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Gene-expression profiles in hereditary breast cancer.

BACKGROUND: Many cases of hereditary breast cancer are due to mutations in either the BRCA1 or the BRCA2 gene. The histopathological changes in these cancers are often characteristic of the mutant gene. We hypothesized that the genes expressed by these two types of tumors are also distinctive, perhaps allowing us to identify cases of hereditary breast cancer on the basis of gene-expression profiles. METHODS: RNA from samples of primary tumor from seven carriers of the BRCA1 mutation, seven carriers of the BRCA2 mutation, and seven patients with sporadic cases of breast cancer was compared with a microarray of 6512 complementary DNA clones of 5361 genes. Statistical analyses were used to identify a set of genes that could distinguish the BRCA1 genotype from the BRCA2 genotype. RESULTS: Permutation analysis of multivariate classification functions established that the gene-expression profiles of tumors with BRCA1 mutations, tumors with BRCA2 mutations, and sporadic tumors differed significantly from each other. An analysis of variance between the levels of gene expression and the genotype of the samples identified 176 genes that were differentially expressed in tumors with BRCA1 mutations and tumors with BRCA2 mutations. Given the known properties of some of the genes in this panel, our findings indicate that there are functional differences between breast tumors with BRCA1 mutations and those with BRCA2 mutations. CONCLUSIONS: Significantly different groups of genes are expressed by breast cancers with BRCA1 mutations and breast cancers with BRCA2 mutations. Our results suggest that a heritable mutation influences the gene-expression profile of the cancer.

Algorithms↗

Gene expression profiling of primary breast carcinomas using arrays of candidate genes.

Breast cancer is characterized by an important histoclinical heterogeneity that currently hampers the selection of the most appropriate treatment for each case. This problem could be solved by the identification of new parameters that better predict the natural history of the disease and its sensitivity to treatment. A large-scale molecular characterization of breast cancer could help in this context. Using cDNA arrays, we studied the quantitative mRNA expression levels of 176 candidate genes in 34 primary breast carcinomas along three directions: comparison of tumor samples, correlations of molecular data with conventional histoclinical prognostic features and gene correlations. The study evidenced extensive heterogeneity of breast tumors at the transcriptional level. A hierarchical clustering algorithm identified two molecularly distinct subgroups of tumors characterized by a different clinical outcome after chemotherapy. This outcome could not have been predicted by the commonly used histoclinical parameters. No correlation was found with the age of patients, tumor size, histological type and grade. However, expression of genes was differential in tumors with lymph node metastasis and according to the estrogen receptor status; ERBB2 expression was strongly correlated with the lymph node status (P < 0.0001) and that of GATA3 with the presence of estrogen receptors (P < 0.001). Thus, our results identified new ways to group tumors according to outcome and new potential targets of carcinogenesis. They show that the systematic use of cDNA array testing holds great promise to improve the classification of breast cancer in terms of prognosis and chemosensitivity and to provide new potential therapeutic targets.

Adult↗

[Gene expression profile of human hepatocellular carcinoma cell lines with different metastatic potentials].

OBJECTIVE: To compare gene expression profile of human hepatocellular carcinoma (HCC) cell lines with different metastatic potentials, so as to screen for metastasis-related genes. METHODS: Gene expression profile of MHCC97-L and HCCLM3, two HCC cell lines with similar genetic background but different in spontaneous metastatic potentials, were studied by cDNA microarray. RESULTS: From 1,626 screened genes, 25 differentially expressed genes were found, 18 showed decreased expression including the decreased expression of cell cycle control genes Rb2, mismatch repair gene hMSH2, and signal transduction gene protein kinase C beta 2 and 7 increased expression including signal transduction gene MAP kinase kinase 6, cell proliferation gene E25, immunity related gene SP40, 40, etc in HCCLM3. CONCLUSION: The genes, being closely associated with cancer metastasis, could be considered as potential markers to predict metastasis and targets for anti-metastasis intervention.

Blotting, Northern↗

Analysis of gene expression profiles associated with cisplatin resistance in human ovarian cancer cell lines and tissues using cDNA microarray.

