title: Mode of detection: an independent prognostic factor for women with breast cancer.
abstract: To investigate breast cancer survival and risk of breast cancer death by detection mode (screen-detected, interval, and detected outside the screening programme), adjusting for prognostic and predictive tumour characteristics.
  
  
  
  Information about detection mode, prognostic (age, tumour size, histologic grade, lymph node status) and predictive factors (molecular subtypes based on immunohistochemical analyses of hormone receptor status (estrogen and progesterone) and Her2 status) were available for 8344 women in Norway aged 50-69 at diagnosis of breast cancer, 2005-2011. A total of 255 breast cancer deaths were registered by the end of 2011. Kaplan-Meier method was used to estimate six years breast cancer specific survival and Cox proportional hazard model to estimate hazard ratio (HR) for breast cancer death by detection mode, adjusting for prognostic and predictive factors.
  
  
  
  Women with screen-detected cancer had favourable prognostic and predictive tumour characteristics compared with interval cancers and those detected outside the screening programme. The favourable characteristics were present for screen-detected cancers, also within the subtypes. Adjusted HR of dying from breast cancer was two times higher for women with symptomatic breast cancer (interval or outside the screening), using screen-detected tumours as the reference.
  
  
  
  Detection mode is an independent prognostic factor for women diagnosed with breast cancer. Information on detection mode might be relevant for patient management to avoid overtreatment.
authors.affiliation: Department of Screening - Cancer Registry of Norway, Oslo Oslo and Akershus University College of Applied Sciences - Department of Radiography Solveig.Hofvind@kreftregisteret.no.
authors.forename: Solveig
authors.initials: S
authors.lastname: Hofvind
authors.affiliation: Department of Screening - Cancer Registry of Norway, Oslo.
authors.forename: Åsne
authors.initials: Å
authors.lastname: Holen
authors.affiliation: Department of Screening - Cancer Registry of Norway, Oslo National Advisory Unit for Women's Health - Oslo University Hospital.
authors.forename: Marta
authors.initials: M
authors.lastname: Román
authors.affiliation: Department of Screening - Cancer Registry of Norway, Oslo.
authors.forename: Sofie
authors.initials: S
authors.lastname: Sebuødegård
authors.affiliation: Epidemiology Unit and Girona Cancer Registry (UERCG)/University of Girona, Economics Campus Montilivi, Spain.
authors.forename: Montse
authors.initials: M
authors.lastname: Puig-Vives
authors.affiliation: University of Bergen Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, Norway/Haukeland University Hospital, Department of Pathology, Bergen, Norway.
authors.forename: Lars
authors.initials: L
authors.lastname: Akslen
mesh_terms: D000368:Aged; D014408:Biomarkers, Tumor / Q000097:blood; D001943:Breast Neoplasms / Q000097:blood / Q000000981:diagnostic imaging / Q000401:mortality* / Q000473:pathology; D055088:Early Detection of Cancer / Q000379:methods*; D005260:Female; D006801:Humans; D008327:Mammography / Q000706:statistics & numerical data*; D008875:Middle Aged; D009362:Neoplasm Metastasis; D009664:Norway; D011379:Prognosis; D016016:Proportional Hazards Models; D018719:Erb-b2 Receptor Tyrosine Kinases / Q000097:blood; D012307:Risk Factors; D016019:Survival Analysis
chemical_list: D014408:Biomarkers, Tumor; D018719:Erb-b2 Receptor Tyrosine Kinases; C508053:ERBB2 protein, human
keywords: Mammography; detection mode; screening; survival; tumour characteristics