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 09/2019, we produced 7 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 1ncRNA 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 percent sensitivity and 95 percent specificity for lung cancer detection
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 2019
- Accession Number
- AD1093463
Entities
People
- Feng Jiang
Organizations
- University of Maryland, Baltimore