Yu CD, Xu SH, Mou HZ, Jiang ZM, Zhu CH, Liu XL. Gene expression profile differences in gastric cancer, pericancerous epithelium and normal gastric mucosa by gene chip. World J Gastroenterol 2005; 11(16): 2390-2397 [PMID: 15832406 DOI: 10.3748/wjg.v11.i16.2390]
Corresponding Author of This Article
Dr. Chuan-Ding Yu, Zhejiang Cancer Research Institute, No. 38 Guangji Road, Hangzhou 310022, Zhejiang Province, China. yuchuanding@hotmail.com
Article-Type of This Article
Gastric Cancer
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Chuan-Ding Yu, Shen-Hua Xu, Hang-Zhou Mou, Zhi-Ming Jiang, Chi-Hong Zhu, Xiang-Lin Liu, Zhejiang Cancer Research Institute, Hangzhou 310022, Zhejiang Province, China
ORCID number: $[AuthorORCIDs]
Author contributions: All authors contributed equally to the work.
Correspondence to: Dr. Chuan-Ding Yu, Zhejiang Cancer Research Institute, No. 38 Guangji Road, Hangzhou 310022, Zhejiang Province, China. yuchuanding@hotmail.com
Telephone: +86-571-88122588 Fax: +86-571-88122508
Received: April 28, 2004 Revised: April 29, 2004 Accepted: June 28, 2004 Published online: April 28, 2005
Abstract
AIM: To study the difference of gene expression in gastric cancer (T), pericancerous epithelium (P) and normal tissue of gastric mucosa (C), and to screen an associated novel gene in early gastric carcinogenesis by oligonucleotide microarray.
METHODS: U133A (Affymetrix, Santa Clara, CA) gene chip was used to detect the gene expression profile difference in T, P and C, respectively. Bioinformatics was used to analyze the detected results.
RESULTS: When gastric cancer was compared with normal gastric mucosa, 766 genes were found, with a difference of more than four times in expression levels. Of the 766 genes, 530 were up-regulated (Signal Log Ratio [SLR]>2), and 236 were down-regulated (SLR<-2). When pericancerous epithelium was compared with normal gastric mucosa, 64 genes were found, with a difference of more than four times in expression levels. Of the 64 genes, 50 were up-regulated (SLR>2), and 14 were down-regulated (SLR<-2). Compared with normal gastric mucosa, a total of 143 genes with a difference in expression levels (more than four times, either in cancer or in pericancerous epithelium) were found in gastric cancer (T) and pericancerous epithelium (P). Of the 143 genes, 108 were up-regulated (SLR>2), and 35 were down-regulated (SLR<-2).
CONCLUSION: To apply a gene chip could find 143 genes associated with the genes of gastric cancer in pericancerous epithelium, although there were no pathological changes in the tissue slices. More interesting, six genes of pericancerous epithelium were up-regulated in comparison with genes of gastric cancer and three genes were down-regulated in comparison with genes of gastric cancer. It is suggested that these genes may be related to the carcinogenesis and development of early gastric cancer.
Differentially expressed genes from different specimens may be detected with parallel analysis by gene chips. This technique possesses many advantages, of which the greatest is to improve traditional experiments by allowing a single or several gene expression differences to be observed in a single test. More and more cDNA microarray methods are applied in the study of gene expression. In the paper, a gene chip technique was used to analyze the different gene expression patterns in gastric cancer, its pericancerous epithelium tissue and normal tissue of gastric mucosa. Exploring tumor-associated gene-clusters and their role in the process of carcinogenesis and development of gastric cancer is helpful in gaining a comprehensive understanding of the molecular mechanisms in cell transformation. This may also provide molecular markers and target genes for clinical diagnosis and prevention, and treatment of gastric cancer.
MATERIALS AND METHODS
Materials
Gastric cancer tissues and pericancerous epithelial tissues as well as normal gastric mucosa tissues were obtained from five patients who underwent gastrectomy at our hospital. For each specimen one part was immediately snap-frozen in liquid nitrogen and the other was used for histopathological examination to ensure all the pericancerous and control gastric mucosa without cancer cells but with their corresponding histological appearance. The clinical and pathological data of these patients are shown in Table 1.
