Abstract Background: Despite outstanding advances in understanding the genetic background of uveal melanoma (UM) development and prognosis, the role of DNA methylation reprogramming remains elusive. This study aims to clarify the extent of DNA methylation deregulation in the context of gene expression changes and its utility as a reliable prognostic biomarker. Methods: Transcriptomic and DNA methylation landscapes in 25 high- and low-risk UMs were interrogated by Agilent SurePrint G3 Human Gene Expression 8×60K v2 Microarray and Human Infinium Methylation EPIC Bead Chip array, respectively. DNA methylation and gene expression of the nine top discriminatory genes, selected by the integrative analysis, were validated by pyrosequencing and qPCR in 58 tissues. Results: Among 2,262 differentially expressed genes discovered in UM samples differing in metastatic risk, 60 were epigenetic regulators, mostly histone modifiers and chromatin remodelers. 44,398 CpGs were differentially methylated, 27,810 hypomethylated, and 16,588 hypermethylated in high-risk tumors, with Δβ values ranging between -0.78 and 0.79. By integrative analysis, 944 differentially expressed DNA methylation-regulated genes were revealed, 635 hypomethylated/upregulated, and 309 hypermethylated/downregulated. Aberrant DNA methylation in high-risk tumors was associated with the deregulation of key oncogenic pathways such as EGFR tyrosine kinase inhibitor resistance, focal adhesion, proteoglycans in cancer, PI3K-Akt signaling, or ECM-receptor interaction. Notably, DNA methylation values of nine genes, HTR2B , AHNAK2, CALHM2, SLC25A38, EDNRB, TLR1, RNF43, IL12RB2 , and MEGF10, validated by pyrosequencing, demonstrated excellent risk group prediction accuracies (AUC ranging between 0.870 and 0.956). Moreover, CALHM2 hypomethylation and MEGF10, TLR1 hypermethylation, as well as two three-gene methylation signatures, Signature 1 combining A HNAK2, CALHM2, and IL12RB and Signature 2 A HNAK2, CALHM2, and SLC25A38 genes, correlated with shorter overall survival (HR = 4.38, 95% CI 1.30-16.41, HR = 5.59, 95% CI 1.30-16.41; HR = 3.43, 95% CI 1.30-16.41, HR = 4.61, 95% CI 1.30-16.41 and HR = 4.95, 95% CI 1.39-17.58, respectively). Conclusions: Our results demonstrate a significant role of DNA methylation aberrancy in UM progression. The advantages of DNA as a biological material and excellent prediction accuracies of methylation markers open the perspective for their more extensive clinical use.
Abstract Identifying novel epigenetic biomarkers is a promising way to improve the clinical management of patients with breast cancer. Our study aimed to determine the methylation pattern of 25 tumor suppressor genes (TSG) and select the best methylation biomarker associated with clinicopathological features in the cohort of Slovak patients diagnosed with invasive ductal carcinoma (IDC). Overall, 166 formalin-fixed, paraffin-embedded (FFPE) tissues obtained from patients with IDC were included in the study. The methylation status of the promoter regions of 25 TSG was analyzed using semiquantitative methylation-specific MLPA (MS-MLPA). We identified CDH13 as the most frequently methylated gene in our cohort of patients. Further analysis by ddPCR confirmed an increased level of methylation in the promoter region of CDH13 . A significant difference in CDH13 methylation levels was observed between IDC molecular subtypes LUM A versus HER2 ( P = 0.0116) and HER2 versus TNBC ( P = 0.0234). In addition, significantly higher methylation was detected in HER2+ versus HER2- tumors ( P = 0.0004) and PR− versus PR+ tumors ( P = 0.0421). Our results provide evidence that alteration in CDH13 methylation is associated with clinicopathological features in the cohort of Slovak patients with IDC. In addition, using ddPCR as a methylation-sensitive method represents a promising approach characterized by higher precision and technical simplicity to measure the methylation of target CpGs in CDH13 compared to other conventional methods such as MS-MLPA.
