title: [Clinical value of capture of cancer cells in pleural fluid of patients with lung cancer by cytochip].
abstract: BACKGROUND
  Immunocytochemistry is valuabale in differentiating malignant fluids from benign ones. However, the diagnostic value of a single tumor marker is limited. The aim of this study is to evaluate the clinical value of capture of cancer cells in pleural fluids of patients with lung cancer by cytochip.
  
  
  METHODS
  A new pattern cytochip was developed to immunize hybridization of cells in pleural fluids of patients with 42 lung cancers and with 20 lung benign lesions. Ten antibodies were fixed on the cytochip, they were epithelial specific antigen (ESA), CD44V6, ND-1, T cell (CD3), CD45RO, B cell (CD20), CD79a, Hodgkin's cell (CD15), CD30 and macrophage (CD68).
  
  
  RESULTS
  The point of positive hybridization showed round distribution with clear border, and the shape of cell displayed well. The positive numbers of ESA, CD44V6, ND-1 were 35, 30, 38 respectively in pleural fluids of 42 patients with luog cancers; lymphocytes and neutrophils were found on the 1 ESA and 1 ND-1 respectively, and only lymphocytes were found on the 3 CD44V6 in 20 ones with lung benign lesions; the other 7 antibodies did not capture cancer cells except for lymphocytes, neutrophils and macrophages from two pleural fluids.
  
  
  CONCLUSIONS
  The cytochip could be an important practical foreground in clinic for diagnosing cancer cells in pleural fluids of patients with lung cancer.
authors.affiliation: Pathological Diagnosis Center, The First Affiliated Hospital, China Medical University, Shenyang, Liaoning 110001, P.R.China.
authors.forename: Guangping
authors.initials: G
authors.lastname: Wu
authors.forename: Weijian
authors.initials: W
authors.lastname: Hou
authors.forename: Yujie
authors.initials: Y
authors.lastname: Zhao
authors.forename: Enhua
authors.initials: E
authors.lastname: Wang
authors.forename: Changqing
authors.initials: C
authors.lastname: Fang
authors.forename: Shuli
authors.initials: S
authors.lastname: Liu
authors.forename: Jindan
authors.initials: J
authors.lastname: Song