The NEXT-1 (Next generation pErsonalized tX with mulTi-omics and preclinical model) trial: prospective molecular screening trial of metastatic solid cancer patients, a feasibility analysis

NEXT-1(具有多组学和临床前模型的下一代个性化治疗)试验:转移性实体癌患者的前瞻性分子筛查试验,可行性分析

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作者:Seung Tae Kim, Jeeyun Lee, Mineui Hong, Kyunghee Park, Joon Oh Park, TaeJin Ahn, Se Hoon Park, Young Suk Park, Ho Yeong Lim, Jong-Mu Sun, Jin Seok Ahn, Myung-Ju Ahn, Hee Cheol Kim, Tae Sung Sohn, Dong Il Choi, Jong Ho Cho, Jin Seok Heo, Wooil Kwon, Sang Won Uhm, Hyuk Lee, Byung-Hoon Min, Sung No Hon

Abstract

We conducted a prospective genomic screening trial with high throughput sequencing and copy number variation (CNV) assay, and immunohistochemistry array in metastatic solid cancer patients. We used Ion AmpliSeq Cancer Hotspot Panel v2 and nCounter Copy Number Variation Assay (21 genes) to identify molecular targets for potential matched therapy. Metastatic solid tumor patients were prospectively consented for molecular profiling tests. The primary outcome for this trial was the feasibility of molecular tests and response rate (matched vs non-matched treatment). Between November 2013 and August 2014, a total of 428 metastatic solid tumor patients were enrolled on to this study. The mutational profiles were obtained for 407 (95.1%) patients. CNV 21-gene assays were successfully performed in 281 (65.7%) of 428 patients. Of the 407 patients with molecular profiling results, 342 (84.0%) patients had one or more aberrations detected. Of the 342 patients, 103 patients were matched to molecularly targeted agents in the context of clinical trials or clinical practice. The response rate was significantly higher in the genome-matched treated group for gastrointestinal/hepatobiliary/rare tumors (matched vs non-matched treatment, 42.6% vs 24.3%, P = .009) and lung cancer cohort (matched vs non-matched treatment, 61.2% vs 28.6% < P = .001) when compared with the non-matched group. In this trial, we demonstrate that genome-matched treatment based on molecular profiling result in better treatment outcome in terms of response rate.

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