While RNA sequencing and multi-omic approaches have significantly advanced cancer diagnosis and treatment, their limitation in preserving critical spatial information has been a notable drawback. This spatial context is essential for understanding cellular interactions and tissue dynamics. Multiplex digital spatial profiling (MDSP) technologies overcome this limitation by enabling the simultaneous analysis of transcriptome and proteome data within the intact spatial architecture of tissues. In breast cancer research, MDSP has emerged as a promising tool, revealing complex biological questions related to disease evolution, identifying biomarkers, and discovering drug targets. This review highlights the potential of MDSP to revolutionize clinical applications, ranging from risk assessment and diagnostics to prognostics, patient monitoring, and the customization of treatment strategies, including clinical trial guidance. We discuss the major MDSP techniques, their applications in breast cancer research, and their integration in clinical practice, addressing both their potential and current limitations. Emphasizing the strategic use of MDSP in risk stratification for women with benign breast disease, we also highlight its transformative potential in reshaping the landscape of breast cancer research and treatment.
尽管RNA测序与多组学方法在癌症诊断与治疗领域取得了显著进展，但其无法保留关键空间信息的局限性始终存在。这种空间背景对于理解细胞间相互作用及组织动态至关重要。多重数字空间分析技术通过实现对完整组织空间结构内转录组与蛋白质组数据的同步分析，成功突破了这一限制。在乳腺癌研究中，该技术已成为揭示疾病演化相关复杂生物学问题、识别生物标志物及发现药物靶点的有力工具。本文综述了多重数字空间分析技术在临床应用中的变革潜力，涵盖从风险评估、诊断、预后判断、患者监测到治疗策略个性化定制（包括临床试验指导）的全流程。我们系统探讨了主流多重数字空间分析技术、其在乳腺癌研究中的具体应用及临床整合现状，同时客观评估了该技术当前的发展潜力与现存局限。通过重点阐述该技术在良性乳腺疾病女性风险分层中的战略价值，我们进一步揭示了其重塑乳腺癌研究与治疗格局的变革性潜力。
肿瘤(癌症)患者之家