Advances in predicting breast cancer driver mutations: Tools for precision oncology (Review)
- This article is part of the special Issue: Significance of molecular analyses in the era of personalized tumor therapy
- Authors:
- Wenhui Hao
- Barani Kumar Rajendran
- Tingting Cui
- Jiayi Sun
- Yingchun Zhao
- Thirunavukkarasu Palaniyandi
- Masilamani Selvam
-
Affiliations: Xinjiang Key Laboratory of Molecular Biology for Endemic Diseases, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang 830017, P.R. China, Department of Pathology, Yale School of Medicine, Yale University, New Haven, CT 06510, USA, Xinjiang Key Laboratory of Molecular Biology for Endemic Diseases, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang 830017, P.R. China, Department of Biotechnology, Dr. M.G.R Educational and Research Institute, Chennai 600095, India, Department of Biotechnology, Sathyabama Institute of Science and Technology, Chennai 600119, India - Published online on: October 24, 2024 https://doi.org/10.3892/ijmm.2024.5447
- Article Number: 6
-
Copyright: © Hao et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
This article is mentioned in:
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