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      Evolution and clinical impact of co-occurring genetic alterations in advanced-stage EGFR-mutant lung cancers

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          Abstract

          A widespread approach to modern cancer therapy is to identify a single oncogenic driver gene and target its mutant protein product (e.g. EGFR inhibitor treatment in EGFR-mutant lung cancers). However, genetically-driven resistance to targeted therapy limits patient survival. Through genomic analysis of 1122 EGFR-mutant lung cancer cell-free DNA samples and whole exome analysis of seven longitudinally collected tumor samples from an EGFR-mutant lung cancer patient, we identify critical co-occurring oncogenic events present in most advanced-stage EGFR-mutant lung cancers. We define new pathways limiting EGFR inhibitor response, including WNT/β-catenin and cell cycle gene (e.g. CDK4, CDK6) alterations. Tumor genomic complexity increases with EGFR inhibitor treatment and co-occurring alterations in CTNNB1, and PIK3CA exhibit non-redundant functions that cooperatively promote tumor metastasis or limit EGFR inhibitor response. This study challenges the prevailing single-gene driver oncogene view and links clinical outcomes to co-occurring genetic alterations in advanced-stage EGFR-mutant lung cancer patients.

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          Most cited references17

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          Is Open Access

          Circulating tumour DNA profiling reveals heterogeneity of EGFR inhibitor resistance mechanisms in lung cancer patients

          Circulating tumour DNA (ctDNA) analysis facilitates studies of tumour heterogeneity. Here we employ CAPP-Seq ctDNA analysis to study resistance mechanisms in 43 non-small cell lung cancer (NSCLC) patients treated with the third-generation epidermal growth factor receptor (EGFR) inhibitor rociletinib. We observe multiple resistance mechanisms in 46% of patients after treatment with first-line inhibitors, indicating frequent intra-patient heterogeneity. Rociletinib resistance recurrently involves MET, EGFR, PIK3CA, ERRB2, KRAS and RB1. We describe a novel EGFR L798I mutation and find that EGFR C797S, which arises in ∼33% of patients after osimertinib treatment, occurs in <3% after rociletinib. Increased MET copy number is the most frequent rociletinib resistance mechanism in this cohort and patients with multiple pre-existing mechanisms (T790M and MET) experience inferior responses. Similarly, rociletinib-resistant xenografts develop MET amplification that can be overcome with the MET inhibitor crizotinib. These results underscore the importance of tumour heterogeneity in NSCLC and the utility of ctDNA-based resistance mechanism assessment.
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            Rociletinib in EGFR-mutated non-small-cell lung cancer.

            Non-small-cell lung cancer (NSCLC) with a mutation in the gene encoding epidermal growth factor receptor (EGFR) is sensitive to approved EGFR inhibitors, but resistance develops, mediated by the T790M EGFR mutation in most cases. Rociletinib (CO-1686) is an EGFR inhibitor active in preclinical models of EGFR-mutated NSCLC with or without T790M. In this phase 1-2 study, we administered rociletinib to patients with EGFR-mutated NSCLC who had disease progression during previous treatment with an existing EGFR inhibitor. In the expansion (phase 2) part of the study, patients with T790M-positive disease received rociletinib at a dose of 500 mg twice daily, 625 mg twice daily, or 750 mg twice daily. Key objectives were assessment of safety, side-effect profile, pharmacokinetics, and preliminary antitumor activity of rociletinib. Tumor biopsies to identify T790M were performed during screening. Treatment was administered in continuous 21-day cycles. A total of 130 patients were enrolled. The first 57 patients to be enrolled received the free-base form of rociletinib (150 mg once daily to 900 mg twice daily). The remaining patients received the hydrogen bromide salt (HBr) form (500 mg twice daily to 1000 mg twice daily). A maximum tolerated dose (the highest dose associated with a rate of dose-limiting toxic effects of less than 33%) was not identified. The only common dose-limiting adverse event was hyperglycemia. In an efficacy analysis that included patients who received free-base rociletinib at a dose of 900 mg twice daily or the HBr form at any dose, the objective response rate among the 46 patients with T790M-positive disease who could be evaluated was 59% (95% confidence interval [CI], 45 to 73), and the rate among the 17 patients with T790M-negative disease who could be evaluated was 29% (95% CI, 8 to 51). Rociletinib was active in patients with EGFR-mutated NSCLC associated with the T790M resistance mutation. (Funded by Clovis Oncology; ClinicalTrials.gov number, NCT01526928.).
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              Detection of Therapeutically Targetable Driver and Resistance Mutations in Lung Cancer Patients by Next-Generation Sequencing of Cell-Free Circulating Tumor DNA.

              The expanding number of targeted therapeutics for non-small cell lung cancer (NSCLC) necessitates real-time tumor genotyping, yet tissue biopsies are difficult to perform serially and often yield inadequate DNA for next-generation sequencing (NGS). We evaluated the feasibility of using cell-free circulating tumor DNA (ctDNA) NGS as a complement or alternative to tissue NGS.
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                Author and article information

                Journal
                9216904
                2419
                Nat Genet
                Nat. Genet.
                Nature genetics
                1061-4036
                1546-1718
                13 October 2017
                06 November 2017
                December 2017
                06 May 2018
                : 49
                : 12
                : 1693-1704
                Affiliations
                [1 ]Department of Medicine, University of California, San Francisco, San Francisco, CA 94158, USA
                [2 ]Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94158, USA
                [3 ]The Francis Crick Institute, London WC2A 3LY, UK. Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, London WC1E 6BT, UK
                [4 ]Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA
                [5 ]Division of Medical Oncology, Department of Medicine, University of Colorado, Denver, Aurora, CO, USA
                [6 ]Guardant Health, Inc., Redwood City, CA, USA
                [7 ]Driver Inc., San Francisco, CA, USA
                [8 ]Clovis Oncology Inc., Boulder, CO, USA
                [9 ]University of California Davis Cancer Center, Sacramento, CA, USA
                [10 ]University of California San Diego, Moores Cancer Center, San Diego, CA, USA
                Author notes
                [* ]Corresponding authors: Trever G. Bivona MD PhD lead contact ( Trever.Bivona@ 123456ucsf.edu ) and Charles Swanton MD PhD ( Charles.Swanton@ 123456crick.ac.uk )
                [11]

                These authors contributed equally to this work.

                Article
                NIHMS912822
                10.1038/ng.3990
                5709185
                29106415
                a667ccc7-7b0a-49d1-97b1-9f3a11084cd8

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                Genetics
                Genetics

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