Biomedical subjects

Samuel So

Publications and source records attributed to Samuel So.

18 recordsLinked to original sources

PubMed2006

Overexpression of NDRG1 is an indicator of poor prognosis in hepatocellular carcinoma.

Hepatocellular carcinoma is a highly lethal cancer that typically has poor prognosis. Prognostic markers can help in its clinical management and in understanding the biology of poor prognosis. Through an earlier gene expression study, we identified N-Myc downregulated gene 1 (NDRG1) to be significantly highly expressed in hepatocellular carcinoma compared to nontumor liver. As NDRG1 is a differentiation-related gene with putative metastasis suppressor activity, we investigated the clinical significance of its overexpression. Quantitative real-time polymerase chain reaction using an independent set of patient samples confirmed the significant overexpression of NDRG1 in hepatocellular carcinoma compared to nontumor liver samples (P<0.001). Additionally, high levels of NDRG1 transcript correlated with shorter overall survival (P<0.001), late tumor stage (P=0.001), vascular invasion (P=0.003), large tumor size (P=0.011), and high Edmondson-Steiner histological grade (P=0.005). Using immunohistochemistry, NDRG1 protein was found to be significantly overexpressed in hepatocellular carcinoma samples compared to nontumor liver or cirrhotic and benign liver lesions (P<0.001). Among the hepatocellular carcinoma samples, those which are moderately and poorly differentiated express higher levels of NDRG1 protein than those which are well-differentiated (P<0.005). Additionally, hepatocellular carcinomas with vascular invasion also express elevated levels of NDRG1 protein compared to those without vascular invasion (significant at P<0.005). Our results suggest NDRG1 to be a likely tumor marker for hepatocellular carcinoma, the overexpression of which is correlated with tumor differentiation, vascular invasion, and overall survival. Its significantly elevated expression in hepatocellular carcinoma could be a useful indicator of tumor aggressiveness and therefore patient prognosis.

Biomarkers, Tumor↗

PubMed2006

Topological and functional discovery in a gene coexpression meta-network of gastric cancer.

Gastric cancer is a leading cause of global cancer mortality, but comparatively little is known about the cellular pathways regulating different aspects of the gastric cancer phenotype. To achieve a better understanding of gastric cancer at the levels of systems topology, functional modules, and constituent genes, we assembled and systematically analyzed a consensus gene coexpression meta-network of gastric cancer incorporating >300 tissue samples from four independent patient populations (the "gastrome"). We find that the gastrome exhibits a hierarchical scale-free architecture, with an internal structure comprising multiple deeply embedded modules associated with diverse cellular functions. Individual modules display distinct subtopologies, with some (cellular proliferation) being integrated within the primary network, and others (ribosomal biosynthesis) being relatively isolated. One module associated with intestinal differentiation exhibited a remarkably high degree of autonomy, raising the possibility that its specific topological features may contribute towards the frequent occurrence of intestinal metaplasia in gastric cancer. At the single-gene level, we discovered a novel conserved interaction between the PLA2G2A prognostic marker and the EphB2 receptor, and used tissue microarrays to validate the PLA2G2A/EphB2 association. Finally, because EphB2 is a known target of the Wnt signaling pathway, we tested and provide evidence that the Wnt pathway may also similarly regulate PLA2G2A. Many of these findings were not discernible by studying the single patient populations in isolation. Thus, besides enhancing our knowledge of gastric cancer, our results show the broad utility of applying meta-analytic approaches to genome-wide data for the purposes of biological discovery.

Cluster Analysis↗

PubMed2006

Comprehensive analysis of 19q12 amplicon in human gastric cancers.

Amplification at 19q12 has been observed in multiple tumor types, while cyclin E1 (CCNE1) has been considered to be the key oncogene within this amplicon. We have previously applied cDNA microarray analysis to systematically characterize gene expression patterns of gastric tumor and nontumor samples. We identified a cluster of five tightly coregulated genes all located at chromosome 19q12, including CCNE1. We found that the 19q12 gene cluster is highly expressed in gastric tumors compared to nontumor gastric samples. Array based comparative genomic hybridization and real-time PCR was used to define the boundary of the 19q12 amplicon to a region of approximately 200 kb. Interestingly, we found that in some cases amplification at 19q12 was not associated with DNA copy number gain at CCNE1, suggesting that some other genes within the 19q12 amplicon may also have important function during gastric tumorigenesis. We found high expression of the 19q12 gene cluster to be statistically correlated with the cell proliferation gene signature. Using the SAM software, we identified a set of 577 genes whose expression levels positively correlated with the 19q12 gene cluster. GO term analysis revealed that this genelist is enriched with genes involved in cell cycle regulation and cell proliferation. In conclusion, expression array analysis combined with array comparative genomic hybridization and real-time PCR provides a new and powerful tool to identify clusters of genes which may be regulated by genomic DNA aberrations. In addition, our study indicates that amplification at 19q12 is associated with cell proliferation in vivo.

