Objective: To explore intestinal flora differences in species diversity, community structure, and abundance of breast cancer and non-breast cancer populations with anxiety and depression and the corresponding group without anxiety and depression by 16S rRNA high-throughput sequencing technology.
Method: Breast cancer and non-breast cancer participants were recruited based on the inclusion and exclusion criteria as the research subjects. The study employed the anxiety self-assessment scale and the depression self-rating scale in the questionnaire survey to collect data.
Results: The scores of anxiety and depression of the four groups are as follows: In the breast cancer with anxiety and/or depression (BCAD) group, the anxiety score is 58.80 ± 5.27 and the depression score is 59.60 ± 4.94. In the breast cancer without anxiety and/or depression (BCWAD) group, the anxiety score is 36.53 ± 4.52 and the depression score is 38.20 ± 3.78. In the non-breast cancer group with anxiety and/or depression (HAD) group, the anxiety score is 57.87 ± 4.53 and the depression score is 59.13 ± 5.24. In the non-breast cancer group without anxiety and depression (HWAD) group, the anxiety score is 35.13 ± 5.28 and the depression score is 32.33 ± 4.37.
Conclusion: The intestinal flora of the breast cancer patients is significantly different from those of non-breast cancer patients, suggesting that there is an internal relationship between the changes in the intestinal flora and the occurrence and development of breast cancer. People with anxiety and depression without breast cancer show changes in their intestinal flora, suggesting that the changes of the intestinal flora can indeed trigger anxiety and depression. For the breast cancer patients with anxiety and depression, the intestinal flora shows a decrease in diversity and abundance, suggesting that the intestinal flora of the breast cancer patients with anxiety and depression undergo further changes. Thus the intestinal flora can become a new tool for monitoring, preventing, and treating the breast cancer and negative emotions.
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JAMA Netw Open
January 2025
Men's Health Inequities Research Lab, Milwaukee, Wisconsin.
Importance: Research indicates that social drivers of health are associated with cancer screening adherence, although the exact magnitude of these associations remains unclear.
Objective: To investigate the associations between individual-level social risks and nonadherence to guideline-recommended cancer screenings.
Design, Setting, And Participants: This cross-sectional study used 2022 Behavioral Risk Factor Surveillance System data from 39 US states and Washington, DC.
Arch Pharm Res
January 2025
Laboratory of Biochemistry and Immunology, College of Veterinary Medicine, Chungbuk National University, Cheongju, 28644, Republic of Korea.
Despite significant progress in the field of human breast cancer research and treatment, there is a consistent increase in the incidence rate of 0.5 percent annually, posing challenges in the development of effective novel therapeutic strategies. The failure rate of drugs in clinical trials stands at approximately 95%, primarily attributed to the limitations and lack of reliability of existing preclinical models, such as mice, which do not mimic human tumor biology.
View Article and Find Full Text PDFCurr Treat Options Oncol
January 2025
Department of Pharmacognosy, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysuru, Karnataka, India.
Integrating clinical datasets in breast cancer research emerges as a necessary tool for advancing our knowledge of the disease and enhancing patient outcomes. Synthesizing diverse datasets offers advantages, from facilitating evidence-based insights to enabling predictive analytics and precision medicine strategies. Crucially, effective integration of clinical datasets necessitates collaborative efforts, policy interventions, and technological advancements to elevate global standards of breast cancer care.
View Article and Find Full Text PDFCancer Causes Control
January 2025
North Valley Breast Clinic, 1335 Buenaventura Blvd, Suite 204, Redding, CA, 96001, USA.
Objectives: Automated breast ultrasound imaging (ABUS) results in a reduction in breast cancer stage at diagnosis beyond that seen with mammographic screening in women with increased breast density or who are at a high risk of breast cancer. It is unknown if the addition of ABUS to mammography or ABUS imaging alone, in this population, is a cost-effective screening strategy.
Methods: A discrete event simulation (Monte Carlo) model was developed to assess the costs of screening, diagnostic evaluation, biopsy, and breast cancer treatment.
Ann Surg Oncol
January 2025
Division of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA.
Background: Flat epithelial atypia (FEA), a rare breast proliferative lesion, is often diagnosed following core biopsy (CB) of mammographic microcalcifications. In the prospective multi-institution TBCRC 034 trial, we investigate the upgrade rate to ductal carcinoma in situ (DCIS) or invasive cancer following excision for patients diagnosed with FEA on CB.
Patients And Methods: Patients with a breast imaging reporting and data system (BI-RADS) ≤ 4 imaging abnormality and a concordant CB diagnosis of FEA were identified for excision.
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