Sputum Biomarkers to Improve CT Screening for the Early Detection of Lung Cancer in Veterans
Abstract
We propose to develop a model for identifying lung cancer in indeterminate pulmonary nodules (PNs). Specific aims: (1) identify new sputum small noncoding RNA (ncRNA) biomarkers for lung cancer, (2) validate the previously and newly identified biomarkers and develop a prediction model, and (3) blindly validate the prediction model for distinguishing benign from malignant growths in a different cohort. Until 08/2020, we produced 13 peer-reviewed research articles published. We have the important findings as shown below: Demonstrating that aberrant ncRNAs detected in the bronchial epitheliums of sputum could reflects those in malignant PNs (lung tumors). Developing and validating panels of sputum miRNA, snoRNA, and lncRNA biomarkers for lung cancer. Defining a landscape of various types of ncRNAs of bronchial epitheliums of lung cancer patients. Combined analysis of ncRNAs and DNA methylation has a synergistic effect for lung cancer diagnosis. We have developed a prediction model that has more than 90% sensitivity and 95% specificity for lung cancer detection. The diagnostic value of the prediction model is validated in a different cohort.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2020
- Accession Number
- AD1116903
Entities
People
- Feng Jiang
Organizations
- University of Maryland, Baltimore