Table 1 Clinical and pathological data of five patients with gastric cancer.
Number of In-P
Name
Sex
Age (yr)
Pathological diagnosis
Lymph metastasis
Clinical stage
113702
Jiang
F
45
Lesser curvature of stomach invasion ulcer type moderate differentiation adenocarcinoma invasion serosa
1/35
III
123730
Xu
M
48
Anterior wall in body of stomach moderate differentiation adenocarcinoma invasion muscular layers and nerve
1/17
III
123673
Tang
F
57
Lesser curvature in cardia of stomach invasion ulcer type moderate differentiation adenocarcinoma invasion serosa
1/14
III
123808
Yu
F
49
Anterior wall in cardia of stomach poor-moderate differentiation adenocarcinoma, a part of mucinous adenocarcinoma and esophagus of extremities inferior
0/35
II
123733
Huang
M
60
Cardia of stomach node type moderate differentiation adenocarcinoma invasion muscular layer esophagus
5/22
III
Oligonucleotide microarray gene chip
Human full-length genome U133A (Affymetrix, Santa Clara, CA) contained about 18000 full-length genes from the unigene GenBank.
Sample preparation
Total RNA was extracted by a single step method[1]. Briefly, after T, P and C tissues were taken out from liquid nitrogen, specimens were ground completely into tiny powders while liquid nitrogen was added into a ceramic mortar. TRIzol was used to extract total RNA. A QIAGEN reagent kit was used to purify the total RNA. A spectrophotometer was used to calculate the total RNA concentration on the basis of optical density of A260. Total RNA was taken out from the T, P and C tissues and mixed, respectively. T7-(dT)24 was made for a primer, the first strand of cDNA was synthesized through retro-transcription on the base of the first strand as a template to synthesize the second strand. After the double stranded DNA was purified, a high yield RNA transcript labeling kit was used to transcribe synthetic cRNA directly. Then the transcribed cRNA was purified and treated at high temperature to produce fragments of 35-200 bp cRNA.
Hybridization and washing
The fragments of cRNA were mixed with other control agents to prepare a hybridization solution, the hybridization solution was injected into the chip. The three chips (T, P, C) were put into the hybridization oven (640 type) for 16 h to finish the hybridization procedure. The chips were taken out from the hybridization oven to recover the hybridization solution, then each composition elution and staining were automatically completed in the Fluidics Station 400.
Fluorescence scanning and result analysis
The chip was scanned with a GeneChip scanner. The intensity value of a fluorescent signal was obtained by expressing those genes. An internal reference gene (housekeeping gene) was chosen in advance. With regard to the primary signals, data were normalized and corrected. The acquired image was analyzed by Microarray suit software using a digital computer, and the intensity of fluorescence signals and its ratio were calculated.
RESULTS
Quantity judgment of the test chip
Each scanning profile was shown after hybridization with the test chip (Figure 1). A clearly printed character “GeneChip test” was on the upper of the profile. A lot of spots and well-distributed lines were around the profile. Some spots were on the four corners and the character “+” was clear. There was a good quantity between the gene chip and the samples of RNA. So this was a complete and reliable result of the detecting gene chip. Then, the samples from three groups were hybridized with U133A gene chip and scanned, respectively.
Figure 1 Control cRNA vs test chip post-hybridization.
Hybridization result of the sample chip
A scanning profile was obtained from the samples of three groups after being hybridized with U133A gene chip (Figure 2). The scatter plots are shown in Figure 3.
Figure 2 Hybridization results of the sample chip of scanning results.
A: Post-hybridization of scanning results in control cRNA vs U133A chip; B: Post-hybridization of scanning results in gastric cancer group cRNA vs U133A chip; C: Post-hybridization of scanning results in pericancerous group cRNA vs U133A chip.
Figure 3 Scatter plots in gastric cancer and pericancerous tissues A: Scatter plots in gastric cancer tissue vs control B: Scatter plots in pericancerous tissue vs control.
