Khanyile Richard, Chipiti Talent, Hull Rodney, Dlamini Zodwa
SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision Oncology and Cancer Prevention (POCP), Pan African Cancer Research Institute (PACRI), University of Pretoria, Hatfield 0028, South Africa.
Department of Medical Oncology, Steve Biko Academic Hospital and University of Pretoria, Pretoria 0001, South Africa.
Cancers (Basel). 2025 Feb 26;17(5):808. doi: 10.3390/cancers17050808.
Breast cancer poses a significant global health challenge and includes various subtypes, such as endocrine-positive, HER2-positive, and triple-negative. Endocrine-positive breast cancer, characterized by estrogen and progesterone receptors, is commonly treated with aromatase inhibitors. However, resistance to these inhibitors can hinder patient outcomes due to genetic and epigenetic alterations, mutations in the estrogen receptor 1 gene, and changes in signaling pathways. Radiogenomics combines imaging techniques like MRI and CT scans with genomic profiling methods to identify radiographic biomarkers associated with resistance. This approach enhances our understanding of resistance mechanisms and metastasis patterns, linking them to specific genomic profiles and common metastasis sites like the bone and brain. By integrating radiogenomic data, personalized treatment strategies can be developed, improving predictive and prognostic capabilities. Advancements in imaging and genomic technologies offer promising avenues for enhancing radiogenomic research. A thorough understanding of resistance mechanisms is crucial for developing effective treatment strategies, making radiogenomics a valuable integrative approach in personalized medicine that aims to improve clinical outcomes for patients with metastatic endocrine-positive breast cancer.
乳腺癌是一项重大的全球健康挑战,它包含多种亚型,如内分泌阳性、人表皮生长因子受体2(HER2)阳性和三阴性。以内分泌激素受体(雌激素和孕激素受体)为特征的内分泌阳性乳腺癌,通常采用芳香化酶抑制剂进行治疗。然而,由于基因和表观遗传改变、雌激素受体1基因的突变以及信号通路的变化,对这些抑制剂产生的耐药性可能会影响患者的治疗效果。放射基因组学将磁共振成像(MRI)和计算机断层扫描(CT)等成像技术与基因组分析方法相结合,以识别与耐药性相关的影像学生物标志物。这种方法增进了我们对耐药机制和转移模式的理解,并将它们与特定的基因组图谱以及骨和脑等常见转移部位联系起来。通过整合放射基因组数据,可以制定个性化的治疗策略,提高预测和预后能力。成像和基因组技术的进步为加强放射基因组学研究提供了有前景的途径。深入了解耐药机制对于制定有效的治疗策略至关重要,这使得放射基因组学成为个性化医疗中一种有价值的综合方法,旨在改善转移性内分泌阳性乳腺癌患者的临床治疗效果。