Artificial Intelligence Improves Breast Cancer Screening in Study
An artificial intelligence (AI) system for breast cancer screening outperformed radiologists in a recent study in Nature. The technique spotted more cancers and raised fewer false alarms.
According to a study published in theInternational Journal of Cancer, light pollution at night time may increase breast cancer risk by 10% in post-menopausal women.inews
Publication date: 2 June 2020Source: Cell Reports, Volume 31, Issue 9Author(s): Lisa M. Becker, Joyce T. O’Connell, Annie P. Vo, Margo P. Cain, Desiree Tampe, Lauren Bizarro, Hikaru Sugimoto, Anna K. McGow, John M. Asara, Sara Lovisa, Kathleen M. McAndrews, Rafal Zielinski, Philip L. Lorenzi, Michael Zeisberg, Sughra Raza, Valerie S. LeBleu, Raghu Kalluri
ABSTRACT Objective To assess the outcome of an educational nutritional intervention in the quality of diet of women with breast cancer in adjuvant treatment. Methods Women with breast cancer and admitted for surgical treatment were divided in an intervention group (n=18) and a comparison group (n=78), and participated in a nonrandomized clinical trial. Participants were assessed before and after the treatment and/or intervention. A food frequency questionnaire was applied and the quality of diet was calculated using the Brazilian Healthy Eating Index Revised. The educational nutritional intervention lasted 12 months and wa...
DISCUSSION: Our results clearly demonstrate that the tECM is able to shift the gene expression pattern of murine mammary epithelial cells towards that of carcinoma, indicating a role in breast cancer initiation. These data underlines that the acellular component of the tumor (ECM) can lead to a transformation of mammary gland tissue cells. These data show for the first time that the interaction of normal breast tissue cells with tumor ECM leads to an exchange of information and a consecutive overexpression of tumor-specific genes. PMID: 31796667 [PubMed - indexed for MEDLINE]
Conclusions: In this population-based study, the detection of breast cancer gradually increased with GLP-1 RA weight loss categories, particularly among those achieving>10% weight loss. These results are consistent with the hypothesis that substantial weight loss with GLP-1 RAs may improve detection of breast cancer among obese patients with type 2 diabetes.
Authors: Gomes I, de Almeida BP, Dâmaso S, Mansinho A, Correia I, Henriques S, Cruz-Duarte R, Vilhais G, Félix P, Alves P, Corredeira P, Barbosa-Morais NL, Costa L, Casimiro S Abstract The role of RANKL-RANK pathway in progesterone-driven mammary carcinogenesis and triple negative breast cancer tumorigenesis has been well characterized. However, and despite evidences of the existence of RANK-positive hormone receptor (HR)-positive breast tumors, the implication of RANK expression in HR-positive breast cancers has not been addressed before. Here, we report that RANK pathway affects the expression of cel...