DNA promoter hypermethylation profiles in breast duct fluid.

DNA methylation of tumor-suppressor genes occurs early in the molecular transformation of precursor events to breast cancer and is therefore of interest to screening in high-risk women. The aim of this study was to use tumor-suppressor genes that have previously been shown to be cancer predictive in tissue to evaluate the potential of DNA methylation assays in cells from duct lavage (DL) fluid. The frequency of target gene DNA methylation in tissue and DL of cancer and healthy control patients was assessed, and an association of DNA methylation between different duct systems in the same breast was explored. The cancer and control groups were identified in the outpatient clinic when surgical treatment was finalized. Tumor, adjacent tissue and bilateral DL samples for comparative DNA methylation studies were obtained during surgery from women with cancer. In the healthy control group, samples of tissue and DL were collected. Reverse transcriptase methylation-specific PCR was conducted on modified DNA purified from 42 cancer biopsies, 41 benign excision cavity biopsies (internal control), 29 benign biopsies (external control), and 119 DL specimens. A validated panel of cancer predictive genes was analyzed in the study bank of tissue and DL samples from cancer and healthy patients. The sensitivity of DNA methylation in DL samples compared with matched cancer tissue was highest for SCGB3A1 (90 %), CDH13 (91 %), and RARB (83 %). The genetic algorithm selected RASSF1A, RARB, and IGFBP7 as the optimum predictor set for detecting DNA methylation in cancer tissue. The optimum area under the ROC curve for DNA methylation in cancer compared with internal control healthy tissue from excision margins was 0.84. The area under the ROC curve for DNA methylation in cancer DL compared with contralateral benign DL was 0.76. DL cytology was not a helpful predictor of breast cancer. This study shows that relative patterns of tumor-suppressor gene hypermethylation in breast cancer tissue are significantly reflected in the DL from the cancer affected breast. Using DL, nonconcordant patterns of DNA methylation between different duct systems confer independent oncologic potential for distinct breast lobes. The approach of DNA methylation in DL may be substantiated by a larger trial of breast cancer biomarkers.

Genome-wide functional screen identifies a compendium of genes affecting sensitivity to tamoxifen.

Therapies that target estrogen signaling have made a very considerable contribution to reducing mortality from breast cancer. However, resistance to tamoxifen remains a major clinical problem. Here we have used a genome-wide functional profiling approach to identify multiple genes that confer resistance or sensitivity to tamoxifen. Combining whole-genome shRNA screening with massively parallel sequencing, we have profiled the impact of more than 56,670 RNA interference reagents targeting 16,487 genes on the cellular response to tamoxifen. This screen, along with subsequent validation experiments, identifies a compendium of genes whose silencing causes tamoxifen resistance (including BAP1, CLPP, GPRC5D, NAE1, NF1, NIPBL, NSD1, RAD21, RARG, SMC3, and UBA3) and also a set of genes whose silencing causes sensitivity to this endocrine agent (C10orf72, C15orf55/NUT, EDF1, ING5, KRAS, NOC3L, PPP1R15B, RRAS2, TMPRSS2, and TPM4). Multiple individual genes, including NF1, a regulator of RAS signaling, also correlate with clinical outcome after tamoxifen treatment.

Close and stable relationship between proliferation and a hypoxia metagene in aromatase inhibitor-treated ER-positive breast cancer.

PURPOSE: The majority of breast cancer patients who have estrogen receptor positive (ER(+)) tumors whose proliferation is reduced after estrogen deprivation by aromatase inhibitors (AI). This study investigates any link between proliferation and hypoxia, a major determinant of tumor biology, and defines the effect of estrogen deprivation on hypoxia-associated genes. METHODS: Genome-wide expression profiles were obtained from tumor biopsies from 81 ER(+) postmenopausal patients, before and after 2 weeks' anastrozole treatment. A hypoxia metagene was developed by identifying genes clustered with classical hypoxia-regulated genes, excluding those associated with proliferation. Proliferation was measured by Ki67 and a proliferation metagene derived from two published breast cancer data sets. RESULTS: Hypoxia and proliferation metagenes were associated at baseline (Pearson correlation coefficient, r = 0.67, P < 10(-4)) and after 2 weeks (r = 0.71, P < 10(-4)). Hypoxia metagene at baseline was associated with 2-week Ki67 (r = 0.43, P = 0.0002) and more weakly with poor 2-week Ki67 change consistent with a weak association with AI resistance. Hypoxia metagene was significantly downregulated with AI. This downregulation was significantly associated with change in the proliferation metagene and with Ki67 but, importantly, not with the substantial change in expression of classical estrogen-dependent genes. CONCLUSIONS: Hypoxia metagene is closely associated with proliferation before and after AI treatment. The downregulation of hypoxia metagene after AI therapy is most likely the result of changes in proliferation. There may be a weak effect of hypoxia metagene on de novo resistance to AIs. These findings are important to consider in coapplication of antiproliferative agents with antiangiogenic or antihypoxia agents.

