Molecular subtypes of breast cancer in Libyan women and their clinicopathological associations: A retrospective observational study from eastern Libya

利比亚女性乳腺癌分子亚型及其临床病理关联:一项来自利比亚东部的回顾性观察研究

阅读:3

Abstract

Breast cancer (BC) is the most commonly diagnosed cancer among women globally, with significant regional variations in its molecular subtypes, clinical presentation, and management. Despite advancements in oncology, limited data exist on the molecular and clinical characteristics of BC in Libya. This study aims to analyze the prevalence of molecular subtypes, clinicopathological features, and treatment patterns among Libyan women with BC at Tobruk Medical Center. This retrospective observational study included BC patients diagnosed between January 2019 and December 2020 at Tobruk Medical Center. Demographic, clinical, pathological, and treatment-related data were extracted from medical records. Molecular subtyping was based on immunohistochemical assessment of estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2 (HER2), and Ki-67. Statistical analyses were performed using SPSS version 28 (IBM Corp., Armonk). Among 115 patients analyzed, the median age at diagnosis was 46 years. Invasive ductal carcinoma accounted for 89.6% of cases, with grade II tumors being the most common (69.6%). Luminal B was the predominant molecular subtype (67.8%), followed by luminal A (14.8%), HER2-enriched (10.4%), and triple-negative BC (7.0%). Advanced-stage diagnoses (stage III and IV) were observed in 57.4% of cases. Hormone receptor positivity was detected in 82.6%, and HER2 positivity in 25.2% of cases. This study highlights the high prevalence of advanced-stage BC and the predominance of the aggressive luminal B subtype in Libya. Targeted early detection programs and improved treatment access are urgently needed to address these challenges.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。