Bioinformatics was used to detect and analyze the number of differentially expressed genes in gastric cancer (T) or pericancerous tissues (P). The results were compared to the normal gastric mucosa as shown in Table 2.
Table 2 Differentially expressed gene number in T, P and C.
Numbers of genes
Up-regulated
Down-regulated
SLR>2
SLR>3
SLR <-2
SLR <-3
T vs C
530
157
236
113
P vs C
50
17
14
7
T and P vs C
108
21
35
17
Although there were no pathological changes in the tissue slices, 143 genes were found. More interesting, six genes of pericancerous epithelium were up-regulated compared to gastric cancer and three genes were down-regulated compared to gastric cancer. Their functions were related to the activity of a number of factors such as lipid transporter factor, electron transporter, receptor of signal protein, growth factor, ATP dependent RNA helicase (Table 3).
GO:5319; lipid transporter activity; inferred from electronic
207102-at
-2.4
-3.6
Aldo-keto reductase family 1, member D1 (delta 4-3-ketosteroid-5-beta-reductase)
GO:5489; electron transporter activity; experimental evidence
208580-x-at
-2.7
-3
H4 histone family, member E (H4FE)
Unknown
218730-s-at
-2.5
-3.3
Osteoglycin (osteoinductive factor, mimecan)
GO:8083; growth factor activity; inferred from electronic annotation
T and P were compared with C. The gene molecular function of a simultaneous expression difference belonged to nucleic acid binding activity (including RNA, DNA), protein binding activity (calcium, growth factor, cellular skeleton), enzyme activity. The functions of 34 genes were unknown (Table 4).
Table 4 Comparison between gene molecular functions of T, P and C.
Molecular function
Up-regulated (SLR> 2)
Down-regulated (SLR <-2)
Enzyme activity
15
4
Enzyme regular activity
4
0
Structural molecule activity
3
1
Transcription factor activity
3
0
Nucleic acid binding (RNA, DNA)
16
5
Protein binding activity (Ca , GF, cell skeleton)
14
7
Carbohydrate binding activity
3
0
Metal ion binding activity
1
0
Signal transduction activity (receptor, GF)
7
3
Sport activity
2
1
Transporter activity (electron, ion, protein)
7
6
Tumor antigen
2
0
Tumor suppressor
3
0
Apoptosis suppressor
1
0
Fibrinogen
0
1
Unknown
27
7
Total
108
35
Genes with a difference of more than eight times are listed in Tables 5 and 6.
Table 5 Comparison between molecular functions of 21 genes in T, P and C.
Probe Set ID
T vs C SLR
P vs C SLR
Name
GO molecular function
201655-s-at
3.1
2.6
Heparan sulfate
GO:5198; structural molecule activity; inferred from electronic annotation
GO:16491; oxidoreductase activity; inferred from electronic annotation
GO: 5489; electron transporter activity; traceable author statement
DISCUSSION
Gastric cancer is one of the most common malignant tumors in China. At present, its treatment has been greatly improved, but it still is one of the principal diseases to seriously hurt people’s health. To explore its etiology and to seek the ideal and early molecular markers, and to develop a new method of gene therapy are a new direction against cancers. Carcinogenesis is a series of molecular changes caused by abnormal expression of tumor-associated genes or inactivation of tumor suppression genes. The gene chip has been widely used to detect gene expression differences in various specimens by parallel analysis. The largest advantage of this technique is that it changes the traditional experiment where only a single or several gene expression differences could be observed in one procedure. Therefore, more and more cDNA microarrays have been applied to the study of gene expression. For example, gene chip was used to study the relationship between Helicobacter pylori and gastric malignancy[2-6], to research the multidrug-resistance to chemotherapy[7-9], to establish carcinogensis models of gastric carcinoma[10], to find gastric cancer and its metastasis associated genes[11-14], to analyse gastric carcinoma and its prognosis and to compare gastric carcinoma with its normal gastric mucosa[15-29].
