• Medientyp: E-Artikel
  • Titel: Age- and Tumor Subtype–Specific Breast Cancer Risk Estimates for CHEK2*1100delC Carriers
  • Beteiligte: Schmidt, Marjanka K.; Hogervorst, Frans; van Hien, Richard; Cornelissen, Sten; Broeks, Annegien; Adank, Muriel A.; Meijers, Hanne; Waisfisz, Quinten; Hollestelle, Antoinette; Schutte, Mieke; van den Ouweland, Ans; Hooning, Maartje; Andrulis, Irene L.; Anton-Culver, Hoda; Antonenkova, Natalia N.; Antoniou, Antonis C.; Arndt, Volker; Bermisheva, Marina; Bogdanova, Natalia V.; Bolla, Manjeet K.; Brauch, Hiltrud; Brenner, Hermann; Brüning, Thomas; Burwinkel, Barbara; [...]
  • Erschienen: American Society of Clinical Oncology (ASCO), 2016
  • Erschienen in: Journal of Clinical Oncology
  • Sprache: Englisch
  • DOI: 10.1200/jco.2016.66.5844
  • ISSN: 0732-183X; 1527-7755
  • Schlagwörter: Cancer Research ; Oncology
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:sec><jats:title>Purpose</jats:title><jats:p> CHEK2*1100delC is a well-established breast cancer risk variant that is most prevalent in European populations; however, there are limited data on risk of breast cancer by age and tumor subtype, which limits its usefulness in breast cancer risk prediction. We aimed to generate tumor subtype- and age-specific risk estimates by using data from the Breast Cancer Association Consortium, including 44,777 patients with breast cancer and 42,997 controls from 33 studies genotyped for CHEK2*1100delC. </jats:p></jats:sec><jats:sec><jats:title>Patients and Methods</jats:title><jats:p> CHEK2*1100delC genotyping was mostly done by a custom Taqman assay. Breast cancer odds ratios (ORs) for CHEK2*1100delC carriers versus noncarriers were estimated by using logistic regression and adjusted for study (categorical) and age. Main analyses included patients with invasive breast cancer from population- and hospital-based studies. </jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p> Proportions of heterozygous CHEK2*1100delC carriers in controls, in patients with breast cancer from population- and hospital-based studies, and in patients with breast cancer from familial- and clinical genetics center–based studies were 0.5%, 1.3%, and 3.0%, respectively. The estimated OR for invasive breast cancer was 2.26 (95%CI, 1.90 to 2.69; P = 2.3 × 10<jats:sup>−20</jats:sup>). The OR was higher for estrogen receptor (ER)–positive disease (2.55 [95%CI, 2.10 to 3.10; P = 4.9 × 10<jats:sup>−21</jats:sup>]) than it was for ER-negative disease (1.32 [95%CI, 0.93 to 1.88; P = .12]; P interaction = 9.9 × 10<jats:sup>−4</jats:sup>). The OR significantly declined with attained age for breast cancer overall (P = .001) and for ER-positive tumors (P = .001). Estimated cumulative risks for development of ER-positive and ER-negative tumors by age 80 in CHEK2*1100delC carriers were 20% and 3%, respectively, compared with 9% and 2%, respectively, in the general population of the United Kingdom. </jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p> These CHEK2*1100delC breast cancer risk estimates provide a basis for incorporating CHEK2*1100delC into breast cancer risk prediction models and into guidelines for intensified screening and follow-up. </jats:p></jats:sec>
  • Zugangsstatus: Freier Zugang