Publications by authors named "B A Rosner"
Case-control studies of sun exposure and ultraviolet radiation (UVR) have consistently reported inverse associations with non-Hodgkin lymphoma (NHL) risk, but prospective studies have yielded mixed results. Few studies have explored these exposures in relation to multiple myeloma (MM) risk. To further evaluate these associations with NHL and MM risk and identify etiologically relevant exposure timing, we pooled data on 566,693 individuals from 6 United States (U.
View Article and Find Full Text PDFReproductive factors are well-established risk factors for breast cancer. The prevailing hypothesis suggested that stem cell changes may be the key underlying mechanisms, but epidemiological evidence has been notably scarce. Herein we examined the relationship between reproductive risk factors and the expression of well-established stem cell markers CD44, CD24, and ALDH1A1 in benign breast biopsy non-cancerous samples.
View Article and Find Full Text PDFArticle Synopsis
- Current long-term risk prediction models for breast cancer are not fully utilizing past mammogram images, and dynamic models have not been explored for routine medical use.
- A study examined a large group of women, analyzing their mammogram data over time to create a dynamic model that predicts the 5-year risk of developing breast cancer.
- The results showed that incorporating previous mammogram images significantly improved risk prediction, identifying high-risk women who could benefit from further screening or preventive measures.
Background: Prolactin, a hormone produced by the pituitary gland, regulates breast development and may contribute to breast cancer etiology. However, most epidemiologic studies of prolactin and breast cancer have been restricted to single, often small, study samples with limited exploration of effect modification.
Methods: The Biomarkers in Breast Cancer Risk Prediction consortium includes 8,279 postmenopausal women sampled from four prospective cohort studies, of whom 3,441 were diagnosed with invasive breast cancer after enrollment.
Background: Dietary patterns promoting chronic inflammation, including the empirical dietary inflammatory pattern (EDIP), have been associated with certain cancers. Investigating whether this dietary pattern is associated with breast cancer-where the role of inflammation is less well-defined-could provide valuable insights and potentially improve strategies for preventing this cancer.
Methods: We prospectively followed 76,386 women from Nurses' Health Study (NHS, 1984-2018) and 92,886 women from Nurses' Health Study II (NHSII, 1991-2019).