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. 2011 Sep 1;2(5):1003-1014.
doi: 10.3892/ol.2011.362. Epub 2011 Jul 7.

A genomic approach to investigate expression profiles in Slovenian patients with gastric cancer

Petra Hudler  1 , Stanislav Repše, Robert Juvan, Radovan Komel
Affiliations

A genomic approach to investigate expression profiles in Slovenian patients with gastric cancer

Petra Hudler et al. Oncol Lett. .

Abstract

Despite its decreasing frequency in developed countries, gastric cancer remains a significant health burden. The aim of the present study was to construct cDNA libraries and analyze differentially expressed genes related to this disease. Gene expression profiles were generated with suppressive subtraction hybridization (SSH). We constructed eight SSH libraries, four representing up-regulated genes and four representing down-regulated genes in tumor tissues. Our approach revealed that several genes are abnormally expressed in gastric cancer. We also identified global deregulation of several pathways involved in the maintenance of normal gastric homeostasis. The results of this study support the view that, as a result of complex pathogenesis, diversity of genomic aberrations and multiplicity of carcinogenic causes, gastric cancer cannot be reduced to a single molecule. Our results may contribute new insight into molecular aspects of the disease and may prove advantageous for future development of therapeutic targets and diagnostic molecular markers.

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Figures

Table 1
Table 1. Most abundant transcripts in SSH libraries obtained from tissues of Slovenian patients with gastric cancer.
Table 2
Table 2. Differentially expressed genes found in other patients.a
Figure 1
Figure 1. Distribution of GO terms corresponding to the differentially expressed genes in patient 2 with gastric cancer. Functional profiles were generated with an Onto-Express tool from Onto-Tools software package. Numbers are the number of genes in the GO groups. (A) Up-regulated and (B) down-regulated groups of genes.
Figure 2
Figure 2. Distribution of GO terms corresponding to the differentially expressed genes in patient 3 with gastric cancer. Functional profiles were generated with an Onto-Express tool from the Onto-Tools software package. Numbers are the number of genes in the GO groups. (A) Up-regulated and (B) down-regulated groups of genes.
Figure 3
Figure 3. Distribution of GO terms corresponding to the differentially expressed genes in patient 6 with gastric cancer. Functional profiles were generated with an Onto-Express tool from the Onto-Tools software package. Numbers are the number of genes in the GO groups. (A) Up-regulated and (B) down-regulated groups of genes.
Figure 4
Figure 4. Distribution of GO terms of differentially expressed genes in patient with chronic gastritis (CG). Numbers are the number of genes in the GO groups. (A) Up-regulated and (B) down-regulated groups of genes.
Table 3(i)
Table 3(i). Some of the noteworthy pathways involving differentially expressed genes found in Slovenian gastric cancer patients.
Table 3(ii)
Table 3(ii). Continued.
Table 3(iii)
Table 3(iii). Continued.
Table 3(iv)
Table 3(iv). Continued.
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