ArticleJournal of cancer research and clinical oncology2023
Comprehensive circulating microRNA profile as a supersensitive biomarker for early-stage lung cancer screening.
Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- A machine learning model for cancer screening in dogs using comprehensive circulating microRNA profiles.Journal of veterinary internal medicine · 2026Article
- Nanomaterial-Mediated Electrochemical and Optical Biosensors and Their Application in Tumour Marker Detection.Sensors (Basel, Switzerland) · 2025Review
- Diagnostic tools in respiratory medicine (Review).Biomedical reports · 2025Review
- Development of a sensitive disease-screening model using comprehensive circulating microRNA profiles in dogs: A pilot study.Veterinary and animal science · 2025Article
- Identification of Progression-Associated Biomarkers in Lung Cancer Based on the Integrated Analysis of RNA Sequencing Data From Platelets and Tumor Tissues.International journal of genomics · 2025Article
- Prediction of Pathologic Complete Response in Esophageal Squamous Cell Carcinoma Using Preoperative Serum Small Ribonucleic Acid Obtained After Neoadjuvant Chemoradiotherapy.Annals of surgical oncology · 2025Article
- Improved lung cancer classification by employing diverse molecular features of microRNAs.Heliyon · 2024Article
- Serum Insights: Leveraging the Power of miRNA Profiling as an Early Diagnostic Tool for Non-Small Cell Lung Cancer.Cancers · 2023Article
- Small RNA Deep Sequencing of Circulating Small RNAs Discovers a Unique Panel of microRNAs as Feasible and Reliable Biomarkers of Non-Small Cell Lung Cancers in Northern Thailand.Asian Pacific journal of cancer prevention : APJCP · 2023Review
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Authors and funding
20 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeLess-invasive early diagnosis of lung cancer is essential for improving patient survival rates. The purpose of this study is to demonstrate that serum comprehensive miRNA profile is high sensitive biomarker to early-stage lung cancer in direct comparison to the conventional blood biomarker using next-generation sequencing (NGS) technology combined with automated machine learning (AutoML).
methodsWe first evaluated the reproducibility of our measurement system using Pearson's correlation coefficients between samples derived from a single pooled RNA sample. To generate comprehensive miRNA profile, we performed NGS analysis of miRNAs in 262 serum samples. Among the discovery set (57 patients with lung cancer and 57 healthy controls), 1123 miRNA-based diagnostic models for lung cancer detection were constructed and screened using AutoML technology. The diagnostic faculty of the best performance model was evaluated by inspecting the validation samples (74 patients with lung cancer and 74 healthy controls).
resultsThe Pearson's correlation coefficients between samples derived from the pooled RNA sample ≥ 0.98. In the validation analysis, the best model showed a high AUC score (0.98) and a high sensitivity for early stage lung cancer (85.7%, n = 28). Furthermore, in comparison to carcinoembryonic antigen (CEA), a conventional blood biomarker for adenocarcinoma, the miRNA-based model showed higher sensitivity for early-stage lung adenocarcinoma (CEA, 27.8%, n = 18; miRNA-based model, 77.8%, n = 18).
conclusionThe miRNA-based diagnostic model showed a high sensitivity for lung cancer, including early-stage disease. Our study provides the experimental evidence that serum comprehensive miRNA profile can be a highly sensitive blood biomarker for early-stage lung cancer.
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