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Predictive, preventive, and personalized medicine in breast cancer: targeting the PI3K pathway

Muhammad Tufail, Jia-Ju Hu, Jie Liang, Caiyun He, Wendong Wan, Yuqi Huang, Canhua Jiang, Hong Wu, Ning Li

2024Journal of Translational Medicine53 citationsDOIOpen Access PDF

Abstract

Breast cancer (BC) is a multifaceted disease characterized by distinct molecular subtypes and varying responses to treatment. In BC, the phosphatidylinositol 3-kinase (PI3K) pathway has emerged as a crucial contributor to the development, advancement, and resistance to treatment. This review article explores the implications of the PI3K pathway in predictive, preventive, and personalized medicine for BC. It emphasizes the identification of predictive biomarkers, such as PIK3CA mutations, and the utility of molecular profiling in guiding treatment decisions. The review also discusses the potential of targeting the PI3K pathway for preventive strategies and the customization of therapy based on tumor stage, molecular subtypes, and genetic alterations. Overcoming resistance to PI3K inhibitors and exploring combination therapies are addressed as important considerations. While this field holds promise in improving patient outcomes, further research and clinical trials are needed to validate these approaches and translate them into clinical practice.

Topics & Concepts

MedicinePersonalized medicineBreast cancerPI3K/AKT/mTOR pathwayPrecision medicineBioinformaticsClinical trialPersonalizationDiseaseClinical PracticeCancerComputational biologyInternal medicineBiologyComputer sciencePathologySignal transductionFamily medicineGeneticsWorld Wide WebPI3K/AKT/mTOR signaling in cancerAdvanced Breast Cancer TherapiesChronic Lymphocytic Leukemia Research
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