AIM： To identify the genes related to lymph node metastasis in human hepatocellular carcinoma （HCC）, 32 HCC patients with or without lymph node metastasis were investigated by high-throughput microarray comprising ...AIM： To identify the genes related to lymph node metastasis in human hepatocellular carcinoma （HCC）, 32 HCC patients with or without lymph node metastasis were investigated by high-throughput microarray comprising 886 genes. METHODS： The samples of cancerous and noncancerous paired tissue were taken from 32 patients with HCC who underwent hepatectomy with lymph node dissection. Total RNA was extracted from the cells obtained by means of laser microdissection （LCM） and was amplified by the T7-based amplification system. Then, the amplified samples were applied in the cDNA microarray comprising of 886 genes. RESULTS： The results demonstrated that 25 upregulated genes such as cell membrane receptor, intraceliular signaling and cell adhesion related genes, and 48 down-regulated genes such as intracellular signaling and cell cycle regulator-related genes, were correlated with lymph node metastasis in HCC. Amongst them were included some interesting genes, such as MET, EPHA2, CCND1, MMP2, MMP13, CASP3, CDH1, and PTPN2. Expression of 16 genes （MET, CCND1, CCIVD2, VEGF, KRT18, RFC4, BIRC5, CDC6, MMP2, BCL2A1, CDH1, VIM, PDGFRA, PTPN2, SLC25A5 and DSP） were further confirmed by real-time quantitative reverse transcriptional polymerase chain reaction （RT-PCR）. CONCLUSION： Tumor metastasis is an important biological characteristic, which involves multiple genetic changes and cumulation. This genome-wide information contributes to an improved understanding of molecular alterations during lymph node metastasis in HCC. It may help clinicians to predict metastasis of lymph nodes and assist researchers in identifying novel therapeutic targets for metastatic HCC patients.展开更多
AIM： To identify biomarkers indicating virus-specific hepatocarcinogenic process, differential mRNA expression in 32 patients with hepatitis B virus （HBV）-/hepatitis C virus （HCV）-associated hepatocellular carcin...AIM： To identify biomarkers indicating virus-specific hepatocarcinogenic process, differential mRNA expression in 32 patients with hepatitis B virus （HBV）-/hepatitis C virus （HCV）-associated hepatocellular carcinoma （HCC） were investigated by means of cDNA microarrays comprising of 886 genes. METHODS： Thirty two HCC patients were divided into two groups based on viral markers： hepatitis B virus positive and HCV positive. The expression profiles of 32 pairs of specimens （tumorous and surrounding nontumorous liver tissues）, consisting of 886 genes were analyzed. RESULTS： Seven up-regulated genes in HBV-associated HCC comprised genes involved in protein synthesis （RPSS）, cytoskeletal organization （KRTS）, apoptosis related genes （CFLAR）, transport （ATPSF1）, cell membrane receptor related genes （IGFBP2）, signal transduction or transcription related genes （MAP3KS）, and metastasis-related genes （MMP9）. The up-regulated genes in HCV-infected group included 4 genes： V/M （cell structure）, ACTB （cell structure）, GAPD （glycolysis） and CD58 （cell adhesion）. The expression patterns of the 11 genes, identified by cDNA microarray, were confirmed by quantitative RT-PCR in 32 specimens.CONCLUSION： The patterns of all identified genes were classified based on the viral factor involved in HBV- and HCV-associated HCC. Our results strongly suggest that the pattern of gene expression in HCC is closely associated with the etiologic factor. The present study indicates that HBV and HCV cause hepatocarcinogenesis by different mechanisms, and provide novel tools for the diagnosis and treatment of HBV- and HCV-associated HCC.展开更多
In this paper, we propose a knowledge discovery method based on the fuzzy set theory to help elders with plant cultivation. Initially, the fuzzy sets are constructed by using the feature selection and statistical inte...In this paper, we propose a knowledge discovery method based on the fuzzy set theory to help elders with plant cultivation. Initially, the fuzzy sets are constructed by using the feature selection and statistical interval estimation. The min-max inference and the center of gravity defuzzification method are then used to output a candidate pattern set. Finally, a pattern discovery is adopted to obtain the patterns from the candidate set for the cultivation suggestions by considering the frequency weight and user＇s experience. In order to demonstrate the performance of our method in planting systems, we conduct a clicks-and-mortar cultivation platform, namely Eden Garden, for the elderly lifestyles of health and sustainability（LOHAS）. The experimental results show that the accuracy rate of our knowledge discovery method can reach up to 85%. Moreover, the results of the LOHAS index scale table present that the happiness of the elders is increasing while the elders are using our proposed method.展开更多
