Author of

• 12021

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  MO12 - Prognostic and Predictive Biomarkers III (ID 96)

  • Event: WCLC 2013
  • Type: Mini Oral Abstract Session
  • Track: Medical Oncology
  • Presentations: 1
  • Moderators:B. Han, M. Edelman
  • Coordinates: 10/29/2013, 10:30 - 12:00, Parkside Ballroom B, Level 1

  • 12030

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    MO12.09 - BIM deletion polymorphism in Asian and treatment outcome to chemotherapy in advanced non-small cell lung cancer (ID 2530)

    10:30 - 12:00  |  Author(s): J. Lee
    • Abstract
    • Presentation
    • Slides

    Background
    BIM deletion polymorphism was reported to be associated with poor outcome to epidermal growth factor receptor (EGFR) inhibitor in advanced non-small cell lung cancer (NSCLC) harboring mutant EGFR gene. Little is known whether BIM deletion polymorphism influences treatment outcome to chemotherapy in NSCLC.

    Methods
    We prospectively collect blood samples and clinical data from two independent cohorts of advanced NSCLC patients. The first cohort is composed of 52 patients who received first-line chemotherapies, and the second cohort is composed of 69 patients who received chemotherapy after front-line gefitinib. BIM deletion polymorphism was determined from blood using polymerase chain reaction. EGFR gene was studied in 94 tumors and were classified as wild type, common EGFR mutation (deletion 19 or L858R), or other mutations.

    Results
    The median progression-free survival (PFS) to the first cohort and second cohort were 4.6 and 5.7 months, respectively (p=0.94). The PFS for tumors carrying wild-type, common mutant, and other mutant EGFR genes were 5.8, 4.4, and 7.2 months, respectively (p=0.31). The BIM deletion polymorphism was detected in 19 samples (15.7%). The PFS of patients with normal BIM (solid line of the figure) and BIM deletion polymorphism (dashed line of the figure) were 5.6 and 3.5 months (p=0.03). BIM deletion was related to shorter PFS in tumors carrying mutant EGFR gene (p=0.006) but not those carrying wild-type or other mutant EGFR genes. A multivariate analysis suggested BIM deletion was an independent predictor for shorter PFS to chemotherapy (harzard ratio=2.71, p=0.003).

    variate	hazard ratio	p-value
    BIM deletion	2.71	0.003
    Male gender	1.57	0.04
    stage IV disease	1.93	0.18
    EGFR mutation	1.0	0.96
    Old age	1.01	0.21

    Figure 1

    Conclusion
    BIM deletion polymorphism is associated with shorter PFS to chemotherapy in advanced NSCLC.

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