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Analysis of circulating DNA and protein biomarkers to predict the clinical activity of regorafenib and assess prognosis in patients with metastatic colorectal cancer: a retrospective, exploratory analysis of the CORRECT trial

机译:循环DNA和蛋白质生物标志物预测雄育腺癌临床活性,评估转移结直肠癌患者的预后:回顾性,探索性分析正确的试验

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摘要

Background: Tumour mutational status is an important determinant of the response of metastatic colorectal cancer to targeted treatments. However, the genotype of the tissue obtained at the time of diagnosis might not accurately represent tumour genotype after multiple lines of treatment. This retrospective exploratory analysis investigated the clinical activity of regorafenib in biomarker subgroups of the CORRECT study population defined by tumour mutational status or plasma protein levels. Methods: We used BEAMing technology to identify KRAS, PIK3CA, and BRAF mutations in DNA obtained from the plasma of 503 patients with metastatic colorectal cancer who enrolled in the CORRECT trial. We quantified total human genomic DNA isolated from plasma samples for 503 patients using a modified version of human long interspersed nuclear element-1 (LINE-1) quantitive real-time PCR. We also measured the concentration of 15 proteins of interest-angiopoietin 2, interleukin 6, interleukin 8, placental growth factor, soluble TIE-1, soluble VEGFR1, VEGF-A, VEGF-C, VEGF-D, VEGF-A isoform 121, bone morphogenetic protein 7, macrophage colony-stimulating factor, stromal cell-derived factor-1, tissue inhibitor of metalloproteinase 2, and von Willebrand factor-in plasma samples from 611 patients. We did correlative analyses of overall survival and progression-free survival in patient subgroups based on mutational status, circulating DNA concentration, and protein concentrations. The CORRECT trial was registered with ClinicalTrials.gov, number NCT01103323. Findings: Tumour-associated mutations were readily detected with BEAMing of plasma DNA, with KRAS mutations identified in 349 (69%) of 503 patients, PIK3CA mutations in 84 (17%) of 503 patients, and BRAF mutations in 17 (3%) of 502 patients. We did not do correlative analysis based on BRAF genotype because of the low mutational frequency detected for this gene. Some of the most prevalent individual hot-spot mutations we identified included: KRAS (KRAS G12D, 116 [28%] of 413 mutations; G12V, 72 [17%]; and G13D, 67 [16%]) and PIK3CA (PIK3CA E542K, 27 [30%] of 89 mutations; E545K, 37 [42%]; and H1047R, 12 [14%]). 41 (48%) of 86 patients who had received anti-EGFR therapy and whose archival tumour tissue DNA was KRAS wild-type in BEAMing analysis were identified as having KRAS mutations in BEAMing analysis of fresh plasma DNA. Correlative analyses suggest a clinical benefit favouring regorafenib across patient subgroups defined by KRAS and PIK3CA mutational status (progression-free survival with regorafenib vs placebo: hazard ratio [HR] 0·52, 95% CI 0·35-0·76 for KRAS wild-type; HR 0·51, 95% CI 0·40-0·65 for