We used the oligonucleotide of gene chip technique to analyze the gene expression profile difference in gastric cancer, pericancerous epithelium and normal mucosa. When gastric cancer was compared with normal gastric mucosa, a total of 766 genes were found with a difference of more than four times in expression levels. Of the 766 genes, 530 were up-regulated (SLR>2), and 236 were down-regulated (SLR>-2), suggesting that these genes are associated with the occurrence and development of gastric cancer. When pericancerous epithelium was compared with normal gastric mucosa, a total of 64 genes were found, with a difference of more than four times in expression levels. Of the 64 genes, 50 were up-regulated (SLR>2) and 14 were down-regulated (SLR>-2). Compared with normal gastric mucosa, a total of 143 genes with a difference in expression levels (more than four times, either in cancer or in pericancerous epithelium) were found in gastric cancer (T) and pericancerous epithelium (P). Of the 143 genes, 108 were up-regulated (SLR>2) and 35 were down-regulated (SLR>-2). Although an abnormal appearance of pericancerous epithelium was not found in pathological examination, but the 143 genes were shown to have differences in gene expression levels. A more interesting finding was that six genes of pericancerous epithelium were up-regulated compared to gastric cancer and three genes were down-regulated compared to gastric cancer. All but one gene’s function was unknown, the function of other genes was related to the transporter activity of lipid and electrons, transcription factor activity, growth factor activity and ATP dependent RNA helicase activity, suggesting that these genes are probably related to the promotion and progression of carcinogensis at the early stage of gastric cancer. To seek for the expression products of these genes would be very useful in early diagnosis of gastric cancer.
CEA is a soluble glycoprotein with a complex structure. Its molecular weight is about 200000, CEA presents in gastrointestinal tract, pancreas and liver at embryonic development stage, and would increase in gastrointestinal malignant tumors. In other tumors such as breast and lung cancer, it was increased in the serum. Therefore, CEA is a broad-spectrum tumor marker, although it does not act as a specific marker for some malignant tumors, but it still has an important clinical value in differential diagnosis. In the present study, we found that CEA associated cell adhesion molecule 5 (CAM-5) (SLR cancer was 4.6, pericancerous epithelium was 2.1) and CAM-6 (SLR cancer was 5.6, pericancerous epithelium was 2.1) were up-regulated. Sakakura[12] reported that CEA gene expression was up-regulated in metastatic gastric cancer. Oue reported that CEA CAM-6 gene expression was up-regulated in 50% patients with gastric cancer, suggesting that carcino-embryonic antigen associated genes are up-regulated to produce a soluble glycoprotein which could secrete into the blood, increasing the amount of CEA in serum. It could be a molecular mechanism of CEA appearance in serum of patients with gastric cancer. It is a useful tumor marker for gastric cancer.
Na+/K+-ATPase widely distributed on cell membranes is a key enzyme for keeping Na+, K+ ion gradients of cells. Such an enzyme not only attends the ion and protein translocation and keeps the ion self-balance of stabilization, but also has an important role in embryogenesis of vertebrate, neuronal recognition, development of central nervous system, cell morphogenesis, cell adhesion, etc. Lee[24] reported that Na+/K+-ATPase expression levels were up-regulated in intestinal type of gastric cancer. In our study, ATPase, Na+/K+ transporting, alpha 1 polypeptide were found (SLR cancer was 2.4, pericancerous was 1.4).
Alcohol dehydrogenase and aldehyde dehydrogenase are two key enzymes in ethanol metabolism and its metabolic products. Aldehyde dehydrogenase and its gene polymorphism (aldehyde dehydrogenase) are related to liver cancer, gastric cancer and esophageal cancer. Abe[10] reported that aldehyde dehydrogenase expression level was obviously down-regulated in tissues of gastric cancer. In the present study, we also found that alcohol dehydrogenase IB expression levels were obviously down-regulated (SLR cancer was-6.9, pericancerous was-1.4).
Serine protein kinase takes part in translocation and localization, as well as signal transfer of cells. Oien[20] reported that serine protein kinase expression levels were obviously up-regulated in human gastric cancer tissues. In the present study, we also found that serine protein kinase inhibitor expression level was obviously up-regulated (SLR cancer was 7.7, pericancerous was 4.2).
