Log on / register
BioMed Central home | Journals A-Z | Feedback | Support | My details
Open AccessResearch

Gene expression subtraction of non-cancerous lung from smokers and non-smokers with adenocarcinoma, as a predictor for smokers developing lung cancer

David Stav1 email, Ilan Bar2 email and Judith Sandbank3 email

Pulmonary Institute, Assaf Harofeh Medical Center, Zerrifin 70300, Israel

Deparment of Chest Surgery, Assaf Harofeh Medical Center, Zerrifin 70300, Israel

Deparment of Pathology, Assaf Harofeh Medical Center, Zerrifin 70300, Israel

author email corresponding author email

Journal of Experimental & Clinical Cancer Research 2008, 27:45doi:10.1186/1756-9966-27-45

Published: 24 September 2008

Abstract

Background

Lung cancer is the commonest cause of cancer death in developed countries. Adenocarcinoma is becoming the most common form of lung cancer. Cigarette smoking is the main risk factor for lung cancer. Long-term cigarettes smoking may be characterized by genetic alteration and diffuse injury of the airways surface, named field cancerization, while cancer in non-smokers is usually clonally derived. Detecting specific genes expression changes in non-cancerous lung in smokers with adenocarcinoma may give us instrument for predicting smokers who are going to develop this malignancy.

Objectives

We described the gene expression in non-cancerous lungs from 21 smoker patients with lung adenocarcinoma and compare it to gene expression in non-cancerous lung tissue from 10 non-smokers with primary lung adenocarcinoma.

Methods

Total RNA was isolated from peripheral non-cancerous lung tissue. The cDNA was hybridized to the U133A GeneChip array. Hierarchical clustering analysis on genes obtained from smokers and non-smokers, after subtracting were exported to the Ingenuity Pathway Analysis software for further analysis.

Results

The genes subtraction resulted in disclosure of 36 genes with high score. They were subsequently mapped and sorted based on location, cellular components, and biochemical activity. The gene functional analysis disclosed 20 genes, which are involved in cancer process (P = 7.05E-5 to 2.92E-2).

Conclusion

Detected genes may serve as a predictor for smokers who may be at high risk of developing lung cancer. In addition, since these genes originating from non-cancerous lung, which is the major area of the lungs, a sample from an induced sputum may represent it.


© 1999-2010 BioMed Central Ltd unless otherwise stated. Part of Springer Science+Business Media.