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T. Hida



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    ORAL 03 - New Kinase Targets (ID 89)

    • Event: WCLC 2015
    • Type: Oral Session
    • Track: Treatment of Advanced Diseases - NSCLC
    • Presentations: 1
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      ORAL03.03 - EGFR Exon 18 Mutations in Lung Cancer: Molecular Predictors of Sensitivity to Afatinib or Neratinib but Not to Other EGFR-TKIs (ID 1748)

      10:45 - 12:15  |  Author(s): T. Hida

      • Abstract
      • Presentation
      • Slides

      Background:
      Lung cancers harboring common EGFR mutations respond to EGFR tyrosine kinase inhibitors (TKIs),whereas exon 20 insertions (Ins20) are known to be resistant to these drugs. However, little is known about the role of mutations in exon 18. Inspired by clinical observation that a patient with adenocarcinoma harboring exon 18 deletion (Del18: delE709_T710insD) responded to afatinib, this study aimed to establish a rational therapeutic strategy for lung cancers harboring exon 18 mutations.

      Methods:
      The mutational status of lung cancers registered in Aichi Cancer Center (ACC) database between 2001 and 2015 was reviewed. Three representative mutations in exon 18, Del18, E709K, and G719A, were introduced into Ba/F3, NIH3T3, and HEK293 cells using retroviral vector. The 90% inhibitory concentrations (IC90s) of first generation (1G) (gefitinib and erlotinib), second generation (2G) (afatinib, dacomitinib, and neratinib), and third generation (3G) TKIs (AZD9291 and CO1686) in these cells were determined and compared with the corresponding IC90s in cells expressing exon 19 deletion (Del 19) and with the trough concentration (C~trough~) at the recommended doses for each drug. Clinical data on the treatment response of tumors harboring exon 18 mutations were collected from the ACC and Catalogue of Somatic Mutations in Cancer (COSMIC) databases.

      Results:
      Among the 1355 EGFR mutations registered in the ACC database, Del19, L858R, and Ins20 were detected in 40%, 47%, and 4%, respectively. Of note, exon 18 mutations including G719X, E709X, and Del18 were present in 3.2% (n=43), accounting for 38% of the remaining. According to the COSMIC database, exon 18 mutations accounted for 4.1% (654/16,138) of all EGFR mutations present from exons 18-21. Mutations at codons 709 and 719 accounted for 84% of all exon 18 mutations. Ba/F3 cells expressing Del18, E709K, or G719A grew in the absence of interleukin 3, and NIH3T3 cells transfected with these mutations formed foci with marked pile-up, indicating that these mutations act as oncogenic drivers. IC90s of 1G and 3G TKIs in cells transfected with Del18, E709K and G719A were much higher than those in cells transfected with Del19 (by >50-, >25-, and >11-fold, respectively). In contrast, IC90 of afatinib in these three mutations ranged from only 2- to 6-fold greater than that in Del19 and was <1/40 of its C~trough~. Notably, cells transfected with exon 18 mutations exhibited higher sensitivity to neratinib (by 25-fold for E709K, by 5-fold for G719A, and by a comparable extent for Del 18) than those expressing Del19. Western blot analyses showed that these differential sensitivities corresponded to different degrees of suppression of EGFR phosphorylation in HEK293 cells. Furthermore, analyses of the ACC and COSMIC databases clearly indicated that patients with lung cancers harboring G719X exhibited higher response rate to afatinib or neratinib (~80%) than to 1G TKIs (35-56%).

      Conclusion:
      Our data indicated that lung cancers harboring exon 18 mutations, although rare, should not be overlooked in clinical practice and that these cases are best treated with afatinib or neratinib, although the currently available in vitro diagnostic kits do not detect all exon 18 mutations.

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    ORAL 17 - EGFR Mutant Lung Cancer (ID 116)

    • Event: WCLC 2015
    • Type: Oral Session
    • Track: Treatment of Advanced Diseases - NSCLC
    • Presentations: 1
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      ORAL17.03 - Biomarkers for Efficacy in JO25567 Study Evaluating Erlotinib plus Bevacizumab versus Erlotinib in Advanced NSCLC with EGFR Mutation (ID 306)

      10:45 - 12:15  |  Author(s): T. Hida

      • Abstract
      • Presentation
      • Slides

      Background:
      Bevacizumab (B), an anti-vascular endothelial growth factor (VEGF) monoclonal antibody has been proven to provide additional efficacy benefit in combination with platinum-based chemotherapy for 1[st] line therapy of non-squamous non-small cell lung cancer (NSCLC). In JO25567 study, we observed that bevacizumab in combination with epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor, erlotinib (E) also provided additional 6.3 months median progression free survival (PFS) in advanced EGFR mutation-positive non-squamous NSCLC. To try to understand this additional effect of bevacizumab, we investigated the predictive biomarkers related to angiogenesis comprehensively in JO25567 study. Clnical trials registry number: JapicCTI-111390

      Methods:
      We evaluated the biomarkers in blood and tissue samples. All samples were collected before E+B or E treatment in JO25567 study. Angiogenesis related ligands and soluble receptors in serum were analyzed by multiplex, bead-based suspension array. Single nucleotide polymorphisms (SNPs) or variable number of tandem repeats (VNTR) of angiogenesis related genes were analyzed by direct sequencing or electrophoresis after PCR for blood sample. VEGF-A concentration in plasma were analyzed by Immunological Multi-Parametric Chip Technique (IMPACT) assay. Messenger RNA of genes related to angiogenesis in tumor tissue were quantitated by multiplex TOF-mass spectrometry (MassARRAY). Immunohistochemistry of neuropilin and exploratory proteomics analysis were planned for surgically resected tumor tissues. PFS were used as an efficacy variable of prediction. Multivariate Fractional Polynomial (MFP) and Subpopulation Treatment Effect Pattern Plot (STEPP) were used for biomarker screening.

      Results:
      One hundred fifty-two patients were treated with E+B or E in JO25567 study. We analyzed 26 ligands or soluble receptors in 134 serum samples. Follistatin and leptin were identified as potential biomarkers by MFP. The interaction p-value with adjustment of covariates for biomarker and efficacy was 0.0168 for follistatin and 0.0049 for leptin. STEPP suggested that high follistatin related to limited bevacizumab efficacy and low leptin related to higher bevacizumab efficacy. SNPs could be analyzed in 135 blood samples. In 12 SNPs and 1 VNTR of 8 genes, no gene related to bevacizumab efficacy. Plasma samples were collected from 105 patients. Median VEGF-A concentration of E+B group and E group were 18.0 pg/mL and 18.8 pg/mL respectively and was one sixth or more lower than previously reported breast and gastric cancers. Hazard ratio of E+B comparing with E for was 0.23 (95% CI: 0.09-0.60) for low plasma VEGF and was 0.56 (95% CI: 0.26-1.25) for high plasma VEGF. This trend was not consistent with previously reported studies. We analyzed mRNA expression from 24 surgical resected tumors and no predictive value was observed. Because of limited number of surgically resected tumors obtained, we couldn’t proceed exploratory proteomics analysis nor evaluate predictive value of neuropilin expression.

      Conclusion:
      In this comprehensive predictive biomarker analysis, follistatin and leptin in blood were identified as potential biomarker candidates for E+B therapy.

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