Britta Hasemeier

Epigenetic inactivation of microRNA gene hsa-mir-9-1 in human breast cancer†

MicroRNAs (miRNAs) represent a new class of small non‐coding RNAs regulating gene expression by inducing RNA degradation or interfering with translation. Aberrant miRNA expression has been described for several human malignancies and tumour suppressor functions have been ascribed to this new class of small regulatory RNAs. Accordingly, inactivation due to deletion or mutation has been found in human malignancies. Here, we describe the role of aberrant hypermethylation as an additional mechanism for miRNA gene inactivation in human breast cancer. Aberrant hypermethylation was shown for mir‐9‐1, mir‐124a3, mir‐148, mir‐152, and mir‐663 in 34–86% of cases in a series of 71 primary human breast cancer specimens. For comprehensive methylation analysis, combined bisulphite restriction analysis, bisulphite sequencing, and Pyrosequencing™ were employed. miRNA gene hypermethylation correlated strongly with methylation of known tumour suppressor genes (p = 0.003). After treatment of various breast cancer cell lines with the demethylating agent 5‐aza‐2′‐deoxycytidine, reduction of mir‐9‐1 gene methylation and concomitant reactivation of expression could be observed. For the mir‐9‐1 gene, which is already hypermethylated in pre‐invasive intraductal lesions, a good correlation between quantitative methylation level and reduction of expression could be demonstrated in a subset of primary human breast cancer specimen (r = 0.8). In conclusion, this study demonstrates that various microRNA genes are also affected by epigenetic inactivation due to aberrant hypermethylation and that this is an early and frequent event in breast cancer development. Copyright

Quantitative assessment of promoter hypermethylation during breast cancer development.

The aberrant methylation of cytosine residues in the promoter region of growth regulatory genes is now widely recognized as an additional mechanism for gene inactivation in cancer cells. In this study we analyzed the methylation status of four growth regulatory genes (p16, RASSF1A, cyclinD2, 14-3-3zeta) during breast cancer progression. For this purpose invasive and noninvasive tumor cell populations as well as hyperplastic cell proliferations were isolated from a series of archival breast tissue specimens (n = 57) using laser-assisted microdissection. A new real-time polymerase chain reaction-based assay was used for the sensitive and quantitative determination of the cell-specific methylation status. We found that aberrant promoter methylation was already prevalent in pure intraductal carcinoma with different frequencies and different methylation levels for the four genes analyzed. For RASSF1A and 14-3-3zeta promoter methylation was also demonstrated in epithelial hyperplasia and intraductal papillomas. By contrast, aberrant methylation of cyclinD2 and p16 was restricted to cancerous epithelium. Increased methylation of the cyclinD2 gene was significantly associated with a higher van Nuys grade. Furthermore, when intraductal and invasive tumor cells were compared, significant quantitative changes in the methylation level were detected primarily within the cyclinD2 gene. These results demonstrate that promoter methylation is an early and frequent event in breast cancer development, but displays great quantitative and gene-specific differences, and changes in a gene-specific manner during tumor progression.

Identification of differentially expressed microRNAs in human male breast cancer

BackgroundThe discovery of small non-coding RNAs and the subsequent analysis of microRNA expression patterns in human cancer specimens have provided completely new insights into cancer biology. Genetic and epigenetic data indicate oncogenic or tumor suppressor function of these pleiotropic regulators. Therefore, many studies analyzed the expression and function of microRNA in human breast cancer, the most frequent malignancy in females. However, nothing is known so far about microRNA expression in male breast cancer, accounting for approximately 1% of all breast cancer cases.MethodsThe expression of 319 microRNAs was analyzed in 9 primary human male breast tumors and in epithelial cells from 15 male gynecomastia specimens using fluorescence-labeled bead technology. For identification of differentially expressed microRNAs data were analyzed by cluster analysis and selected statistical methods.Expression levels were validated for the most up- or down-regulated microRNAs in this training cohort using real-time PCR methodology as well as in an independent test cohort comprising 12 cases of human male breast cancer.ResultsUnsupervised cluster analysis separated very well male breast cancer samples and control specimens according to their microRNA expression pattern indicating cancer-specific alterations of microRNA expression in human male breast cancer. miR-21, miR519d, miR-183, miR-197, and miR-493-5p were identified as most prominently up-regulated, miR-145 and miR-497 as most prominently down-regulated in male breast cancer.ConclusionsMale breast cancer displays several differentially expressed microRNAs. Not all of them are shared with breast cancer biopsies from female patients indicating male breast cancer specific alterations of microRNA expression.

