{"doi":"10.1038/s42003-024-06520-y","title":"A-to-I RNA co-editing predicts clinical outcomes and is associated with immune cells infiltration in hepatocellular carcinoma","abstract":"Aberrant RNA editing has emerged as a pivotal factor in the pathogenesis of hepatocellular carcinoma (HCC), but the impact of RNA co-editing within HCC remains underexplored. We used a multi-step algorithm to construct an RNA co-editing network in HCC, and found that HCC-related RNA editings are predominantly centralized within the network. Furthermore, five pairs of risk RNA co-editing events were significantly correlated with the overall survival in HCC. Based on presence of risk RNA co-editings resulted in the categorization of HCC patients into high-risk and low-risk groups. Disparities in immune cell infiltrations were observed between the two groups, with the high-risk group exhibiting a greater abundance of exhausted T cells. Additionally, seven genes associated with risk RNA co-editing pairs were identified, whose expression effectively differentiates HCC tumor samples from normal ones. Our research offers an innovative perspective on the etiology and potential therapeutics for HCC.","journal":"Communications Biology","year":2024,"id":445033,"datarank":0.31191623125197543,"base_score":2.0794415416798357,"endowment":2.0794415416798357,"self_citation_contribution":0.31191623125197543,"citation_network_contribution":0.0,"self_endowment_contribution":0.31191623125197543,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":7,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9476,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1260927,"name":"Chenghui Zhang","orcid":"0000-0002-4488-8668","position":1,"is_corresponding":false},{"id":506744,"name":"Tao Tao","orcid":"0000-0003-4066-8171","position":2,"is_corresponding":false},{"id":678560,"name":"Xian Zhang","orcid":"0000-0001-9156-9742","position":3,"is_corresponding":false},{"id":711437,"name":"Yan Lin","orcid":"0000-0003-4384-8354","position":4,"is_corresponding":false},{"id":1261443,"name":"Fang-Bin Wang","orcid":null,"position":5,"is_corresponding":false},{"id":1261444,"name":"Haifa Liu","orcid":null,"position":6,"is_corresponding":false},{"id":604648,"name":"Jian Liu","orcid":"0000-0002-3220-1240","position":7,"is_corresponding":false},{"id":1260926,"name":"Juan Chen","orcid":"0009-0000-3141-8491","position":0,"is_corresponding":true}],"reference_count":47,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T02:01:42.089235Z","pmid":"38982182","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":[]}