Adenocarcinoma↗

PubMed2005

Array-based comparative genomic hybridization reveals recurrent chromosomal aberrations and Jab1 as a potential target for 8q gain in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is one of the major malignancies worldwide. We have previously characterized global gene expression patterns in HCC using microarrays. Here, we report the analysis of genomic DNA copy number among 49 HCC samples using BAC array-based comparative genomic hybridization (CGH). We observed recurrent and characteristic chromosomal aberrations, including frequent DNA copy number gains of 1q, 6p, 8q and 20q, and losses of 4q, 8p, 13q, 16q and 17p. We correlated gene expression with array CGH data, and identified a set of genes whose expression levels correlated with common chromosomal aberrations in HCC. Especially, we noticed that high expression of Jab1 in HCC significantly correlated with DNA copy number gain at 8q. Quantitative microsatellite analysis further confirmed DNA copy number gain at the Jab1 locus. Overexpression of Jab1 in HCC was also validated using real-time RT-PCR, and Jab1 protein levels were studied by immunohistochemistry on tissue microarrays. Functional analysis in HCC cell lines demonstrated that Jab1 may regulate HCC cell proliferation, thereby having a potential role in HCC development. In conclusion, this study shows that array-based CGH provides high resolution mapping of chromosomal aberrations in HCC, and demonstrates the feasibility of correlating array CGH data with gene expression data to identify novel oncogenes and tumor suppressor genes.

COP9 Signalosome Complex↗

PubMed2005

An integrated data analysis approach to characterize genes highly expressed in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is one of the major causes of cancer deaths worldwide. New diagnostic and therapeutic options are needed for more effective and early detection and treatment of this malignancy. We identified 703 genes that are highly expressed in HCC using DNA microarrays, and further characterized them in order to uncover novel tumor markers, oncogenes, and therapeutic targets for HCC. Using Gene Ontology annotations, genes with functions related to cell proliferation and cell cycle, chromatin, repair, and transcription were found to be significantly enriched in this list of highly expressed genes. We also identified a set of genes that encode secreted (e.g. GPC3, LCN2, and DKK1) or membrane-bound proteins (e.g. GPC3, IGSF1, and PSK-1), which may be attractive candidates for the diagnosis of HCC. A significant enrichment of genes highly expressed in HCC was found on chromosomes 1q, 6p, 8q, and 20q, and we also identified chromosomal clusters of genes highly expressed in HCC. The microarray analyses were validated by RT-PCR and PCR. This approach of integrating other biological information with gene expression in the analysis helps select aberrantly expressed genes in HCC that may be further studied for their diagnostic or therapeutic utility.

Biomarkers, Tumor↗

PubMed2005

Mutations of PIK3CA in gastric adenocarcinoma.

BACKGROUND: Activation of the phosphatidylinositol 3-kinase (PI3K) through mutational inactivation of PTEN tumour suppressor gene is common in diverse cancer types, but rarely reported in gastric cancer. Recently, mutations in PIK3CA, which encodes the p110alpha catalytic subunit of PI3K, have been identified in various human cancers, including 3 of 12 gastric cancers. Eighty percent of these reported mutations clustered within 2 regions involving the helical and kinase domains. In vitro study on one of the "hot-spot" mutants has demonstrated it as an activating mutation. METHODS: Based on these data, we initiated PIK3CA mutation screening in 94 human gastric cancers by direct sequencing of the gene regions in which 80% of all the known PIK3CA mutations were found. We also examined PIK3CA expression level by extracting data from the previous large-scale gene expression profiling study. Using Significance Analysis of Microarrays (SAM), we further searched for genes that show correlating expression with PIK3CA. RESULTS: We have identified PIK3CA mutations in 4 cases (4.3%), all involving the previously reported hotspots. Among these 4 cases, 3 tumours demonstrated microsatellite instability and 2 tumours harboured concurrent KRAS mutation. Data extracted from microarray studies showed an increased expression of PIK3CA in gastric cancers when compared with the non-neoplastic gastric mucosae (p < 0.001). SAM further identified 2910 genes whose expression levels were positively associated with that of PIK3CA. CONCLUSION: Our data suggested that activation of the PI3K signalling pathway in gastric cancer may be achieved through up-regulation or mutation of PIK3CA, in which the latter may be a consequence of mismatch repair deficiency.