Loss of Imprinting and Allelic Switching at the DLK1-MEG3 Locus in Human Hepatocellular Carcinoma

Deregulation of imprinted genes is an important molecular mechanism contributing to the development of cancer in humans. However, knowledge about imprinting defects in human hepatocellular carcinoma (HCC), the third leading cause of cancer mortality worldwide, is still limited. Therefore, a systematic meta-analysis of the expression of 223 imprinted loci in human HCC was initiated. This screen revealed that the DLK1-MEG3 locus is frequently deregulated in HCC. Deregulation of DLK1 and MEG3 expression accompanied by extensive aberrations in DNA methylation could be confirmed experimentally in an independent series of human HCC (n = 40) in more than 80% of cases. Loss of methylation at the DLK1-MEG3 locus correlates linearly with global loss of DNA methylation in HCC (r2 = 0.63, p<0.0001). Inhibition of DNMT1 in HCC cells using siRNA led to a reduction in MEG3-DMR methylation and concomitant increase in MEG3 RNA expression. Allele-specific expression analysis identified loss of imprinting in 10 out of 31 informative samples (32%), rendering it one of the most frequent molecular defects in human HCC. In 2 cases unequivocal gain of bi-allelic expression accompanied by substantial loss of methylation at the IG-DMR could be demonstrated. In 8 cases the tumour cells displayed allelic switching by mono-allelic expression of the normally imprinted allele. Allelic switching was accompanied by gains or losses of DNA methylation primarily at IG-DMR1. Analysis of 10 hepatocellular adenomas (HCA) and 5 cases of focal nodular hyperplasia (FNH) confirmed that this epigenetic instability is specifically associated with the process of malignant transformation and not linked to increased proliferation per se. This widespread imprint instability in human HCC has to be considered in order to minimize unwanted side-effects of therapeutic approaches targeting the DNA methylation machinery. It might also serve in the future as predictive biomarker and for monitoring response to epigenetic therapy.

Quantitative cross-validation and content analysis of the 450k DNA methylation array from Illumina, Inc.

BackgroundThe newly released 450k DNA methylation array from Illumina, Inc. offers the possibility to analyze more than 480,000 individual CpG sites in a user friendly standardized format. In this study the relationship between the β-values provided by the Illumina, Inc. array for each individual CpG dinucleotide and the quantitative methylation levels obtained by pyrosequencing were analyzed. In addition, the representation of microRNA genes and imprinted loci on the Illumina, Inc. array was assessed in detail. Genomic DNA from 4 human breast cancer cell lines (IPH-926, HCC1937, MDA-MB-134, PMC42) and 18 human breast cancer specimens as well as 4 normal mammary epithelial fractions was analyzed on 450k DNA methylation arrays. The β-values for 692 individual CpG sites from 62 different genes were cross-validated using conventional quantitative pyrosequencing.FindingsThe newly released 450k methylation array from Illumina, Inc. shows a high concordance with quantitative pyrosequencing if identical CpG sites are analyzed in cell lines (Spearman r = 0.88, p ≪ 0.0001), which is somewhat reduced in primary tumor specimens (Spearman r = 0.86, p ≪ 0.0001). 80.7% of the CpG sites show an absolute difference in methylation level of less than 15 percentage points. If different CpG sites in the same CpG islands are targeted the concordance is lower (r = 0.83 in cell lines and r = 0.7 in primary tumors). The number of CpG sites representing microRNA genes and imprinted loci is very heterogeneous (range: 1 – 70 CpG sites for microRNAs and 1 – 288 for imprinted loci).ConclusionsThe newly released 450k methylation array from Illumina, Inc. provides a genome-wide quantitative representation of DNA methylation aberrations in a convenient format. Overall, the congruence with pyrosequencing data is very good. However, for individual loci one should be careful to translate the β-values directly into percent methylation levels.