Gene expression profiles were analyzed by using cDNA microarray for a cisplatin-sensitive cell line (KF), and three- and thirty-fold cisplatin-resistant ovarian cancer cell lines (KFr and KFrP200) both showing no p53 mutation within exon 5, 6, 7, 8 and no pglycoprotein overexpression. Expression of GST-pi mRNA increased as the level of resistance to cisplatin became high. Microarray analysis revealed that DNA repair associated genes, i.e., XRCC5, XRCC6, ERCC5, hMLH1 were over-expressed in three-fold cisplatin-resistant cell line, KFr as compared to cisplatin-sensitive parental cell line, KF. Apoptosis inhibitors, i.e., IGFR type I and II were over-expressed, and apoptosis inducer, i.e., caspase 3 and BAK were underexpressed in highly cisplatin-resistant cell line, KFrP200 as compared to KFr. As for clinical cases, cDNA microarray was used to compare gene expression profiles directly between two groups, i.e., the chemotherapy (CAP) sensitive group (n = 2) and the resistant group (n = 2). Six genes such as beta tubulin, high-mobility group (nonhistone chromosomal) protein 1, connective tissue growth factor, insulin-like growth factor binding protein 2, alpha tubulin, and RAS-related gene were overexpressed in CAP therapy resistance group, whereas seven genes such as CD9 antigen, alpha-2-macroglobulin, caveolin 2, interleukin 1 receptor antagonist, Rho GTPase activating protein 1, reticulon 3, cyclin-dependent kinase 10, keratin 7 were underexpressed in CAP therapy resistance group. By increasing clinical case number and gene number of microarray to be used in the analysis of expression profile of gene cluster affecting anticancer drug resistance and sensitivity of the ovarian cancer, it would be possible to apply microarray analysis to personalization of chemotherapy such as selection of effective chemotherapy protocol and prediction of therapeutic effect in the near future.

Cisplatin↗

DNA-microarrays as tools for the identification of tumor specific gene expression profiles: applications in tumor biology, diagnosis and therapy.

DNA-microarrays allow the analysis of almost the complete gene expression program of tumor samples and normal control samples in a single experiment. This allows the processing of a large number of samples in a reasonable short time. Tumor specific gene expression profiles can be used for molecular tumor classification and as a new diagnostic tool. In addition, the identification of tumor specific genes can help to understand the biology of tumor cells and identified genes can be used for the development of new therapeutic strategies. However, the huge amount of data generated by DNA-microarrays creates new challenges for data analysis. In addition, accuracy and reproducibility of the available techniques require complementary methods for verification of DNA-microarray data.

Child↗

Analysis of gene expression profiles in pancreatic carcinoma by using cDNA microarray.

OBJECTIVES: To survey the gene expression profiles in pancreatic carcinoma by using cDNA microarray and detect target genes for further study. METHODS: Three mixed samples from 2 cases of normal pancreatic tissue and 4 cases of moderate-differentiated pancreatic carcinoma were studied by means of cDNA microarray consisting of 18 000 genes. RESULTS: 1484 and 1353 different expressed genes were observed in two cancer samples respectively. We identified 455 genes altered with the same tendency in both samples, including 102 up-regulated and 353 down-regulated genes. There were 274 known genes and 181 unknown genes; 27.8% and 52.0% genes respectively had an expression level in cancer that was 2-fold higher or lower than that in normal samples. Tumor suppressor genes, growth factors and receptor genes, signal conduction genes, transcription factor genes were identified. CONCLUSIONS: cDNA microarray is an efficient and high-throughout method to investigate gene expression profiles in pancreatic carcinoma. MBD1, EDG1 and gene hypermethylation mechanism would play an important role in the pathogenesis of pancreatic carcinoma.

DNA Methylation↗

[Gene expression profiling of human ovarian epithelial tumors by digo nucleotide microarray].

