Comprehensive characterization of the epigenetic landscape in Multiple Myeloma

多发性骨髓瘤表观遗传学特征的综合表征

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作者:Elina Alaterre, Sara Ovejero, Laurie Herviou, Hugues de Boussac, Giorgio Papadopoulos, Marta Kulis, Stéphanie Boireau, Nicolas Robert, Guilhem Requirand, Angélique Bruyer, Guillaume Cartron, Laure Vincent, Anne Marie Martinez, José Ignacio Martin-Subero, Giacomo Cavalli, Jerome Moreaux

Background

Human multiple myeloma (MM) cell lines (HMCLs) have been widely used to understand the molecular processes that drive MM biology. Epigenetic modifications are involved in MM development, progression, and drug resistance. A comprehensive characterization of the epigenetic landscape of MM would advance our understanding of MM pathophysiology and may attempt to identify new therapeutic targets.

Conclusions

The epigenetic landscape of MM cells represents a unique resource for future biological studies. Furthermore, risk-scores based on SE and repressive regions together with epigenetic biomarkers of drug response could represent new tools for precision medicine in MM.

Methods

We performed chromatin immunoprecipitation sequencing to analyze histone mark changes (H3K4me1, H3K4me3, H3K9me3, H3K27ac, H3K27me3 and H3K36me3) on 16 HMCLs.

Results

Differential analysis of histone modification profiles highlighted links between histone modifications and cytogenetic abnormalities or recurrent mutations. Using histone modifications associated to enhancer regions, we identified super-enhancers (SE) associated with genes involved in MM biology. We also identified promoters of genes enriched in H3K9me3 and H3K27me3 repressive marks associated to potential tumor suppressor functions. The prognostic value of genes associated with repressive domains and SE was used to build two distinct scores identifying high-risk MM patients in two independent cohorts (CoMMpass cohort; n = 674 and Montpellier cohort; n = 69). Finally, we explored H3K4me3 marks comparing drug-resistant and -sensitive HMCLs to identify regions involved in drug resistance. From these data, we developed epigenetic biomarkers based on the H3K4me3 modification predicting MM cell response to lenalidomide and histone deacetylase inhibitors (HDACi). Conclusions: The epigenetic landscape of MM cells represents a unique resource for future biological studies. Furthermore, risk-scores based on SE and repressive regions together with epigenetic biomarkers of drug response could represent new tools for precision medicine in MM.

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