Adenocarcinoma↗

PubMed2005

Claudin-10 expression level is associated with recurrence of primary hepatocellular carcinoma.

PURPOSE: Hepatocellular carcinoma (HCC) patients with the same clinicopathologic features can have remarkably different disease outcomes after curative hepatectomy. To address this issue, we evaluated the cDNA microarray gene expression profiles of HCCs and identified claudin-10 expression level was associated with disease recurrence. The aim of the current study is to validate the microarray data by an alternative research method applicable for routine practice. EXPERIMENTAL DESIGN: Quantitative reverse transcription-PCR (RT-PCR) was used to validate the microarray data on claudin-10 expression level. The assay was repeated on a separate HCC sample set to consolidate the prognostic significance of claudin-10. RESULTS: Claudin-10 expression level by quantitative RT-PCR and by microarray measurement showed a high concordance (r = 0.602, P < 0.001). Quantitative RT-PCR was repeated on a separate HCC sample set and the association of claudin-10 expression with recurrence was again confirmed (hazard ratio, 1.2; 95% confidence interval, 1.0-1.4; P = 0.011). By multivariable Cox regression analysis, claudin-10 expression and pathologic tumor-node-metastasis stage were independent factors for prediction of disease recurrence. CONCLUSION: Claudin-10 expression of HCC can be used as a molecular marker for disease recurrence after curative hepatectomy.

Carcinoma, Hepatocellular↗

PubMed2005

Transcript AA454543 is a novel prognostic marker for hepatocellular carcinoma after curative partial hepatectomy.

BACKGROUND: We have previously reported on the cDNA microarray gene expression profiles of hepatocellular carcinomas (HCCs). Among the genes that show prognostic significance and are overexpressed in tumor compared with adjacent nontumorous liver, transcript AA454543 may have potential for practical use. Our aim is to validate the prognostic significance of transcript AA454543 by alternative research methods and in a separate group of HCC patients. METHODS AND RESULTS: The data of transcript AA454543 derived from microarray analysis of 48 patients having curative partial hepatectomy (group 1) were verified by quantitative reverse transcription polymerase chain reaction (r = 0.618, P < .001). A separate sample set of HCCs obtained from 53 patients (group 2) was examined and the association of AA454543 expression level with overall survival was again validated (P = .027). By Cox regression analysis, transcript AA454543 [hazard ratio (HR) = 3.0, P = .017] and pathologic tumor node metastasis (pTNM) stage (HR = 3.3, P = .010) were independent prognostic factors for overall survival. The accuracy of prediction for 3-year overall survival for transcript AA454543 (74.2%, P = .001) and pTNM stage (76.4%, P = .001) was comparable as measured by the area under the receiver operating characteristic curve. CONCLUSION: Transcript AA454543 is potentially useful molecular prognostic marker for overall survival after curative partial hepatectomy for HCC.

Adolescent↗

PubMed2004

Granulin-epithelin precursor overexpression promotes growth and invasion of hepatocellular carcinoma.

PURPOSE: Granulin-epithelin precursor (GEP) is a novel growth factor. Our earlier cDNA microarray study indicated that GEP was overexpressed in hepatocellular carcinoma (HCC). The aim of this study was to investigate the clinical significance of GEP expression and its potential as a therapeutic target in HCC. EXPERIMENTAL DESIGN: A total of 110 pairs of HCCs and adjacent nontumor liver tissues, and 22 normal liver tissues were examined. The GEP RNA level was examined by quantitative reverse transcription-PCR, and protein localization by immunohistochemistry. The GEP function was examined by transfection experiments. RESULTS: The RNA levels of the HCCs were significantly higher than those of the nontumor liver tissues and normal livers (P <0.001). GEP protein staining was observed in tumor cytoplasm, and the GEP protein levels of the HCCs were also significantly higher than those of the nontumor liver tissues and normal livers (P <0.001). The majority of HCCs demonstrated up-regulation of GEP protein compared with their adjacent liver tissues [79 (71.8%) of 110]. Positive correlation of GEP RNA with protein levels was observed in HCCs (P <0.01). Strong GEP expression was associated with large HCCs, venous infiltration, and early intrahepatic recurrence (P <0.05). Functional studies on the HCC cell line Hep3B demonstrated that reduction of GEP protein levels resulted in decreased cell proliferation rates, tumor invasion ability, anchorage-independent growth in soft agar, and tumorigenicity in nude mice (P <0.05). CONCLUSION: GEP is an important factor for HCC growth, invasion, and metastasis. GEP has the potential to serve as a tumor marker and therapeutic target.

