{"doi":"10.1182/blood.2020006908","title":"Harnessing lymphoma epigenetics to improve therapies","abstract":"Affinity maturation and terminal differentiation of B-cells via the germinal center reaction is a complex multi-step process controlled by transcription factors that induce or suppress large dynamic transcriptional programs. This occurs via the recruitment of co-activator or co-repressor complexes that epigenetically regulate gene expression by post-translationally modifying histones and/or remodeling chromatin structure. B-cell-intrinsic developmental programs both regulate and respond to interactions with other cells in the germinal center that provide survival and differentiation signals, such as T follicular helper cells and follicular dendritic cells. Epigenetic and transcriptional programs that naturally occur during B-cell development are hijacked in B-cell lymphoma by genetic alterations that directly or indirectly change the function of transcription factors and/or chromatin modifying genes. These in turn skew differentiation towards the tumor cell-of-origin and alter interactions between lymphoma B-cells and other cells within the microenvironment. Understanding the mechanisms by which genetic alterations perturb epigenetic and transcriptional programs regulating B-cell development and immune interactions may identify opportunities to target these programs using epigenetic modifying agents. Here, we discuss recently published studies centered on follicular lymphoma (FL) and diffuse large B-cell lymphoma (DLBCL) within the context of prior knowledge, and highlight how these insights have informed potential avenues for rational therapeutic interventions.","journal":"Blood","year":2020,"id":109799,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":8,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9535,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":17225,"name":"Michael R. Green","orcid":"0000-0001-6309-9472","position":1,"is_corresponding":false},{"id":255857,"name":"Haopeng Yang","orcid":"0000-0002-3870-2679","position":0,"is_corresponding":true}],"reference_count":39,"raw_metadata":null,"created_at":"2026-07-18T23:12:54.309019Z","pmid":"33206943","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}