Genomic distance entrained clustering and regression modelling highlights interacting genomic regions contributing to proliferation in breast cancer.

BACKGROUND: Genomic copy number changes and regional alterations in epigenetic states have been linked to grade in breast cancer. However, the relative contribution of specific alterations to the pathology of different breast cancer subtypes remains unclear. The heterogeneity and interplay of genomic and epigenetic variations means that large datasets and statistical data mining methods are required to uncover recurrent patterns that are likely to be important in cancer progression. RESULTS: We employed ridge regression to model the relationship between regional changes in gene expression and proliferation. Regional features were extracted from tumour gene expression data using a novel clustering method, called genomic distance entrained agglomerative (GDEC) clustering. Using gene expression data in this way provides a simple means of integrating the phenotypic effects of both copy number aberrations and alterations in chromatin state. We show that regional metagenes derived from GDEC clustering are representative of recurrent regions of epigenetic regulation or copy number aberrations in breast cancer. Furthermore, detected patterns of genomic alterations are conserved across independent oestrogen receptor positive breast cancer datasets. Sequential competitive metagene selection was used to reveal the relative importance of genomic regions in predicting proliferation rate. The predictive model suggested additive interactions between the most informative regions such as 8p22-12 and 8q13-22. CONCLUSIONS: Data-mining of large-scale microarray gene expression datasets can reveal regional clusters of co-ordinate gene expression, independent of cause. By correlating these clusters with tumour proliferation we have identified a number of genomic regions that act together to promote proliferation in ER+ breast cancer. Identification of such regions should enable prioritisation of genomic regions for combinatorial functional studies to pinpoint the key genes and interactions contributing to tumourigenicity.

Genome-wide transcriptomic profiling of microdissected human breast tissue reveals differential expression of KIT (c-Kit, CD117) and oestrogen receptor-alpha (ERalpha) in response to therapeutic radiation.

The pathogenesis of late normal tissue fibrosis after high-dose ionizing radiation involves multiple cell types and signalling pathways but is not well understood. To identify the molecular changes occurring after radiotherapy, paired normal tissue samples were collected from the non-irradiated breast and from the treated breast of women who had undergone curative radiotherapy for early breast cancer months or years previously. As radiation may induce distinct transcriptional changes in the different components of the breast, laser capture microdissection and gene expression microarray profiling were performed separately for epithelial and stromal components and selected genes were validated using immunohistochemistry. In the epithelial compartment, a reduction of KIT (c-Kit; CD117) and a reciprocal increase in ESR1 (oestrogen receptor-alpha, ERalpha) mRNA and protein levels were seen in irradiated compared to non-irradiated samples. In the stromal compartment, extracellular matrix genes including FN1 (fibronectin 1) and CTGF (connective tissue growth factor; CCN2) were increased. Further investigation revealed that c-Kit and ERalpha were expressed in distinct subpopulations of luminal epithelial cells. Interlobular c-Kit-positive mast cells were also increased in irradiated cases not showing features of post-radiation atrophy. Pathway analysis revealed 'cancer, reproductive system disease and tumour morphology' as the most significantly enriched network in the epithelial compartment, whereas in the stromal component, a significant enrichment for 'connective tissue disorders, dermatological diseases and conditions, genetic disorder' and 'cancer, tumour morphology, infection mechanism' networks was observed. These data identify previously unreported changes in the epithelial compartment and show altered expression of genes implicated in late normal tissue injury in the stromal compartment of normal breast tissue. The findings are relevant to both fibrosis and atrophy occurring after radiotherapy for early breast cancer.

PPM1D is a potential therapeutic target in ovarian clear cell carcinomas.

