DNA Methylation loss coupled with mitotic cell division promotes immune evasion of tumours with high mutation load
Mitotic cell division increases tumour mutation burden and copy number load with a positive and inverse correlation, respectively, with the clinical benefit of immunotherapy. Markers of cell division correlate also with genomic demethylation involving methylation loss in late-replicating partial methylation domains. Here we find that immunomodulatory pathway genes are concentrated in these domains and transcriptionally repressed in demethylated tumours with CpG island promoter hypermethylation. Global methylation loss correlated with immune evasion signatures independently of mutation burden and aneuploidy. Methylome data of our cohort (n = 60) and a published cohort (n = 81) in lung cancer and a melanoma cohort (n = 40) consistently demonstrated that genomic methylation alterations counteract the contribution of high mutation burden and increase immunotherapeutic resistance. Higher predictive power was observed for methylation loss than mutation burden. We also found that genomic hypomethylation correlates with the immune escape signatures of aneuploid tumours. Hence, DNA methylation alterations implicate epigenetic modulation as a combination regimens for precision immunotherapy.
- Type: Other
- Archiver: European Genome-Phenome Archive (EGA)
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
Dataset ID | Description | Technology | Samples |
---|---|---|---|
EGAD00001005211 | Illumina HiSeq 2500 | 294 | |
EGAD00001005227 | Illumina HiSeq 2500 | 120 |
Publications | Citations |
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DNA methylation loss promotes immune evasion of tumours with high mutation and copy number load.
Nat Commun 10: 2019 4278 |
250 |
Genome-wide methylation patterns predict clinical benefit of immunotherapy in lung cancer.
Clin Epigenetics 12: 2020 119 |
48 |
A Combination of Biomarkers Predict Response to Immune Checkpoint Blockade Therapy in Non-Small Cell Lung Cancer.
Front Immunol 12: 2021 813331 |
6 |
A novel integrated approach to predicting cancer immunotherapy efficacy.
Oncogene 42: 2023 1913-1925 |
5 |