{"doi":"10.3389/fonc.2023.1255527","title":"A plasma miRNA-based classifier for small cell lung cancer diagnosis","abstract":"Introduction: Small cell lung cancer (SCLC) is characterized by poor prognosis and challenging diagnosis. Screening in high-risk smokers results in a reduction in lung cancer mortality, however, screening efforts are primarily focused on non-small cell lung cancer (NSCLC). SCLC diagnosis and surveillance remain significant challenges. The aberrant expression of circulating microRNAs (miRNAs/miRs) is reported in many tumors and can provide insights into the pathogenesis of tumor development and progression. Here, we conducted a comprehensive assessment of circulating miRNAs in SCLC with a goal of developing a miRNA-based classifier to assist in SCLC diagnoses. Methods: We profiled deregulated circulating cell-free miRNAs in the plasma of SCLC patients. We tested selected miRNAs on a training cohort and created a classifier by integrating miRNA expression and patients' clinical data. Finally, we applied the classifier on a validation dataset. Results: We determined that miR-375-3p can discriminate between SCLC and NSCLC patients, and between SCLC and Squamous Cell Carcinoma patients. Moreover, we found that a model comprising miR-375-3p, miR-320b, and miR-144-3p can be integrated with race and age to distinguish metastatic SCLC from a control group. Discussion: This study proposes a miRNA-based biomarker classifier for SCLC that considers clinical demographics with specific cut offs to inform SCLC diagnosis.","journal":"Frontiers in Oncology","year":2023,"id":343368,"datarank":0.40620753016533157,"base_score":2.70805020110221,"endowment":2.70805020110221,"self_citation_contribution":0.40620753016533157,"citation_network_contribution":0.0,"self_endowment_contribution":0.40620753016533157,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":14,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9594,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":378666,"name":"Giulia Romano","orcid":"0000-0001-5847-4266","position":1,"is_corresponding":false},{"id":346559,"name":"Joseph P. McElroy","orcid":null,"position":2,"is_corresponding":false},{"id":378667,"name":"Giovanni Nigita","orcid":"0000-0001-8880-4334","position":3,"is_corresponding":false},{"id":634499,"name":"Rosario Distefano","orcid":"0000-0001-7241-7751","position":4,"is_corresponding":false},{"id":1081383,"name":"Robin Toft","orcid":null,"position":5,"is_corresponding":false},{"id":379829,"name":"Federica Calore","orcid":null,"position":6,"is_corresponding":false},{"id":378669,"name":"Patricia Le","orcid":"0000-0002-9344-1301","position":7,"is_corresponding":false},{"id":399708,"name":"Daniel del Valle Morales","orcid":"0000-0003-3881-8601","position":8,"is_corresponding":false},{"id":1081384,"name":"Sarah Atmajoana","orcid":null,"position":9,"is_corresponding":false},{"id":387848,"name":"Stephen A. Deppen","orcid":"0000-0002-3661-662X","position":10,"is_corresponding":false},{"id":294401,"name":"Kai Wang","orcid":"0000-0002-6170-4744","position":11,"is_corresponding":false},{"id":650884,"name":"L. James Lee","orcid":null,"position":12,"is_corresponding":false},{"id":378670,"name":"Mario Acunzo","orcid":"0000-0002-3942-9061","position":13,"is_corresponding":false},{"id":379830,"name":"Patrick Nana‐Sinkam","orcid":null,"position":14,"is_corresponding":false},{"id":378668,"name":"Michela Saviana","orcid":"0000-0003-2915-8752","position":0,"is_corresponding":true}],"reference_count":75,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T01:11:21.758449Z","pmid":"37869089","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":[]}