4.7 Article

A Blood-based Assay for Assessment of Tumor Mutational Burden in First-line Metastatic NSCLC Treatment: Results from the MYSTIC Study

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CLINICAL CANCER RESEARCH
卷 27, 期 6, 页码 1631-1640

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AMER ASSOC CANCER RESEARCH
DOI: 10.1158/1078-0432.CCR-20-3771

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  1. AstraZeneca

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This study validated a new algorithm for measuring tumor mutational burden (bTMB) from blood and demonstrated its clinical utility in the MYSTIC trial. High bTMB, determined using the algorithm with a cutoff of >= 20 mut/Mb, was predictive of clinical benefit with durvalumab+tremelimumab versus chemotherapy.
Purpose: Tumor mutational burden (TMB) has been shown to be predictive of survival benefit in patients with non-small cell lung cancer (NSCLC) treated with immune checkpoint inhibitors. Measuring TMB in the blood (bTMB) using circulating cell-free tumor DNA (ctDNA) offers practical advantages compared with TMB measurement in tissue (tTMB); however, there is a need for validated assays and identification of optimal cutoffs. We describe the analytic validation of a new bTMB algorithm and its clinical utility using data from the phase III MYSTIC trial. Patients and Methods: The dataset used for the clinical validation was from MYSTIC, which evaluated first-line durvalumab (anti-PD-L1 antibody) +/- tremelimumab (anticytotoxic T-lymphocyte-associated antigen-4 antibody) or chemotherapy for metastatic NSCLC. bTMB and tTMB were evaluated using the GuardantOMNI and FoundationOne CDx assays, respectively. A Cox proportional hazards model and minimal P value cross-validation approach were used to identify the optimal bTMB cutoff. Results: In MYSTIC, somatic mutations could be detected in ctDNA extracted from plasma samples in a majority of patients, allowing subsequent calculation of bTMB. The success rate for obtaining valid TMB scores was higher for bTMB (809/1,001; 81%) than for tTMB (460/735; 63%). Minimal P value cross-validation analysis confirmed the selection of bTMB >= 20 mutations per megabase (mut/Mb) as the optimal cutoff for clinical benefit with durvalumab thorn tremelimumab. Conclusions: Our study demonstrates the feasibility, accuracy, and reproducibility of the GuardantOMNI ctDNA platform for quantifying bTMB from plasma samples. Using the new bTMB algorithm and an optimal bTMB cutoff of >= 20 mut/Mb, high bTMB was predictive of clinical benefit with durvalumab+tremelimumab versus chemotherapy.

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