Methylation alteration of SHANK1 as a predictive, diagnostic and prognostic biomarker for chronic lymphocytic leukemia (original) (raw)
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Oncotarget
Chronic lymphocytic leukemia (CLL) is a clinically heterogeneous disease characterized by the clonal expansion of malignant B cells. To predict the clinical course of the disease, the identification of diagnostic biomarkers is urgently needed. Aberrant methylation patterns may predict CLL development and its course, being very early changes during carcinogenesis. Our aim was to identify CLL specific methylation patterns and to evaluate whether methylation aberrations in selected genes are associated with changes in gene expression. Here, by performing a genome-wide methylation analysis, we identified several CLL-specific methylation alterations. We focused on the most altered one, at a CpG island located in the body of SHANK1 gene, in our CLL cases compared to healthy controls. This methylation alteration was successfully validated in a larger cohort including 139 CLL and 20 control in silico samples. We also found a positive correlation between SHANK1 methylation level and absolute lymphocyte count, in particular CD19+ B cells, in CLL patients. Moreover, we were able to detect gains of methylation at SHANK1 in blood samples collected years prior to diagnosis. Overall, our results suggest methylation alteration at this SHANK1 CpG island as a biomarker for risk and diagnosis of CLL, and also in the personalized quantification of tumor aggressiveness.
BMC Genomics
Background: B-cell chronic lymphocytic leukemia (CLL) is a common type of adult leukemia. It often follows an indolent course and is preceded by monoclonal B-cell lymphocytosis, an asymptomatic condition, however it is not known what causes subjects with this condition to progress to CLL. Hence the discovery of prediagnostic markers has the potential to improve the identification of subjects likely to develop CLL and may also provide insights into the pathogenesis of the disease of potential clinical relevance. Results: We employed peripheral blood buffy coats of 347 apparently healthy subjects, of whom 28 were diagnosed with CLL 2.0-15.7 years after enrollment, to derive for the first time genome-wide DNA methylation, as well as gene and miRNA expression, profiles associated with the risk of future disease. After adjustment for white blood cell composition, we identified 722 differentially methylated CpG sites and 15 differentially expressed genes (Bonferroni-corrected p < 0.05) as well as 2 miRNAs (FDR < 0.05) which were associated with the risk of future CLL. The majority of these signals have also been observed in clinical CLL, suggesting the presence in prediagnostic blood of CLL-like cells. Future CLL cases who, at enrollment, had a relatively low B-cell fraction (<10%), and were therefore less likely to have been suffering from undiagnosed CLL or a precursor condition, showed profiles involving smaller numbers of the same differential signals with intensities, after adjusting for B-cell content, generally smaller than those observed in the full set of cases. A similar picture was obtained when the differential profiles of cases with time-to-diagnosis above the overall median period of 7.4 years were compared with those with shorted time-to-disease. Differentially methylated genes of major functional significance include numerous genes that encode for transcription factors, especially members of the homeobox family, while differentially expressed genes include, among others, multiple genes related to WNT signaling as well as the miRNAs miR-150-5p and miR-155-5p.
Distinct patterns of global promoter methylation in early stage chronic lymphocytic leukemia
Genes, Chromosomes and Cancer, 2014
Genomic and epigenomic studies of chronic lymphocytic leukemia (CLL) are reshaping our understanding of the disease and have provided new perspectives for a more individualized diagnosis and new potential therapeutic targets. In this study, the global promoter methylation profile was determined in highly purified B-cells from 37 (Binet stage A) CLL patients, using high-resolution methylation microarrays (27,578 CpG). Overall, the methylation pattern correlated with the major biological (ZAP-70 and CD38), and molecular (IGHV mutation) markers, distinguishing CLL cases according to IGHV mutational status. Cell adhesion molecules were enriched in the signature of unmutated (UM) versus mutated (M-) CLL. Moreover, in M-CLL CpG hyper-methylation in three genes, including SPG20, was significantly anti-correlated with the corresponding gene expression level. Finally, the correlation between the methylation pattern and clinical parameters was investigated. Notably, out of 42 methyl-probes that were significantly associated with progression free survival (PFS), hyper-methylation of SPG20 was also positively associated with PFS. These data support the notion that epigenetic changes have clinical impact in CLL and may contribute to the identification of novel candidate disease-associated genes potentially useful to predict the clinical outcome of early stage CLL patients. in Wiley Online Library (wileyonlinelibrary.com).
Clinical epigenetics, 2017
In chronic lymphocytic leukemia (CLL), epigenomic and genomic studies have expanded the existing knowledge about the disease biology and led to the identification of potential biomarkers relevant for implementation of personalized medicine. In this study, an attempt has been made to examine and integrate the global DNA methylation changes with gene expression profile and their impact on clinical outcome in early stage CLL patients. The integration of DNA methylation profile (n = 14) with the gene expression profile (n = 21) revealed 142 genes as hypermethylated-downregulated and; 62 genes as hypomethylated-upregulated in early stage CLL patients compared to CD19+ B-cells from healthy individuals. The mRNA expression levels of 17 genes identified to be differentially methylated and/or differentially expressed was further examined in early stage CLL patients (n = 93) by quantitative real time PCR (RQ-PCR). Significant differences were observed in the mRNA expression of MEIS1, PMEPA1, ...
