Genome-wide methylation analyses identifies Non-coding RNA genes dysregulated in breast tumours that metastasise to the brain.

Brain metastases comprise 40% of all metastatic tumours and breast tumours are among the tumours that most commonly metastasise to the brain, the role that epigenetic gene dysregulation plays in this process is not well understood. We carried out 450 K methylation array analysis to investigate epigenetically dysregulated genes in breast to brain metastases (BBM) compared to normal breast tissues (BN) and primary breast tumours (BP). For this, we referenced 450 K methylation data for BBM tumours prepared in our laboratory with BN and BP from The Cancer Genome Atlas. Experimental validation on our initially identified genes, in an independent cohort of BP and in BBM and their originating primary breast tumours using Combined Bisulphite and Restriction Analysis (CoBRA) and Methylation Specific PCR identified three genes (RP11-713P17.4, MIR124-2, NUS1P3) that are hypermethylated and three genes (MIR3193, CTD-2023M8.1 and MTND6P4) that are hypomethylated in breast to brain metastases. In addition, methylation differences in candidate genes between BBM tumours and originating primary tumours shows dysregulation of DNA methylation occurs either at an early stage of tumour evolution (in the primary tumour) or at a later evolutionary stage (where the epigenetic change is only observed in the brain metastasis). Epigentic changes identified could also be found when analysing tumour free circulating DNA (tfcDNA) in patient's serum taken during BBM biopsies. Epigenetic dysregulation of RP11-713P17.4, MIR3193, MTND6P4 are early events suggesting a potential use for these genes as prognostic markers.

The GALNT9, BNC1 and CCDC8 genes are frequently epigenetically dysregulated in breast tumours that metastasise to the brain.

BACKGROUND: Tumour metastasis to the brain is a common and deadly development in certain cancers; 18-30 % of breast tumours metastasise to the brain. The contribution that gene silencing through epigenetic mechanisms plays in these metastatic tumours is not well understood. RESULTS: We have carried out a bioinformatic screen of genome-wide breast tumour methylation data available at The Cancer Genome Atlas (TCGA) and a broad literature review to identify candidate genes that may contribute to breast to brain metastasis (BBM). This analysis identified 82 candidates. We investigated the methylation status of these genes using Combined Bisulfite and Restriction Analysis (CoBRA) and identified 21 genes frequently methylated in BBM. We have identified three genes, GALNT9, CCDC8 and BNC1, that were frequently methylated (55, 73 and 71 %, respectively) and silenced in BBM and infrequently methylated in primary breast tumours. CCDC8 was commonly methylated in brain metastases and their associated primary tumours whereas GALNT9 and BNC1 were methylated and silenced only in brain metastases, but not in the associated primary breast tumours from individual patients. This suggests differing roles for these genes in the evolution of metastatic tumours; CCDC8 methylation occurs at an early stage of metastatic evolution whereas methylation of GANLT9 and BNC1 occurs at a later stage of tumour evolution. Knockdown of these genes by RNAi resulted in a significant increase in the migratory and invasive potential of breast cancer cell lines. CONCLUSIONS: These findings indicate that GALNT9 (an initiator of O-glycosylation), CCDC8 (a regulator of microtubule dynamics) and BNC1 (a transcription factor with a broad range of targets) may play a role in the progression of primary breast tumours to brain metastases. These genes may be useful as prognostic markers and their products may provide novel therapeutic targets.

Epigenetic genome-wide analysis identifies BEX1 as a candidate tumour suppressor gene in paediatric intracranial ependymoma.