PURPOSE: To identify therapeutic targets in ovarian clear cell carcinomas, a chemoresistant and aggressive type of ovarian cancer. EXPERIMENTAL DESIGN: Twelve ovarian clear cell carcinoma cell lines were subjected to tiling path microarray comparative genomic hybridization and genome-wide expression profiling analysis. Regions of high-level amplification were defined and genes whose expression levels were determined by copy number and correlated with gene amplification were identified. The effects of inhibition of PPM1D were assessed using short hairpin RNA constructs and a small-molecule inhibitor (CCT007093). The prevalence of PPM1D amplification and mRNA expression was determined using chromogenic in situ hybridization and quantitative real-time reverse transcription-PCR in a cohort of pure ovarian clear cell carcinomas and on an independent series of unselected epithelial ovarian cancers. RESULTS: Array-based comparative genomic hybridization analysis revealed regions of high-level amplification on 1q32, 1q42, 2q11, 3q24-q26, 5p15, 7p21-p22, 11q13.2-q13.4, 11q22, 17q21-q22, 17q23.2, 19q12-q13, and 20q13.2. Thirty-four genes mapping to these regions displayed expression levels that correlated with copy number gains/amplification. PPM1D had significantly higher levels of mRNA expression in ovarian clear cell carcinoma cell lines harboring gains/amplifications of 17q23.2. PPM1D inhibition revealed that PPM1D expression and phosphatase activity are selectively required for the survival of ovarian clear cell carcinoma cell lines with 17q23.2 amplification. PPM1D amplification was significantly associated with ovarian clear cell carcinoma histology (P = 0.0003) and found in 10% of primary ovarian clear cell carcinomas. PPM1D expression levels were significantly correlated with PPM1D gene amplification in primary ovarian clear cell carcinomas. CONCLUSION: Our data provide strong circumstantial evidence that PPM1D is a potential therapeutic target for a subgroup of ovarian clear cell carcinomas.

A high-resolution integrated analysis of genetic and expression profiles of breast cancer cell lines.

Tumour cell lines derived from breast cancer patients constitute one of the cornerstones of breast cancer research. To characterise breast cancer cell lines at the genetic level, we have developed a full tiling path bacterial artificial chromosome (BAC) array collection for comparative genomic hybridisation (aCGH). This aCGH BAC collection covers 98% of the entire human genome at a resolution of 40-60 kbp. We have used this platform alongside an in-house produced 17 K cDNA microarray set to characterise the genetic and transcriptomic profiles of 24 breast cancer cell lines, as well as cell types derived from non-diseased breast. We demonstrate that breast cancer cell lines have genomic and transcriptomic features that recapitulate those of primary breast cancers and can be reliably subclassified into basal-like and luminal subgroups. By overlaying aCGH and transcriptomic data, we have identified 753 genes whose expression correlate with copy number; this list comprised numerous oncogenes recurrently amplified and overexpressed in breast cancer (e.g., HER2, MYC, CCND1 and AURKA). Finally, we demonstrate that although breast cancer cell lines have genomic features usually found in grade III breast cancers (i.e., gains of 1q, 8q and 20q), basal-like and luminal cell lines are characterised by distinct genomic aberrations.

Characterising the TP53-deleted subgroup of chronic lymphocytic leukemia: an analysis of additional cytogenetic abnormalities detected by interphase fluorescence in situ hybridisation and array-based comparative genomic hybridisation.

Deletion of the TP53 gene on chromosome 17p13.1 is the prognostic factor associated with the shortest survival in CLL. We used array-based comparative genomic hybridisation (arrayCGH) to identify additional DNA copy number changes in peripheral blood samples from 74 LRF CLL4 trial patients, 37 with >or=5% and 37 without TP53-deleted cells. ArrayCGH reliably detected deletions on 17p, including the TP53 locus, in cases with >or=50%TP53-deleted cells detected by fluorescence in situ hybridisation, plus seven additional cases with deleted regions on 17p excluding TP53. Losses on chromosomal regions 18p and/or 20p were found exclusively in cases with >or=5%TP53-deleted cells (p<0.001), 38% having one or both losses. The incidence of additional cytogenetic abnormalities, reflecting an increased chromosomal instability, was higher in >or=5%TP53-deleted cases (p=0.02). In particular, amplification of 2p and deletion of 6q were both more frequent. Cases with >20%TP53-deleted cells had the worst prognosis in the LRF CLL4 trial.

