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Gene expression profile changes in initiation and progression of squamous cell carcinoma of esophagus.

Tumorigenesis is a complex process involving multiple genes. As a step toward understanding the complicated changes between normal and malignant cells, this report focused on gene expression profile variations among normal and abnormal esophageal epithelium tissues. The cDNA microarray approach was used to investigate gene expression profiles of 5 different stages during initiation and progression of esophageal cancer. According to pathological characteristics, these 5 stages were normal, dysplasia I (mild dysplasia), dysplasia II (moderate dysplasia), carcinoma in situ (CIS) and squamous cell carcinoma of esophagus (SCC). Comparing and analyzing those gene expression profiles, we observed that the expression levels of many genes changed in dysplasia I and some known tumor-related genes were over-expressed or under-expressed in all 4 abnormal stages. Using principle component analysis we identified a set of genes that may play an important role in tumor development. Hybridization data were confirmed by semi-quantitative reverse transcription-polymerase chain reaction and immunohistochemistry. These results suggest that cDNA microarray technology is a useful tool to discover genes frequently involved in esophageal neoplasia and provides novel clues to diagnosis, early detection and intervention of SCC.

Carcinoma in Situ↗

Microarray analysis of endometrial carcinomas and mixed mullerian tumors reveals distinct gene expression profiles associated with different histologic types of uterine cancer.

Previous studies using cDNA microarray have indicated that distinct gene expression profiles characterize endometrioid and papillary serous carcinomas of the endometrium. Molecular studies have observed that mixed mullerian tumors, characterized by both carcinomatous and sarcomatous components, share features that are characteristic of endometrial carcinomas. The objective of this analysis was to more precisely define gene expression patterns that distinguish endometrioid and papillary serous histologies of endometrial carcinoma and mixed mullerian tumors of the uterus. One hundred nineteen pathologically confirmed uterine cancer samples were studied (66 endometrioid, 24 papillary serous, and 29 mixed mullerian tumors). Gene expressions were analyzed using the Affymetrix Human Genome Arrays U133A and U133B Genechip set. Unsupervised analysis revealed distinct global gene expression patterns of endometrioid, papillary serous, mixed mullerian tumors, and normal tissues as grossly separated clusters. Two-sample t tests comparing endometrioid and papillary serous, endometrioid and mixed mullerian tumor, and papillary serous and mixed mullerian tumor pairs identified 1,055, 5,212, and 1,208 differentially expressed genes at P < 0.001, respectively. These data revealed that distinct patterns of gene expression characterize various histologic types of uterine cancer. Gene expression profiles for select genes were confirmed using quantitative PCR. An understanding of the molecular heterogeneity of various histologic types of endometrial cancer has the potential to lead to better individualization of treatment in the future.

Cluster Analysis↗

[The value of gene expression profiles using micoarrays for the individualisation of adjuvant therapy after surgery for breast cancer].

Gene-expression profiles are a promising development in determining the prognosis of patients with primary breast cancer. They accurately assess the risk on distant recurrence of disease and show if the patient might benefit from adjuvant therapy after surgery thus minimising the risk of distant metastases. Three clinically relevant profiles on prognosis have now been published, two of which come from the Netherlands, and whose results are an improvement on those using traditional clinical parameters i.e. the St. Gallen and the National Institutes of Health criteria. These gene-expression profiles mean that 25-40% of patients need no longer undergo adjuvant systemic therapy (chemotherapy and/or endocrine therapy). Although the risk-stratifying power of these profiles has been established, their power in predicting the response of the patients to adjuvant systemic therapy still awaits scientific proof.

Antineoplastic Agents↗

GOurmet: a tool for quantitative comparison and visualization of gene expression profiles based on gene ontology (GO) distributions.

