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Mutations in circulating tumor DNA predict primary resistance to systemic therapies in advanced hepatocellular carcinoma

PTEN公司 肝细胞癌 生物 癌症研究 无进展生存期 突变 内科学 肿瘤科 PI3K/AKT/mTOR通路 基因 医学 总体生存率 遗传学 信号转导
作者
Johann von Felden,Amanda J. Craig,Teresa García‐Lezana,Ismaïl Labgaa,Philipp K. Haber,Delia D’Avola,Amon Asgharpour,Douglas T. Dieterich,Antoinette Bonaccorso,Miguel Torres‐Martín,Daniela Sia,Max W. Sung,Parissa Tabrizian,Myron Schwartz,Josep M. Llovet,Augusto Villanueva
出处
期刊:Oncogene [Springer Nature]
卷期号:40 (1): 140-151 被引量:114
标识
DOI:10.1038/s41388-020-01519-1
摘要

Little is known about the mutational landscape of advanced hepatocellular carcinoma (HCC), and predictive biomarkers of response to systemic therapies are lacking. We aimed to describe the mutational landscape of advanced HCC and to identify predictors of primary resistance to systemic therapies using circulating tumor DNA (ctDNA). We prospectively enrolled 121 patients between October 2015 and January 2019. We performed targeted ultra-deep sequencing of 25 genes and Digital Droplet PCR of TERT promoter, including sequential samples throughout treatment. Primary endpoint was progression-free survival (PFS) stratified by mutation profiles in ctDNA. Secondary endpoints were overall survival and objective response rate. The most frequent mutations in ctDNA of advanced HCC were TERT promoter (51%), TP53 (32%), CTNNB1 (17%), PTEN (8%), AXIN1, ARID2, KMT2D, and TSC2 (each 6%). TP53 and CTNNB1 mutations were mutually exclusive. Patients with mutations in the PI3K/MTOR pathway had significantly shorter PFS than those without these mutations after tyrosine kinase inhibitors (2.1 vs 3.7 months, p < 0.001), but not after immune checkpoint inhibition (CPI). WNT pathway mutations were not associated with PFS, overall survival, or objective response after CPI. Serial profiling of ctDNA in a subset correlated with treatment response. Mutation profiling of ctDNA in advanced HCC shows similar mutation frequencies for known HCC drivers compared to early stages and identifies predictive biomarkers of response to systemic therapies.
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