Immunohistochemical analysis of non-small cell lung cancer: correlation with clinical parameters and prognosis

J Korean Med Sci. 2007 Apr;22(2):318-25. doi: 10.3346/jkms.2007.22.2.318.

Abstract

Non-small cell lung cancers (NSCLC) vary in their biologic behavior. Recurrence and tumor-related mortality may be attributable to molecular abnormalities in primary tumors. This study evaluated such immunophenotypes with regard to cell cycle regulation and proliferation, apoptosis, and angiogenesis, to determine their significance for patient outcome. Core biopsies from 219 patients with NSCLC were assembled on tissue microarrays, and the expressions of p16, p21, p27, cyclin B1, cyclin E, Ki-67, caspase-3, survivin, bcl-2, VEGF, and endostatin were evaluated by immunohistochemistry. Despite previously described prognostic relevance of some of the investigated molecules, many of those markers were not directly associated with recurrence or survival. However, there was a trend for p16 immunoreactivity to be associated with a good prognosis (57% vs. 42% in 5-yr survival) (p=0.071). bcl-2 expression was strongly correlated with a better outcome (65% vs. 45% in 5-yr survival) (p=0.029), and the hazard of death for bcl-2 positive patients was 0.42 times of that for bcl-2 negative patients (p=0.047). A multivariate analysis with Cox proportional hazards model confirmed that the lymph node status (p=0.043) and stage (p=0.003) were other independent prognostic factors. Our results suggest that p16 and bcl-2 provide prognostic information independent of the TNM stage in NSCLC.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Biomarkers, Tumor / analysis*
  • Carcinoma, Non-Small-Cell Lung / diagnosis*
  • Carcinoma, Non-Small-Cell Lung / metabolism*
  • Carcinoma, Non-Small-Cell Lung / mortality
  • Female
  • Humans
  • Korea / epidemiology
  • Lung Neoplasms / diagnosis*
  • Lung Neoplasms / metabolism*
  • Lung Neoplasms / mortality
  • Male
  • Neoplasm Proteins / analysis*
  • Outcome Assessment, Health Care / methods*
  • Prognosis
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Statistics as Topic
  • Survival Analysis
  • Survival Rate

Substances

  • Biomarkers, Tumor
  • Neoplasm Proteins