Advances in predicting breast cancer driver mutations: Tools for precision oncology (Review).

IF 5.7 3区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL International journal of molecular medicine Pub Date : 2025-01-01 Epub Date: 2024-10-25 DOI:10.3892/ijmm.2024.5447
Wenhui Hao, Barani Kumar Rajendran, Tingting Cui, Jiayi Sun, Yingchun Zhao, Thirunavukkarasu Palaniyandi, Masilamani Selvam
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Abstract

In the modern era of medicine, prognosis and treatment, options for a number of cancer types including breast cancer have been improved by the identification of cancer‑specific biomarkers. The availability of high‑throughput sequencing and analysis platforms, the growth of publicly available cancer databases and molecular and histological profiling facilitate the development of new drugs through a precision medicine approach. However, only a fraction of patients with breast cancer with few actionable mutations typically benefit from the precision medicine approach. In the present review, the current development in breast cancer driver gene identification, actionable breast cancer mutations, as well as the available therapeutic options, challenges and applications of breast precision oncology are systematically described. Breast cancer driver mutation‑based precision oncology helps to screen key drivers involved in disease development and progression, drug sensitivity and the genes responsible for drug resistance. Advances in precision oncology will provide more targeted therapeutic options for patients with breast cancer, improving disease‑free survival and potentially leading to significant successes in breast cancer treatment in the near future. Identification of driver mutations has allowed new targeted therapeutic approaches in combination with standard chemo‑ and immunotherapies in breast cancer. Developing new driver mutation identification strategies will help to define new therapeutic targets and improve the overall and disease‑free survival of patients with breast cancer through efficient medicine.

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预测乳腺癌驱动基因突变的进展:精准肿瘤学的工具(综述)。
在现代医学、预后和治疗领域,包括乳腺癌在内的许多癌症类型的治疗方案都因癌症特异性生物标志物的确定而得到改善。高通量测序和分析平台的可用性、可公开获取的癌症数据库的增长以及分子和组织学特征描述促进了通过精准医疗方法开发新药。然而,通常只有一小部分乳腺癌患者能从精准医疗方法中获益,这些患者的可操作突变很少。本综述系统阐述了乳腺癌驱动基因鉴定、可操作的乳腺癌突变以及乳腺癌精准肿瘤学的现有治疗方案、挑战和应用等方面的最新进展。基于乳腺癌驱动基因突变的精准肿瘤学有助于筛选涉及疾病发展和进展、药物敏感性和耐药基因的关键驱动基因。精准肿瘤学的进展将为乳腺癌患者提供更多的靶向治疗选择,提高无病生存率,并有可能在不久的将来在乳腺癌治疗方面取得重大成就。驱动基因突变的鉴定使得新的靶向治疗方法能够与乳腺癌的标准化疗和免疫疗法相结合。开发新的驱动基因突变识别策略将有助于确定新的治疗靶点,并通过高效药物改善乳腺癌患者的总生存期和无病生存期。
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
International journal of molecular medicine
International journal of molecular medicine 医学-医学:研究与实验
CiteScore
12.30
自引率
0.00%
发文量
124
审稿时长
3 months
期刊介绍: The main aim of Spandidos Publications is to facilitate scientific communication in a clear, concise and objective manner, while striving to provide prompt publication of original works of high quality. The journals largely concentrate on molecular and experimental medicine, oncology, clinical and experimental cancer treatment and biomedical research. All journals published by Spandidos Publications Ltd. maintain the highest standards of quality, and the members of their Editorial Boards are world-renowned scientists.
期刊最新文献
[Corrigendum] A regulation loop between Nrf1α and MRTF‑A controls migration and invasion in MDA‑MB‑231 breast cancer cells. Advances in predicting breast cancer driver mutations: Tools for precision oncology (Review). Binding of zebrafish lipovitellin and L1‑ORF2 increases the accessibility of L1‑ORF2 via interference with histone wrapping. Quercetin ameliorates senescence and promotes osteogenesis of BMSCs by suppressing the repetitive element‑triggered RNA sensing pathway. Role of NEL‑like molecule‑1 in osteogenesis/chondrogenesis (Review).
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