Gene expression of human ovarian carcinoma cell lines and epithelial ovarian tumors was examined by oligonucleotide microarray for about 6000 human cDNAs. (1) Comparison of gene expression between CDDP-sensitive human ovarian serous adenocarcinoma cell lines and CDDP-resistant cell lines revealed that gamma-glutamylcysteine synthetase, glutathione peroxidase-like protein, dehydrogenase (UGDH), NAD(P)H: quinoneoxireductase, glucose-6-phosphatase, ornithine decarboxylase and dihydrodiol dehydrogenase were associated with a mechanism of CDDP-resistance. Comparison of gene expression between taxol-sensitive human ovarian cell lines and taxol-resistant cell lines showed that up-regulation of 30 kinds of gene expression including MDR and semaphorin E in taxol-resistant cell lines. (2) Comparison of gene expression among serous adenocarcinomas, clear cell adenocarcinomas and non-cancerous ovarian tissues by hierarchical clustering demonstrated that clear difference between carcinomas and non-cancerous ovarian tissues but not obvious difference between serous and clear adenocarcinomas. Genes that were up- and down-regulated specifically in these two types of ovarian carcinomas were further selected by the criteria that difference in the mRNA level by more than 4-fold between tumors and non-cancerous tissues. Tissue type specific alterations of gene expression are likely to play important roles in the carcinogenesis of epithelial ovarian tumors. cDNA microarray is a powerful and high-throughput tool to analyze gene expression of cancer development.

Adenocarcinoma, Clear Cell↗

Bioinformatic identification of potential autocrine signaling loops in cancers from gene expression profiles.

Many biological signaling pathways involve autocrine ligand-receptor loops; misregulation of these signaling loops can contribute to cancer phenotypes. Here we present an algorithm for detecting such loops from gene expression profiles. Our method is based on the hypothesis that for some autocrine pathways, the ligand and receptor are regulated by coupled mechanisms at the level of transcription, and thus ligand-receptor pairs comprising such a loop should have correlated mRNA expression. Using our database of experimentally known ligand-receptor signaling partners, we found examples of ligand-receptor pairs with significantly correlated expression in five cancer-based gene expression datasets. The correlated ligand-receptor pairs we identified are consistent with known autocrine signaling events in cancer cells. In addition, our algorithm predicts new autocrine signaling loops that can be verified experimentally. Chemokines were commonly members of these potential autocrine pathways. Our analysis also revealed ligand-receptor pairs with expression patterns that may indicate cellular mechanisms for preventing autocrine signaling.

Algorithms↗

[Preliminary study on gene expression profile of endometrial adenocarcinoma].

OBJECTIVE: To determine candidate genes of endometrial adenocarcinoma. METHODS: To compare the gene expression profile in 2 endometrial adenocarcinoma tissues and 2 normal endometria by HGEC-40s GeneChip probe including 4096 genes array. Expression differences between normal and malignant tissue groups were measured by GenePixPro3.0 software. RESULTS: 350 genes with a ratio below 0.5 and above 2.0 showed discrimination between normal and malignant groups. Thirty three genes with ratio above 3 were up-regulated, forty-four genes with ratio below 0.3 were down-regulated. CONCLUSION: The overexpression of oncogenes with their disturbed or constitutively activated signal transduction cascades alone or in combination with the mutation-induced silencing of tumor suppressor genes is associated with malignant transformation.

Adenocarcinoma↗

Gene expression profile from the striatum of amphetamine-treated rats: a cDNA array and in situ hybridization histochemical study.

Changes in gene/protein expression markedly outlast the transient changes in behavior evoked by a single dose of a psychostimulant. These changes in gene expression are thought to underlie and/or trigger enduring changes in neuroplasticity that lead to drug addiction. We used cDNA arrays to gain a more complete picture of changes in striatal gene expression 1 and 3 h after an acute injection of amphetamine. Consistent, reliable gene expression changes were detected when criteria of at least a 1.5-fold difference and three replicate hybridizations using independent samples were performed. Using these criteria, the mRNA for three immediate early genes (IEGs), coding for activity-regulated cytoskeletal-associated protein (Arc), nerve growth factor-induced protein A (NGFI-A; early growth response protein 1) and nerve growth factor-induced protein B (NGFI-B), were upregulated 1 and 3 h after amphetamine as previously described. Novel genes, RL/IF-1 (coding for I kappa B alpha chain) and serum/glucocorticoid-regulated serine/threonine protein kinase (SGK) also were increased throughout the striatum, at 1 but not 3 h. Conversely, amphetamine increased the mRNA coding for the secretogranin II precursor (chromogranin C) only at the 3 h time point when a specific decrease in regulator of G-protein signaling 4 (RGS4) mRNA was also observed. Gene changes and unique patterns of expression were verified by in situ hybridization, providing valuable information about changes in gene expression in response to acute amphetamine.

Amphetamine↗

[Changes in the gene expression profile of the left heart ventricle during growth in the rat].

