Objective: Obesity and mediators of inflammation have been identified as the most important risk and predictive factors in postmenopausal breast cancer (BC) survivors using aromatase inhibitors (AIs). This study was conducted to assess the impact of point of care technology (PCOT) as part of pathology supported genetic testing (PSGT) to prevent BC therapy-associated comorbidities in African settings.
Results: The study revealed that high sensitivity C-reactive protein (hs-CRP) and body mass index (BMI) are predictors of cardiovascular (CVD) related adverse events in obese postmenopausal patients subjected to AIs. There were statistically significant variations in total body fat (TBF), weight, hs-CRP, body mass index (BMI), homocysteine, ferritin, and calcium between baseline and after 24 months of follow-up. The above inflammatory markers can be incorporated in pathology supported genetic testing (PSGT) using HyBeacon® probe technology at POC for prediction and management of AI-associated adverse events among postmenopausal breast cancer survivors and associated comorbidities. The barriers for implementation of POCT application among six African countries for diagnosis of breast cancer were documented as insufficient of BC diagnosis and management capacity at different levels of health system.