Magnetic enrichment of bronchial epithelial cells from sputum for lung cancer diagnosis

Qi Qiu, Nevins W. Todd, Ruiyun Li, Hong Peng, Zhenqiu Liu, Harris G. Yfantis, Ruth L. Katz, Sanford A. Stass, Feng Jiang

Research output: Contribution to journalArticlepeer-review

41 Scopus citations

Abstract

BACKGROUND. Sputum is an easily accessible diagnostic material for lung cancer early detection by cytologic and molecular genetic analysis of exfoliated airway epithelial cells. However, the use of sputum is limited by its cellular heterogeneity, which includes >95% macrophages and neutrophils and only about 1% bronchial epithelial cells. We propose to obtain concentrated and purified bronchial epithelial cells to improve early detection of lung cancer in sputum samples. METHODS. Sputum was collected from patients with stage I nonsmall-cell lung cancer, cancer-free smokers, and healthy nonsmokers. Magnetic-assisted cell sorting (MACS) with anti-CD14 and anti-CD16 antibody beads were used to enrich bronchial epithelial cells by depleting macrophages and neutrophils from sputum. Fluorescence in situ hybridization (FISH) analysis for detection of FHIT deletion and cytology were evaluated in the enriched specimens. RESULTS. The bronchial epithelial cells were concentrated to 40% purity from 1.1% of the starting population, yielding an average of 36-fold enrichment and at least 2.3 × 105 cells per sample. Detecting FHIT deletions for lung cancer diagnosis produced 58% sensitivity in the enriched sputum, whereas there was 42% sensitivity in the unenriched samples (P=.02). Cytologic examination of the enriched sputum resulted in 53% sensitivity, as compared with 39% sensitivity in unenriched sputum (P=.03). Furthermore, only 2 cytocentrifuge slides of the unenriched sputum were needed for the analyses, as compared with up to 10 cytocentrifuge slides required from the unprocessed specimens. CONCLUSIONS. The enrichment of bronchial epithelial cells could improve the diagnostic value of sputum and the efficiency of genetic and cytologic analysis of lung cancer.

Original languageEnglish (US)
Pages (from-to)275-283
Number of pages9
JournalCancer
Volume114
Issue number4
DOIs
StatePublished - Aug 25 2008

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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