Assessment of potential risk factors for breast cancer in a population in Southern Brazil

The Experience of Mindfulness-Based Stress Reduction on Menopausal Symptoms, Sleep Disturbance, and Body Image among Patients with Breast Cancer-A Qualitative Study

BACKGROUND AND AIM

The objective was to decrease patient menopausal symptoms, sleep disturbance, and body image using a nonpharmacological therapy for cultivating key healthy lifestyle habits in patients with breast cancer.

MATERIALS AND METHODS

The participants were 26 women with breast cancer who had recently received structured mindfulness-based stress reduction (MBSR) training in a clinical trial. Focus groups and interviews were conducted, during which the participants were asked semistructured, open-ended questions regarding the experiences of MBSR.

RESULTS

The participants indicated that MBSR helped them to alleviate hot flashes and night sweats, and improve sleep quality and be more at ease with the external aspect of their body. On the other hand, during MBSR intervention in a group manner, the participants felt more psychological support and an outlet for sharing negative emotional experiences.

CONCLUSION

This study identified the short-term benefits associated with group-based MBSR for women with breast cancer. In addition, our research identified the difficulties of intervention measures and coping methods. The study described the benefits of MBSR for patients with breast cancer. The findings of this study will help nursing staff identify the main coping menopausal symptoms and control negative mental health.

Risk factors for breast cancer and their association with molecular subtypes in a population of Northeast Brazil

BACKGROUND

The risk factors for breast cancer (BC) among women in Brazilian populations are poorly understood. To date, few Brazilian studies have addressed the potential association between risk factors and molecular BC subtypes. This case-control study aimed to identify risk factors for BC in a population of Northeast Brazil.

METHODS

Data from 313 patients with invasive BC and 321 healthy controls were obtained from medical records from two cancer treatment centres and personal interviews. Of the 313 BC patients, 224 (71.6%) had reached menopause. The following distribution of subtypes was found among 301 patients: (1) Luminal A: 54 (17.9%); (2) Luminal B: 175 (58.1%); (3) HER2/neu: 29 (9.7%); and (4) triple-negative breast cancer (TNBC): 43 (14.3%). Odds ratios (ORs) and confidence intervals (CIs) were determined using regression analysis.

RESULTS

Regression modelling indicated that family history, obesity (≥ 30.0 kg/m²), alcohol consumption and contraceptive use increased the overall risk of BC 1.78 (95% CI: 1.22-2.59), 1.69 (95% CI: 1.08-2.63), 2.21 (95% CI: 1.44-3.39) and 2.99 (95% CI: 2.09-4.28) times, respectively. After stratification for menopausal status, alcohol consumption increased the risk of BC 4.15 (95% CI: 2.13-8.11) times, and obesity, as a single variable, increased the risk of BC 2.02 (95% CI: 1.22-3.37) times, only among postmenopausal women. In a case-control analysis, the risk of TNBC and Luminal B breast cancer were 4.06 (95% CI: 1.58-10.42) and 1.87 times (95% CI: 1.13-3.11) higher, respectively, in obese women than in non-obese women. Furthermore, alcohol consumption increased the risk of Luminal A and B subtypes 7.08 (3.40-14.73) and 1.77 (1.07-2.92) times, respectively.

CONCLUSION

Family history, contraceptive use, obesity and alcohol consumption increased the risk of BC. Obesity and alcohol consumption differentially increased risk of TNBC and Luminal molecular subtypes.

Tumor-related Microbiome in the Breast Microenvironment and Breast Cancer

Despite the significant progress in diagnosis and treatment over the past years in the understanding of breast cancer pathophysiology, it remains one of the leading causes of mortality worldwide among females. Novel technologies are needed to improve better diagnostic and therapeutic approaches, and to better understand the role of tumor-environment microbiome players involved in the progression of this disease. The gut environment is enriched with over 100 trillion microorganisms, which participate in metabolic diseases, obesity, and inflammation, and influence the response to therapy. In addition to the direct metabolic effects of the gut microbiome, accumulating evidence has revealed that a microbiome also exists in the breast and in breast cancer tissue. This microbiome enriched in the breast environment and the tumor microenvironment may modulate effects potentially associated with carcinogenesis and therapeutic interventions in breast tissue, which to date have not been properly acknowledged. Herein, we review the most recent works associated with the population dynamics of breast microbes and explore the significance of the microbiome on diagnosis, tumor development, response to chemotherapy, endocrine therapy, and immunotherapy. To overcome the low reproducibility of evaluations of tumor-related microbiome, sequencing technical escalation and machine deep learning algorithms may be valid for standardization of assessment for breast-related microbiome and their applications as powerful biomarkers for prognosis and predictive response in the future.