Wistar rats of 8, 10 and 12-week-old were chosen for study of the relationship between cardiac growth and its gene expression profile changes during maturation. The ultrasonic parameters of rat hearts were recorded before sacrifice, then total RNA of left ventricle were extracted and gene expression profiles were analyzed by cDNA microarray. During growth from 8 weeks to 12 weeks, the body weight increased by 45.5% (287+/-13 g vs 197+/-10 g), and the increment in the first two-week period was equal to that of the second two-week period. The mass of left ventricle and the posterior wall thickness increased by 27.7% (0.60+/-0.03 g vs 0.47+/-0.02 g) and 23.6% (2.04+/-0.04 mm vs 1.65+/-0.13 mm), respectively, and their increment in the first two-week period was much more than that in the second one. Meanwhile, the gene expression profile of the left ventricle changed significantly, which involved cellular structure, metabolism, oxidative stress, signal transduction, etc. Compared with the 8-week-old rats, these genes were mostly up-regulated in 10-week-old rats, while for 12-week-old rats, the gene expression profile of the left ventricle recovered to the pattern of 8-week-old rats again on the whole. These results suggest that the relationship between the changes in cardiac function and gene expression profile can be analyzed comprehensively with the technique of microarray, and that the changes in gene expression profile of the left ventricle during rat maturation adapt to the physiological growth of heart, which is of benefit for keeping the metabolism balance between materials and energy.

Animals↗

Oral cancer in vivo gene expression profiling assisted by laser capture microdissection and microarray analysis.

Large scale gene expression profiling was carried out on laser capture microdissected (LCM) tumor and normal oral epithelial cells and analysed on high-density oligonucleotide microarrays. About 600 genes were found to be oral cancer associated. These oral cancer associated genes include oncogenes, tumor suppressors, transcription factors, xenobiotic enzymes, metastatic proteins, differentiation markers, and genes that have not been implicated in oral cancer. The database created provides a verifiable global profile of gene expression during oral carcinogenesis, revealing the potential role of known genes as well as genes that have not been previously implicated in oral cancer.

Aged↗

Gene expression profiles of I3C- and DIM-treated PC3 human prostate cancer cells determined by cDNA microarray analysis.

Studies from our laboratory and others have shown that indole-3-carbinol (I3C) and its in vivo dimeric product, 3,3'-diindolylmethane (DIM), inhibit the growth of PC3 prostate cancer cells and induce apoptosis by inhibiting nuclear factor (NF)-kappaB and Akt pathways. To obtain comprehensive gene expression profiles altered by I3C- and DIM-treated PC3 cells, we utilized cDNA microarray to interrogate the expression of 22,215 known genes using the Affymetrix Human Genome U133A Array. We found a total of 738 genes that showed a greater than twofold change after 24 h of DIM treatment. Among these genes, 677 genes were down-regulated and 61 were up-regulated. Similarly, 727 genes showed a greater than twofold change in expression, with down-regulation of 685 genes and up-regulation of 42 genes in I3C-treated cells. The altered expressions of genes were observed as early as 6 h and were more evident with longer treatment. Upon cluster analysis, we found that both I3C and DIM up-regulated the expression of genes that are related to the Phase I and Phase II enzymes, suggesting their increased capacity for detoxification of carcinogens or chemicals. We also found that I3C and DIM down-regulated the expression of genes that are critically involved in the regulation of cell growth, cell cycle, apoptosis, signal transduction, Pol II transcription factor and oncogenesis. Real-time reverse transcription-polymerase chain reaction analysis was conducted to confirm the cDNA microarray data, and the results were consistent. We conclude that I3C and DIM affected the expression of a large number of genes that are related to the control of carcinogenesis, cell survival and physiologic behaviors. This may help determine the molecular mechanism(s) by which I3C and DIM exert their pleiotropic effects on PC3 prostate cancer cells; in addition, this information could be further exploited for devising chemopreventive and/or therapeutic strategies for prostate cancer.

Cell Division↗

Gene expression profiling in adipose tissue indicates different transcriptional mechanisms of liver X receptors alpha and beta, respectively.