BACKGROUND: The ever-expanding population of gene expression profiles (EPs) from specified cells and tissues under a variety of experimental conditions is an important but difficult resource for investigators to utilize effectively. Software tools have been recently developed to use the distribution of gene ontology (GO) terms associated with the genes in an EP to identify specific biological functions or processes that are over- or under-represented in that EP relative to other EPs. Additionally, it is possible to use the distribution of GO terms inherent to each EP to relate that EP as a whole to other EPs. Because GO term annotation is organized in a tree-like cascade of variable granularity, this approach allows the user to relate (e.g., by hierarchical clustering) EPs of varying length and from different platforms (e.g., GeneChip, SAGE, EST library). RESULTS: Here we present GOurmet, a software package that calculates the distribution of GO terms represented by the genes in an individual expression profile (EP), clusters multiple EPs based on these integrated GO term distributions, and provides users several tools to visualize and compare EPs. GOurmet is particularly useful in meta-analysis to examine EPs of specified cell types (e.g., tissue-specific stem cells) that are obtained through different experimental procedures. GOurmet also introduces a new tool, the Targetoid plot, which allows users to dynamically render the multi-dimensional relationships among individual elements in any clustering analysis. The Targetoid plotting tool allows users to select any element as the center of the plot, and the program will then represent all other elements in the cluster as a function of similarity to the selected central element. CONCLUSION: GOurmet is a user-friendly, GUI-based software package that greatly facilitates analysis of results generated by multiple EPs. The clustering analysis features a dynamic targetoid plot that is generalizable for use with any clustering application.

Artificial Intelligence↗

Gene expression profiling of human articular cartilage grafts generated by tissue engineering.

Cartilage tissue engineering is applied clinically to cover and regenerate articular cartilage defects. In this study autologous human cartilage tissue engineering grafts based on bioresorbable polyglactin/polydioxanone scaffolds were analyzed on the broad molecular level. RNA from freshly isolated, primary and expanded adult articular chondrocytes and from three-dimensional cartilage grafts were used for gene expression profiling using oligonucleotide microarrays. The capacity of cartilage grafts to form cartilage matrix was evaluated after subcutaneous transplantation into nude mice. Gene expression profiling showed reproducibly the regulation of 905 genes and documented that chondrocytes undergo fundamental changes during cartilage tissue engineering regarding chondrocyte metabolism, growth, and differentiation. Three-dimensional assembly of expanded, dedifferentiated chondrocytes initiated the re-differentiation of cells that was accompanied by the reversal of the expression profile of multiple players of the transforming growth factor (TGF) signaling pathway including growth and differentiation factor-5 and inhibitor of differentiation-1 as well as by the induction of typical cartilage-related matrix genes such as type II collagen and cartilage oligomeric matrix protein. Cartilage grafts formed a cartilaginous matrix after transplantation into nude mice. Three-dimensional tissue culture of expanded articular chondrocytes initiates chondrocyte re-differentiation in vitro and leads to the maturation of cartilage grafts towards hyaline cartilage in vivo.

Base Sequence↗

Gene expression profile of cultured adult compared to immortalized human RPE.

PURPOSE: ARPE19 is a spontaneously immortalized cell line of human retinal pigment epithelium (RPE) that is used widely to draw inferences about the behavior of adult human RPE (ahRPE). We used DNA microarray analysis to compare the gene expression profiles of these two cell types. METHODS: Second-passage cultured ahRPE from four human donors (age range 48-82 years) and ARPE19 cultured to confluence in five dishes were used for this DNA microarray study. Total RNA was isolated and first- and second-strand complimentary DNA was synthesized using standard techniques. Biotin-labeled antisense complimentary RNA was produced by an in vitro transcription reaction. Target hybridization, washing, staining, and scanning probe arrays were done following an Affymetrix GeneChip Expression Analysis Manual. Microarray data were normalized and statistical techniques were used to determine the presence or absence of expression of individual genes within ARPE19 and ahRPE, and their relative expression levels. RESULTS: Hierarchic clustering analysis demonstrated that the gene expression profile of ahRPE and ARPE19 samples cluster into two distinct groups with no discernable overlap. The expression of 5,634+/-65 gene probes (out of 12,600 on microarray Human U95Av2 chip) was detected in ARPE19 cells compared to 5,580+/-84 genes in ahRPE cells from four human donor eyes. Thirty-five genes are expressed exclusively in ahRPE and nine genes exclusively in ARPE19 cells. Fifty additional genes have a threefold increase and 40 genes have a threefold decrease in expression level in ahRPE compared to ARPE19. There was no clear difference in the global expression level of genes known to be related to phagocytosis, angiogenesis, or apoptosis. CONCLUSIONS: There are significant differences in the gene expression profile of ahRPE compared to ARPE19, and with some genes exclusively being expressed in one group and other genes being upregulated or downregulated by threefold. Caution should be exercised when generalizing results obtained from ARPE19 to the behavior of ahRPE.