Reliable microRNA profiling in routinely processed formalin-fixed paraffin-embedded breast cancer specimens using fluorescence labelled bead technology

BackgroundDuring the last years the analysis of microRNA expression patterns has led to completely new insights into cancer biology. Furthermore, these patterns are a very promising tool for the development of new diagnostic and prognostic markers. However, most human tumour samples for which long term clinical records are available exist only as formalin-fixed paraffin-embedded specimens. Therefore, the aim of this study was to examine the feasibility of microRNA profiling studies in routinely processed formalin-fixed paraffin-embedded human breast cancer specimens using fluorescence labelled bead technology.ResultsA statistically highly significant correlation (Spearman r: 0.78 – 0.90, p < 0.0001) was observed for the expression of 319 microRNAs in routinely processed FFPE breast cancer specimens and paired fresh frozen tissue samples (n = 5). Results were confirmed in a larger series analyzing a selection of 10 microRNAs reported to be deregulated in breast cancer (n = 12). The expression pattern of 3 microRNAs was independently validated in this cohort using real-time RT-PCR technology.ConclusionComprehensive microRNA expression patterns can be reliably derived from routinely processed FFPE breast cancer specimens using fluorescence labelled bead technology.

Concordant hypermethylation of intergenic microRNA genes in human hepatocellular carcinoma as new diagnostic and prognostic marker

Epigenetic inactivation by aberrant DNA methylation has been reported for many microRNA genes in various human malignancies. However, relatively little is known about microRNA gene methylation in hepatocellular carcinoma (HCC). Therefore, a systematic screen for identification of aberrantly hypermethylated microRNA genes in HCC was initiated. The methylation status of 39 intergenic CpG island associated microRNA genes was analyzed in HCC cell lines (n = 7), immortalized hepatocytes (n = 2) and normal liver samples (n = 5). Subsequently, 13 differentially methylated microRNA genes were analyzed in primary human HCC samples (n = 40), benign liver tumors (n = 15) and the adjacent liver tissues employing pyrosequencing. Expression of microRNA genes was measured using quantitative real‐time polymerase chain reaction (RT‐PCR). In addition, DNA methylation and expression of microRNA genes were measured after DNMT1 knockdown or DNMT inhibition. Aberrant hypermethylation and concomitant reduction in expression of intergenic microRNA genes is a frequent event in human HCC: hsa‐mir‐9‐2 (23%), hsa‐mir‐9‐3 (50 %), hsa‐mir‐124‐1 (20%), hsa‐mir‐124‐2 (13%), hsa‐mir‐124‐3 (43%), hsa‐mir‐129‐2 (58%), hsa‐mir‐596 (28%) and hsa‐mir‐1247 (38%). Altogether, it affects 90% of the HCC specimens under study. MicroRNA gene methylation is not found in hepatocellular adenoma (n = 10) and focal nodular hyperplasia (n = 5). DNMT1 knockdown or DNMT inhibition reduced microRNA gene methylation and stimulated expression. In primary human HCC specimens hypermethylation and expression of microRNA genes showed an inverse correlation. Concordant hypermethylation of three or more microRNA genes is a highly specific marker for the detection of HCC and for poor prognosis.