The nuclear receptors liver X receptors (LXR) alpha and beta are important regulators of genes involved in lipid, cholesterol, and carbohydrate metabolism and are highly expressed in mature adipocyte tissue. In this study we show that LXRalpha and LXRbeta are more expressed in brown adipose tissue and subcutaneous white adipose tissue than visceral (gonadal) adipose tissue. Furthermore, we report differences between LXRalpha and LXRbeta in their ability to alter expression of target genes. Gene expression profiling analysis of gonadal white adipose tissue from LXRalpha(-/-) mice and LXRbeta(-/-) mice shows different gene expression patterns in the two LXR-deficient mouse strains. Genes regulated similarly in both KO mouse strains as well as genes regulated in one, but not the other LXR-deficient mouse strain were seen. A number of genes were regulated in opposite directions by the respective LXR isoform. Taken together this suggests that the LXR isoforms might operate through different transcriptional mechanisms as well as common mechanisms. These results are in consonance with the growing body of evidence reporting differences in regulation of gene expression between the two isoforms. Furthermore, gene expression profiling shows altered gene expression patterns in primary mouse embryonic fibroblasts (MEFs) from wild type versus LXRbeta(-/-) mice; MEFs are pluripotent cells with the potential to differentiate into mature adipocytes. These results indicate a role of LXR in early developmental stages of adipose tissue.

Adipose Tissue↗

Distinction in gene expression profiles of oligodendrogliomas with and without allelic loss of 1p.

Oligodendrogliomas frequently, but not always show sensitivity to chemotherapy and recent studies demonstrated that allelic loss of chromosome 1p is highly associated with this chemosensitivity. To gain insight into the molecular mechanism of such difference, we examined comprehensive gene expression profiles of 11 oligodendroglial tumors, six with and five without 1pLOH (loss of heterozygosity), and two normal brain tissues using the oligonucleotide microarray (GeneChip). Statistically significant numbers of genes were expressed differentially between the two genetic subsets. Clustering analysis separated the tumor subsets well. The tumors with 1pLOH had similar expression profiles to the normal brain for those differentially expressed genes. Many genes showing higher expression in tumors with 1pLOH were presumed to have functions in nervous tissues. Notably, the majority of the 123 genes showing significant expression reduction in tumors with 1pLOH were either on chromosome 1 (50%) or on 19 (10%), and the average expression reduction ratio was about 50% (0.54+/-0.13) possibly reflecting the chromosomal deletion. Thus, the biological difference between the genetic subsets of oligodendroglioma was indeed reflected to gene expression profile, which provided baseline information for further studies to elucidate the mechanism of chemosensitivity in gliomas.

Adult↗

Gene expression profiles in HTLV-I-immortalized T cells: deregulated expression of genes involved in apoptosis regulation.

Human T-cell leukemia virus type I (HTLV-I) is the etiologic agent of adult T-cell leukemia, an acute and often fatal T-cell malignancy. A key step in HTLV-I-induced leukemigenesis is induction of abnormal T-cell growth and survival. Unlike antigen-stimulated T cells, which cease proliferation after a finite number of cell division, HTLV-I-infected T cells proliferate indefinitely (immortalized), thus facilitating occurrence of secondary genetic changes leading to malignant transformation. To explore the molecular basis of HTLV-I-induced abnormal T-cell survival, we compared the gene expression profiles of normal and HTLV-I-immortalized T cells using 'gene array'. These studies revealed a strikingly altered expression pattern of a large number of genes along with HTLV-I-mediated T-cell immortalization. Interestingly, many of these deregulated genes are involved in the control of programmed cell death or apoptosis. These findings indicate that disruption of the cellular apoptosis-regulatory network may play a role in the HTLV-I-mediated oncogenesis.

Apoptosis↗

Prediction and uncertainty in the analysis of gene expression profiles.

We have developed a complete statistical model for the analysis of tumor specific gene expression profiles. The approach provides investigators with a global overview on large scale gene expression data, indicating aspects of the data that relate to tumor phenotype, but also summarizing the uncertainties inherent in classification of tumor types. We demonstrate the use of this method in the context of a gene expression profiling study of 27 human breast cancers. The study is aimed at defining molecular characteristics of tumors that reflect estrogen receptor tatus. In addition to good predictive performance with respect to pure classification of the expression profiles, the model also uncovers conflicts in the data with respect to the classification of some of the tumors, highlighting them as critical cases for which additional investigations are appropriate.

Bayes Theorem↗