Impact of estrogen deprivation on gene expression profiles of normal postmenopausal breast tissue in vivo.

Aromatase inhibitors play a key role in the clinical management of hormone receptor-positive breast cancer and have potential utility as chemopreventive agents. Further understanding of the molecular effects of estrogen and its deprivation in normal breast tissue may allow the development of biomarkers of risk of breast cancer and help to predict the value of chemoprevention with aromatase inhibitors. Core biopsies of normal breast tissue were taken before and after letrozole treatment from postmenopausal women in the LITMaS pilot prevention study. RNA was extracted from these samples and used for cDNA microarray analysis. Gene expression changes induced by letrozole treatment were much less extensive than observed in estrogen receptor-positive malignant tissue; however, overall, they correlated to a highly significant degree (rho = 0.511; P < 10(-20)). As well as some classically estrogen-associated genes, many genes associated with extracellular matrix remodeling were affected by estrogen deprivation in the normal breast in vivo. These data indicate for the first time that gene expression of normal breast tissue remains dependent on endogenous estrogens after the menopause. The modest degree of gene change suggests that intermediate markers of chemoprevention may be difficult to identify.

Regulator of G-protein signalling 2 mRNA is differentially expressed in mammary epithelial subpopulations and over-expressed in the majority of breast cancers.

INTRODUCTION: To understand which signalling pathways become deregulated in breast cancer, it is necessary to identify functionally significant gene expression patterns in the stem, progenitor, transit amplifying and differentiated cells of the mammary epithelium. We have previously used the markers 33A10, CD24 and Sca-1 to identify mouse mammary epithelial cell subpopulations. We now investigate the relationship between cells expressing these markers and use gene expression microarray analysis to identify genes differentially expressed in the cell populations. METHODS: Freshly isolated primary mouse mammary epithelial cells were separated on the basis of staining with the 33A10 antibody and an alpha-Sca-1 antibody. The populations identified were profiled using gene expression microarray analysis. Gene expression patterns were confirmed on normal mouse and human mammary epithelial subpopulations and were examined in a panel of breast cancer samples and cell lines. RESULTS: Analysis of the separated populations demonstrated that Sca-1- 33A10High stained cells were estrogen receptor alpha (Esr1)- luminal epithelial cells, whereas Sca-1+ 33A10Low/- stained cells were a mix of nonepithelial cells and Esr1+ epithelial cells. Analysis of the gene expression data identified the gene Rgs2 (regulator of G-protein signalling 2) as being highly expressed in the Sca-1- 33A10Low/- population, which included myoepithelial/basal cells. RGS2 has previously been described as a regulator of angiotensin II receptor signalling. Gene expression analysis by quantitative real-time RT-PCR of cells separated on the basis of CD24 and Sca-1 expression confirmed that Rgs2 was more highly expressed in mouse myoepithelial/basal mammary cells than luminal cells. This expression pattern was conserved in normal human breast cells. Functional analysis demonstrated RGS2 to be a modulator of oxytocin receptor signalling. The potential significance of RGS2 expression in breast cancer was demonstrated by semi-quantitative RT-PCR analysis, data mining and quantitative real-time RT-PCR approaches, which showed that RGS2 was expressed in the majority of solid breast cancers at much higher levels than in normal human mammary cells. CONCLUSION: Molecular analysis of prospectively isolated mammary epithelial cells identified RGS2 as a modulator of oxytocin receptor signalling, which is highly expressed in the myoepithelial cells. The RGS2 gene, but not the oxytocin receptor, was also shown to be over-expressed in the majority of breast cancers, identifying the product of this gene, or the pathway(s) it regulates, as potentially significant therapeutic targets.

Molecular response to aromatase inhibitor treatment in primary breast cancer.