Systematic cross-validation of 454 sequencing and pyrosequencing for the exact quantification of DNA methylation patterns with single CpG resolution

BackgroundNew high-throughput sequencing technologies promise a very sensitive and high-resolution analysis of DNA methylation patterns in quantitative terms. However, a detailed and comprehensive comparison with existing validated DNA methylation analysis methods is not yet available. Therefore, a systematic cross-validation of 454 sequencing and conventional pyrosequencing, both of which offer exact quantification of methylation levels with a single CpG dinucleotide resolution, was performed.ResultsTo this end the methylation patterns of 12 loci (GSTπ1, p16INK4a, RASSF1A, SOCS1, MAL, hsa-mir-1-1, hsa-mir-9-3, hsa-mir-34a, hsa-mir-596, hsa-mir-663, MINT31, and LINE-1) were analyzed in ten primary hepatocellular carcinoma specimens. After applying stringent quality control criteria, 35749 sequences entered further analysis. The methylation level of individual CpG dinucleotides obtained by 454 sequencing was systematically compared with the corresponding values obtained by conventional pyrosequencing. Statistical analyses revealed an excellent concordance of methylation levels for all individual CpG dinucleotides under study (r2 = 0.927).ConclusionsOur results confirm that 454 sequencing of bisulfite treated genomic DNA provides reliable high quality quantitative methylation data and identify MAL, hsa-mir-9-3, hsa-mir-596, and hsa-mir-663 as new targets of aberrant DNA methylation in human hepatocelluar carcinoma. In addition, the single molecule resolution of 454 sequencing provides unprecedented information about the details of DNA methylation pattern heterogeneity in clinical samples.

Deregulation of RB1 expression by loss of imprinting in human hepatocellular carcinoma.

The tumour suppressor gene RB1 is frequently silenced in many different types of human cancer, including hepatocellular carcinoma (HCC). However, mutations of the RB1 gene are relatively rare in HCC. A systematic screen for the identification of imprinted genes deregulated in human HCC revealed that RB1 shows imprint abnormalities in a high proportion of primary patient samples. Altogether, 40% of the HCC specimens (16/40) showed hyper‐ or hypomethylation at the CpG island in intron 2 of the RB1 gene. Re‐analysis of publicly available genome‐wide DNA methylation data confirmed these findings in two independent HCC cohorts. Loss of correct DNA methylation patterns at the RB1 locus leads to the aberrant expression of an alternative RB1–E2B transcript, as measured by quantitative real‐time PCR. Demethylation at the intron 2 CpG island by DNMT1 knock‐down or aza‐deoxycytidine (DAC) treatment stimulated expression of the RB1–E2B transcript, accompanied by diminished RB1 main transcript expression. No aberrant DNA methylation was found at the RB1 locus in hepatocellular adenoma (HCA, n = 10), focal nodular hyperplasia (FNH, n = 5) and their corresponding adjacent liver tissue specimens. Deregulated RB1 expression due to hyper‐ or hypomethylation in intron 2 of the RB1 gene is found in tumours without loss of heterozygosity and is associated with a decrease in overall survival (p = 0.032) if caused by hypermethylation of CpG85. This unequivocally demonstrates that loss of imprinting represents an important additional mechanism for RB1 pathway inactivation in human HCC, complementing well‐described molecular defects. Copyright

Epigenetic inactivation of tumour suppressor gene KLF11 in myelodysplastic syndromes.

The identification of aberrantly hypermethylated genes may lead to the development of new diagnostic markers and the identification of novel targets of epigenetic therapy in myelodysplastic syndromes (MDS). We therefore investigated the methylation status of transcription factor genes KLF5, KLF11, and MAFB, shown to be aberrantly methylated in myelogeneous leukaemia cells, in a series of 115 MDS patient as well as in 25 control subjects. Using quantitative high‐resolution pyrosequencing methodology, KLF11, MAFB, and KLF5 were shown for the first time to be hypermethylated in 17 (15%), 8 (7%), and 2 (1.7%) cases, respectively, but not in any of the patients with an isolated 5q‐deletion. Patient samples harbouring KLF11 methylation displayed reduced KLF11 mRNA expression and KLF11 hypermethylation correlated with a high International Prognostic Scoring System score (P < 0.05). In conclusion, epigenetic inactivation and subsequent transcriptional repression of the KLF11 gene is quite frequent in MDS. Patients with an isolated 5q‐deletion seem to harbour a distinct epigenetic profile.