Aged↗

Identification of serum proteins related to adverse effects induced by docetaxel infusion from protein expression profiles of serum using SELDI ProteinChip system.

BACKGROUND: For the development of quick and easy methods for screening and identifying treatment-responsive proteins, we determined the protein expression profile of the serum after docetaxel infusion using a surface-enhanced laser desorption/ionization time-of-flight mass spectroscopy (SELDI TOF-MS) system. MATERIALS AND METHODS: Blood from breast cancer patients was collected before and 4, 8, 24 and 48 hours after docetaxel infusion. The protein expression profile was determined by a SELDI TOF-MS system. The relative expression levels of target proteins were compared during the time-course after docetaxel injection. RESULTS: We identified two representative proteins with molecular weights of 7790 Da and 9285 Da. The 7790 Da protein was high molecular weight kininogen, and the 9285 Da protein was apolipoprotein A-II. These two proteins had similar expression patterns in 5 patients, except one patient who experienced severe, acute, adverse effects. CONCLUSION: These results suggest that protein expression profiles determined by SELDI TOF-MS represent useful data for the identification of treatment-responsive proteins.

Amino Acid Sequence↗

Tissue microarray for high-throughput analysis of gene expression profiles in hepatocellular carcinoma.

AIM: To study the expression profiles of HBsAg, HBcAg, p21WAF1/CIP1 (p21), Rb genes in hepatocellular carcinoma (HCC) and to investigate their roles in the hepatocar-cinogenesis. METHODS: HCC tissue microarray containing 120-min tissues of 40 HCC cases was constructed. HBsAg, HBcAg, p21 and Rb proteins were immunohistochemically stained by streptavidin-peroxidase conjugated method (S-P). The expression loss of these genes in cancerous, para-cancerous tissues and adjacent normal liver tissues of 40 HCCs were comparatively examined. RESULTS: The positive rate of HBsAg expression in cancerous tissues of 40 HCCs was 7.5%, which was lower than that in para-cancerous and adjacent normal liver tissues (chi2 =12.774, P < 0.01; chi2 = 18.442, P < 0.01). The positive rate of HBcAg expression in cancerous tissues of 40 HCCs was 20.0%, which was also lower than that in para-cancerous and adjacent normal liver tissues (chi2 = 9.482, P < 0.01; chi2 = 14.645, P < 0.01). p21 protein deletion rate in cancerous tissues of 40 HCCs was 27.5%, which was higher than that in para-cancerous and adjacent normal liver tissues (chi2 = 7.439, P < 0.01; chi2 = 11.174, P < 0.01). p21 protein deletion correlated remarkably with the pathological grade of HCC (chi2 = 0.072, P < 0.05). Rb protein deletion rate in cancerous tissues of 40 HCCs was 42.5%, which was also higher than that in para-cancerous and adjacent normal liver tissues (chi2 = 10.551, P < 0.01; chi2 = 18.353, P < 0.01). Rb protein deletion rate did not correlate remarkably with tumor size or pathological grade of HCC (chi2 = 0.014, P > 0.05; chi2 = 0.017, P > 0.05). CONCLUSION: Expression deletion of HBsAg, HBcAg, p21 and Rb proteins in HCCs may play important roles in the carcinogenesis of HCC. Tissue microarray is an effective high-throughput technique platform for cancer research.

Carcinoma, Hepatocellular↗

Indoleamine 2,3-dioxygenase serves as a marker of poor prognosis in gene expression profiles of serous ovarian cancer cells.

PURPOSE: We aimed to find key molecules associated with chemoresistance in ovarian cancer using gene expression profiling as a screening tool. EXPERIMENTAL DESIGN: Using two newly established paclitaxel-resistant ovarian cancer cell lines from an original paclitaxel-sensitive cell line and four supersensitive and four refractory surgical ovarian cancer specimens from paclitaxel-based chemotherapy, molecules associated with chemoresistance were screened with gene expression profiling arrays containing 39,000 genes. We further analyzed 44 genes that showed significantly different expressions between paclitaxel-sensitive samples and paclitaxel-resistant samples with permutation tests, which were common in cell lines and patients' tumors. RESULTS: Eight of these genes showed reproducible results with real-time reverse transcription-PCR, of which indoleamine 2,3-dioxygenase gene expression was the most prominent and consistent. Moreover, by immunohistochemical analysis using a total of 24 serous-type ovarian cancer surgical specimens (stage III, n = 21; stage IV, n = 7), excluding samples used for GeneChip analysis, the Kaplan-Meier survival curve showed a clear relationship between indoleamine 2,3-dioxygenase staining patterns and overall survival (log-rank test, P = 0.0001). All patients classified as negative survived without relapse. The 50% survival of patients classified as sporadic, focal, and diffuse was 41, 17, and 11 months, respectively. CONCLUSION: The indoleamine 2,3-dioxygenase screened with the GeneChip was positively associated with paclitaxel resistance and with impaired survival in patients with serous-type ovarian cancer.

