Skip to main content
Log in

Detection of DNA aneuploidy in exfoliated airway epithelia cells of sputum specimens by the automated image cytometry and its clinical value in the identification of lung cancer

  • Published:
Current Medical Science Aims and scope Submit manuscript

Summary

To evaluate the value of detection of DNA aneuploidy in exfoliated airway epithelia cells of sputum specimens by the automated image cytometry for the identification of lung cancer, 100 patients were divided into patient group (50 patients with lung cancer) and control group (30 patients with tuberculosis and 20 healthy people). Sputum was obtained for the quantitative analysis of DNA content of exfoliated airway epithelial cells with the automated image cytometry, together with the examinations of brush cytology and conventional sputum cytology. Our results showed that DNA aneuploidy (DI>2.5 or 5c) was found in 20 out of 50 sputum samples of lung cancer, 1 out of 30 sputum samples from tuberculosis patients, and none of 20 sputum samples from healthy people. The positive rates of conventional sputum cytology and brush cytology were 16% and 32%, which was lower than that of DNA aneuploidy detection by the automated image cytometry (P<0. 01,P>0.05). Our study showed that automated image cytometry, which uses DNA aneuploidy as a marker for tumor, can detect the malignant cells in sputum samples of lung cancer and it is a sensitive and specific method serving as a complement for the diagnosis of lung cancer.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Peter W, Payne R T, Thomas J Set al. Sputum by quantitative microscopy: a reexamination of a portion of the national cancer institute cooperative early lung cancer study. Mayo Clinc Proc, 1997, 72(8):697

    Article  Google Scholar 

  2. Gagneten C B, Geller G E, Saenz M C. Diagnosis of bronchogenic carcinoma through the cytologic examination of sputum with special reference to tumour typing. Acta Cytol, 1970, 20:530

    Google Scholar 

  3. Johnston W W. Cytologic diagnosis of lung cancer: Principle and problems. Pathol Res Pract, 1986. 181:1

    Article  CAS  PubMed  Google Scholar 

  4. Marek W, Krampe Set al. Automatisierte quantitative image-Zytometrie bronchialer spülflüssigkeiten bei Verdacht auf broncho-pulmonale Tumoren: Vergleich mit Zytologie, Histologie und klinischer Diagnose. Pneumologie, 1999, 53:583

    Article  CAS  PubMed  Google Scholar 

  5. Mareke W, Kotschy-Lang N, Muti Aet al. Can Semiautomated image cytometry on induced sputum become a screening tool for lung cancer? Euro Respir J, 2001, 18: 942

    Google Scholar 

  6. Schulte E, Wittekind D H. Standarization of the Feulgen reaction: influence of chromatin condensation on the kinetics of acid hydstoltsis. Anal Cell Pathol, 1990, 2: 149

    CAS  PubMed  Google Scholar 

  7. Auer C, Caspersson T, Wallgren A. DNA content and survival in mammary carcinoma. Anat Quant Cytol, 1980, 3:161

    Google Scholar 

  8. Biesterfeld S, Gerres Ket al. Polyploidy in non-neoplastic tissue. Clin Pathol, 1994, 47:38

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

YANG Jian, male, born in 1967, Associate Professor

This project was supported by a grant from the National Natural Sciences Foundation of China (No. 399990570).

Rights and permissions

Reprints and permissions

About this article

Cite this article

Jian, Y., Yikai, Z. Detection of DNA aneuploidy in exfoliated airway epithelia cells of sputum specimens by the automated image cytometry and its clinical value in the identification of lung cancer. Current Medical Science 24, 407–410 (2004). https://doi.org/10.1007/BF02861880

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02861880

Key words

Navigation