Promoter hypermethylation and transcriptional silencing is a common epigenetic mechanism of gene inactivation in cancer. To identify targets of epigenetic silencing in paediatric intracranial ependymoma, we used a pharmacological unmasking approach through treatment of 3 ependymoma short-term cell cultures with the demethylating agent 5-Aza-2'-deoxycytidine followed by global expression microarray analysis. We identified 55 candidate epigenetically silenced genes, which are involved in the regulation of apoptosis, Wnt signalling, p53 and cell differentiation. The methylation status of 26 of these genes was further determined by combined bisulfite restriction analysis (COBRA) and genomic sequencing in a cohort of 40 ependymoma samples. The most frequently methylated genes were BEX1 (27/40 cases), BAI2 (20/40), CCND2 (18/40), and CDKN2A (14/40). A high correlation between promoter hypermethylation and decreased gene expression levels was established by real-time quantitative PCR, suggesting the involvement of these genes in ependymoma tumourigenesis. Furthermore, ectopic expression of brain-expressed X-linked 1 (BEX1) in paediatric ependymoma short-term cell cultures significantly suppressed cell proliferation and colony formation. These data suggest that promoter hypermethylation contributes to silencing of target genes in paediatric intracranial ependymoma. Epigenetic inactivation of BEX1 supports its role as a candidate tumour suppressor gene in intracranial ependymoma, and a potential target for novel therapies for ependymoma in children.

CD133 glycosylation is enhanced by hypoxia in cultured glioma stem cells.

The cancer stem cell (CSC) marker CD133 is widely expressed in gliomas and employed mostly by use of the CD133/1 antibody which binds the extracellular glycosylated AC133 epitope. CD133 recognition may, however, be affected by its glycosylation pattern and oxygen tension. The present study investigates the effect of oxygen deprivation on CD133 expression and glycosylation status employing a high AC133-expressing glioblastoma multiforme (GBM) cell line, IN699. IN699 cells were cultured under normoxic (21% O2) and hypoxic (3% O2) conditions. CD133 expression was analysed by western blotting (WB), qRT-PCR, immunocytochemistry (ICC) and flow cytometry using the glycosylation-specific antibody CD133/1 and ab19898 which binds the unglycosylated intra-cellular residues of CD133. By flow cytometry, ab19898 detected 94.1% and 96.2% CD133+ cells under normoxia and hypoxia, respectively. Hypoxia significantly increased the percentage of CD133+ cells from 69% to 92% using CD133/1 (p<0.005). Moreover, a significantly higher geomean fluorescence intensity (GMI) was demonstrated by ab19898 (p<0.005) in CD133+ cells. WB and qRT-PCR results were consistent with flow cytometry data. Furthermore, over a period of 72-h incubation under normoxic and hypoxic conditions after autoMACS sorting, an average of 31.8% and 42.2%, respectively, of CD133-negative IN699 cells became positive using CD133/1. Our data show that a) previously reported CD133- cells may have been misidentified using the glycosylation-specific CD133/1 as constitutive expression of CD133 was detected by the intracellular antibody ab19898; b) hypoxia promotes glycosylation status of CD133, indicating possible involvement of glycosylated CD133 in the process of anti-hypoxia-mediated apoptosis.

Cytogenetic analysis of paediatric astrocytoma using comparative genomic hybridisation and fluorescence in-situ hybridisation.

Little is known about the cytogenetic and molecular genetic events that lead to the formation of paediatric astrocytoma. We have analysed 57 paediatric astrocytoma (WHO grades I-IV) using comparative genomic hybridisation in order to identify common regions of abnormality. Large regions of copy number alterations were infrequent with 71% of tumours demonstrating no genomic imbalance. Furthermore, the most frequent aberrations (including gain of 6q, 2q, and 7q, and loss of 16 and 12q) occurred in only a subset of cases. High-copy number amplification was seen in five tumours at 12 different regions. The presence of copy number alterations was significantly associated with increasing grade of malignancy, and gain of 12q and the presence of high-copy number amplification were associated with a poor outcome in patients with malignant astrocytoma (P = 0.0039 and 0.0085, respectively). FISH analysis confirmed loss of 1p36 identified by CGH. There was no evidence of amplification of EGFR, CDK4, MET, CDK6, c-myc, or MDM2.

Genomic deletions correlate with underexpression of novel candidate genes at six loci in pediatric pilocytic astrocytoma.

