Author of

• 10923

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  P1.18 - Poster Session 1 - Pathology (ID 175)

  • Event: WCLC 2013
  • Type: Poster Session
  • Track: Pathology
  • Presentations: 1
  • Moderators:
  • Coordinates: 10/28/2013, 09:30 - 16:30, Exhibit Hall, Ground Level

  • 10927

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    P1.18-004 - The Relationship Between EGFR Mutations and the Clinicopathologic Features of Lung Adenocarcinomas Diagnosed by the Small Biopsies (ID 961)

    09:30 - 09:30  |  Author(s): J.H. Chung
    • Abstract

    Background
    EGFR mutation analysis is necessary and important in clinical practice. But sometimes advanced lung cancer is diagnosed by cytology or inadequate specimens for DNA extractions. To decide the treatment of these patients, it is helpful to investigate the surrogate marker to predict EGFR mutation. There has been many reports about the association of EGFR mutation with clinicopathologic features, but most of them were investigated by the resection specimens. This study was aimed to find the relationship between EGFR mutations and clinicopathologic features in small biopsy specimens.

    Methods
    The medical records of 359 lung adenocarcinoma patients who diagnosed from 2008 to 2011 were reviewed. All the specimens of these patients were investigated for EGFR mutations (Exon 18-21) by direct sequencing method. 134 specimens were classified according to IASLC/ATS/ERS classification and studied the relationship between EGFR mutation and histologic subtype.

    Results
    We can ascertain that incidence of EGFR mutations is associated with gender and smoking history in small biopsy specimens(Table 1). This is already well-known, but almost researches were investigated by resection specimens. EGFR mutations were more frequently observed with acinar and lepidic components, conversely infrequently with solid and mucinous components. The positive expression of TTF-1 was also related with more frequent EGFR mutations than negative expression. Pathologic features that even if it is confirmed by small biopsy specimens can predict EGFR mutation status. Table 1. Relationship between EGFR mutation and clinical features Figure 1 Table 2. Relationship between EGFR mutation and histologic subtype by IASLC.Figure 2

    Conclusion
    Clinicopathologic features can predict the EGFR mutation status, but cannot replace the mutation analysis. Histologic subtypes of lung adenocarcinma, even if it confirmed by small biopsy specimens can be a good predictive marker of EGFR mutations.