Document Type : Original Article
Authors
1 Department of Chemistry, Khajeh Nasir Toosi University of Technology, Tehran, Iran
2 Research Center Karaj Moallem, Karaj, Iran
Abstract
Invasive ductal carcinoma (IDC) breast cancer is one of the most common types of breast cancer among women, with a relatively high mortality rate. Introducing new diagnostic methods to the medical field can lead to a reduction in mortality. One of these methods is statistical monitoring and social screening of people with high risk of IDC cancer. Accordingly, many variables involved in the IDC occurrence should be identified and valued and finally classified. These variables include genetic factors involved in the IDC occurrence, environmental and unknown parameters. Addressing each of the factors requires extensive research. However, in this study, it has been tried to use three effective factors in the IDC occurrence, which include age, HR/HER2 status, and race, to provide a statistical model of the IDC occurrence. This information is reported based on the research of the American Cancer Society for 5 different races, aged 20 to over 79 and with different HR/HER2 status. In this study, a statistical analysis has been done based on the age, HR/HER2 status, and race. To provide a visual presentation of statistical analysis, Koch curve has been used with Python software, which is the best curve to show the progress of IDC disease. The results showed that people in the age group of 60 to 69, with HR+/HER2- status and white race are the people with higher probability of IDC. People in the age group of 20 to 39, with HR-/HER2+ status and with black race are less likely to develop IDC. In the same way, people with characteristics between these two states can be ranked.
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