KRAS mutant [KRAS wild type vs mutant, pinf>interaction/inf>=0·74]; HR 0·50, 95% CI 0·40-0·63 for PIK3CA wild-type; HR 0·54, 95% CI 0·32-0·89 for PIK3CA mutant [PIK3CA wild-type vs mutant, pinf>interaction/inf>=0·85]) or circulating DNA concentration (progression-free survival with regorafenib vs placebo: HR 0·53, 95% CI 0·40-0·71, for low circulating DNA concentrations; HR 0·52, 95% CI 0·40-0·70, for high circulating DNA concentrations; low vs high circulating DNA, pinf>interaction/inf>=0·601). With the exception of von Willebrand factor, assessed with the median cutoff method, plasma protein concentrations were also not associated with regorafenib activity in terms of progression-free survival. In univariable analyses, the only plasma protein that was associated with overall survival was TIE-1, high concentrations of which were associated with longer overall survival compared with low TIE-1 concentrations. This association was not significant in multivariable analyses. Interpretation: BEAMing of circulating DNA could be a viable approach for non-invasive analysis of tumour genotype in real time and for the identification of potentially clinically relevant mutations that are not detected in archival tissue. Additionally, the results show that regorafenib seems to be consistently associated with a clinical benefit in a range of patient subgroups based on mutational status and protein biomarker concentrations. Funding: Bayer HealthCare Pharmaceuticals.
机译:背景:肿瘤基因突变状态是转移性结直肠癌的有针对性的治疗的反应的重要决定因素。然而,在诊断时获得的组织的基因型可能不能准确地治疗后的多条线代表肿瘤基因型。这一回顾性探索性分析研究了由肿瘤突变状态或血浆蛋白水平定义的正确研究群体的生物标记物亚组regorafenib的临床活性。方法:我们用波束技术来识别KRAS,PIK3CA,并在DNA BRAF突变从503名患者血浆转移性结直肠癌谁在正确的试验招募获得。我们量化从血浆样品中分离得到503名患者总人基因组DNA使用人的修改版本长散布核元件-1(LINE-1)定量实时PCR。我们还测量的用户兴趣的血管生成素2 15种蛋白的浓度,白介素6,白介素8,胎盘生长因子,可溶性TIE-1,可溶性VEGFR1,VEGF-A,VEGF-C,VEGF-d,VEGF-A同种型121,骨形态发生蛋白7,巨噬细胞集落刺激因子,金属蛋白酶-2的基质细胞衍生因子-1,组织抑制剂,以及从611例患者的血浆样品von Willebrand因子,英寸我们做了总体生存率和基于突变状态的患者亚组无进展生存期,循环DNA浓度,蛋白浓度的相关分析。正确的试验在ClinicalTrials.gov注册,注册号NCT01103323。发现:肿瘤相关突变在17(3%)与血浆DNA的整经容易地检测,用503名患者503个例349(69%)确定KRAS突变,PIK3CA突变84(17%),和BRAF突变的502例患者。由于该基因的突变低频率的检测,我们没有做基于BRAF基因型相关性分析。一些我们确定包括在最普遍的个体热点突变:KRAS(413个突变KRAS G12D,116 [28%]; G12V,72 [17%];和G13D,67 [16%])和PIK3CA(PIK3CA E542K ,27 [30%]的89个突变; E545K,37 [42%];和H1047R,12 [14%])。的谁收到了抗EGFR治疗和其保存的肿瘤组织的DNA是KRAS野生型在整经分析被鉴定为具有在新鲜的血浆DNA的整经分析KRAS突变86例41(48%)。相关分析表明临床益处​​利于跨越由KRAS和PIK3CA突变状态(无进展生存期与regorafenib与安慰剂定义的患者亚组regorafenib:风险比(HR)0·52,95%CI 0·35-0·76 KRAS野生型; HR 0·51,95%CI 0·40-0·65 KRAS突变体KRAS野生型突变型VS,p 相互作用 = 0·74]; HR 0·50,95% CI 0·40-0·63为PIK3CA野生型; HR 0·54,95%CI 0·32-0·89为PIK3CA突变型PIK3CA野生型突变体VS,p 相互作用 = 0·85])或循环DNA浓度(无进展生存期与regorafenib对安慰剂:HR 0·53,95%CI 0·40-0·71,对于低循环DNA浓度; HR 0·52,95%CI 0 ·40-0·70,适用于高循环DNA浓度;低VS高循环DNA,p 相互作用 = 0·601)。与冯维勒布兰德因子的异常,与中位数切断方法评估,血浆蛋白浓度也不会与regorafenib活性无进展存活而言相关联。在单变量分析中,这是与总体存活相关的唯一血浆蛋白是TIE-1,高浓度其中用较长的总体存活相关低TIE-1浓度进行比较。该协会是不是在多变量分析显著。解释:循环DNA的聚束可以用于实时和用于潜在临床相关突变的鉴定未在存档组织中检测肿瘤基因型非侵入式分析一种可行的方法。此外,结果显示,regorafenib似乎与在一系列基于突变状态和蛋白质生物标志物浓度的亚组患者的临床益处一致地关联。资金来源:拜耳医药保健有限公司。

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