Impact of an osteoporosis specialized unit on bone health in breast cancer survivals treated with aromatase inhibitors

Effects of Selective and Nonselective Beta Blockers on Bone Mineral Density in Mexican Patients with Breast Cancer

Breast cancer (BCa) is related to chronic stress and can reduce the bone mineral density (BMD) through neurochemicals related to beta-adrenergic receptor (ADRB) 1 and 2. Selective beta blockers (sBBs) and nonselective beta blockers (nsBBs) are used to treat systemic arterial hypertension (SAH) and may have osteoprotective effects, as they inhibit ADRBs. To evaluate the effects of sBBs and nsBBs on the BMD of Mexican patients with BCa. A retrospective study was conducted. We included 191 Mexican women with BCa without SAH and with SAH treated with nsBBs, sBBs, and diuretics. BMD was evaluated using a bone density scan (DEX scan). A greater average BMD (p < 0.05) was observed in patients with prior treatment with both nsBBs and sBBs (0.54 ± 0.94 and -0.44 ± 1.22, respectively) compared to patients treated with diuretics or without SAH (-1.73 ± 0.83 and -1.22 ± 0.98, respectively). Regarding the diagnosis of osteoporosis/osteopenia, no cases were observed in patients treated with nsBBs, whereas 5.6% of the patients treated with sBBs presented osteopenia. A total of 23.1% and 10.6% patients managed with diuretics or without treatment presented with osteoporosis and 61.5% and 48% patients managed with loop diuretics and without treatment presented with osteopenia, respectively (p < 0.05). Treatment with nsBBs is a promising option for the prevention and management of osteoporosis/osteopenia in Mexican patients with BCa; however, further prospective studies are needed.

Prevention of aromatase inhibitor-induced bone loss with anti-resorptive therapy in post-menopausal women with early-stage breast cancer

We assessed if antiresorptive treatment can prevent aromatase inhibitor-induced bone loss in patients with early breast cancer. We observed that patients who did not receive antiresorptive treatment had a 20.8-fold increase in risk of bone loss after 24 months of aromatase inhibitors therapy.

PURPOSE

This study aimed to describe changes in femoral and lumbar bone mineral density (BMD) after 24 months of aromatase inhibitors (AIs) and antiresorptive treatment in postmenopausal women with estrogen receptor-positive breast cancer.

METHODS

Prospective, longitudinal study in a real-life setting with a 2-year follow-up. Patients underwent a complete baseline bone assessment including clinical assessment, biological evaluation, BMD measurement, and spine X-ray. Antiresorptive treatment was prescribed to patients with a T-score <  - 2 or a T-score <  - 1.5 SD with additional osteoporosis risk factors. A follow-up bone assessment was carried out after 24 months.

RESULTS

Among 328 patients referred to our center, 168 patients (67.7 ± 10.6 years) were included in our study, and 144 were eligible for antiresorptive treatment. After 24 months, patients receiving antiresorptive treatment experienced a significant increase of + 6.28% in femoral-BMD (F-BMD) and + 7.79% in lumbar-BMD (L-BMD). This increase was not significantly different between osteoporotic and osteopenic patients. Conversely, patients not receiving antiresorptive treatment presented significant F-BMD and L-BMD loss regardless of the baseline BMD. In the multivariate logistic model, the lack of antiresorptive treatment was the only predictive factor for major femoral bone loss with a 20.83 odds ratio (CI95%:4.2-100, p < 0.001).

CONCLUSION

This real-life study confirmed that antiresorptive treatment significantly increases femoral and lumbar BMD regardless of the baseline BMD in postmenopausal patients receiving AIs for early breast cancer. Patients who did not receive antiresorptive treatment had a 20.8-fold increased risk of major bone loss. Nevertheless, the best threshold to adopt for starting antiresorptive agents remains undetermined.

The influence of age, menstrual state and body mass index on the relation between osteopenia and osteoporosis associated with breast cancer

Osteoporosis and body mass index (BMI) have been reported to be associated with breast cancer. The correlation between other types of bone loss and breast cancer requires further illustrative evidence. Effect of age and menstrual state on the relationship of osteoporosis, osteopenia and BMI with breast cancer was evaluated in this study. Two hundred breast cancer patients and 200 breast cancer-free patients were included in a case-control study. Bone mineral density (BMD) and BMI were determined in all subjects. Postmenopause was the most frequent menstrual state. osteopenia was found to be significant in breast cancer patients and osteoporosis was significant in another group of women. There was no significant difference between breast cancer patients and control women in terms of age and menstrual status. Obesity was common in all subjects. In conclusion, bone loss rates are significantly low in breast cancer patients relative to healthy women. There was no significant impact of age, menstrual status or BMI on the development of osteopenia or osteoporosis in breast cancer patients. In addition, BMD analytical results may identify the appropriate treatment for bone loss. A routine check-up of osteopenia or osteoporosis is highly recommended for breast cancer patients.Impact StatementWhat is already known on this subject? Breast cancer may be associated with a wide variety of human body parameters. These parameters can include age, body mass index (BMI), obesity and menstrual status. There is also a correlation between osteoporosis and breast cancer.What do the results of this study add? Osteopenia is the most frequent form of bone loss among women with breast cancer. In contrast, osteoporosis as the worst stage of bone loss is unusual in these patients. Factors such as age, menstruation and BMI have no effect on the development of breast cancer.What are the implications of these findings for clinical practice and/or further research? Identification of the type of bone loss in women with breast cancer is essential to determine the appropriate type of therapy.