Author of

• 12979

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  MO24 - NSCLC - Chemotherapy III (ID 110)

  • Event: WCLC 2013
  • Type: Mini Oral Abstract Session
  • Track: Medical Oncology
  • Presentations: 1
  • Moderators:R. Feld, S. Peters
  • Coordinates: 10/30/2013, 10:30 - 12:00, Parkside Ballroom A, Level 1

  • 12992

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    MO24.13 - Volume based growth tumor kinetics as a predictive biomarker in patients with EGFR-mutant lung adenocarcinoma receiving EGFR tyrosine kinase inhibitor (ID 1229)

    11:40 - 11:45  |  Author(s): J.B. Seo
    • Abstract
    • Presentation
    • Slides

    Background
    To determine whether volumetric assessment has potential as a predictive biomarker and to assess relationship between longitudinal tumor data during treatment and prognosis in lung adenocarcinoma patients with sensitizing EGFR mutations treated with EGFR tyrosine kinase inhibitor (TKIs).

    Methods
    We retrospectively assessed patients with EGFR-mutant stage IV lung adenocarcinoma, who underwent EGFR TKIs as second-line therapy and this treatment was repeated every three weeks until disease progression. All 106 patients with at least one measurable lung lesions were quantitatively analyzed in terms of tumor size and volume based on the whole tumor volume, on baseline contrast-enhanced CT scans and on follow-up CT scans of every two treatment cycle. A quantify for tumor response was evaluated with growth tumor kinetics, followed by determining correlation with early tumor parameters including change of size, volume, and response rate. Cox-proportional hazard model and Log-rank test were also applied to predict the overall survival. Figure 1

    Results
    Percent of volume change after two cycles of TKI treatment had a strong correlation with progression rate based on growth tumor kinetics (P < 0.001). Responders based on percent of volume change after two cycles of TKI treatment had a higher overall survival rate than non-responders (P = 0.001). The velocity of progression was also a good potential parameter to predict overall survival (P < 0.001). Figure 1

    Conclusion
    Early radiologic parameters of the tumor helped predict treatment response and overall survival in EGFR mutant lung adenocarcinoma patients treated with TKIs. Longitudinal tumor data also showed potential as a predictive factor.

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