Animals↗

[Gene expression profiling of peripheral leukocytes from patients with systemic lupus erythematosus using oligonucleotide DNA microarray].

OBJECTIVE: To identify the differentially expressed genes in systemic lupus erythematosus (SLE) by comparing the gene expression profiles of peripheral leukocytes between SLE patients and healthy controls. METHODS: The total RNA was extracted from 5 ml peripheral blood of normal subjects and SLE patients, and reversely transcribed in cDNA templates to synthesize cDNA probes labeled for hybridization with the microarray. RESULTS: Totally 89 over- or under-expressed genes were identified in 9 SLE patients as compared with the controls. These genes included genes associated with cytokines and their receptors, immunity, cell signal transduction, protein transcription and synthesis, ion channel and transporters, cell apoptosis, DNA and RNA processing, and extracellular matrix etc. Clustering analysis showed that in spite of the individual diversity of the SLE patients, their gene expression profiles were strikingly similar. CONCLUSION: The differentially expressed genes screened with oligonucleotide DNA microarray technique may provide clues for exploring the pathogenesis and progression of SLE, and for identification of potential molecular markers for diagnosis and development of therapeutic drugs.

Adult↗

Altered gene expression profiles of rat lung in response to an emission particulate and its metal constituents.

Comprehensive and systematic approaches are needed to understand the molecular basis for the health effects of particulate matter (PM) reported in epidemiological studies. Due to the complex nature of the pollutant and the altered physiological conditions of predisposed populations, it has been difficult to establish a direct cause and effect relationship. A high-throughput technology such as gene expression profiling may be useful in identifying molecular networks implicated in the health effects of PM and its causative constituents. Differential gene expression profiles derived for rat lungs exposed to PM and its constituent metals using a custom rat cardiopulmonary cDNA array are presented here. This array consists of 84 cardiopulmonary-related genes representing various biological functions such as lung injury/inflammation, repair/remodeling, structural and matrix alterations, and vascular contractility, as well as six expressed sequence tags (ESTs). The cDNA array was hybridized with (32)P-labeled cDNA generated from rat lung RNA. Total lung RNA was isolated from male Sprague-Dawley rats at 3 and 24 h following intratracheal instillation of either saline, residual oil fly ash (ROFA; 3.3 mg/kg), or its most toxic metallic constituents, nickel (NiSO(4); 3.3 mmol/kg) and vanadium (VSO(4); 5.7 mmol/kg). Metal concentrations reflected the levels present in one ROFA instillate. Densitometric scans of the array blots indicated ROFA- and metal-specific increased expression (1.5 to 3-fold) of stress response, inflammatory, and repair-related genes, and also genes involved in vascular contractility and thrombogenic activity. Expression of multiple cytokines in ROFA exposed rat lung compared to Ni and V suggest the role and importance of understanding constituent interactions in PM toxicity. Expression profiling using genomic approaches will aid in our understanding of toxicant-specific altered molecular pathways in lung injury and pathogenesis.

Air Pollutants↗

Gene expression profiling of the ageing rat vibrissa follicle.