There is a great effort to connect the accumulation of 2-hydroxyglutarate (2-HG) oncometabolite with cellular onco-epigenetic status and subsequently predict the prognoses of glioma patients. In this observational study, the concentrations of D- and L- 2-HG were determined in 57 tumor tissue samples of glioma patients (n=57) WHO grade I through IV (astrocytoma, oligodendroglioma, secondary glioblastoma, and glioblastoma multiforme) in vitro. Also, genetic mutation status on isocitrate dehydrogenase 1 and 2 (IDH 1/2) was determined from these samples. The objective of this study was to confirm or to reject the hypothesis of the direct correlation of 2-HG concentration in tumor tissue and the results from IDH 1/IDH 2 point mutation analyses. The concentrations of 2-HG were quantified using high sensitive HPLC and Q-TOF HRMS spectrometer setup. Concurrently, the genetic mutation analyses of both IDH 1 (cytosolic) and IDH 2 (mitochondrial) were performed by the isolation of tumor tissue DNA, PCR amplification, and subsequent Sanger forward sequencing. Our results indicate that there is no definite correlation between the two as we identified cases of glioma tumors with significantly increased concentration of one or both L- and D- 2-HG but no IDH 1/2 mutations (44% 2-HG positive cases).
In colorectal cancer (CRC), clinically relevant biomarkers are known for genome-guided therapy that can be detected by both first and next generation methods. The aim of our work was to introduce a robust NGS assay that will be able to detect, in addition to standard predictive single nucleotide-based biomarkers, even rare and concomitant clinically relevant variants. Another aim was to identify truncating mutations in APC and pathogenic variants in TP53 to divide patients into potentially prognostic groups. A multigene panel with hotspots in 50 cancer-critical genes was used. Finally, 86 patients diagnosed with primary or metastatic colorectal cancer were enrolled. In total, there were identified 163 pathogenic variants, among them in the genes most recurrent mutated in CRC such as TP53 (49%), the RAS family genes KRAS and NRAS (47%), APC (43%), and PIK3CA (15%). In 30 samples, two driver mutations were present in one sample, 11 patients were without any mutations covered by this panel. In one patient, a novel variant in BRAF p.D594E was found, not previously seen in CRC, and was concomitant with KRAS p.G12A. In KRAS, a potentially sensitive mutation to anti-EGFR therapy p.A59T was found along with the PIK3CA missense variant p.E545K. It was possible to divide patients into groups based on the occurrence of truncating APC variant alone or concomitant with TP53 or KRAS. Our results demonstrate the potential of small multigene panels that can be used in diagnostics for the detection of rare therapeutically relevant variants. Moreover, the division of patients into groups based on the presence of APC and TP53 mutations enables this panel to be used in retrospective studies on the effectiveness of treatment with anti-EGFR inhibitors.
The aim of our study was to investigate possible associations between three SNPs: rs4673 in the CYBA gene; rs1041740 in the SOD1 gene; and rs1001179 in the CAT gene, and type 1 diabetes (T1D) or diabetic peripheral neuropathy (DPN) in T1D patients.Allelic variants of the selected SNPs were determined by allelic discrimination assays in 114 T1D patients enrolled in the study group and in 90 healthy individuals from a control group. Associations between each of the three SNPs were tested in subgroups of T1D patients divided according to the presence of DPN.The TT genotype of rs4673 in the CYBA gene was associated with DPN in T1D patients (OR 4.997, 95% CI 1.403-19.083, p = 0.016). Weak significance was observed for a protective effect of the TT genotype of rs1041740 in the SOD1 gene relative to T1D development (OR 0.318, 95% CI 0.092-0.959, p = 0.056). There was no significant association between the CAT gene SNP rs1001179 and T1D or DPN.We showed a strong association of the CYBA polymorphism rs4673 with DPN in Slovak children and adolescents with T1D. Further studies are necessary to assess the relationship between rs1041740 and T1D or DPN.
