Diagnostic and prognostic value of serum periostin in patients with non-small cell lung cancer

Oncotarget. 2017 Mar 21;8(12):18746-18753. doi: 10.18632/oncotarget.13004.

Abstract

The periostin protein is expressed in a variety of human malignancies. The aim of this study was to explore the diagnostic and prognostic value of serum periostin levels in patients with non-small cell lung cancer (NSCLC). We measured serum periostin levels by ELISA in 296 NSCLC patients, 120 benign lung diseases (BLD) patients and 160 healthy controls. The levels of serum periostin in NSCLC patients were significantly elevated compared with those in healthy controls (P < 0.001) and BLD patients (P < 0.001). Using a cutoff value of 30.87 ng/ml, the sensitivity and specificity of periostin in differentiating between NSCLC patients and BLD patients, and between NSCLC patients and healthy controls was, 48.6 and 91.7%, and 51.4 and 97.5%, respectively. Kaplan-Meier log rank analysis revealed that the higher serum periostin levels group had a poorer progression-free survival (PFS) and overall survival (OS) compared with lower periostin group (P = 0.024, P = 0.015, respectively). Further univariate and multivariate Cox regression analysis showed that serum periostin was an independent risk factor of prognosis of NSCLC patients. In conclusion, our study suggests that serum periostin could be considered as a diagnostic and prognostic marker for NSCLC patients.

Keywords: biomarker; diagnosis; non-small cell lung cancer; periostin; prognosis.

MeSH terms

  • Adult
  • Aged
  • Area Under Curve
  • Biomarkers, Tumor / blood*
  • Carcinoma, Non-Small-Cell Lung / blood*
  • Carcinoma, Non-Small-Cell Lung / diagnosis
  • Carcinoma, Non-Small-Cell Lung / mortality
  • Cell Adhesion Molecules / blood*
  • Disease-Free Survival
  • Enzyme-Linked Immunosorbent Assay
  • Female
  • Humans
  • Kaplan-Meier Estimate
  • Lung Neoplasms / blood*
  • Lung Neoplasms / diagnosis
  • Lung Neoplasms / mortality
  • Male
  • Middle Aged
  • Prognosis
  • Proportional Hazards Models
  • ROC Curve
  • Sensitivity and Specificity

Substances

  • Biomarkers, Tumor
  • Cell Adhesion Molecules
  • POSTN protein, human