文摘AIM： To identify the genes related to lymph node metastasis in human hepatocellular carcinoma （HCC）, 32 HCC patients with or without lymph node metastasis were investigated by high-throughput microarray comprising 886 genes. METHODS： The samples of cancerous and noncancerous paired tissue were taken from 32 patients with HCC who underwent hepatectomy with lymph node dissection. Total RNA was extracted from the cells obtained by means of laser microdissection （LCM） and was amplified by the T7-based amplification system. Then, the amplified samples were applied in the cDNA microarray comprising of 886 genes. RESULTS： The results demonstrated that 25 upregulated genes such as cell membrane receptor, intraceliular signaling and cell adhesion related genes, and 48 down-regulated genes such as intracellular signaling and cell cycle regulator-related genes, were correlated with lymph node metastasis in HCC. Amongst them were included some interesting genes, such as MET, EPHA2, CCND1, MMP2, MMP13, CASP3, CDH1, and PTPN2. Expression of 16 genes （MET, CCND1, CCIVD2, VEGF, KRT18, RFC4, BIRC5, CDC6, MMP2, BCL2A1, CDH1, VIM, PDGFRA, PTPN2, SLC25A5 and DSP） were further confirmed by real-time quantitative reverse transcriptional polymerase chain reaction （RT-PCR）. CONCLUSION： Tumor metastasis is an important biological characteristic, which involves multiple genetic changes and cumulation. This genome-wide information contributes to an improved understanding of molecular alterations during lymph node metastasis in HCC. It may help clinicians to predict metastasis of lymph nodes and assist researchers in identifying novel therapeutic targets for metastatic HCC patients.
文摘AIM： To identify biomarkers indicating virus-specific hepatocarcinogenic process, differential mRNA expression in 32 patients with hepatitis B virus （HBV）-/hepatitis C virus （HCV）-associated hepatocellular carcinoma （HCC） were investigated by means of cDNA microarrays comprising of 886 genes. METHODS： Thirty two HCC patients were divided into two groups based on viral markers： hepatitis B virus positive and HCV positive. The expression profiles of 32 pairs of specimens （tumorous and surrounding nontumorous liver tissues）, consisting of 886 genes were analyzed. RESULTS： Seven up-regulated genes in HBV-associated HCC comprised genes involved in protein synthesis （RPSS）, cytoskeletal organization （KRTS）, apoptosis related genes （CFLAR）, transport （ATPSF1）, cell membrane receptor related genes （IGFBP2）, signal transduction or transcription related genes （MAP3KS）, and metastasis-related genes （MMP9）. The up-regulated genes in HCV-infected group included 4 genes： V/M （cell structure）, ACTB （cell structure）, GAPD （glycolysis） and CD58 （cell adhesion）. The expression patterns of the 11 genes, identified by cDNA microarray, were confirmed by quantitative RT-PCR in 32 specimens.CONCLUSION： The patterns of all identified genes were classified based on the viral factor involved in HBV- and HCV-associated HCC. Our results strongly suggest that the pattern of gene expression in HCC is closely associated with the etiologic factor. The present study indicates that HBV and HCV cause hepatocarcinogenesis by different mechanisms, and provide novel tools for the diagnosis and treatment of HBV- and HCV-associated HCC.
基金supported by the NSC under Grant No.100-2221-E-006-251-MY3
文摘In this paper, we propose a knowledge discovery method based on the fuzzy set theory to help elders with plant cultivation. Initially, the fuzzy sets are constructed by using the feature selection and statistical interval estimation. The min-max inference and the center of gravity defuzzification method are then used to output a candidate pattern set. Finally, a pattern discovery is adopted to obtain the patterns from the candidate set for the cultivation suggestions by considering the frequency weight and user＇s experience. In order to demonstrate the performance of our method in planting systems, we conduct a clicks-and-mortar cultivation platform, namely Eden Garden, for the elderly lifestyles of health and sustainability（LOHAS）. The experimental results show that the accuracy rate of our knowledge discovery method can reach up to 85%. Moreover, the results of the LOHAS index scale table present that the happiness of the elders is increasing while the elders are using our proposed method.