Animals↗

PubMed2004

Novel endothelial cell markers in hepatocellular carcinoma.

Hepatocellular carcinoma is characterized by hypervascularity and a propensity for vascular invasion. Detailed analysis of complementary DNA (cDNA) microarray global gene expression data and further validation on a smaller independent sample set by reverse transcription-polymerase chain reaction established the presence of two endothelial gene clusters in hepatocellular carcinoma. Cluster I, consists of 20 cDNA clones, representing 15 unique genes. Cluster II consists of nine unique genes. The expression of the cluster I genes appeared to be significantly upregulated in hepatocellular carcinoma compared with normal liver, cirrhotic liver, or nontumor liver tissues adjacent to the hepatocellular carcinoma. The pattern of gene expression of cluster I genes correlated positively with the 'proliferation gene cluster' and 'stromal cells cluster 2'. Expression of cluster II genes, in contrast, was not significantly different between hepatocellular carcinoma and non-neoplastic liver tissues. Studies conducted to localize the protein products of these genes by immunohistochemical staining of tissue arrays with up to 350 cores of tissues, and by in situ hybridization led to the discovery of novel sinusoidal endothelial cell markers in hepatocellular carcinoma: podocalyxin-like and regulator of G protein signaling-5. Our results underscore fundamental differences not only between neoplastic vs non-neoplastic liver cells but also between the hepatic sinusoidal endothelium of hepatocellular carcinoma and normal liver.

Antigens, CD34↗

PubMed2004

Expression profiling identifies chemokine (C-C motif) ligand 18 as an independent prognostic indicator in gastric cancer.

BACKGROUND & AIMS: Gastric cancer is one of the major cancers worldwide. Expression profiling has proven useful in delineating novel prognostic markers in various cancer types. We previously analyzed gene-expression patterns in 90 gastric adenocarcinomas by using complementary DNA microarrays and prioritized a list of genes whose expression levels predict patient outcome. METHODS: We identified a specific gene of interest, chemokine (C-C motif) ligand 18 (CCL18), on the basis of a high absolute standardized log Cox hazard ratio, a high variance in expression among all tumor samples, and putative biologic function. Detailed analysis of CCL18 expression with clinicopathologic and survival data was performed (n = 89). Quantitative reverse-transcription polymerase chain reaction was used to verify the microarray expression data and was further applied to analyze an independent cohort of tumor samples (n = 59). The cellular source of CCL18 was determined with immunohistochemistry and in situ hybridization. RESULTS: High CCL18 expression levels were associated with prolonged overall (P = 0.001; hazard ratio, 0.586) and disease-free (P = 0.002; hazard ratio, 0.416) patient survival in the array-based data set by univariate analysis. The observations were confirmed in an independent set of 59 patients by using quantitative reverse-transcription polymerase chain reaction. In multivariate analysis, tumor stage and CCL18 levels were independent prognostic factors for predicting both overall and disease-free survival. We found that CCL18 was expressed by a subpopulation of tumor-associated macrophages that were preferentially located at the tumor invasion front. CONCLUSIONS: Macrophage-derived CCL18 may function as a local antitumor immunomodulator that affects patient outcome. Our study suggests CCL18 as a novel candidate for antitumor therapeutics and risk stratification in gastric cancer patients.

Adenocarcinoma↗

PubMed2003

Downregulation of ID4 by promoter hypermethylation in gastric adenocarcinoma.