It has been demonstrated that the activity of topoisomerase II (Topo II) was rapidly increased in proliferating cells from S phase to G2/M phase, suggesting that this enzyme activity might be related to the malignant transformation of tumor cells. So Topo II expression levels (high or low) might be a parameters for cell proliferation. It also could be used as a marker for judging the sensitivity and tolerance of antitumor drugs. Varis et al[30], reported that Topo II expression level was obviously up-regulated in human gastric cancer tissues. Skotheim[31] reported that Topo II expression level was obviously up-regulated in malignant peripheral nerve sheath tumors. In our study the Topo II expression was also up-regulated in gastric cancer and pericancerous epithelium (SLR cancer was 2.3, pericancerous was 1.4). It might be related to a degree of malignancy and resistance. In the present study, we found that the cell cycle protein M4 (SLR cancer was 4.5, pericancerous was 3.7) was highly expressed. It might indicate that tumor cells had a high proliferation ratio.
In our study, the expression of E-cadherin (SLR cancer was 2.3, pericancerous was 1.8) and integrin β 4 (SLR cancer was 2.7, pericancerous was 2.0) was significantly increased in gastric cancer as reported by Mori et al[16], Hippo et al[25] and Oue et al[34].
Cell skeleton tissues and formation of external matrix of cells play an important role in the invasion of tumors. In the present study we found a number of genes were involved in cell skeleton and matrix such as keratin protein 19 (SLR cancer was 2.5, pericancerous was 1.6), microtubule protein β 4 (SLR cancer was 2.4, pericancerous was 1.4), microtubule protein β 2 (SLR cancer was 2.1, pericancerous was 1.4), reticuloprotein 1, and interzonal fiber binding protein 500 ku (SLR cancer was 2.1, pericancerous was 1.8). Bae et al[32] reported that cell skeleton protein was up-regulated in gastric cancer. Inhibitor 3 of proteins belongs to external matrix of cells (SLR cancer was 2.3, pericancerous was 1.7). Wang et al[33] reported that external matrix of gastric cancer cells was up-regulated. We found that 4/5 patients had a lymph-node metastasis, and related metastatic genes had a higher expression, further suggesting that the overexpression of cell skeleton tissues and external matrix is associated with tumor invasion and metastasis.
The application of gene chip technique is a revolution in life science. This kind of study models will produce a great effect on researches in life science. Gene chip might provide a new direction for diagnosis, therapy and prevention of human gastric carcinoma.
Ludwig A, Dietel M, Lage H. Identification of differentially expressed genes in classical and atypical multidrug-resistant gastric carcinoma cells.Anticancer Res. 2002;22:3213-3221.
[PubMed] [DOI][Cited in This Article: ]
Abe M, Yamashita S, Kuramoto T, Hirayama Y, Tsukamoto T, Ohta T, Tatematsu M, Ohki M, Takato T, Sugimura T. Global expression analysis of N-methyl-N'-nitro-N-nitrosoguanidine-induced rat stomach carcinomas using oligonucleotide microarrays.Carcinogenesis. 2003;24:861-867.
[PubMed] [DOI][Cited in This Article: ][Cited by in Crossref: 32][Cited by in F6Publishing: 34][Article Influence: 1.6][Reference Citation Analysis (0)]
Sakakura C, Simomura K, Shuichi K, Nakase Y, Fukuda K, Takagi T, Hagiwara A, Ichikawa Y, Nishizuka I, Ishikawa T. Screening of novel biomarkers for the detection of intraperitoneally disseminated cancer cells using human cDNA microarray.Gan To Kagaku Ryoho. 2002;29:2271-2274.
[PubMed] [DOI][Cited in This Article: ]
Wang JH, Chen SS. Screening and identification of gastric adenocarcinoma metastasis-related genes by using cDNA microarray coupled to FDD-PCR.ShengWu HuaXue Yu ShengWu WuLi XueBao (Shanghai). 2002;34:475-481.
