Prajoko Yan Wisnu, Heriyanto Didik Setyo, Dirja Bayu Tirta, Susanto Susanto, Lau Vincent, Gunawan Andrew Nobiantoro, Halim Brigitta Natasya, Amalina Nur Dina
Department of Surgical Oncology, Faculty of Medicine, Universitas Diponegoro, Semarang, Indonesia.
Department of Anatomical Pathology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada/Dr. Sardjito General Hospital, Yogyakarta, Indonesia.
PLoS One. 2025 May 5;20(5):e0322154. doi: 10.1371/journal.pone.0322154. eCollection 2025.
Breast cancer (BC) is a global health concern with significant mortality rates, necessitating a deep understanding of its molecular landscape. Luminal A and B BC, characterized by estrogen receptor (ER) and/or progesterone receptor (PR) positivity, face challenges in endocrine therapy due to acquired resistance, frequently driven by PI3K/AKT/mTOR pathway activation. This study focuses on the frequency of PIK3CA mutations across molecular subtypes BC within the Indonesian population. The study analyzed collected samples from diverse Indonesian regions, representing various islands. Histopathological analysis and immunohistochemistry classified samples into molecular subtypes. Genetic analysis using PIK3CA mutation detection kits revealed a mutation frequency of 32.9%, with 30 (14.5%) samples located in exon 9 and 38 (18.4%) samples in exon 20. Statistical analyses highlighted associations between PIK3CA mutations and molecular subtypes (p = 0.029), with luminal B HER2-negative (40.5%) and luminal A (40.2%) exhibiting the highest mutation rate. A significant association was also observed between the exon location of only mutated PIK3CA samples and age group (p < 0.001), with most of the PIK3CA exon 9 being ≤ 50 years old (72.4%) and PIK3CA exon 20 being > 50 years old. No statistically significant association was observed between the location of PIK3CA mutation (exons 9 and 20) and the breast site, histopathological diagnosis, and molecular subtypes. Comparisons with existing literature and inconsistencies in PIK3CA mutation frequencies across different BC subtypes underline the need for population-specific research. The study emphasizes the importance of assessing PIK3CA mutations in BC management, offering insights for personalized therapies and potential advancements in understanding this complex disease within the Indonesian context.
乳腺癌(BC)是一个全球性的健康问题,死亡率很高,因此有必要深入了解其分子格局。管腔A型和B型乳腺癌以雌激素受体(ER)和/或孕激素受体(PR)阳性为特征,由于获得性耐药,在内分泌治疗中面临挑战,这种耐药通常由PI3K/AKT/mTOR通路激活驱动。本研究聚焦于印度尼西亚人群中不同分子亚型乳腺癌的PIK3CA突变频率。该研究分析了从印度尼西亚不同地区收集的样本,这些样本代表了各个岛屿。组织病理学分析和免疫组织化学将样本分类为分子亚型。使用PIK3CA突变检测试剂盒进行的基因分析显示,突变频率为32.9%,其中30个(14.5%)样本位于第9外显子,38个(18.4%)样本位于第20外显子。统计分析突出了PIK3CA突变与分子亚型之间的关联(p = 0.029),管腔B型HER2阴性(40.5%)和管腔A型(40.2%)的突变率最高。在仅发生PIK3CA突变的样本的外显子位置与年龄组之间也观察到显著关联(p < 0.001),大多数PIK3CA第9外显子的样本年龄≤50岁(72.4%),而PIK3CA第20外显子的样本年龄>50岁。未观察到PIK3CA突变位置(第9和20外显子)与乳房部位、组织病理学诊断和分子亚型之间存在统计学显著关联。与现有文献的比较以及不同乳腺癌亚型中PIK3CA突变频率的不一致凸显了开展针对特定人群研究的必要性。该研究强调了在乳腺癌管理中评估PIK3CA突变的重要性,为个性化治疗提供了见解,并为在印度尼西亚背景下理解这种复杂疾病带来了潜在进展。