Promoter hypermethylation has become apparent as a common mechanism of gene silencing in cancer. Based on our published microarray expression data, we noticed a prominent downregulation of ID4 in gastric adenocarcinoma. The dense 5' CpG island covering the previously mapped upstream promoter of ID4 has prompted us to relate its downregulation to promoter hypermethylation. ID proteins are distinct members in the helix-loop-helix family of transcriptional regulators, which modulate various key developmental processes. Emerging data have suggested the involvement of ID genes in tumorigenesis. In this study using bisulfite genomic sequencing, we have found hypermethylation of ID4 promoter in most gastric cancer cell lines and 30% of primary tumors. This correlated with decreased level of ID4 expression. Restoration of ID4 expression in various gastric cancer cell lines was achieved by treatment with the DNA methyltransferase inhibitor 5-aza-2'-deoxycytidine, which at times required the synergistic action of the histone deacetylase inhibitor trichostatin A, but not with trichostatin A alone. Re-expression was accompanied by the corresponding ID4 promoter demethylation. Furthermore, we have found significant association of ID4 promoter methylation with hMLH1 promoter methylation (P=0.008) and microsatellite instability (P=0.006). Overall, our results have shown that transcriptional silencing of ID4 is related to the aberrant methylation of its promoter in gastric cancer. The significant association of ID4 and hMLH1 promoter hypermethylation suggested that ID4 may also be among the genes being targeted in the CpG island methylator phenotype tumorigenic pathway.

Adenocarcinoma↗

PubMed2003

Variation in gene expression patterns in human gastric cancers.

Gastric cancer is the world's second most common cause of cancer death. We analyzed gene expression patterns in 90 primary gastric cancers, 14 metastatic gastric cancers, and 22 nonneoplastic gastric tissues, using cDNA microarrays representing approximately 30,300 genes. Gastric cancers were distinguished from nonneoplastic gastric tissues by characteristic differences in their gene expression patterns. We found a diversity of gene expression patterns in gastric cancer, reflecting variation in intrinsic properties of tumor and normal cells and variation in the cellular composition of these complex tissues. We identified several genes whose expression levels were significantly correlated with patient survival. The variations in gene expression patterns among cancers in different patients suggest differences in pathogenetic pathways and potential therapeutic strategies.

Adenocarcinoma↗

PubMed2002

Phospholipase A2 group IIA expression in gastric adenocarcinoma is associated with prolonged survival and less frequent metastasis.

We analyzed gene expression patterns in human gastric cancers by using cDNA microarrays representing approximately equal 30,300 genes. Expression of PLA2G2A, a gene previously implicated as a modifier of the Apc(Min/+) (multiple intestinal neoplasia 1) mutant phenotype in the mouse, was significantly correlated with patient survival. We confirmed this observation in an independent set of patient samples by using quantitative RT-PCR. Beyond its potential diagnostic and prognostic significance, this result suggests the intriguing possibility that the activity of PLA2G2A may suppress progression or metastasis of human gastric cancer.

Adenocarcinoma↗

PubMed2002

Comprehensive analysis of the gene expression profiles in human gastric cancer cell lines.

Gastric adenocarcinoma is one of the major malignancies worldwide. Gastric cell lines have been widely used as the model to study the genetics, pharmacology and biochemistry of gastric cancers. Here we describe a comprehensive survey of the gene expression profiles of 12 gastric carcinoma cell lines, using cDNA microarray with 43 000 clones. For comparison, we also explored the gene expression patterns of 15 cell lines derived from lymphoid, endothelial, stromal and other epithelial cancers. Expression levels of specific genes were validated through comparison to protein expression by immunohistochemistry using cell block arrays. We found sets of genes whose expression corresponds to the molecular signature of each cell type. In the gastric cancer cell lines, apart from genes that are highly expressed corresponding to their common epithelial origin from the gastrointestinal tract, we found marked heterogeneity among the gene expression patterns of these cell lines. Some of the heterogeneity may reflect their underlying molecular characteristics or specific differentiation program. Two putative gastric carcinoma cell lines were found to be B-cell lymphoma, and another one had no epithelial specific gene expression and hence was of doubtful epithelial origin. These cell lines should no longer be used in gastric carcinoma research. In conclusion, our gene expression database can serve as a powerful resource for the study of gastric cancer using these cell lines.

Cell Lineage↗

PubMed2002

Identify metastasis-associated genes in hepatocellular carcinoma through clonality delineation for multinodular tumor.

