Source: Annual Congress 2011 - Innovative diagnostic methods for lung cancer
Disease area: Respiratory infections, Thoracic oncology

Abstract

Objective: Early diagnosis of lung cancer is critical for successful treatment and improving the outcome of patients. The cancer cells synthesize proteins as well as all of the other cells. Cancer may be recognised with these proteins profiles analysed with any methods. With SELDI-TOF-MS method, protein profiles can be obtained from serum, pleural fluid, urine and tissue samples.
The goal of this study was to identified protein profiles and to distinguish lung cancer patients from healty individuals by serum protein profiles.
METHODS:
170 patients with lung cancer, 53 individuals with no evidence lung cancer but high risk for lung cancer and 47 healthy individuals totally 270 individuals were included in this study.
Venous samples were taken from all cases. All of the serum samples were analyzed by SELDI-TOF-MS method for proteomics investigation.
RESULTS:
SELDI-TOF spectra of patients with lung cancer, healthy control and high risk are shown for the most discriminatory peaks of 11480 m/z, 11547 m/z and 11679 m/z.

Discriminatory proteomic features between lung cancers and healthy controls.

Proteomic feature (m/z)	p value	AUROC	Average intensity of lung cancer cases	Average intensity of healty controls
11679	3.12	0.88	1.24	-
11480	1.35	0.87	0.88	-
11547	4.87	0.87	1.03	-

These proteomic features were present in only lung cancer group, but not in healthy control or high risk groups.
Conclusion: SELDI-TOF-MS method can correctly distinguish patients with lung cancer from healthy individuals and SELDI-TOF-MS method may be a new tool in diagnosis and screening test for lung cancer.

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Citations should be made in the following way:
C. Simsek, O. Sönmez, A. Yurdakul, F. Özmen, N. Zengin, A. Keyf, D. Kubilay, O. Gülbahar, S. Karatayli, M. Bozdayi, C. Öztürk (Ankara, Turkey). Diagnostic accuracy of SELDI-TOF-MS (surface enhanced laser desabsorbtion ionization time of flight mass spectrometry) method in early diagnosis of lung cancer. Eur Respir J 2011; 38: Suppl. 55, 4501

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