{"doi":"10.3389/fonc.2022.786154","title":"A Translational Model to Improve Early Detection of Epithelial Ovarian Cancers","abstract":"Neural network analyses of circulating miRNAs have shown potential as non-invasive screening tests for ovarian cancer. A clinically useful test would detect occult disease when complete cytoreduction is most feasible. Here we used murine xenografts to sensitize a neural network model to detect low volume disease and applied the model to sera from 75 early-stage ovarian cancer cases age-matched to 200 benign adnexal masses or healthy controls. The 14-miRNA model efficiently discriminated tumor bearing animals from controls with 100% sensitivity down to tumor inoculums of 50,000 cells. Among early-stage patient samples, the model performed well with 73% sensitivity at 91% specificity. Applied to a population with 1% disease prevalence, we hypothesize the model would detect most early-stage ovarian cancers while maintaining a negative predictive value of 99.97% (95% CI 99.95%-99.98%). Overall, this supports the concept that miRNAs may be useful as screening markers for early-stage disease.","journal":"Frontiers in Oncology","year":2022,"id":278564,"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":6,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9574,"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":951138,"name":"Konrad Pagacz","orcid":"0000-0002-8031-3319","position":1,"is_corresponding":false},{"id":951596,"name":"Stephen Fiascone","orcid":null,"position":2,"is_corresponding":false},{"id":951139,"name":"Konrad Stawiski","orcid":"0000-0002-6550-3384","position":3,"is_corresponding":false},{"id":951597,"name":"Nicole Holub","orcid":null,"position":4,"is_corresponding":false},{"id":951598,"name":"Kathleen T Hasselblatt","orcid":null,"position":5,"is_corresponding":false},{"id":79466,"name":"Daniel W. Cramer","orcid":"0000-0002-8024-3066","position":6,"is_corresponding":false},{"id":951140,"name":"Wojciech Fendler","orcid":"0000-0002-5083-9168","position":7,"is_corresponding":false},{"id":241556,"name":"Dipanjan Chowdhury","orcid":"0000-0001-5645-3752","position":8,"is_corresponding":false},{"id":243341,"name":"Kevin M. Elias","orcid":"0000-0003-1502-5553","position":9,"is_corresponding":false},{"id":492490,"name":"Allison Gockley","orcid":"0000-0002-4750-5589","position":0,"is_corresponding":true}],"reference_count":43,"raw_metadata":null,"created_at":"2026-07-19T00:28:47.357993Z","pmid":"35530324","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":[]}