ABSTRACT
Background: In the last 20 years in European Union states, the life expectancy did not change much. In the period 2012-2021 the average life expectancy remained almost constant at 82 years. Breast cancer represents the main cause of death by cancer in women The purpose of this research is to identify o identify and measure the influence of some medical interventions and procedures related to breast cancer on life expectancy. In our article, the target group is the feminine population from 27 EU countries. Methodology: For the analysis several indicators provided by Eurostat were considered: life expectancy for female population as a dependent variable and breast cancer screenings, surgical operations and procedures performed in hospitals (partial and total excision) were used as independent variables. The research used a mathematical model (regression panel) for 27 EU countries, for a 10 year period, to evaluate the impact of each independent variable on the life expectancy in EU as a whole. Results: From a statistical point of view, screening has a significant effect on life expectancy. On the other hand, surgical interventions have a role in the overall medical process and positively influence life expectancy. The panel model has shown that partial interventions contribute less than screening procedures to increase life expectancy. Conclusion: The development of mathematical models in health care is useful in the process of improving health care quality. In our days, the measurement and quantification of some medical methods is particularly difficult due to so many variables and observations. In these difficult circumstances, the mathematical models could bring some clarifications and structure.
Subject(s)
Breast Neoplasms , Humans , Female , Breast Neoplasms/diagnosis , Breast Neoplasms/surgery , European Union , Early Detection of Cancer , Treatment Outcome , Life Expectancy , Models, TheoreticalABSTRACT
The influence of excess adipose tissue on the evolution and prognosis of breast cancer has been evaluated in numerous papers over the years. The ways in which obesity can influence the development, progression, and prognosis of this neoplasia are complex and requires the design of new studies, both clinical and preclinical. The aim of this study is to highlight a possible correlation between obesity-specific tumor microenvironment markers (adipokine or leptin) and the different histological subtypes and aggressive characteristics of breast tumors. We prospectively monitored the prognostic values of 39 patients diagnosed with breast cancer who received oncologic-specific treatment or are in follow-up regarding some obesity markers. Our analysis included parameters such as age, body mass index, immunohistochemical characteristics, and plasma concentration of leptin. The methodology was designed to reveal a possible correlation between obesity (quantified by measuring body mass index and waist circumference), the plasma level of leptin, and breast tumor immunohistochemical characteristics. The patients diagnosed with aggressive tumors subtypes (HER2-positive and triple-negative) had a significantly higher body mass index than patients diagnosed with luminal type tumors (32 kg/sqm versus 27 kg/sqm), the difference being 5 kg/sqm. In patients with non-luminal type breast tumors (HER2-positive and triple-negative), serum concentration of leptin is 55 pg/ml compared to 48 pg/ml in luminal type, statistically significant, p=0.0168. Leptin plays an important role in the connection of specific microenvironment tumors to breast cancer. An increased serum concentration of this adipokine was found in patients with HER2-positive and triple-negative breast tumors compared with luminal-type breast tumors, which could open new directions in the research of breast cancer prognosis in obese patients.
