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      Clonal MET Amplification as a Determinant of Tyrosine Kinase Inhibitor Resistance in Epidermal Growth Factor Receptor–Mutant Non–Small-Cell Lung Cancer

      1 , 2 , 1 , 2 , 1 , 3 , 1 , 2 , 3 , 1 , 2 , 1 , 1 , 1 , 1 , 2 , 2 , 2 , 2 , 4 , 1 , 1 , 1 , 1 , 1 , 3 , 2 , 2 , 3 , 1 , 1 , 3 , 3 , 1 , 1 , 3
      Journal of Clinical Oncology
      American Society of Clinical Oncology (ASCO)

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          Rebiopsy of lung cancer patients with acquired resistance to EGFR inhibitors and enhanced detection of the T790M mutation using a locked nucleic acid-based assay.

          The epidermal growth factor receptor (EGFR) mutation T790M is reported in approximately 50% of lung cancers with acquired resistance to EGFR inhibitors and is a potential prognostic and predictive biomarker. Its assessment can be challenging due to limited tissue availability and underdetection at low mutant allele levels. Here, we sought to determine the feasibility of tumor rebiopsy and to more accurately assess the prevalence of the T790M using a highly sensitive locked nucleic acid (LNA) PCR/sequencing assay. MET amplification was also analyzed. Patients with acquired resistance were rebiopsied and samples were studied for sensitizing EGFR mutations. Positive cases were evaluated for T790M using standard PCR-based methods and a subset were re-evaluated with an LNA-PCR/sequencing method with an analytical sensitivity of approximately 0.1%. MET amplification was assessed by FISH. Of 121 patients undergoing tissue sampling, 104 (86%) were successfully analyzed for sensitizing EGFR mutations. Most failures were related to low tumor content. All patients (61/61) with matched pretreatment and resistance specimens showed concordance for the original sensitizing EGFR mutation. Standard T790M mutation analysis on 99 patients detected 51(51%) mutants. Retesting of 30 negative patients by the LNA-based method detected 11 additional mutants for an estimated prevalence of 68%. MET was amplified in 11% of cases (4/37). The re-biopsy of lung cancer patients with acquired resistance is feasible and provides sufficient material for mutation analysis in most patients. Using high sensitivity methods, the T790M is detected in up to 68% of these patients. ©2011 AACR.
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            Activation of MET by gene amplification or by splice mutations deleting the juxtamembrane domain in primary resected lung cancers.

            MET (Met proto-oncogene) activation either by gene amplification or mutation is implicated in various types of human cancers. For lung cancer, MET gene amplification is reported to occur in a subset of adenocarcinomas. Although somatic mutations of MET in lung adenocarcinomas are rare, all but one of those reported so far entail a splice mutation deleting the juxtamembrane domain for binding the c-Cbl E3-ligase; normally such binding leads to ubiquitination and receptor degradation, and loss of this domain leads to MET activation. The purpose of this study was to clarify in the role of MET activation in lung carcinogenesis. MET gene copy number was determined by real-time quantitative polymerase chain reaction in 187 of the patients with lung cancer and the MET gene splice mutation deleting the juxtamembrane domain was examined by direct sequencing in 262. The results were correlated with various clinical and pathologic features including mutations of the epidermal growth factor receptor, KRAS, and HER2 genes. All the instances of MET activation occurred in patients with adenocarcinomas. The prevalences of MET gene amplification and splice mutations were 1.4% (2 of 148) and 3.3% (7 of 211), respectively. We identified four different intronic mutations that disrupted a splice consensus sequence in genomic DNA. Activation of MET and mutations of the epidermal growth factor receptor, KRAS, and HER2 genes had strict mutual exclusionary relationships. About 5% of pulmonary adenocarcinomas in this cohort of Japanese patients were driven by activated MET by gene amplification or splice mutations. Such patients would be candidates for targeted therapy against MET.
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              Elucidating the genomic architecture of Asian EGFR -mutant lung adenocarcinoma through multi-region exome sequencing

              EGFR-mutant lung adenocarcinomas (LUAD) display diverse clinical trajectories and are characterized by rapid but short-lived responses to EGFR tyrosine kinase inhibitors (TKIs). Through sequencing of 79 spatially distinct regions from 16 early stage tumors, we show that despite low mutation burdens, EGFR-mutant Asian LUADs unexpectedly exhibit a complex genomic landscape with frequent and early whole-genome doubling, aneuploidy, and high clonal diversity. Multiple truncal alterations, including TP53 mutations and loss of CDKN2A and RB1, converge on cell cycle dysregulation, with late sector-specific high-amplitude amplifications and deletions that potentially beget drug resistant clones. We highlight the association between genomic architecture and clinical phenotypes, such as co-occurring truncal drivers and primary TKI resistance. Through comparative analysis with published smoking-related LUAD, we postulate that the high intra-tumor heterogeneity observed in Asian EGFR-mutant LUAD may be contributed by an early dominant driver, genomic instability, and low background mutation rates.
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                Author and article information

                Journal
                Journal of Clinical Oncology
                JCO
                American Society of Clinical Oncology (ASCO)
                0732-183X
                1527-7755
                April 10 2019
                April 10 2019
                : 37
                : 11
                : 876-884
                Affiliations
                [1 ]National Cancer Centre Singapore, Singapore
                [2 ]Singapore General Hospital, Singapore
                [3 ]Genome Institute of Singapore, Singapore
                [4 ]National Heart Centre Singapore, Singapore
                Article
                10.1200/JCO.18.00177
                30676858
                70bb642e-8eec-4fc2-96ae-7389350daffb
                © 2019
                History

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