BACKGROUND: Aromatase inhibitors such as anastrozole and letrozole are highly effective suppressants of estrogen synthesis in postmenopausal women and are the most effective endocrine treatments for hormone receptor positive breast cancer in such women. Little is known of the molecular effects of these agents on human breast carcinomas in vivo. METHODS: We randomly assigned primary estrogen receptor positive breast cancer patients to treatment with anastrozole or letrozole for 2 weeks before surgery. Expression profiling using cDNA arrays was conducted on pretreatment and post-treatment biopsies. Sample pairs from 34 patients provided sufficient RNA for analysis. RESULTS: Profound changes in gene expression were seen with both aromatase inhibitors, including many classical estrogen-dependent genes such as TFF1, CCND1, PDZK1 and AGR2, but also many other genes that are likely to represent secondary responses; decrease in the expression of proliferation-related genes were particularly prominent. Many upregulated genes are involved in extracellular matrix remodelling, including collagens and members of the small leucine-rich proteoglycan family (LUM, DCN, and ASPN). No significant differences were seen between letrozole and anastrozole in terms of molecular effects. The gene changes were integrated into a Global Index of Dependence on Estrogen (GIDE), which enumerates the genes changing by at least twofold with therapy. The GIDE varied markedly between tumours and related significantly to pretreatment levels of HER2 and changes in immunohistochemically detected Ki67. CONCLUSION: Our findings identify the transcriptional signatures associated with aromatase inhibitor treatment of primary breast tumours. Larger datasets using this approach should enable identification of estrogen-dependent molecular changes, which are the determinants of benefit or resistance to endocrine therapy.

Oncocytic change in pleomorphic adenoma: molecular evidence in support of an origin in neoplastic cells.

BACKGROUND: Cells with oncocytic change (OC) are a common finding in salivary glands (SGs) and in SG tumours. When found within pleomorphic adenomas (PAs), cells with OC may be perceived as evidence of malignancy, and lead to a misdiagnosis of carcinoma ex pleomorphic adenoma (CaExPa). AIM: To describe a case of PA with atypical OC, resembling a CaExPa. A genomewide molecular analysis was carried out to compare the molecular genetic features of the two components and to determine whether the oncocytic cells originated from PA cells, entrapped normal cells, or whether these cells constitute an independent tumour. MATERIALS AND METHODS: Representative blocks were immunohistochemically analysed with antibodies raised against cytokeratin (Ck) 5/6, Ck8/18, Ck14, vimentin, p63, alpha-smooth muscle actin (ASMA), S100 protein, anti-mitochondria antibody, beta-catenin, HER2, Ki67, p53 and epidermal growth factor receptor. Typical areas of PA and OC were microdissected and subjected to microarray-based comparative genomic hybridisation (aCGH). Chromogenic in situ hybridisation (CISH) was performed with in-house generated probes to validate the aCGH findings. RESULTS: PA cells showed the typical immunohistochemical profile, including positivity for Ck5/6, Ck8/18, Ck14, vimentin, ASMA, S100 protein, p63, epidermal growth factor receptor and beta-catenin, whereas oncocytic cells showed a luminal phenotype, expression of anti-mitochondria antibody and reduced beta-catenin staining. Both components showed low proliferation rates and lacked p53 reactivity. aCGH revealed a similar amplification in both components, mapping to 12q13.3-q21.1, which was further validated by CISH. No HER2 gene amplification or overexpression was observed. The foci of oncocytic metaplasia showed an additional low-level gain of 6p25.2-p21.31. CONCLUSION: The present data demonstrate that the bizarre atypical cells of the present case show evidence of clonality but no features of malignancy. In addition, owing to the presence of a similar genome amplification pattern in both components, it is proposed that at least in some cases, OC may originate from PA cells.

Evaluation of Phi29-based whole-genome amplification for microarray-based comparative genomic hybridisation.

For the optimal performance of high throughput genomic technologies sufficient yields of high-quality DNA are crucial. Following microdissection, most samples fail to produce sufficient quantities of DNA for genome-wide experiments. Various PCR-based amplification methods have been used, but these usually produce nonuniform representations of the genome. Bacteriophage Phi29 DNA polymerase random-primed DNA amplification is based on isothermal multiple displacement amplification. We sought to define the genome representation of this method in a bacterial artificial chromosome microarray comparative genomic hybridisation (aCGH) platform. Test genomic female DNA was amplified using Phi29 amplification at four different starting concentrations (0.5, 5, 10 and 50 ng). These products were combined with unamplified and amplified genomic female DNA as reference. In addition, 50 ng of DNA from five microdissected breast cancer frozen samples, were amplified using the same method. Three combinations were performed: unamplified test with unamplified reference, amplified test with unamplified reference and both amplified tumour and reference DNA. aCGH was performed with an in-house 16 K BAC platform (a resolution of approximately 100 Kb). Pearson's correlation tests and hierarchical clustering were performed to compare the profiles obtained. aCGH profiles obtained with amplified test and unamplified reference female genomic DNA showed copy number biases throughout the genome. These biases were more conspicuous with smaller amounts of starting material and mapped to regions of known copy number polymorphisms. When similar concentrations of test and reference DNA were amplified, the biases were significantly reduced, rendering accurate profiles. For the tumours, representative profiles were obtained when both test and reference DNA were amplified. Phi29 amplification induces copy number biases and unamplified material remains the gold standard for copy number analysis. For accurate results using Phi29 amplification, samples subjected to aCGH analysis should be combined with reference DNA amplified with the same method, using similar amounts of starting template.

