The prognostic value of PI3K mutational status in breast cancer: A meta‐analysis

乳腺癌 荟萃分析 肿瘤科 内科学 价值(数学) 医学 生物 癌症 统计 数学
作者
Navid Sobhani,Giandomenico Roviello,Silvia Paola Corona,Maurizio Scaltriti,Anna Ianza,Marina Bortul,Fabrizio Zanconati,Daniele Generali
出处
期刊:Journal of Cellular Biochemistry [Wiley]
卷期号:119 (6): 4287-4292 被引量:92
标识
DOI:10.1002/jcb.26687
摘要

Breast cancer (BC) is the second most common cause of cancer-related deaths in women worldwide. The availability of reliable biomarkers of response/resistance to cancer treatments would benefit patients and clinicians allowing for a better selection of BC patients most likely to respond to a specific treatment. Phosphatidylinositol 3-kinase (PI3K) enzymes are involved in numerous cellular- functions and processes. The gene encoding for PI3K catalytic subunit p110α is mutated in 20-40% of BC. We performed a meta-analysis of the current literature on randomized clinical trials, investigating the role of PIK3CA mutational status as prognostic factor, and predictor of response to anti-cancer treatments. Overall 1929 cases were included. The pooled analysis confirmed that the presence of a PIK3CA mutation represents an independent negative prognostic factor (HR = 1.67, 95%CI: 1.15-2.43; P = 0.007) in BC, as previously reported. As PI3K signaling is also a result of other pathways' hyperactivation, further investigation of potential biomarkers able to predict likelihood of response to anti-PI3K/mTOR, anti-HER2, and other TKRs is warranted in future randomized clinical trials.
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