Lee Yeon-Su, Kim Bo Hyun, Kim Byung Chul, Shin Aesun, Kim Jin Sook, Hong Seung-Hyun, Hwang Jung-Ah, Lee Jung Ahn, Nam Seungyoon, Lee Sung Hoon, Bhak Jong, Park Joong-Won
Cancer Genomics Branch, National Cancer Center, Goyang, Republic of Korea.
Center for Liver Cancer, National Cancer Center, Goyang, Republic of Korea.
Oncotarget. 2015 Jun 30;6(18):16449-60. doi: 10.18632/oncotarget.3758.
Reliable biomarkers are required to predict the response to sorafenib. We investigated genomic variations associated with responsiveness to sorafenib for patients with unresectable hepatocellular carcinoma (HCC). Blood samples from 2 extreme, 2 strong and 3 poor responders to sorafenib were subjected to whole-genome analysis. Then, we validated candidate genomic variations with another 174 HCC patients, and performed in vitro functional analysis and in silico analyses. Genomic data of >96 gigabases/sample was generated at average of ~34X sequencing depth. In total, 1813 genomic variations were matched to sorafenib responses in clinical data; 708 were located within regions for sorafenib-target genes or drug absorption, distribution, metabolism, and excretion (ADME)-related genes. From them, 36 variants were within the coding regions and 6 identified as non-synonymous single-nucleotide variants from 4 ADME-related genes (ABCB1, FMO3, MUSK, and SLC15A2). Validation genotyping confirmed sequencing results and revealed patients genotype for rs2257212 in SLC15A2 showed longer progression-free survival (HR = 2.18). In vitro study displayed different response to sorafenib depending on the genotype of SLC15A2. Structural prediction analysis revealed changes of the phosphorylation levels in protein, potentially affecting sorafenib-associated enzymatic activity. Our finding using extreme responder seems to generate robust biomarker to predict the response of sorafenib treatment for HCC.
需要可靠的生物标志物来预测对索拉非尼的反应。我们研究了不可切除肝细胞癌(HCC)患者中与索拉非尼反应相关的基因组变异。对2例索拉非尼极端反应者、2例强反应者和3例弱反应者的血样进行全基因组分析。然后,我们用另外174例HCC患者验证了候选基因组变异,并进行了体外功能分析和计算机分析。平均测序深度约为34X时,每个样本产生了>96千兆碱基的基因组数据。总共1813个基因组变异与临床数据中的索拉非尼反应相匹配;708个位于索拉非尼靶基因或药物吸收、分布、代谢和排泄(ADME)相关基因的区域内。其中,36个变异位于编码区域,6个被鉴定为来自4个ADME相关基因(ABCB1、FMO3、MUSK和SLC15A2)的非同义单核苷酸变异。验证基因分型证实了测序结果,并显示SLC15A2中rs2257212的患者基因型具有更长的无进展生存期(HR = 2.18)。体外研究显示,根据SLC15A2的基因型,对索拉非尼有不同反应。结构预测分析揭示了蛋白质磷酸化水平的变化,可能影响与索拉非尼相关的酶活性。我们使用极端反应者的发现似乎产生了强大的生物标志物,以预测索拉非尼治疗HCC的反应。