Author of

• 20203

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  P1.01 - Advanced NSCLC (ID 757)

  • Event: WCLC 2017
  • Type: Poster Session with Presenters Present
  • Track: Advanced NSCLC
  • Presentations: 1
  • Moderators:
  • Coordinates: 10/16/2017, 09:30 - 16:00, Exhibit Hall (Hall B + C)

  • 22428

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    P1.01-022 - Prediction of Central Nervous System Progression During Crizotinib Treatment in ALK+ NSCLC Among Hispanics (ID 10479)

    09:30 - 09:30  |  Author(s): A. Ruiz Patino
    • Abstract
    • Slides

    Background:
    Crizotinib has offered patients with non-small cell lung cancer (NSCLC) positive to ALK rearrangements a powerful therapeutical option. Despite the benefit of crizotinib, most patients develop resistance and progression with special emphasis on the central nervous system. Early identification of patients that will present brain metastases could potentially lead to additional interventions preventing relapse. The objective of this study was to identify patients who would present with future CNS relapse after initiation of crizotinib.
    
    Method:
    A random forest tree model was constructed. Data from Hispanic patients with NSCLC harboring ALK rearrangements treated with crizotinib were collected from the CLICaP database. Clinical variables including age at diagnosis, sex, smoking status, number of metastasis and location and objective response were included. Based on these parameters, progression to central nervous system was predicted.
    
    Result:
    66 patients were included in the analysis. Median age for the cohort was 55 years old (r, 33-85), 33 (59%) were women, 38 (58%) were never smokers and 29 (44%) presented disease progression during crizotinib treatment while 17 had central nervous system involvement. Median overall survival (OS) was 13.9 months (95%CI 11.6-19.3) in contrast to 8.3 months (95%CI 4.47-13.13) in terms of progression free survival (PFS) after crizotinib initiation. The best predictors for central nervous system progression were age, sex, number of metastasis, objective response to crizotinib and previous CNS involvement. With an AUC of 0.99, a sensitivity of 100% and a specificity of 88%, the model reached an overall accuracy of 97%.
    
    Conclusion:
    Central nervous system progression after crizotinib treatment can be accurately predicted. Validation for this model in larger cohorts is warranted.
    
    

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