Disease recurrence and metastasis are frequently observed in many successfullytreated localized cancers, including hepatocellular carcinoma in which intrahepatic and extrahepatic recurrence (metastasis) are frequently observed after curative resection. The present study aimed at identifying metastasis-associated genes through delineation of the clonality for multinodular liver cancer. The clonal relationship of 22 tumor foci from six patients was investigated by the genome-wide expression profile via cDNA microarray consisting of 23,000 genes. Tumor molecular properties including p53 protein overexpression and gene mutation, hepatitis B virus integration pattern, and genetic alteration examined by comparative genomic hybridization were compared. Results indicated that gene expression patterns could serve as the molecular fingerprint for clonality identification. Together with the molecular data from p53, hepatitis B virus integration and comparative genomic hybridization profiles, tumor nodules from five patients were confirmed with clonal relationship, and the expression profiles of the primary nodules were compared with their corresponding intrahepatic metastatic nodules. A total of 90 clones were found to be correlated with intrahepatic metastasis by Student's t test (P < 0.05). With reference to the primary tumor, 63 clones (39 known genes and 24 express sequence tags) were down-regulated whereas 27 clones (14 known genes and 13 express sequence tags) were up-regulated in the metastatic nodules. These metastasis-associated genes may provide clues to reveal patients with increased risk of developing metastasis, and to identify novel therapeutic targets for the treatment of metastasis.

Adolescent↗

PubMed2002

[Detection of Mycoplasma hyorhinis in gastric cancer using bio-chip technology].

OBJECTIVE: To determine the prevalence of Mycoplasma hyorhinis in archived paraffin-embedded gastric cancer tissue and to find whether Mycoplasma hyorhinis infection can influence gene expression level in gastric cancer cells. METHODS: A high-dense tissue microarray containing 105 gastric cancer samples, 101 benign margin samples and 62 non-cancerous gastric disease samples resected during operation was constructed. PD4, a specific anti-Mycoplasma-hyorhinis Mab, was used to detect the infection rate in all the samples in the tissue microarrays immunohistochemically. Then, cDNA microarray was used to pinpoint differentially the expressed genes between gastric cancer cell line MGC803 samples with and without Mycoplasma hyorhinis infection. RESULTS: The infection rate of M. hyorhinis was 54.1% 53/98 in gastric cancer samples, 51.7% 45/87 in benign margin samples, and 15.8 % 9/57 in non-cancerous disease samples respectively. The difference of infection rates between gastric cancer and non-cancerous gastric disease was statistically significant (P = 0.001). Highly differentiated adenocarcinomas had more opportunity (84.6%) to be infected with M. hyorhinis than poorly differentiated ones (45.9%)(P < 0.05). Intestinal type of gastric cancers (according to Lauren's classification) got the infection more often than diffused type. About 409 gene expression alterations were detected in 48 000 sites from two gastric cancer cell lines and the expression levels of some genes correlating with cell apoptosis and cell adhesion were down regulated after Mycoplasma hyorhinis infection. CONCLUSION: The infection rate of M. hyorhinis is significantly higher in gastric cancer than in other gastric diseases, thus indicating the association between Mycoplasma infection and gastric cancer. Mycoplasma hyorhinis infection influences the gene expression level in gastric cancer cell line MGC803, which indicates that the infection could have something to do with the process of gastric cancer. The question whether M.hyorhinis has oncogenic potential remains to be elucidated.

Adult↗

PubMed2002

Gene expression patterns in human liver cancers.

Hepatocellular carcinoma (HCC) is a leading cause of death worldwide. Using cDNA microarrays to characterize patterns of gene expression in HCC, we found consistent differences between the expression patterns in HCC compared with those seen in nontumor liver tissues. The expression patterns in HCC were also readily distinguished from those associated with tumors metastatic to liver. The global gene expression patterns intrinsic to each tumor were sufficiently distinctive that multiple tumor nodules from the same patient could usually be recognized and distinguished from all the others in the large sample set on the basis of their gene expression patterns alone. The distinctive gene expression patterns are characteristic of the tumors and not the patient; the expression programs seen in clonally independent tumor nodules in the same patient were no more similar than those in tumors from different patients. Moreover, clonally related tumor masses that showed distinct expression profiles were also distinguished by genotypic differences. Some features of the gene expression patterns were associated with specific phenotypic and genotypic characteristics of the tumors, including growth rate, vascular invasion, and p53 overexpression.

Carcinoma, Hepatocellular↗