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

被引:0
作者
Hao, Wenhui [1 ]
Rajendran, Barani Kumar [2 ]
Cui, Tingting [1 ]
Sun, Jiayi [1 ]
Zhao, Yingchun [1 ]
Palaniyandi, Thirunavukkarasu [3 ]
Selvam, Masilamani [4 ]
机构
[1] Xinjiang Med Univ, Sch Basic Med Sci, Xinjiang Key Lab Mol Biol Endem Dis, 567 Shangde North Rd, Urumqi 830017, Xinjiang, Peoples R China
[2] Yale Univ, Yale Sch Med, Dept Pathol, 310 Cedar St, New Haven, CT 06510 USA
[3] Dr MGR Educ & Res Inst, Dept Biotechnol, Chennai 600095, India
[4] Sathyabama Inst Sci & Technol, Dept Biotechnol, Chennai 600119, India
关键词
breast cancer; precision oncology; driver mutations; genomics; targeted therapy; cancer heterogeneity; onco-prediction; personalized medicine; immunotherapy; T-CELL RESPONSES; POXVIRAL-BASED VACCINE; METASTATIC BREAST; PHASE-II; YONDELIS(R) TRABECTEDIN; FUNCTIONAL IMPACT; EXPRESSION; HER2; IMMUNOTHERAPY; COMBINATION;
D O I
10.3892/ijmm.2024.5447
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
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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页数:11
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共 143 条
[1]   Topical TLR7 Agonist Imiquimod Can Induce Immune-Mediated Rejection of Skin Metastases in Patients with Breast Cancer [J].
Adams, Sylvia ;
Kozhaya, Lina ;
Martiniuk, Frank ;
Meng, Tze-Chiang ;
Chiriboga, Luis ;
Liebes, Leonard ;
Hochman, Tsivia ;
Shuman, Nicholas ;
Axelrod, Deborah ;
Speyer, James ;
Novik, Yelena ;
Tiersten, Amy ;
Goldberg, Judith D. ;
Formenti, Silvia C. ;
Bhardwaj, Nina ;
Unutmaz, Derya ;
Demaria, Sandra .
CLINICAL CANCER RESEARCH, 2012, 18 (24) :6748-6757
[2]  
Adzhubei Ivan, 2013, Curr Protoc Hum Genet, VChapter 7, DOI 10.1002/0471142905.hg0720s76
[3]   The impact of tumor microenvironment: unraveling the role of physical cues in breast cancer progression [J].
Akinpelu, Ayuba ;
Akinsipe, Tosin ;
Avila, L. Adriana ;
Arnold, Robert D. ;
Mistriotis, Panagiotis .
CANCER AND METASTASIS REVIEWS, 2024, 43 (02) :823-844
[4]   Comparative oncogenomics identifies combinations of driver genes and drug targets in BRCA1-mutated breast cancer [J].
Annunziato, Stefano ;
de Ruiter, Julian R. ;
Henneman, Linda ;
Brambillasca, Chiara S. ;
Lutz, Catrin ;
Vaillant, Francois ;
Ferrante, Federica ;
Drenth, Anne Paulien ;
van der Burg, Eline ;
Siteur, Bjorn ;
van Gerwen, Bas ;
de Bruijn, Roebi ;
van Miltenburg, Martine H. ;
Huijbers, Ivo J. ;
van de Ven, Marieke ;
Visvader, Jane E. ;
Lindeman, Geoffrey J. ;
Wessels, Lodewyk F. A. ;
Jonkers, Jos .
NATURE COMMUNICATIONS, 2019, 10 (1)
[5]   IFN-γ-related mRNA profile predicts clinical response to PD-1 blockade [J].
Ayers, Mark ;
Lunceford, Jared ;
Nebozhyn, Michael ;
Murphy, Erin ;
Loboda, Andrey ;
Kaufman, David R. ;
Albright, Andrew ;
Cheng, Jonathan D. ;
Kang, S. Peter ;
Shankaran, Veena ;
Piha-Paul, Sarina A. ;
Yearley, Jennifer ;
Seiwert, Tanguy Y. ;
Ribas, Antoni ;
McClanahan, Terrill K. .
JOURNAL OF CLINICAL INVESTIGATION, 2017, 127 (08) :2930-2940
[6]   Immunotherapy for HER2-positive breast cancer: recent advances and combination therapeutic approaches [J].
Ayoub, Nehad M. ;
Al-Shami, Kamal M. ;
Yaghan, Rami J. .
BREAST CANCER-TARGETS AND THERAPY, 2019, 11 :53-69
[7]   Combined cytotoxic chemotherapy and immunotherapy of cancer: modern times [J].
Bailly, Christian ;
Thuru, Xavier ;
Quesnel, Bruno .
NAR CANCER, 2020, 2 (01)
[8]   Quantification of regulatory T cells enables the identification of high-risk breast cancer patients and those at risk of late relapse [J].
Bates, Gaynor J. ;
Fox, Stephen B. ;
Han, Cheng ;
Leek, Russell D. ;
Garcia, Jose F. ;
Harris, Adrian L. ;
Banham, Alison H. .
JOURNAL OF CLINICAL ONCOLOGY, 2006, 24 (34) :5373-5380
[9]   Homologous recombination deficiency in triple negative breast cancer [J].
Belli, Carmen ;
Duso, Bruno Achutti ;
Ferraro, Emanuela ;
Curigliano, Giuseppe .
BREAST, 2019, 45 :15-21
[10]   HER2-Mutated Breast Cancer Responds to Treatment With Single-Agent Neratinib, a Second-Generation HER2/EGFR Tyrosine Kinase Inhibitor [J].
Ben-Baruch, Noa Efrat ;
Bose, Ron ;
Kavuri, Shyam M. ;
Ma, Cynthia X. ;
Ellis, Matthew J. .
JOURNAL OF THE NATIONAL COMPREHENSIVE CANCER NETWORK, 2015, 13 (09) :1061-1064