{"doi":"10.1002/hed.27859","title":"Outcomes of <scp>SMARCB1</scp>‐deficient sinonasal carcinoma: Largest single‐center cross‐sectional study","abstract":"BACKGROUND: We evaluate outcomes of SMARCB1-deficient sinonasal carcinomas in the largest single-institution study. METHODS: Retrospective cross-sectional study of patients with SMARCB1-deficient sinonasal carcinoma between 1998 and 2024. Disease-specific survival (DSS) and recurrence-free probability (RFP) at 1 and 5 years were measured by Kaplan-Meier method. RESULTS: There were 47 patients with a median age of 53. Initial pathological diagnosis was altered in 33%. Twelve (34%) patients received neoadjuvant chemotherapy, with one partial response. Curative surgical approach was undertaken in 73%. Definitive chemoradiation was administered in 20%. DSS at 1 and 5 years was 93% and 45%, respectively. RFP at 1 and 5 years was 73% and 33%, respectively. On multivariate analysis, cranial nerve involvement (p = 0.01 for DSS) remained significantly worse for DSS and overall survival. CONCLUSIONS: SMARCB1-deficient tumors had limited response to neoadjuvant chemotherapy. Cranial nerve involvement was associated with worse prognosis. Optimal treatment is unclear. Surgery should be offered to patients with resectable disease.","journal":"Head & Neck","year":2024,"id":447161,"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":0.5636,"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":1099019,"name":"Daniel W. Scholfield","orcid":null,"position":1,"is_corresponding":false},{"id":257136,"name":"Lucas Axiotakis","orcid":null,"position":2,"is_corresponding":false},{"id":770237,"name":"Conall Fitzgerald","orcid":"0000-0003-4700-7261","position":3,"is_corresponding":false},{"id":560720,"name":"Dauren Adilbay","orcid":"0000-0002-5555-2019","position":4,"is_corresponding":false},{"id":385576,"name":"Jennifer R. Cracchiolo","orcid":"0000-0003-4496-906X","position":5,"is_corresponding":false},{"id":722887,"name":"Snehal G. Patel","orcid":"0000-0003-1455-463X","position":6,"is_corresponding":false},{"id":385578,"name":"Jatin P. Shah","orcid":"0000-0002-6444-6592","position":7,"is_corresponding":false},{"id":348658,"name":"Lara Dunn","orcid":"0000-0001-5318-2571","position":8,"is_corresponding":false},{"id":255809,"name":"David G. Pfister","orcid":"0000-0002-2109-3221","position":9,"is_corresponding":false},{"id":255810,"name":"Nancy Y. Lee","orcid":"0000-0003-3044-9522","position":10,"is_corresponding":false},{"id":90763,"name":"Snjezana Doğan","orcid":"0000-0002-4905-8946","position":11,"is_corresponding":false},{"id":267983,"name":"Ian Ganly","orcid":"0000-0001-7636-5426","position":12,"is_corresponding":false},{"id":348659,"name":"Marc A. Cohen","orcid":"0000-0002-6104-7967","position":13,"is_corresponding":false},{"id":660749,"name":"Robbie Woods","orcid":"0000-0003-1698-9610","position":0,"is_corresponding":true}],"reference_count":27,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T02:01:59.101070Z","pmid":"39044555","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":[]}