTS: ER negative and HER2 positive tumors were over-represented among interval cancers, and triple negative cancers were more likely than ER +/HER2 - cancers to be detected as interval cancers OR 2.5 (95% CI 2.0-3.2, p < 0.0001). Method of detection (interval vs. screen) and molecular phenotype were independently associated with stage at diagnosis (p < 0.0001), but there was no interaction between method of detection and phenotype (p = 0.44). CONCLUSION: In a screened population, triple negative and HER2 + breast cancers are diagnosed at a higher stage but this appears to be due to higher growth rates of these tumors rather than a relative inability of screening to detect them.
PURPOSE: Mortality reduction attributable to organized breast screening is modest. Screening may be less effective at detecting more aggressive cancers at an earlier stage. This study was conducted to determine the relative efficacy of screening mammography to detect cancers at an earlier stage by molecular phenotype. METHODS: We identified 2882 women with primary invasive breast cancer diagnosed between January 1, 2008 and December 31, 2012 and who had a mammogram through the Ontario Breast Screening Program in the 28 months before diagnosis. Five tumor phenotypes were defined by expression of estrogen (ER) and progesterone (PR) receptors and HER2/neu oncogene. We conducted univariable and multivariable analyses to describe the predictors of detection as an interval cancer. Additional analyses identified predictors of detection at stages II, III, or IV compared with stage I, by phenotype. Analyses were adjusted for the effects of age, grade, and breast density. RESULTS: ER negative and HER2 positive tumors were over-represented among interval cancers, and triple negative cancers were more likely than ER +/HER2 - cancers to be detected as interval cancers OR 2.5 (95% CI 2.0-3.2, p < 0.0001). Method of detection (interval vs. screen) and molecular phenotype were independently associated with stage at diagnosis (p < 0.0001), but there was no interaction between method of detection and phenotype (p = 0.44). CONCLUSION: In a screened population, triple negative and HER2 + breast cancers are diagnosed at a higher stage but this appears to be due to higher growth rates of these tumors rather than a relative inability of screening to detect them.
Entities:
Keywords:
Biomarkers; Breast cancer; Cancer staging; Screening
Authors: Diego Munoz; Aimee M Near; Nicolien T van Ravesteyn; Sandra J Lee; Clyde B Schechter; Oguzhan Alagoz; Donald A Berry; Elizabeth S Burnside; Yaojen Chang; Gary Chisholm; Harry J de Koning; Mehmet Ali Ergun; Eveline A M Heijnsdijk; Hui Huang; Natasha K Stout; Brian L Sprague; Amy Trentham-Dietz; Jeanne S Mandelblatt; Sylvia K Plevritis Journal: J Natl Cancer Inst Date: 2014-09-24 Impact factor: 13.506
Authors: P L Porter; A Y El-Bastawissi; M T Mandelson; M G Lin; N Khalid; E A Watney; L Cousens; D White; S Taplin; E White Journal: J Natl Cancer Inst Date: 1999-12-01 Impact factor: 13.506
Authors: Natalie G Coburn; Blake Cady; John P Fulton; Calvin Law; Maureen A Chung Journal: Breast Cancer Res Treat Date: 2012-08-30 Impact factor: 4.872
Authors: Victoria A Kirsh; Anna M Chiarelli; Sarah A Edwards; Frances P O'Malley; Rene S Shumak; Martin J Yaffe; Norman F Boyd Journal: J Natl Cancer Inst Date: 2011-05-03 Impact factor: 13.506
Authors: Laia Domingo; Jordi Blanch; Sònia Servitja; Josep Maria Corominas; Cristiane Murta-Nascimento; Antonio Rueda; Maximino Redondo; Xavier Castells; Maria Sala Journal: Eur J Cancer Prev Date: 2013-01 Impact factor: 2.497
Authors: Tiina Lehtimäki; Mikael Lundin; Nina Linder; Harri Sihto; Kaija Holli; Taina Turpeenniemi-Hujanen; Vesa Kataja; Jorma Isola; Heikki Joensuu; Johan Lundin Journal: Breast Cancer Res Date: 2011-12-28 Impact factor: 6.466
Authors: Marnix A de Roos; Bert van der Vegt; Jaap de Vries; Jelle Wesseling; Geertruida H de Bock Journal: Ann Surg Oncol Date: 2007-04-24 Impact factor: 5.344
Authors: Emma G MacInnes; Stephen W Duffy; Julie A Simpson; Matthew G Wallis; Anne E Turnbull; Louise S Wilkinson; Keshthra Satchithananda; Rumana Rahim; David Dodwell; Brian V Hogan; Oleg Blyuss; Nisha Sharma Journal: Breast Date: 2020-04-01 Impact factor: 4.380
Authors: Christine Brezden-Masley; Kelly E Fathers; Megan E Coombes; Behin Pourmirza; Cloris Xue; Katarzyna J Jerzak Journal: Breast Cancer Res Treat Date: 2020-10-22 Impact factor: 4.872