FGFR1 emerges as a potential therapeutic target for lobular breast carcinomas.

PURPOSE: Classic lobular carcinomas (CLC) account for 10% to 15% of all breast cancers. At the genetic level, CLCs show recurrent physical loss of chromosome16q coupled with the lack of E-cadherin (CDH1 gene) expression. However, little is known about the putative therapeutic targets for these tumors. The aim of this study was to characterize CLCs at the molecular genetic level and identify putative therapeutic targets. EXPERIMENTAL DESIGN: We subjected 13 cases of CLC to a comprehensive molecular analysis including immunohistochemistry for E-cadherin, estrogen and progesterone receptors, HER2/neu and p53; high-resolution comparative genomic hybridization (HR-CGH); microarray-based CGH (aCGH); and fluorescent and chromogenic in situ hybridization for CCND1 and FGFR1. RESULTS: All cases lacked the expression of E-cadherin, p53, and HER2, and all but one case was positive for estrogen receptors. HR-CGH revealed recurrent gains on 1q and losses on 16q (both, 85%). aCGH showed a good agreement with but higher resolution and sensitivity than HR-CGH. Recurrent, high level gains at 11q13 (CCND1) and 8p12-p11.2 were identified in seven and six cases, respectively, and were validated with in situ hybridization. Examination of aCGH and the gene expression profile data of the cell lines, MDA-MB-134 and ZR-75-1, which harbor distinct gains of 8p12-p11.2, identified FGFR1 as a putative amplicon driver of 8p12-p11.2 amplification in MDA-MB-134. Inhibition of FGFR1 expression using small interfering RNA or a small-molecule chemical inhibitor showed that FGFR1 signaling contributes to the survival of MDA-MB-134 cells. CONCLUSIONS: Our findings suggest that receptor FGFR1 inhibitors may be useful as therapeutics in a subset of CLCs.

The effect of the stromal component of breast tumours on prediction of clinical outcome using gene expression microarray analysis.

INTRODUCTION: The aim of this study was to examine the effect of the cellular composition of biopsies on the error rates of multigene predictors of response of breast tumours to neoadjuvant adriamycin and cyclophosphamide (AC) chemotherapy. MATERIALS AND METHODS: Core biopsies were taken from primary breast tumours of 43 patients prior to AC, and subsequent clinical response was recorded. Post-chemotherapy (day 21) samples were available for 16 of these samples. Frozen sections of each core were used to estimate the proportion of invasive cancer and other tissue components at three levels. Transcriptional profiling was performed using a cDNA array containing 4,600 elements. RESULTS: Twenty-three (53%) patients demonstrated a 'good' and 20 (47%) a 'poor' clinical response. The percentage invasive tumour in core biopsies collected from these patients varied markedly. Despite this, agglomerative clustering of sample expression profiles showed that almost all biopsies from the same tumour aggregated as nearest neighbours. SAM (significance analysis of microarrays) regression analysis identified 144 genes which distinguished high- and low-percentage invasive tumour biopsies at a false discovery rate of not more than 5%. The misclassification error of prediction of clinical response using microarray data from pre-treatment biopsies (on leave-one-out cross-validation) was 28%. When prediction was performed on subsets of samples which were more homogeneous in their proportions of malignant and stromal cells, the misclassification error was considerably lower (8%-13%, p < 0.05 on permutation). CONCLUSION: The non-tumour content of breast cancer samples has a significant effect on gene expression profiles. Consideration of this factor improves accuracy of response prediction by expression array profiling. Future gene expression array prediction studies should be planned taking this into account.

Array CGH of fusion gene-positive leukemia-derived cell lines reveals cryptic regions of genomic gain and loss.

