Volume 33, Issue 2 (12-2023)
J Mazandaran Univ Med Sci 2023, 33(2): 181-191 |
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Zamaninasab F, Fendereski A, Godazandeh G, Yazdani-Charati J. Investigating the Correlation of Demographic and Paraclinical Characteristics in Metastasis to Lymph nodes in Breast Cancer in Mazandaran Province. J Mazandaran Univ Med Sci 2023; 33 (2) :181-191
URL: http://jmums.mazums.ac.ir/article-1-19707-en.html
URL: http://jmums.mazums.ac.ir/article-1-19707-en.html
Abstract: (660 Views)
Background and purpose: The status of axillary lymph nodes (ALN) is the most important prognostic factor in patients with primary breast cancer. The aim of this study is to measure the relationship between the factors influencing metastasis to the lymph nodes in patients with breast cancer.
Materials and methods: The present study is a retrospective cohort study. The research data were extracted from telephone interviews and medical records of 241 breast cancer patients in Mazandaran Medical Sciences Hospitals. For data analysis, the chi-square test and multiple logistic regression model using principal component analysis were used to determine the relationship between factors affecting metastasis to lymph nodes. All statistical analyses were performed using Stata software version 17, R and SPSS software version 26.
Results: The average age of patients at diagnosis is 52.03±10.932 years test revealed a significant correlation between the markers ER, PR, P53, Her2 and Ki67(P<0.05). After removing collinearity using principal component analysis, the variables age, tumor size, skin involvement, grade, tubule formation and nuclear pleomorphism were selected as input variables for multiple regression. The variable grade was significant with a p-value of 0.012.
Conclusion: It is very important to identify the factors that may be effective in predicting response to treatment or disease progression. In short, there is a significant correlation between the markers ER, PR, P53, Her2 and Ki67, and the variable grade is an important factor for lymph node metastasis.
Materials and methods: The present study is a retrospective cohort study. The research data were extracted from telephone interviews and medical records of 241 breast cancer patients in Mazandaran Medical Sciences Hospitals. For data analysis, the chi-square test and multiple logistic regression model using principal component analysis were used to determine the relationship between factors affecting metastasis to lymph nodes. All statistical analyses were performed using Stata software version 17, R and SPSS software version 26.
Results: The average age of patients at diagnosis is 52.03±10.932 years test revealed a significant correlation between the markers ER, PR, P53, Her2 and Ki67(P<0.05). After removing collinearity using principal component analysis, the variables age, tumor size, skin involvement, grade, tubule formation and nuclear pleomorphism were selected as input variables for multiple regression. The variable grade was significant with a p-value of 0.012.
Conclusion: It is very important to identify the factors that may be effective in predicting response to treatment or disease progression. In short, there is a significant correlation between the markers ER, PR, P53, Her2 and Ki67, and the variable grade is an important factor for lymph node metastasis.
Type of Study: Research(Original) |
Subject:
Biostatistics
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