Serum receptor-binding cancer antigen expressed on SiSo cells (RCAS1) as a diagnostic and prognostic marker for non-small cell lung cancer

Tumori. 2014 Jul-Aug;100(4):107e-11e. doi: 10.1700/1636.17920.

Abstract

Background: Receptor-binding cancer antigen expressed on SiSo cells (RCAS1) is a human tumor-associated antigen that induces cell-cycle arrest and apoptosis in cells bearing the RCAS1 receptor. The aim of the study was to elucidate the diagnostic and prognostic value of RCAS1 levels in patients with non-small cell lung cancer.

Methods: Sera collected from 30 healthy volunteers, 40 patients with benign lung diseases and 97 non-small cell lung cancer cases were subjected to RCAS1 ELISA, and relationships between serum RCAS1 and clinical characteristics were evaluated.

Results: Serum RCAS1 levels were higher in the non-small cell lung cancer group than in the healthy volunteers and benign lung disease groups (P <0.001). With a cutoff level 19.8 U/ml, RCAS1 had a sensitivity of 87.6%, a specificity of 82.5% and an accuracy of 86.1% for non-small cell lung cancer. Univariate analysis revealed that non-small cell lung cancer patients with elevated RCAS1 levels had significantly shorter overall survival (P = 0.042) than the other two groups. By multivariate analysis, serum RCAS1 was identified as an independent prognostic factor (P = 0.003).

Conclusions: Assessment of serum RCAS1 levels could be considered as a diagnostic and prognostic marker in non-small cell lung cancer.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Antigens, Neoplasm / blood*
  • Biomarkers, Tumor / blood*
  • Carcinoma, Non-Small-Cell Lung / blood*
  • Carcinoma, Non-Small-Cell Lung / diagnosis*
  • Carcinoma, Non-Small-Cell Lung / immunology
  • Enzyme-Linked Immunosorbent Assay
  • Female
  • Humans
  • Lung Neoplasms / blood*
  • Lung Neoplasms / diagnosis*
  • Lung Neoplasms / immunology
  • Lung Neoplasms / pathology
  • Male
  • Middle Aged
  • Neoplasm Staging
  • Predictive Value of Tests
  • Prognosis
  • Proportional Hazards Models

Substances

  • Antigens, Neoplasm
  • Biomarkers, Tumor
  • EBAG9 protein, human