Epigenetic Profiling in Chronic Lymphocytic Leukemia Reveals Novel Methylation Targets
2004
CpG island methylation is an epigenetic alteration that contributes to tumorigenesis by transcriptional inactivation of genes. Little is known about the overall levels of CpG island methylation in chronic lymphocytic leukemia (CLL). To provide a baseline estimate of global aberrant methylation and identify target sequences for additional investigation, we performed Restriction Landmark Genomic Scanning on 10 CLL samples. Two methylation-sensitive landmark enzymes were used (NotI and AscI), allowing assessment of over 3000 CpG islands in each sample. Tumorderived Restriction Landmark Genomic Scanning profiles were compared with profiles from CD19-selected B cells from normal volunteers and matched normal neutrophils from 4 CLL patients. We found 2.5-8.1% (mean 4.8%) of the CpG islands in CLL samples were aberrantly methylated compared with controls, and the methylation events had a nonrandom distribution (P < 0.0001). Furthermore, we identified 193 aberrantly methylated sequences, of which 93% have CpG island characteristics and 90% have homology to genes or expressed sequences. One such gene, the G protein-coupled metabotropic glutamate receptor 7 (GRM7), possibly inhibits cyclic AMP signaling in the induction of apoptosis. Bisulfite sequencing of GRM7 confirmed extensive CpG island methylation, and treatment with 5-aza-2-deoxycytidine (decitabine) resulted in up-regulated expression of several genes in vitro with concurrent cellular depletion of DNMT1 protein. Our dual-enzyme global methylation study shows that CLL is characterized by widespread nonrandom CpG island methylation similar to other tumors and provides a panel of novel methylation targets that can be used in larger studies designed to assess impact on disease progression and survival.
Cancer cell, 2014
Intratumoral heterogeneity plays a critical role in tumor evolution. To define the contribution of DNA methylation to heterogeneity within tumors, we performed genome-scale bisulfite sequencing of 104 primary chronic lymphocytic leukemias (CLLs). Compared with 26 normal B cell samples, CLLs consistently displayed higher intrasample variability of DNA methylation patterns across the genome, which appears to arise from stochastically disordered methylation in malignant cells. Transcriptome analysis of bulk and single CLL cells revealed that methylation disorder was linked to low-level expression. Disordered methylation was further associated with adverse clinical outcome. We therefore propose that disordered methylation plays a similar role to that of genetic instability, enhancing the ability of cancer cells to search for superior evolutionary trajectories.
Cancer research, 2007
This study examined DNA methylation associated with acute lymphoblastic leukemia (ALL) and showed that selected molecular targets can be pharmacologically modulated to reverse gene silencing. A CpG island (CGI) microarray containing more than 3,400 unique clones that span all human chromosomes was used for large-scale discovery experiments and led to 262 unique CGI loci being statistically identified as methylated in ALL lymphoblasts. The methylation status of 10 clones encompassing 11 genes (DCC, DLC-1, DDX51, KCNK2, LRP1B, NKX6-1, NOPE, PCDHGA12, RPIB9, ABCB1, and SLC2A14) identified as differentially methylated between ALL patients and controls was independently verified. Consequently, the methylation status of DDX51 was found to differentiate patients with Band TALL subtypes (P = 0.011, Fisher's exact test). Next, the relationship between methylation and expression of these genes was examined in ALL cell lines (NALM-6 and Jurkat) before and after treatments with 5-aza-2-deoxycytidine and trichostatin A. More than a 10-fold increase in mRNA expression was observed for two previously identified tumor suppressor genes (DLC-1 and DCC) and also for RPIB9 and PCDHGA12. Although the mechanisms that lead to the CGI methylation of these genes are unknown, bisulfite sequencing of the promoter of RPIB9 suggests that expression is inhibited by methylation within SP1 and AP2 transcription factor binding motifs. Finally, specific chromosomal methylation hotspots were found to be associated with ALL. This study sets the stage for acquiring a better biological understanding of ALL and for the identification of epigenetic biomarkers useful for differential diagnosis, therapeutic monitoring, and the detection of leukemic relapse.
Nature genetics, 2016
Charting differences between tumors and normal tissue is a mainstay of cancer research. However, clonal tumor expansion from complex normal tissue architectures potentially obscures cancer-specific events, including divergent epigenetic patterns. Using whole-genome bisulfite sequencing of normal B cell subsets, we observed broad epigenetic programming of selective transcription factor binding sites coincident with the degree of B cell maturation. By comparing normal B cells to malignant B cells from 268 patients with chronic lymphocytic leukemia (CLL), we showed that tumors derive largely from a continuum of maturation states reflected in normal developmental stages. Epigenetic maturation in CLL was associated with an indolent gene expression pattern and increasingly favorable clinical outcomes. We further uncovered that most previously reported tumor-specific methylation events are normally present in non-malignant B cells. Instead, we identified a potential pathogenic role for tra...