{"doi":"10.1172/jci157248","title":"Breast cancer cell–derived microRNA-155 suppresses tumor progression via enhancing immune cell recruitment and antitumor function","abstract":"Evidence suggests that increased microRNA-155 (miR-155) expression in immune cells enhances antitumor immune responses. However, given the reported association of miR-155 with tumorigenesis in various cancers, a debate is provoked on whether miR-155 is oncogenic or tumor suppressive. We aimed to interrogate the impact of tumor miR-155 expression, particularly that of cancer cell-derived miR-155, on antitumor immunity in breast cancer. We performed bioinformatic analysis of human breast cancer databases, murine experiments, and human specimen examination. We revealed that higher tumor miR-155 levels correlate with a favorable antitumor immune profile and better patient outcomes. Murine experiments demonstrated that miR-155 overexpression in breast cancer cells enhanced T cell influx, delayed tumor growth, and sensitized the tumors to immune checkpoint blockade (ICB) therapy. Mechanistically, miR-155 overexpression in breast cancer cells upregulated their CXCL9/10/11 production, which was mediated by SOCS1 inhibition and increased phosphorylated STAT1 (p-STAT1)/p-STAT3 ratios. We further found that serum miR-155 levels in breast cancer patients correlated with tumor miR-155 levels and tumor immune status. Our findings suggest that high serum and tumor miR-155 levels may be a favorable prognostic marker for breast cancer patients and that therapeutic elevation of miR-155 in breast tumors may improve the efficacy of ICB therapy via remodeling the antitumor immune landscape.","journal":"Journal of Clinical Investigation","year":2022,"id":235191,"datarank":0.6663976884735476,"base_score":4.442651256490317,"endowment":4.442651256490317,"self_citation_contribution":0.6663976884735476,"citation_network_contribution":0.0,"self_endowment_contribution":0.6663976884735476,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":84,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9512,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":106031,"name":"Quanyi Wang","orcid":"0000-0001-9552-2503","position":1,"is_corresponding":false},{"id":853785,"name":"Yinan Guan","orcid":null,"position":2,"is_corresponding":false},{"id":852797,"name":"Yulu Sun","orcid":"0000-0002-9625-5782","position":3,"is_corresponding":false},{"id":852798,"name":"Xiaozhi Wang","orcid":"0000-0002-4290-9023","position":4,"is_corresponding":false},{"id":853786,"name":"Kaylie Lively","orcid":null,"position":5,"is_corresponding":false},{"id":457323,"name":"Yuzhen Wang","orcid":"0000-0002-7544-7937","position":6,"is_corresponding":false},{"id":457325,"name":"Ming Luo","orcid":"0000-0003-1766-3487","position":7,"is_corresponding":false},{"id":853787,"name":"Julian A. Kim","orcid":null,"position":8,"is_corresponding":false},{"id":318652,"name":"E. Angela Murphy","orcid":"0000-0002-4803-5822","position":9,"is_corresponding":false},{"id":853788,"name":"Yongzhong Yao","orcid":null,"position":10,"is_corresponding":false},{"id":232199,"name":"Guoshuai Cai","orcid":"0000-0002-5331-1297","position":11,"is_corresponding":false},{"id":396954,"name":"Daping Fan","orcid":"0000-0002-4729-761X","position":12,"is_corresponding":false},{"id":852796,"name":"Junfeng Wang","orcid":"0000-0001-6702-5366","position":0,"is_corresponding":true}],"reference_count":57,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T00:21:48.116752Z","pmid":"35925680","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":[]}