[PubMed] [DOI][Cited in This Article: ]
Hippo Y, Yashiro M, Ishii M, Taniguchi H, Tsutsumi S, Hirakawa K, Kodama T, Aburatani H. Differential gene expression profiles of scirrhous gastric cancer cells with high metastatic potential to peritoneum or lymph nodes.Cancer Res. 2001;61:889-895.
[PubMed] [DOI][Cited in This Article: ]
Hasegawa S, Furukawa Y, Li M, Satoh S, Kato T, Watanabe T, Katagiri T, Tsunoda T, Yamaoka Y, Nakamura Y. Genome-wide analysis of gene expression in intestinal-type gastric cancers using a complementary DNA microarray representing 23,040 genes.Cancer Res. 2002;62:7012-7017.
[PubMed] [DOI][Cited in This Article: ]
Inoue H, Matsuyama A, Mimori K, Ueo H, Mori M. Prognostic score of gastric cancer determined by cDNA microarray.Clin Cancer Res. 2002;8:3475-3479.
[PubMed] [DOI][Cited in This Article: ]
Boussioutas A, Li H, Liu J, Waring P, Lade S, Holloway AJ, Taupin D, Gorringe K, Haviv I, Desmond PV. Distinctive patterns of gene expression in premalignant gastric mucosa and gastric cancer.Cancer Res. 2003;63:2569-2577.
[PubMed] [DOI][Cited in This Article: ]
Hippo Y, Taniguchi H, Tsutsumi S, Machida N, Chong JM, Fukayama M, Kodama T, Aburatani H. Global gene expression analysis of gastric cancer by oligonucleotide microarrays.Cancer Res. 2002;62:233-240.
[PubMed] [DOI][Cited in This Article: ]
Kim B, Bang S, Lee S, Kim S, Jung Y, Lee C, Choi K, Lee SG, Lee K, Lee Y. Expression profiling and subtype-specific expression of stomach cancer.Cancer Res. 2003;63:8248-8255.
[PubMed] [DOI][Cited in This Article: ]
Tay ST, Leong SH, Yu K, Aggarwal A, Tan SY, Lee CH, Wong K, Visvanathan J, Lim D, Wong WK. A combined comparative genomic hybridization and expression microarray analysis of gastric cancer reveals novel molecular subtypes.Cancer Res. 2003;63:3309-3316.
[PubMed] [DOI][Cited in This Article: ]
Varis A, Wolf M, Monni O, Vakkari ML, Kokkola A, Moskaluk C, Frierson H, Powell SM, Knuutila S, Kallioniemi A. Targets of gene amplification and overexpression at 17q in gastric cancer.Cancer Res. 2002;62:2625-2629.
[PubMed] [DOI][Cited in This Article: ]
Skotheim RI, Kallioniemi A, Bjerkhagen B, Mertens F, Brekke HR, Monni O, Mousses S, Mandahl N, Soeter G, Nesland JM. Topoisomerase-II alpha is upregulated in malignant peripheral nerve sheath tumors and associated with clinical outcome.J Clin Oncol. 2003;21:4586-4591.
[PubMed] [DOI][Cited in This Article: ][Cited by in Crossref: 51][Cited by in F6Publishing: 53][Article Influence: 2.7][Reference Citation Analysis (0)]
Wang YM, Xu SM, Huang QH. Analysis of human gastric cancer associated genes expression by gene chip.J Tongji Univ. 2003;24:932-934.
[PubMed] [DOI][Cited in This Article: ]
Oue N, Hamai Y, Mitani Y, Matsumura S, Oshimo Y, Aung PP, Kuraoka K, Nakayama H, Yasui W. Gene expression profile of gastric carcinoma: identification of genes and tags potentially involved in invasion, metastasis, and carcinogenesis by serial analysis of gene expression.Cancer Res. 2004;64:2397-2405.
[PubMed] [DOI][Cited in This Article: ][Cited by in Crossref: 207][Cited by in F6Publishing: 224][Article Influence: 11.2][Reference Citation Analysis (0)]
