Dataset Information

Investigation of Measurable Residual Disease in Acute Myeloid Leukemia by DNA Methylation Patterns

ABSTRACT: Assessment of measurable residual disease (MRD) upon treatment of acute myeloid leukemia (AML) remains a challenge. It is usually addressed by highly sensitive PCR-based screening of disease-specific mutations or multiparametric flow cytometry. However, not all patients have suitable mutations to track the disease and heterogeneity of applied surface markers hampers standardization in clinical routine. In this study, we propose an alternative approach to estimate MRD based on AML-associated DNA methylation (DNAm) patterns. We identified four CG dinucleotides (CpGs) that commonly reveal aberrant DNAm in AML and their combination could reliably discern healthy and AML samples. Interestingly, many of these aberrations are shown to affect both alleles. Using bisulfite amplicon sequencing (BA-seq), we captured local DNAm patterns flanking these AML associated CpGs, and trained shallow-learning and deep-learning algorithms to identify anomalous, non healthy DNAm patterns within the amplicons. The method was then tested on follow-up samples with and without MRD status. Notably, many MRD negative samples revealed higher anomaly ratios than healthy controls. Our results demonstrate that targeted DNAm analysis facilitates reliable discrimination of malignant and healthy samples. However, even after successful treatment aberrant DNAm patterns persist in some samples that were classified as MRD negative.

ORGANISM(S): Homo sapiens

PROVIDER: GSE166264 | GEO | 2021/06/16

REPOSITORIES: GEO

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Project description:Background: It is well-established that cancer treatment substantially increases risk of long-term adverse health outcomes among childhood cancer survivors. However, there is limited research on the underlying mechanisms. To elucidate the pathophysiology and a possible causal pathway from treatment exposures to cardiometabolic conditions, we conducted epigenome-wide association studies (EWAS) to identify DNA methylation (DNAm) sites associated with cancer treatment exposures and examined whether treatment-associated DNAm sites mediate associations between specific treatments and cardiometabolic conditions. Methods: We included 2,052 survivors (median age 33.7 years) of European ancestry from the St. Jude Lifetime Cohort Study, a retrospective hospital-based study with prospective clinical follow-up. Cumulative doses of chemotherapy and region-specific radiation were abstracted from medical records. Seven cardiometabolic conditions were clinically assessed. DNAm profile was measured using MethylationEPIC BeadChip with blood-derived DNA. Results: By performing multiple treatment-specific EWAS, we identified 935 5’-cytosine-phosphate-guanine-3′ (CpG) sites mapped to 538 genes/regions associated with one or more cancer treatments at epigenome-wide significance level (P<9×10-8). Among the treatment-associated CpGs, 8 were associated with obesity, 63 with hypercholesterolemia, and 17 with hypertriglyceridemia (False-Discovery-Rate-Adjusted P<0.05). We observed substantial mediation by methylation at four independent CpGs (cg06963130, cg21922478, cg22976567, cg07403981) for association between abdominal field radiotherapy (abdominal-RT) and risk of hypercholesterolemia (70.3%) and by methylation at three CpGs (cg19634849, cg13552692, cg09853238) for association between abdominal-RT and hypertriglyceridemia (54.6%). In addition, three CpGs (cg26572901, cg12715065, cg21163477) partially mediated the association between brain-RT and obesity with 32.9% mediation effect and two CpGs mediated the association between corticosteroids and obesity (cg22351187, 14.2%) and between brain-RT and hypertriglyceridemia (cg13360224, 10.5%). Notably, several mediator CpGs reside in the proximity of well-established dyslipidemia genes: cg21922478 (ITGA1) and cg22976567 (LMNA). Conclusions: In childhood cancer survivors, cancer treatment exposures are associated with DNAm patterns present decades following the exposure. Treatment-associated DNAm sites may mediate the causal pathway from specific treatment exposures to certain cardiometabolic conditions, suggesting the utility of DNAm sites as risk predictors and potential mechanistic targets for future intervention studies.

Dataset Information

Investigation of Measurable Residual Disease in Acute Myeloid Leukemia by DNA Methylation Patterns

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