Pareja Fresia, Bhargava Rohit, Borges Virginia F, Brogi Edi, Canas Marques Rita, Cardoso Fatima, Desmedt Christine, Harigopal Malini, Lakhani Sunil R, Lee Adrian, Leone Jose Pablo, Linden Hannah, Lord Christopher J, Marchio Caterina, Merajver Sofia D, Rakha Emad, Reis-Filho Jorge S, Richardson Andrea, Sawyer Elinor, Schedin Pepper, Schwartz Christopher J, Tutt Andrew, Ueno Naoto T, Vincent-Salomon Anne, Weigelt Britta, Wen Y Hannah, Schnitt Stuart J, Oesterreich Steffi
Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Department of Pathology, University of Pittsburgh School of Medicine, UPMC Magee-Womens Hospital, Pittsburgh, PA, USA.
NPJ Breast Cancer. 2025 Jan 24;11(1):6. doi: 10.1038/s41523-025-00719-w.
Special histologic subtypes of breast cancer (BC) exhibit unique phenotypes and molecular profiles with diagnostic and therapeutic implications, often differing in behavior and clinical trajectory from common BC forms. Novel methodologies, such as artificial intelligence may improve classification. Genetic predisposition plays roles in a subset of cases. Uncommon BC presentations like male, inflammatory and pregnancy-related BC pose challenges. Emerging therapeutic strategies targeting genetic alterations or immune microenvironment are being explored.
乳腺癌(BC)的特殊组织学亚型表现出独特的表型和分子特征,具有诊断和治疗意义,其行为和临床病程通常与常见的BC形式不同。人工智能等新方法可能会改善分类。遗传易感性在一部分病例中起作用。男性、炎性和妊娠相关BC等不常见的BC表现带来了挑战。针对基因改变或免疫微环境的新兴治疗策略正在探索中。