Center for High Altitude Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
West China Tianfu Hospital, Sichuan University, Chengdu, Sichuan, 610218, China.
J Cancer Res Clin Oncol. 2024 Aug 6;150(8):383. doi: 10.1007/s00432-024-05903-2.
Triple negative breast cancer (TNBC) is most aggressive type of breast cancer with multiple invasive sub-types and leading cause of women's death worldwide. Lack of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER-2) causes it to spread rapidly making its treatment challenging due to unresponsiveness towards anti-HER and endocrine therapy. Hence, needing advanced therapeutic treatments and strategies in order to get better recovery from TNBC. Artificial intelligence (AI) has been emerged by giving its high inputs in the automated diagnosis as well as treatment of several diseases, particularly TNBC. AI based TNBC molecular sub-typing, diagnosis as well as therapeutic treatment has become successful now days. Therefore, present review has reviewed recent advancements in the role and assistance of AI particularly focusing on molecular sub-typing, diagnosis as well as treatment of TNBC. Meanwhile, advantages, certain limitations and future implications of AI assistance in the TNBC diagnosis and treatment are also discussed in order to fully understand readers regarding this issue.
三阴性乳腺癌（TNBC）是最具侵袭性的乳腺癌类型，具有多种侵袭性亚型，是全球女性死亡的主要原因。由于缺乏雌激素受体（ER）、孕激素受体（PR）和人表皮生长因子受体 2（HER-2），它会迅速扩散，导致对 HER-2 靶向治疗和内分泌治疗的反应不佳。因此，需要先进的治疗方法和策略，以从 TNBC 中获得更好的康复。人工智能（AI）通过在多种疾病的自动诊断和治疗中提供大量投入而出现，特别是 TNBC。基于 AI 的 TNBC 分子亚型、诊断和治疗现在已经取得了成功。因此，本综述回顾了 AI 在 TNBC 中的作用和辅助作用的最新进展，特别是侧重于 TNBC 的分子亚型、诊断和治疗。同时，还讨论了 AI 在 TNBC 诊断和治疗中的优势、某些局限性和未来影响，以便读者充分了解这一问题。
