Unveiling the epigenomic mechanisms of acquired platinum-resistance in high-grade serous ovarian cancer.
Romina SilvaKate GlennonMichael MetoudiBruce MoranSofia SaltaKaren SlatteryAnn TreacyTerri MartinJacqui ShawPeter DoranLydia LynchCarmen JerónimoAntoinette S PerryDonal J BrennanPublished in: International journal of cancer (2023)
Resistance to platinum-based chemotherapy is the major cause of death from high-grade serous ovarian cancer (HGSOC). We hypothesize that detection of specific DNA methylation changes may predict platinum resistance in HGSOC. Using a publicly available "discovery" dataset we examined epigenomic and transcriptomic alterations between primary platinum-sensitive (n = 32) and recurrent acquired drug resistant HGSOC (n = 28) and identified several genes involved in immune and chemoresistance-related pathways. Validation via high-resolution melt analysis of these findings, in cell lines and HGSOC tumours, demonstrated the most consistent changes were observed in three of the genes: APOBEC3A, NKAPL and PDCD1. Plasma samples from an independent HGSOC cohort (n = 17) were analysed using droplet digital PCR. Hypermethylation of NKAPL was detected in 46% and hypomethylation of APOBEC3A in 69% of plasma samples taken from women with relapsed HGSOC (n = 13), with no alterations identified in disease-free patients (n = 4). Following these results, and using a CRISPR-Cas9 approach, we were also able to demonstrate that in vitro NKAPL promoter demethylation increased platinum sensitivity by 15%. Overall, this study demonstrates the importance of aberrant methylation, especially of the NKAPL gene, in acquired platinum resistance in HGSOC. This article is protected by copyright. All rights reserved.
Keyphrases
- high grade
- drug resistant
- dna methylation
- low grade
- genome wide
- crispr cas
- high resolution
- multidrug resistant
- acinetobacter baumannii
- end stage renal disease
- high throughput
- single cell
- newly diagnosed
- ejection fraction
- small molecule
- genome editing
- transcription factor
- squamous cell carcinoma
- mass spectrometry
- prognostic factors
- acute myeloid leukemia
- copy number
- genome wide identification
- multiple myeloma
- sensitive detection
- genome wide analysis
- drug induced