Protein expression differences between lung adenocarcinoma and squamous cell carcinoma with brain metastasis

Anticancer Res. 2014 Oct;34(10):5593-7.

Abstract

Aim: We investigated tissue biomarkers in non-small cell lung cancer (NSCLC) to find indicators of brain metastasis and peritumoral brain edema.

Patients and methods: Fifty-two cases were studied out of which 26 had corresponding brain metastatic tissue. Clinicopathological characteristics of tumors were correlated with biomarkers of cell adhesion, cell growth, cell cycle and apoptosis regulation that were previously immunohistochemically studied but never analyzed separately according to histological subgroups, gender and smoking history.

Results: Increased collagen XVII in adenocarcinoma (ADC) and increased caspase-9, CD44v6, and decreased cellular apoptosis susceptibility protein (CAS) and Ki-67 in squamous cell carcinoma (SCC) correlated significantly with brain metastasis. Increased β-catenin, E-cadherin and decreased caspase-9 expression in primary SCC, and decreased CD44v6 expression in brain metastatic SCC tissues showed a significant correlation with the extent of peritumoral brain edema. Positive correlation between smoking and biomarker expression could be observed in metastatic ADCs with p16 and caspase-8, while-negative correlation was found in SCC without brain metastasis with caspase-3, and in SCC with brain metastasis with p27.

Conclusion: Our results highlight the importance of separate analysis of biomarker expression in histological subtypes of NSCLC.

Keywords: CD44v6; Lung cancer; brain metastasis; caspase; gender differences; immunohistochemistry; peritumoral edema; smoking.

MeSH terms

  • Adenocarcinoma / metabolism*
  • Adenocarcinoma / pathology*
  • Adult
  • Aged
  • Biomarkers
  • Brain Neoplasms / secondary*
  • Carcinoma, Squamous Cell / metabolism*
  • Carcinoma, Squamous Cell / pathology*
  • Female
  • Humans
  • Immunohistochemistry
  • Lung Neoplasms / metabolism*
  • Lung Neoplasms / pathology*
  • Male
  • Middle Aged
  • Prognosis
  • Proteomics
  • Risk Factors

Substances

  • Biomarkers