Colorectal cancer (CRC) can develop through several dysregulated molecular pathways, including the serrated pathway, characterized by CpG island methylator (CIMP) phenotype. Although the tumor tissue is a commonly tested material, sample types such as stool or plasma, bring a new, non-invasive approach. Several cancer-related methylated genes have been identified in CRC patients, including gene GRIA4, showing promising diagnostic potential. The aim of our study was to develop a sensitive droplet digital PCR (ddPCR) assay to examine GRIA4 hypermethylation status in CRC patients and evaluate its diagnostic potential in tissue and liquid biopsy samples.In total, 23 patients participated in this study, 7 patients with primary CRC and 16 patients with liver metastasis of clinically known CRC. We obtained tumor and non-tumor tissues (N=17), blood samples pre- and post-surgery (N=22), and blood of five volunteers without a personal cancer history. We have developed and optimized a ddPCR assay for GRIA4 hypermethylation detection, from tissue and plasma samples.We detected significantly increased GRIA4 methylation in tumor tissues compared to their adjacent non-tumor tissue, p<0.0001. Receiver operating characteristic (ROC) analysis defined cutoff values to separate primary tumors and metastases from non-tumor colon/rectum, specifically 36.85% for primary tumors and 34.81% for metastases. All primary tumors were above this threshold. When comparing the methylation levels of metastatic vs. non-tumor tissue, a smaller increase was observed in liver metastasis versus colon tissue (3.6× gain; p=0.001), then in liver metastasis versus adjacent liver tissue (17.4× gain; p<0.0001). On average, GRIA4 hypermethylation in primary tumor plasma was 2.8-fold higher (p=0.39), and in metastatic plasma, 16.4-fold higher (p=0.0011) compared to healthy individuals. Hypermethylation in metastatic plasma was on average 5.9 times higher (p=0.051) than in primary tumor plasma. After tumor removal surgery, average hypermethylation decrease in plasma was 1.6× for primary (p=0.037) and 4.5× for metastatic patients (p=0.023).Based on our data, it can be inferred that GRIA4 serves as a tissue specific biomarker for the colon/rectum tissue, thus is suitable for cancer classification. This biomarker showed the potential to be an attractive target for early non-invasive detection of metastases of clinically known CRC, although additional analysis has to be performed.
Abstract Background: Despite outstanding advances in understanding the genetic background of uveal melanoma (UM) development and prognosis, the role of DNA methylation reprogramming remains elusive. This study aims to clarify the extent of DNA methylation deregulation in the context of gene expression changes and its utility as a reliable prognostic biomarker. Methods: Transcriptomic and DNA methylation landscapes in 25 high- and low-risk UMs were interrogated by Agilent SurePrint G3 Human Gene Expression 8×60K v2 Microarray and Human Infinium Methylation EPIC Bead Chip array, respectively. DNA methylation and gene expression of the nine top discriminatory genes, selected by the integrative analysis, were validated by pyrosequencing and qPCR in 58 tissues. Results: Among 2,262 differentially expressed genes discovered in UM samples differing in metastatic risk, 60 were epigenetic regulators, mostly histone modifiers and chromatin remodelers. A total of 44,398 CpGs were differentially methylated, 27,810 hypomethylated, and 16,588 hypermethylated in high-risk tumors, with Δβ values ranging between -0.78 and 0.79. By integrative analysis, 944 differentially expressed DNA methylation-regulated genes were revealed, 635 hypomethylated/upregulated, and 309 hypermethylated/downregulated. Aberrant DNA methylation in high-risk tumors was associated with the deregulation of key oncogenic pathways such as EGFR tyrosine kinase inhibitor resistance, focal adhesion, proteoglycans in cancer, PI3K-Akt signaling, or ECM-receptor interaction. Notably, the DNA methylation values of nine genes, HTR2B , AHNAK2, CALHM2, SLC25A38, EDNRB, TLR1, RNF43, IL12RB2 , and MEGF10, validated by pyrosequencing, demonstrated excellent risk group prediction accuracies (AUCs ranging between 0.870 and 0.956). Moreover, CALHM2 hypomethylation and MEGF10, TLR1 hypermethylation, as well as two three-gene methylation signatures, Signature 1 combining A HNAK2, CALHM2, and IL12RB and Signature 2 A HNAK2, CALHM2, and SLC25A38 genes, correlated with shorter overall survival (HR = 4.38, 95% CI 1.30-16.41, HR = 5.59, 95% CI 1.30-16.41; HR = 3.43, 95% CI 1.30-16.41, HR = 4.61, 95% CI 1.30-16.41 and HR = 4.95, 95% CI 1.39-17.58, respectively). Conclusions: Our results demonstrate a significant role of DNA methylation aberrancy in UM progression. The advantages of DNA as a biological material and the excellent prediction accuracies of methylation markers open the perspective for their more extensive clinical use.