Evaluating and Following Breast Cancer Patients in a Better Way

Overview

The current observational study aims at analysing current semiology on breast cancer patients aiming at noting indicators and signs with significant relationship with the disease outcomes. To reach the primary objective, of identifying most prominent indicators and signs, a study group of at least 100 female patients with breast cancer diagnosis will be recruited to participate voluntarily. The study group will include at least 20 patients with metastatic cancer and 30 patients with indication to adjuvant chemotherapy. Their physical activity habits and lifestyle will be noted. The observational study will consist in the periodic registration of the overall physical and psychological condition. The variables and tests below will be measured and registered, periodically: * periodical assessment of the quality of life * periodical assessment of the fitness status of the subjects * assessment of changes in bone density/progression of osteoporosis * assessment of changes in cognitive function * assessment of sleep disorders The collected results will be statistically analysed, in order to: * Identify variables that are statistically significantly different from expected values * quantify statistically significant differences, whenever possible The results will be used to better describe the breast cancer population

Breast Cancer treatment is expected to have the best outcome when adapted to the patients' health, and physical condition. The investigators aim at contributing to produce an improved algorithm to evaluate breast cancer patients. The semiologic evaluation of patients is changing, as a result of scientific advances, easier and rapid access to information, the incorporation of ICT (information and communication technologies) etc. Profound changes are expected, namely in incorporating new technologies to improve patient's evaluation. Medicine is also called to give better support to cancer patients, which disease is not active but may evolve in the future. Cancer is more and more regarded as a chronic ailment, as the acute life-threatening conditions are fortunately becoming less and less frequent. In these cases, medicine is requested to provide ways of improving longevity with quality of life. Physical activity may play an important role in achieving such a goal. The investigators think that possibly the same kind of approach, i.e. considering physical activity, although to a different extent, should also be considered in the case of some patients with active disease. Human relationships play a very important role in supporting the patients' wellness, in impacting their quality of life, and in ensuring that the patients have the most adequate treatment, taking into account their true health conditions. This change of paradigm in Medicine is very important in areas as Oncology. Clinicians need new tools to give the best treatment to patients. These new tools will certainly soon incorporate new technologies that will call for different patterns of patients' validation. The question to be answered is if whether or not the introduction of new variables for the assessment of disease progression/quality of life of breast cancer patients and survivors will help improve medical reasoning of the general condition of the patient. As future goals, subsequently to the present observational study, the investigators look forward to provide answers to: * what kind of physical and cognitive evaluation should be offered to Breast Cancer Patients? * How can existing knowledge on physical motility be incorporated in the clinical practice? Namely in physical, and cognitive evaluation? (and finally assessing if such evaluation has practical impact) Moreover, the extended data set, expected to be obtained in the current study, is likely to be useful in developing strategies to motivate patients to follow an active lifestyle and balanced diet, as well as in helping adapt interventions that aim at improving survival rates and the quality of life. The relevant observations, summarized in this study, are expected to positively act on semiology evaluation of the breast cancer patients on daily medical practice, through an improved algorithm. Such algorithm should be suitable for the clinical practice and compatible with artificial intelligence tools.