Genomic, Transcriptomic, and Proteomic Profiling of Metastatic Breast Cancer

PTEN公司 外显子组测序 转移性乳腺癌 富维斯特朗 外显子组 生物 乳腺癌 转录组 癌症研究 基因表达谱 蛋白质组学 癌症 拷贝数变化 蛋白质组 转移 蛋白质基因组学 计算生物学 小桶 基因 肿瘤科 生物信息学 遗传学 突变 雌激素受体 基因组 基因表达 PI3K/AKT/mTOR通路 细胞凋亡
作者
Argun Akcakanat,Xiaofeng Zheng,Christian X. Cruz Pico,Tae-Beom Kim,Ken Chen,Anil Korkut,Aysegul A. Sahin,Vijaykumar Holla,Emily Tarco,Gopal Singh,Senthilkumar Damodaran,Gordon B. Mills,Ana M. Gonzalez-Angulo,Funda Meric-Bernstam
出处
期刊:Clinical Cancer Research [American Association for Cancer Research]
卷期号:27 (11): 3243-3252 被引量:4
标识
DOI:10.1158/1078-0432.ccr-20-4048
摘要

Metastatic breast cancer (MBC) is not curable and there is a growing interest in personalized therapy options. Here we report molecular profiling of MBC focusing on molecular evolution in actionable alterations.Sixty-two patients with MBC were included. An analysis of DNA, RNA, and functional proteomics was done, and matched primary and metastatic tumors were compared when feasible.Targeted exome sequencing of 41 tumors identified common alterations in TP53 (21; 51%) and PIK3CA (20; 49%), as well as alterations in several emerging biomarkers such as NF1 mutations/deletions (6; 15%), PTEN mutations (4; 10%), and ARID1A mutations/deletions (6; 15%). Among 27 hormone receptor-positive patients, we identified MDM2 amplifications (3; 11%), FGFR1 amplifications (5; 19%), ATM mutations (2; 7%), and ESR1 mutations (4; 15%). In 10 patients with matched primary and metastatic tumors that underwent targeted exome sequencing, discordances in actionable alterations were common, including NF1 loss in 3 patients, loss of PIK3CA mutation in 1 patient, and acquired ESR1 mutations in 3 patients. RNA sequencing in matched samples confirmed loss of NF1 expression with genomic NF1 loss. Among 33 patients with matched primary and metastatic samples that underwent RNA profiling, 14 actionable genes were differentially expressed, including antibody-drug conjugate targets LIV-1 and B7-H3.Molecular profiling in MBC reveals multiple common as well as less frequent but potentially actionable alterations. Genomic and transcriptional profiling demonstrates intertumoral heterogeneity and potential evolution of actionable targets with tumor progression. Further work is needed to optimize testing and integrated analysis for treatment selection.
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