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J. Sheng



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    ORAL 29 - MASCC-IASLC Joint Session: Palliative and Supportive Care (ID 136)

    • Event: WCLC 2015
    • Type: Oral Session
    • Track: Palliative and Supportive Care
    • Presentations: 1
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      ORAL29.07 - Low Prognostic Nutritional Index Correlates with Worse Survival in Patients with Advanced NSCLC following EGFR-TKIs (ID 49)

      16:45 - 18:15  |  Author(s): J. Sheng

      • Abstract
      • Presentation
      • Slides

      Background:
      The systemic immunonutritional status has been postulated as related to the long-term prognosis in various cancer types. However, no studies have assessed the prognostic role of prognostic nutritional index (PNI) on the survival of patients with advanced non-small cell lung cancer (NSCLC) harboring epidermal growth factor receptor (EGFR)-activating mutations and receiving tyrosine kinase inhibitors (TKIs).

      Methods:
      Advanced NSCLC patients with sensitive EGFR mutations (19 deletion or L858R in exon 21) were retrospectively screened. The PNI was calculated as 10 x serum albumin value (g/dl) + 0.005 x peripheral lymphocyte count (per mm3). Univariate and multivariate analysis were performed to assess the prognostic value of relevant parameters.

      Results:
      144 cases were included for analysis after eligibility review. The optimal cut-off value of PNI for OS stratification was determined as 48.78 according to a R software-engineered, web-based system. Low PNI was significantly associated with elevated CRP level (p<0.0001) and non-response to TKIs (p=0.002). High PNI (high vs low, 35.10 vs 25.67 months; HR, 0.44; 95 % CI, 0.25–0.77; p = 0.004) correlated to superior OS. Survival analysis identified PNI as an independent prognostic factor(p=0.012). Subgroup analysis revealed that PNI was generally a significant prognostic factor in different clinical situations.

      Conclusion:
      Low PNI correlates with worse survival in patients with advanced NSCLC harboring EGFR sensitive mutations and treated with EGFR-TKIs. The assessment of PNI could assist the identification of patients following EGFR-TKIs treatment with poor prognosis and has implications for the routine monitoring and treatment.

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