Comprehensive Genomic Profiling Identifies Novel Genetic Predictors Of Response To Anti-Pd-(L)1 Therapies In Nsclc.
JOURNAL OF CLINICAL ONCOLOGY(2019)
摘要
e20536 Background: Immune checkpoint inhibitors (ICIs) have revolutionized the treatment of many different cancer types, including non-small-cell lung cancer (NSCLC). However, our understandings of the molecular and immunologic determinants of response to ICIs remain incomplete. Methods: We performed whole-exon sequencing (WES) in 73 patients with advanced NSCLC who underwent anti-PD-(L)1 therapies to further explore predictive biomarkers for treatment efficacy. Novel somatic mutations and copy number alterations were identified to be predictive of response or resistance to anti-PD-(L)1 therapies. Results: We confirmed that high tumor mutation burden (TMB) was associated with improved clinical outcomes. Quantification of TMB by targeted next-generation sequencing using a customized panel including 422 cancer-relevant genes (Geneseeq) was strongly correlated with WES results (Spearman's Rho = 0.81, p < 0.001). Patients whose tumour harbored FAT1 mutant had higher durable clinical response (DCB) and objective response rate (ORR) compared with wild-type (62.5% vs 20%, p = 0.02, and 50% vs 12.3%, p = 0.02, respectively), whereas patients with activating mutations in EGFR or ERBB2 had significantly shorter mPFS compared with other patients (51 vs 70.5 days, p = 0.0037, HR = 2.47 [95% CI, 1.33-4.62]). Furthermore, We found copy number loss in specific 3p segments (mPFS, 61.5 vs 65 days; survival rates at 6 months, 0% vs 31%, p = 0.012, HR = 2.08 [95% CI, 1.09-4.00]), which contain the tumor suppressor ITGA9 (mPFS, 36.5 vs 64 days, p < 0.0001, HR = 9.09 [95% CI, 2.91-27.78]) and several chemokine receptor pathway genes, were highly predictive of poor clinical outcome. These findings were further validated in two independently published datasets comprising multiple cancer types. Conclusions: Our findings suggest that comprehensive profiling of TMB and the aforementioned novel genetic alterations could result in greater predictive power of response in NSCLC patients treated with ICI therapies.
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