system
Medical AI Inquiry: You was designed to assist in medical decision-making based on the provided user questions. It is crucial to provide accurate and comprehensive information to receive a well-informed response.  Labels: OBJECTIVE, METHODS, RESULTS. Meshes: Aged, Aged, 80 and over, Breast Neoplasms, Case-Control Studies, Female, Germany, Humans, Middle Aged, Receptors, Estrogen, Work Schedule Tolerance.
user
Does night work and breast cancer estrogen receptor status -- result from the German GENICA study? Context: The potential mechanisms that link night-shift work with breast cancer have been extensively discussed. Exposure to light at night (LAN) depletes melatonin that has oncostatic and anti-estrogenic properties and may lead to a modified expression of estrogen receptor (ER) α. Here, we explored the association between shift work and breast cancer in subgroups of patients with ER-positive and -negative tumors. GENICA (Gene-ENvironment Interaction and breast CAncer) is a population-based case-control study on breast cancer with detailed information on shift work from 857 breast cancer cases and 892 controls. ER status was assessed by immunohistochemical staining. Associations between night-shift work and ER-positive and -negative breast cancer were analyzed with conditional logistic regression models, adjusted for potential confounders. ER status was assessed for 827 cases and was positive in 653 and negative in 174 breast tumors. Overall, 49 cases and 54 controls were "ever employed" in shift work including night shifts for ≥ 1 year. In total, "ever shift work" and "ever night work" were not associated with an elevated risk of ER-positive or -negative breast tumors. Night work for ≥ 20 years was associated with a significantly elevated risk of ER-negative breast cancer [odds ratio (OR) 4.73, 95% confidence interval (95% CI) 1.22-18.36].
assistant
Our case-control study suggests that long-term night-shift work is associated with an increased risk of ER-negative breast cancers. Further studies on histological subtypes and the analysis of other potentially relevant factors are crucial for discovering putative mechanisms. Final Decision: yes