Human leukemia-derived cell lines containing characteristic chromosomal translocations and inversions have been instrumental in identifying fusion genes implicated in the pathogenesis of the corresponding leukemia. Although chimeric fusion genes usually provide early and essential steps in the development of leukemia, they are not in themselves sufficient, requiring additional genetic events. The nature of these secondary, cooperating genetic events is not known. The advent of genome wide microarray-based methods for assessing copy number changes made it possible to search for cytogenetically invisible regions of chromosome imbalance. We used BAC microarrays with a resolution of 1 Mb to determine whether cryptic regions of deletion or gain were associated with specific leukemia-associated fusion genes in a series of cell lines. To complement the array analysis, we also applied 24-color karyotyping by M-FISH. This revealed cryptic chromosomal translocations and regions of loss or gain in all the cell lines studied. The chromosomal origin of previously unidentified marker chromosomes was revealed. In all cases, chromosomes described as monosomic were shown to be involved in unbalanced translocations with concurrent loss and/or gain of chromosomal material. The extent of these amplified and deleted regions was more accurately defined. Finally, small regions of deletion and amplification, often including genes known to be involved in leukemia progression (for example MYC, TP53, CDKN2A, and KIT), were identified.

p53 modulates homologous recombination by transcriptional regulation of the RAD51 gene.

DNA repair by homologous recombination is involved in maintaining genome stability. Previous data report that wild-type p53 suppresses homologous recombination and physically interacts with Rad51. Here, we show the in vivo binding of wild-type p53 to a p53 response element in the promoter of Rad51 and the downregulation of Rad51 messenger RNA and protein by wild-type p53, favoured by DNA damage. Moreover, wild-type p53 inhibits Rad51 foci formation in response to double-strand breaks, whereas p53 contact mutant R280K fails to repress Rad51 mRNA and protein expression and Rad51 foci formation. We propose that transcriptional repression of Rad51 by p53 participates in regulating homologous recombination, and impaired Rad51 repression by p53 mutants may contribute to malignant transformation.

Expression profiling of purified normal human luminal and myoepithelial breast cells: identification of novel prognostic markers for breast cancer.

The normal duct-lobular system of the breast is lined by two epithelial cell types, inner luminal secretory cells and outer contractile myoepithelial cells. We have generated comprehensive expression profiles of the two normal cell types, using immunomagnetic cell separation and gene expression microarray analysis. The cell-type specificity was confirmed at the protein level by immunohistochemistry in normal breast tissue. New prognostic markers for survival were identified when the luminal- and myoepithelial-specific molecules were evaluated on breast tumor tissue microarrays. Nuclear expression of luminal epithelial marker galectin 3 correlated with a shorter overall survival in these patients, and the expression of SPARC (osteonectin), a myoepithelial marker, was an independent marker of poor prognosis in breast cancers as a whole. These data provide a framework for the interpretation of breast cancer molecular profiling experiments, the identification of potential new diagnostic markers, and development of novel indicators of prognosis.

cDNA microarray analysis of genes associated with ERBB2 (HER2/neu) overexpression in human mammary luminal epithelial cells.

To investigate changes in gene expression associated with ERBB2, expression profiling of immortalized human mammary luminal epithelial cells and variants expressing a moderate and high level of ERBB2 has been carried out using cDNA microarrays corresponding to approximately 6000 unique genes/ESTs. A total of 61 significantly up- or downregulated (2.0-fold) genes were identified and further validated by RT-PCR analysis as well as microarray comparisons with a spontaneously ERBB2- overexpressing breast cancer cell line and ERBB2-positive primary breast tumors. The expression and clinical relevance of proteins predicted to be associated with ERBB2 overexpression in breast cancers were analysed together with their clinical relevance by antibody screening using a tissue array. Differentially regulated genes include those involved in cell-matrix interactions including proline 4-hydroxylase (P4HA2), galectin 1 (LGALS1) and galectin 3 (LGALS3), fibronectin 1 (FN1) and p-cadherin (CDH3), and cell proliferation (CRIP1, IGFBP3) and transformation (S100P, S100A4). A number of genes associated with MYC signalling were also differentially expressed, including NDRG1, USF2 and the epithelial membrane proteins 1 and 3 (EMP1, EMP3). These data represent profiles of the transcriptional changes associated with ERBB2-related pathways in the breast, and identify novel and potentially useful targets for prognosis and therapy.