Associations between DNA methylation and cognitive function in early-stage hormone receptor-positive breast cancer patients
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View abstract on PubMed
Summary
This summary is machine-generated.Cognitive function (CF) deficits affect many breast cancer (BC) patients. This study identified DNA methylation changes in genes like CTNND2 and MLIP linked to BC-related cognitive changes, suggesting estrogen
Area Of Science
- Genomics
- Epigenetics
- Neuroscience
Background
- Cognitive function (CF) deficits are prevalent in breast cancer (BC) patients prior to adjuvant therapy.
- Biological mechanisms underlying CF variations in BC patients are not well understood.
- Hormone receptor-positive (HR+) early-stage BC patients exhibit poorer CF compared to healthy controls.
Purpose Of The Study
- To identify genes and biological pathways associated with CF in postmenopausal women with early-stage HR+ BC.
- To investigate the role of DNA methylation (DNAm) in regulating gene activity related to CF.
- To explore potential upstream regulators of CF variations in BC survivors.
Main Methods
- Epigenome-wide association studies (EWAS) were conducted on DNAm data from whole blood samples (n=109).
- Analyses focused on eight CF phenotypes (seven objective, one subjective).
- Post-EWAS functional analyses were performed to understand the significance of identified CpG sites.
Main Results
- Two epigenome-wide significant DNAm signals were identified: cg10331779 near CTNND2 associated with processing speed and cg25906741 in MLIP associated with subjective CF.
- Differentially methylated regions were found associated with processing speed and mental flexibility.
- Beta-estradiol was identified as a common upstream regulator for all investigated CF phenotypes.
Conclusions
- The study identified specific DNAm sites (cg10331779 near CTNND2, cg25906741 in MLIP) linked to processing speed and subjective CF in HR+ BC patients.
- Estrogen signaling plays a crucial role in mediating cognitive variations in this patient group.
- Further validation in larger cohorts is necessary to confirm these findings.
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