The molecular pathogenesis of pediatric pilocytic astrocytoma (PA) is not well defined. Previous cytogenetic and molecular studies have not identified nonrandom genetic aberrations. To correlate differential gene expression and genomic copy number aberrations (CNAs) in PA, we have used Affymetrix GeneChip HG_U133A to generate gene expression profiles of 19 pediatric patients and the SpectralChip 2600 to investigate CNAs in 11 of these tumors. Hierarchical clustering according to expression profile similarity grouped tumors and controls separately. We identified 1844 genes that showed significant differential expression between tumor and normal controls, with a large number clearly influencing phosphatidylinositol and mitogen-activated protein kinase signaling in PA. Most CNAs identified in this study were single-clone alterations. However, a small region of loss involving up to seven adjacent clones at 7q11.23 was observed in seven tumors and correlated with the underexpression of BCL7B. Loss of four individual clones was also associated with reduced gene expression including SH3GL2 at 9p21.2-p23, BCL7A (which shares 90% sequence homology with BCL7B) at 12q24.33, DRD1IP at 10q26.3, and TUBG2 and CNTNAP1 at 17q21.31. Moreover, the down-regulation of FOXG1B at 14q12 correlated with loss within the gene promoter region in most tumors. This is the first study to correlate differential gene expression with CNAs in PA.

Real-time quantitative PCR analysis of pediatric ependymomas identifies novel candidate genes including TPR at 1q25 and CHIBBY at 22q12-q13.

Loss of chromosome 22 and gain of 1q are the most frequent genomic aberrations in ependymomas, indicating that genes mapping to these regions are critical in their pathogenesis. Using real-time quantitative PCR, we measured relative copy numbers of 10 genes mapping to 22q12.3-q13.33 and 10 genes at 1q21-32 in a series of 47 pediatric intracranial ependymomas. Loss of one or more of the genes on 22 was detected in 81% of cases, with RAC2 and C22ORF2 at 22q12-q13.1 being deleted most frequently in 38% and 32% of ependymoma samples, respectively. Combined analysis of quantitative-PCR with methylation-specific PCR and bisulphite sequencing revealed a high rate (>60% ependymoma) of transcriptional inactivation of C22ORF2, indicating its potential importance in the development of pediatric ependymomas. Increase of relative copy numbers of at least one gene on 1q were detected in 61% of cases, with TPR at 1q25 displaying relative copy number gains in 38% of cases. Patient age was identified as a significant adverse prognostic factor, as a significantly shorter overall survival time (P = 0.0056) was observed in patients <2 years of age compared with patients who were >2 years of age. Loss of RAC2 at 22q13 or amplification of TPR at 1q25 was significantly associated with shorter overall survival in these younger patients (P = 0.0492 and P = < 0.0001, respectively). This study identifies candidate target genes within 1q and 22q that are potentially important in the pathogenesis of intracranial pediatric ependymomas.

Microarray analysis of pediatric ependymoma identifies a cluster of 112 candidate genes including four transcripts at 22q12.1-q13.3.

Ependymomas are glial cell-derived tumors characterized by varying degrees of chromosomal abnormalities and variability in clinical behavior. Cytogenetic analysis of pediatric ependymoma has failed to identify consistent patterns of abnormalities, with the exception of monosomy of 22 or structural abnormalities of 22q. In this study, a total of 19 pediatric ependymoma samples were used in a series of expression profiling, quantitative real-time PCR (Q-PCR), and loss of heterozygosity experiments to identify candidate genes involved in the development of this type of pediatric malignancy. Of the 12,627 genes analyzed, a subset of 112 genes emerged as being abnormally expressed when compared to three normal brain controls. Genes with increased expression included the oncogene WNT5A; the p53 homologue p63; and several cell cycle, cell adhesion, and proliferation genes. Underexpressed genes comprised the NF2 interacting gene SCHIP-1 and the adenomatous polyposis coli (APC)-associated gene EB1 among others. We validated the abnormal expression of six of these genes by Q-PCR. The subset of differentially expressed genes also included four underexpressed transcripts mapping to 22q12.313.3. By Q-PCR we show that one of these genes, 7 CBX7(22q13.1), was deleted in 55% of cases. Other genes mapping to cytogenetic hot spots included two overexpressed and three underexpressed genes mapping to 1q31-41 and 6q21-q24.3, respectively. These genes represent candidate genes involved in ependymoma tumorigenesis. To the authors' knowledge, this is the first time microarray analysis and Q-PCR have been linked to identify heterozygous/homozygous deletions.