Multicenter study using paraffin-embedded tumor tissue testing PITX2 DNA methylation as a marker for outcome prediction in tamoxifen-treated, node-negative breast cancer patients.

PURPOSE: We recently reported DNA methylation of the paired-like homeodomain transcription factor 2 (PITX2) gene to be strongly correlated with increased risk of recurrence in node-negative, hormone receptor-positive, tamoxifen-treated breast cancer patients using fresh frozen specimens. Aims of the present study were to establish determination of PITX2 methylation for routine analysis in formalin-fixed paraffin-embedded (FFPE) breast cancer tissue and to test PITX2 DNA methylation as a biomarker for outcome prediction in an independent patient cohort. PATIENTS AND METHODS: Real-time polymerase chain reaction (PCR) technology was validated for FFPE tissue by comparing methylation measurements in FFPE specimens with those in fresh frozen specimens from the same tumor. The impact of PITX2 methylation on time to distant metastasis was then evaluated in FFPE specimens from hormone receptor-positive, node-negative breast cancer patients (n = 399, adjuvant tamoxifen monotherapy). RESULTS: Reproducibility of the PCR assay in replicate measurements (r(s) > or = 0.95; n = 150) and concordant measurements between fresh frozen and FFPE tissues (r(s) = 0.81; n = 89) were demonstrated. In a multivariate model, PITX2 methylation added significant information (hazard ratio = 2.35; 95% CI, 1.20 to 4.60) to established prognostic factors (tumor size, grade, and age). CONCLUSION: PITX2 methylation can be reliably assessed by real-time PCR technology in FFPE tissue. Together with our earlier studies, we have accumulated substantial evidence that PITX2 methylation analysis holds promise as a practical assay for routine clinical use to predict outcome in node-negative, tamoxifen-treated breast cancer, which might allow, based on future validation studies, the identification of low-risk patients who may be treated by tamoxifen alone.

DNA hypermethylation of PITX2 is a marker of poor prognosis in untreated lymph node-negative hormone receptor-positive breast cancer patients.

BACKGROUND: In this study, we evaluated if PITX2 DNA methylation is a marker for disease recurrence in lymph node-negative (LNN), steroid hormone receptor-positive (HR+) breast cancer patients. In addition, we studied the association between PITX2 DNA methylation and PITX2 gene expression. PATIENTS AND METHODS: PITX2 DNA-methylation was measured in tumor tissue from 412 LNN/HR+ breast cancer patients who had not received any adjuvant systemic treatment. In addition, PITX2 DNA-methylation and mRNA expression was evaluated in 32 breast cancer cell lines. RESULTS: In univariate Cox regression analysis, DNA-methylation of PITX2 as a continuous variable was associated with early distant metastasis (HR = 1.71; P < 0.01) and poor overall survival (HR = 1.71; P < 0.01). In multivariate analysis together with the established prognostic factors age, tumor size and tumor grade, and steroid hormone receptor levels, both associations retained their significance (for MFS, HR = 1.74; P < 0.01; for OS, HR = 1.46; P = 0.02). In the breast cancer cell lines, PITX2 DNA methylation was inversely association with PITX2A and PITX2B mRNA expression (P < 0.01). CONCLUSIONS: Hypermethylation of PITX2 is, in cell lines, negatively associated with PITX2 mRNA expression and, in clinical specimens, positively associated with breast cancer disease progression.

DNA-methylation of the homeodomain transcription factor PITX2 reliably predicts risk of distant disease recurrence in tamoxifen-treated, node-negative breast cancer patients--Technical and clinical validation in a multi-centre setting in collaboration with the European Organisation for Research and Treatment of Cancer (EORTC) PathoBiology group.

Our aim was to identify and validate DNA-methylation markers associated with very good outcome in node negative, hormone receptor positive breast cancer patients after adjuvant endocrine therapy which might allow identifying patients who could be spared the burden of adjuvant chemotherapy. Using a methylation microarray, we analysed 117 candidate genes in hormone receptor-positive tumours from 109 breast cancer patients treated by adjuvant tamoxifen. Results were validated in an independent cohort (n=236, 5 centres). Independent methodological validation was achieved by a real-time polymerase chain reaction (PCR)-based technique. DNA methylation of PITX2 showed the strongest correlation with distant recurrence. Its impact on patient outcome was validated in the independent cohort: 86% of patients with low PITX2 methylation were metastasis-free after 10 years, compared to 69% with elevated PITX2 methylation. Moreover, PITX2 methylation added significant independent information to established clinical factors. All clinical and technical findings were confirmed by quantitative DNA-methylation PCR. These results provide strong evidence that DNA-methylation analysis allows clinically relevant risk assessment in tamoxifen-treated primary breast cancer. Based on PITX2 methylation, about half of hormone receptor-positive, node-negative breast cancer patients receiving adjuvant tamoxifen monotherapy can be considered low-risk regarding development of distant recurrences and may thus be spared adjuvant chemotherapy. In addition, these low-risk postmenopausal patients seem to respond sufficiently well to tamoxifen so that they may not require up-front aromatase inhibitor therapy.

