Document Type : Original Article(s)
Authors
1
Professor, Infectious Diseases and Tropical Medicine Research Center, Department of Pathology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
2
Assistant, Professor of Pathology, Department of Pathology, School of Medicine, Al-Zahra Hospital, Isfahan University of Medical Sciences, Isfahan, Iran
3
School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
10.48305/jims.2025.45167.2433
Abstract
Background: Breast cancer is a very diverse disease in terms of clinical manifestations, biological behavior and response to treatment. Local invasion of vascular-lymphatic, neural and cutaneous tissues is one of the most important factors that can be effective in predicting tumor behavior, response to treatment and prognosis. In this regard, the study was conducted with the aim of comparing the frequency distribution of vascular-lymphatic, neural and cutaneous invasion in molecular subgroups of breast cancer.
Methods: In a cross-sectional study, breast cancer samples that were examined and reported in the pathology laboratory of Al-Zahra Hospital in Isfahan between 2013 and 2018 were included in the study, and clinicopathological information, tissue invasion and their subtypes were determined and extracted. Chi square test was performed to determine the presence of significant differences in types of tissue invasion.
Findings: Lymphovascular invasion was the most common type of invasion (80.4%) followed by perineural and cutaneous invasion (28.4% and 26.8%, respectively). Lymphovascular invasion was significantly higher in the basal like subgroup (P = 0.04) and lower in the Luminal A subgroup (P = 0.01). Perineural and cutaneous invasion were not significantly different among subgroups.
Conclusion: Lymphovascular invasion was significantly higher in basal like subgroup and less in the Luminal A subgroup. Also, Perineural, cutaneous and nipple invasion showed no significant difference among subgroups. The findings of this study are applicable for the health system.
Highlights
Azar Baradaran: Google Scholar
Maryam Derakhshan: Google Scholar
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