BACKGROUND: The application of gene expression profiling to the study of chronological ageing has the potential to illuminate the molecular mechanisms underlying a complex and active process. For example, ageing of the skin and its constituent organs has myriad phenotypic consequences, and a better understanding of the means by which these changes arise has important corollaries for intervention strategies. OBJECTIVES: We used a transcriptional profiling approach to investigate changes in gene expression associated with ageing of the large vibrissa follicle of the Wistar rat. METHODS: Follicle mRNA isolated from male Wistar rats at 1 and 18 months of age was hybridized to Clontech Atlas 1.2 Rat cDNA macroarrays. Confirmation of array results was provided by the use of Northern blotting and immunohistochemistry. RESULTS: Seven transcripts displayed at least a 1.6-fold increase in expression with age, of which APOD (2.5-fold), GSTM2 (2.0-fold) and NPY (1.8-fold) showed the greatest increases. Decreased expression was found in 19 transcripts, most notably in ALOX12 (13.3-fold) and GAP43 (12.6-fold) expression. CONCLUSIONS: Follicular ageing is characterized by transcriptional changes associated with diverse aspects of keratinocyte metabolism, proliferation and development.

Aging↗

Going global: protein expression profiling using shotgun mass spectrometry.

Protein expression profiling, the science of monitoring global sets of proteins produced by any given cell type, tissue or organism, has been invigorated by the introduction of proteomic technologies capable of characterizing large numbers of proteins. This review summarizes recent advances in mass spectrometry-based techniques for high-throughput protein identification and quantitation that are fueling rapid growth in the field. Key publications applying state-of-the-art 'shotgun' methods for investigating the entire protein complement of whole organelles, cells and tissues are highlighted. An overview of current proteomic challenges, particularly in the area of data analysis, and the long-term prospects of protein profiling strategies in basic biomedical research, therapeutics development and clinical discovery is also provided.

Animals↗

[Gene apoptosis expression profiles in liver cancer and their comparison to normal peri-cancerous liver tissues].

OBJECTIVE: To describe a few gene expression profiles related to apoptosis and to demonstrate their difference between the liver cancer and its adjacent normal tissues. METHODS: cDNA, labeled as a-32P dATP was synthesized from the total RNA of cancer and adjacent normal tissues and, then, hybridized individually with two identical array membranes of Atlas human cancer dDNA expression containing 588 known genes. The method involving gene-specific semi-quantitative reverse transcription in the polymerase chain reaction (RT-PCR) was used to confirm the expression pattern of three known genes. RESULTS: Autoradiographic results were analyzed by specific AtlasImage (version 1.01a) software. Among 69 genes that were found to be related to apoptosis, 4 were up-related, including Aktl, and 19 were down-related, including BAK, Caspase-3, etc., all being related to cancer. The RT-PCR results showed that the expression pattern of all genes was in agreement with the results of Atlas expression array. CONCLUSION: The result obtained from Atlas microarray provides a liver cancer-specific expression profile related to apoptosis. The discovery about the apoptosis related genes may yield some clues on the oncogenetic mechanism of liver cancer in the future. The differential hybridization technique of cDNA expression array involving the Atlas human cancer can become a useful method in the understanding of the development and progression of human cancer.

Apoptosis↗

Gene expression profiles associated with survival of individual rat dentate cells after endogenous corticosteroid deprivation.

Removal of circulating corticosterone by adrenalectomy (ADX) leads to apoptosis after 3 days in a small population of rat dentate granule neurons, whereas most surrounding cells remain viable. Interestingly, a specific expression profile is triggered in surviving granule cells that may enhance their survival. Hippocampal slices prepared 1, 2 or 3 days after ADX or sham operation were stained ex vivo with Hoechst 33258, which serves to identify apoptotic neurons. After electrophysiological analysis, multiple gene expression in surviving individual granule cells was assessed by linear antisense RNA amplification and hybridization to slot blots containing various neuronal cDNAs. Hierarchical clustering and principal component analysis was performed on two physiological variables and 14 mRNA ratios from ADX cells from every time point. Our results indicate that surviving 3-day ADX granule cells display lower membrane capacitance, lower relative N-methyl-d-aspartate (NMDA) R1 mRNA expression and higher relative mineralocorticoid receptor (MR), alpha1A voltage-gated Ca-channel, Bcl-2 and NMDA R2C mRNA expression. Some 1- and 2-day ADX cells cluster with these 3-day survivors; therefore, one or more components of their mRNA expression profile may represent predictive markers for apoptosis resistance. The functional relevance of two candidate genes was tested by in vivo local over-expression in the same model system; of these, Bcl-2 conferred partial protection when induced shortly before ADX. Therefore, removal of corticosteroids triggers a specific gene expression profile in surviving dentate granule cells; key components of this profile may be associated with their survival.

