Advancements in triple-negative breast cancer sub-typing, diagnosis and treatment with assistance of artificial intelligence : a focused review.

IF 2.7 3区医学 Q3 ONCOLOGY

Journal of Cancer Research and Clinical Oncology Pub Date : 2024-08-06 DOI:10.1007/s00432-024-05903-2

Zahra Batool, Mohammad Amjad Kamal, Bairong Shen

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Abstract

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.

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人工智能辅助下的三阴性乳腺癌分型、诊断和治疗进展：重点综述。

三阴性乳腺癌（TNBC）是侵袭性最强的乳腺癌类型，具有多种侵袭性亚型，是全球妇女死亡的主要原因。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），TNBC 会迅速扩散，对抗雌激素和内分泌治疗无效，因此治疗难度很大。因此，TNBC 需要先进的治疗方法和策略才能得到更好的康复。人工智能（AI）的出现为多种疾病（尤其是 TNBC）的自动诊断和治疗提供了高投入。如今，基于人工智能的 TNBC 分子亚型分析、诊断和治疗已取得成功。因此，本综述回顾了人工智能在发挥作用和提供帮助方面的最新进展，特别是在 TNBC 分子亚型分析、诊断和治疗方面。同时，还讨论了人工智能在 TNBC 诊断和治疗中的优势、某些局限性以及未来的影响，以便读者充分了解这一问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Cancer Research and Clinical Oncology 医学-肿瘤学

CiteScore

4.00

自引率

2.80%

发文量

577

审稿时长

2 months

期刊介绍： The "Journal of Cancer Research and Clinical Oncology" publishes significant and up-to-date articles within the fields of experimental and clinical oncology. The journal, which is chiefly devoted to Original papers, also includes Reviews as well as Editorials and Guest editorials on current, controversial topics. The section Letters to the editors provides a forum for a rapid exchange of comments and information concerning previously published papers and topics of current interest. Meeting reports provide current information on the latest results presented at important congresses. The following fields are covered: carcinogenesis - etiology, mechanisms; molecular biology; recent developments in tumor therapy; general diagnosis; laboratory diagnosis; diagnostic and experimental pathology; oncologic surgery; and epidemiology.