
NEW YORK (Reuters Health), Nov 4 - Young patients with breast cancer who undergo lumpectomy followed by radiotherapy using tangential fields are at increased risk of contralateral breast cancer. This is particularly true for those with a positive family history of breast cancer, Dutch and U.S. researchers report in the October 14 online issue of the Journal of Clinical Oncology.
Given these findings, lead investigator Dr. Maartje Hooning told Reuters Health, "We should define in more detail the subgroup that is genetically susceptible to radiation-induced breast cancer. In the present study, germ-line mutation test results for BRCA1, BRCA2, or other predisposing genes were not available. In future studies, we must find out to what type of mutations this radiotherapy-susceptibility applies."
In their study, Hooning of the Netherlands Cancer Institute, Amsterdam, and colleagues assessed the risk of contralateral breast cancer in more than 7,200 predominantly young patients who had been treated between 1970 and 1986.
In those under the age of 35 years at the time of first treatment, the hazard ratio for contralateral breast cancer was 1.78, compared to a hazard ratio of 1.09 in those more than 45 years of age.
In women under the age of 45 years when treated, postmastectomy radiotherapy using direct electron fields led to a significantly lower radiation exposure to the contralateral breast than postlumpectomy radiotherapy using tangential fields. For the latter group compared to the former, the hazard ratio for contralateral breast cancer was 1.5.
Patients with three or more relatives with breast cancer experienced a 2.4-fold increased risk of contralateral breast cancer compared with patients with no affected relatives. Moreover, the joint effects of postlumpectomy tangential radiotherapy and a strong family history of breast cancer led to a hazard ratio for contralateral breast cancer of 3.52.
"Although the radiotherapy techniques of today will lead to a lower dose to the contralateral breast than the techniques presented in our study," concluded Hooning, "treating clinicians should be aware of the existing dose-response relationship for risk of contralateral breast cancer. Especially in young women, the radiation dose to the contralateral breast should be kept as low as possible."
By David Douglas
J Clin Oncol 2008;26.
Last Updated: 2008-11-04 10:20:52 -0400 (Reuters Health)
Related Reading
Family history of breast cancer confers lifetime elevated risk, May 14, 2008
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![Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/05/body-comp.XgAjTfPj1W.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)