A real-time PCR assay for DNA-methylation using methylation-specific blockers.

DNA methylation-based biomarkers have been discovered that could potentially be used for the diagnosis of cancer by detection of circulating, tumor-derived DNA in bodily fluids. Any methylation detection assay that would be applied to these samples must be capable of detecting small amounts of tumor DNA in the presence of background normal DNA. We have developed a real-time PCR assay, called HeavyMethyl, that is well suited for this application. HeavyMethyl uses methylation-specific oligonucleotide blockers and a methylation-specific probe to achieve methylation-specific amplification and detection. We tested the assays on unmethylated and artificially methylated DNA in order to determine the limit of detection. After careful optimization, our glutathione-S-transferase pi1 and Calcitonin assays can amplify as little as 30 and 60 pg of methylated DNA, respectively, and neither assay amplifies unmethylated DNA. The Calcitonin assay showed a highly significant methylation difference between normal colon and colon adenocarcinomas, and methylation was also detected in serum DNA from colon cancer patients. These assays show that HeavyMethyl technology can be successfully employed for the analysis of very low concentrations of methylated DNA, e.g. in serum of patients with tumors.

Tumour class prediction and discovery by microarray-based DNA methylation analysis.

Aberrant DNA methylation of CpG sites is among the earliest and most frequent alterations in cancer. Several studies suggest that aberrant methylation occurs in a tumour type-specific manner. However, large-scale analysis of candidate genes has so far been hampered by the lack of high throughput assays for methylation detection. We have developed the first microarray-based technique which allows genome-wide assessment of selected CpG dinucleotides as well as quantification of methylation at each site. Several hundred CpG sites were screened in 76 samples from four different human tumour types and corresponding healthy controls. Discriminative CpG dinucleotides were identified for different tissue type distinctions and used to predict the tumour class of as yet unknown samples with high accuracy using machine learning techniques. Some CpG dinucleotides correlate with progression to malignancy, whereas others are methylated in a tissue-specific manner independent of malignancy. Our results demonstrate that genome-wide analysis of methylation patterns combined with supervised and unsupervised machine learning techniques constitute a powerful novel tool to classify human cancers.

Synthesis of 3',5'-Dipeptidyl Oligonucleotides.

Peptide-DNA hybrids are richly functionalized analogues of biomolecules that may have applications as hybridization probes and antisense agents with tunable binding and targeting properties. So far, synthetic efforts have mainly focused on hybrids bearing a single peptide chain, either at the 5'- or the 3'-terminus. Such singly modified analogues are vulnerable to nuclease attack at the unmodified terminus. Here we report a convenient and high-yielding solid-phase synthesis of 3'- and 5'-modified analogues of DNA with aminoacyl and peptidyl appendages at both termini. Using MALDI-TOF mass spectra of crude products as the criterion, serine, glycolic acid, hydroxylauric acid, and dimethyl hydroxypropionic acid were tested as 3'-linker residues. The latter, together with a direct amide link at the 5'-terminus, gave the highest yields of hybrids. The optimized procedure assembles hybrids on a controlled pore glass support bearing three consecutive omega-hydroxy lauric acid linkers. This support greatly reduces side reactions observed with conventional supports, probably due to its ability to increase steric accessibility during coupling ("swelling") and its rapid hydrolysis during deprotection with ammonium hydroxide. Dihybrids with aromatic, basic, and acidic amino acid residues were prepared, including H-Phe-Gly-TGCGCA-DP-Phe-OH, where DP denotes the dimethyl hydroxypropionic acid linker, whose structure was confirmed via mass spectrometry and one- and two-dimensional NMR. Further, a mixed coupling with seven Fmoc-protected amino acids was shown to produce a combinatorial library of dipeptidyl DNA hybrids.