Cognitive-Behavioral Therapy to Alleviate Treatment-Induced Menopausal Symptoms in Women With Breast Cancer: A Systematic Review

BACKGROUND

Numerous women with breast cancer (BC) exhibit early menopausal symptoms after undergoing cancer treatments. Medications that control menopausal symptoms can cause severe side effects and are contraindicated for patients with BC. Therefore, complementary and alternative medicines should be used. This study investigates the use of cognitive-behavioral therapy (CBT) for patients with menopausal symptoms after BC treatment.

OBJECTIVE

A systematic review was conducted to determine the efficacy and availability of CBT interventions in reducing treatment-induced menopausal symptoms in female patients with BC.

METHODS

Keywords were searched in Medical Subject Headings and 5 databases. The search criteria included randomized controlled trials (RCTs), non-RCTs, and single-group pre- and post-studies. Because of the risk of bias in non-RCTs using Joanna Briggs Institute's critical appraisal tools and single-group studies, the Critical Appraisal Skills Programme checklist for qualitative studies and RCTs was appraised using the Jadad scale.

RESULTS

After the review, 9 suitable studies were identified. Standard CBT programs lasted for 6 consecutive weeks, with 1 session of 1.5 hours weekly. The follow-up time was approximately 9 to 26 weeks. Women receiving CBT exhibited improvement in physical function and psychological state. This review supported the use of CBT to effectively improve the mental health of and reduce treatment-induced menopausal symptoms in BC survivors.

CONCLUSIONS

Cognitive-behavioral therapy interventions yielded positive outcomes in patients with BC, particularly in those experiencing menopausal symptoms.

IMPLICATIONS FOR PRACTICE

Cancer treatment generated severe menopausal symptoms in patients with BC. However, health professionals may use CBT to alleviate patients' menopausal symptoms.

Modeling risk assessment for breast cancer in symptomatic women: a Saudi Arabian study

BACKGROUND

Despite the continuing increase in the breast cancer incidence rate among Saudi Arabian women, no breast cancer risk-prediction model is available in this population. The aim of this research was to develop a risk-assessment tool to distinguish between high risk and low risk of breast cancer in a sample of Saudi women who were screened for breast cancer.

METHODS

A retrospective chart review was conducted on symptomatic women who underwent breast mass biopsies between September 8, 2015 and November 8, 2017 at King Abdulaziz Medical City, Riyadh, Saudi Arabia.

RESULTS

A total of 404 (63.8%) malignant breast biopsies and 229 (36.2%) benign breast biopsies were analyzed. Women ≥40 years old (aOR: 6.202, CI 3.497-11.001, P=0.001), hormone-replacement therapy (aOR 24.365, 95% CI 8.606-68.987, P=0.001), postmenopausal (aOR 3.058, 95% CI 1.861-5.024, P=0.001), and with a family history of breast cancer (aOR 2.307, 95% CI 1.142-4.658, P=0.020) were independently associated with an increased risk of breast cancer. This model showed an acceptable fit and had area under the receiver-operating characteristic curve of 0.877 (95% CI 0.851-0.903), with optimism-corrected area under the curve of 0.865.

CONCLUSION

The prediction model developed in this study has a high ability in predicting increased breast cancer risk in our facility. Combining information on age, use of hormone therapy, postmenopausal status, and family history of breast cancer improved the degree of discriminatory accuracy of breast cancer prediction. Our risk model may assist in initiating population-screening programs and prompt clinical decision making to manage cases and prevent unfavorable outcomes.