Expression and mutation of the c-kit gene and correlation with prognosis of small cell lung cancer

Hong-Yang Lu1, Gu Zhang, Qiao-Yuan Cheng

  • 1Zhejiang Key Laboratory Diagnosis and Treatment Technology on Thoracic Oncology (esophagus, lung), Zhejiang Province.

Oncology Letters
|July 19, 2012
PubMed

Insights

Small cell lung cancer (SCLC) exhibits high c-kit expression in China. Strong c-kit staining, but not mutations, is linked to poorer survival, suggesting a potential prognostic marker for SCLC patients.

Area of Science:

  • Oncology
  • Molecular Biology
  • Cancer Research

Background:

  • Small cell lung cancer (SCLC) is an aggressive malignancy with poor long-term survival rates.
  • Targeted therapies like imatinib mesylate show promise, but their efficacy in SCLC, particularly in China, requires investigation.
  • Understanding c-kit expression and mutation in SCLC is crucial for developing novel therapeutic strategies.

Purpose of the Study:

  • To investigate the expression and mutation status of the c-kit gene in Chinese SCLC patients.
  • To determine the correlation between c-kit expression/mutation and the prognosis of SCLC.
  • To evaluate the potential of c-kit as a therapeutic target or prognostic biomarker in SCLC.

Main Methods:

  • Immunohistochemistry was employed to assess c-kit protein expression in 36 SCLC patient samples.
  • Pyrosequencing assays were utilized to detect mutations in c-kit exons 9 and 11.
  • Patient survival data was analyzed to correlate c-kit status with prognosis.

Main Results:

  • High incidence of c-kit positive expression (83.3%) was observed in SCLC patients.
  • Strong c-kit staining was associated with significantly shorter overall survival.
  • No mutations were detected in c-kit exons 9 and 11.

Conclusions:

  • The expression of c-kit is prevalent in Chinese SCLC patients.
  • Strong c-kit staining serves as a negative prognostic factor for SCLC survival.
  • Targeting c-kit may not be effective due to the absence of mutations, but its expression level is a significant prognostic indicator.

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