Adrenalectomy↗

Gene expression profiling in liver and testis of rats to characterize the toxicity of triazole fungicides.

Four triazole fungicides were studied using toxicogenomic techniques to identify potential mechanisms of action. Adult male Sprague-Dawley rats were dosed for 14 days by gavage with fluconazole, myclobutanil, propiconazole, or triadimefon. Following exposure, serum was collected for hormone measurements, and liver and testes were collected for histology, enzyme biochemistry, or gene expression profiling. Body and testis weights were unaffected, but liver weights were significantly increased by all four triazoles, and hepatocytes exhibited centrilobular hypertrophy. Myclobutanil exposure increased serum testosterone and decreased sperm motility, but no treatment-related testis histopathology was observed. We hypothesized that gene expression profiles would identify potential mechanisms of toxicity and used DNA microarrays and quantitative real-time PCR (qPCR) to generate profiles. Triazole fungicides are designed to inhibit fungal cytochrome P450 (CYP) 51 enzyme but can also modulate the expression and function of mammalian CYP genes and enzymes. Triazoles affected the expression of numerous CYP genes in rat liver and testis, including multiple Cyp2c and Cyp3a isoforms as well as other xenobiotic metabolizing enzyme (XME) and transporter genes. For some genes, such as Ces2 and Udpgtr2, all four triazoles had similar effects on expression, suggesting possible common mechanisms of action. Many of these CYP, XME and transporter genes are regulated by xeno-sensing nuclear receptors, and hierarchical clustering of CAR/PXR-regulated genes demonstrated the similarities of toxicogenomic responses in liver between all four triazoles and in testis between myclobutanil and triadimefon. Triazoles also affected expression of multiple genes involved in steroid hormone metabolism in the two tissues. Thus, gene expression profiles helped identify possible toxicological mechanisms of the triazole fungicides.

Animals↗

[An initial examination of the spermatozoal gene expression profile].

OBJECTIVE: To collect the normal spermatozoal gene expression sequence tags with the restriction display technique for constructing a microarray to understand spermatozoal gene expression profiles. METHODS: The total RNA extracted from normal human spermatozoa were reversely transcribed into cDNAs, which were digested by Sau3AI and linked to universal adapters (adapter 1) at both ends. According to the sequence of the adapter, a pair of primers (universal primers 1) was designed, followed by PCR with primers 1 and the PCR products were transferred into E.coli. The positive clones were collected after identification to serve as the probes for constructing the gene expression microarray of spermatozoa by printing those probes on the slides. The accomplished microarrays were examined by Cy3-labeled normal spermatozoal samples. RESULTS: Altogether 1 859 probes were collected, from which 368 were picked out randomly for constructing the microarray. CONCLUSIONS: Human spermatozoa contain a rich repertoire of RNAs, and the probes we prepared possess good incredibility and speciality.

Adult↗

Two different global gene expression profiles in cancer cell lines established from etiologically different oral carcinomas.

cDNA arrays were used to characterize the gene expression profiles in 6 oral carcinoma cell lines (UT-SCC-10, UT-SCC-14, UT-SCC-37, UT-SCC-54A and UT-SCC-54B, UT-SCC-74) established from 5 patients with different etiological backgrounds, including young patients, classical risk factors and lichen-derived lesions. In addition, 2 human papillomavirus (HPV)-positive cell lines (hypophraryngeal cancer and HPV16 E6/E7-transformed oral keratinocytes) were similarly tested. Two distinct global gene expression profiles with down-regulated and up-regulated patterns were identified, which closely related to the etiologic backgrounds of the primary tumors. Typically in cluster analysis, interferon or interferon-related genes and T- and B-lymphocyte-related genes were up-regulated in lichen-derived carcinoma cell lines. Common to all carcinoma cell lines were 6 genes, which were up- or down-regulated (IgC mu heavy chain constant region, semaphorin, T-cell growth factor, cAMP-dependent protein kinase beta-catalytic subunit, desmocollin 1A/1B precursor and recA-like protein HsRad51). In HPV-positive cell lines, 13 genes were identified with similar down-regulation as shown in our previous studies on HPV-positive genital cell lines. Importantly, all of these genes were also down-regulated in 3 of the 6 oral cancer cell lines. These data suggest that oral carcinomas with different etiological backgrounds can be distinguished by their different global gene expression patterns.

Adult↗