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) by integrating biomarkers, radiographic features of PNs, and clinical variables of smokers. The projects specific aims are to (1) identify new sputum small noncoding RNA(ncRNA) biomarkers for lung cancer from the PIs previously next-generation sequencing (NGS)defined small ncRNA profile of lung tumors, (2) validate the previously and newly identified biomarkers and develop a prediction model by integrating the biomarkers with clinical and imaging variables for identifying NSCLC, and (3) blindly validate the prediction model for distinguishing benign from malignant growths in a different cohort of patients with low-dose computed tomography (LDCT)discovered PNs. The IRB protocol prepared specially for this grant was finally approved by the local VA medical system and the University of Maryland Baltimore in the early of this year. The IRB protocol was submitted to DoD. It now is reviewed. Since the DoD has not approved the IRB yet, we have not started the research experiments. We will start the planed experiments as soon as the IRB is approved by DoD.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2018
Accession Number
AD1074296

Entities

People

  • Feng Jiang

Organizations

  • University of Maryland

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Availability
  • Biological Markers
  • Biomedical Research
  • Cancer
  • Demographic Cohorts
  • Department Of Defense
  • Detection
  • Diagnostic Imaging
  • Health Care
  • Health Services
  • Imaging Techniques
  • Information Operations
  • Lung Cancer
  • Maryland
  • Materials
  • Neoplasms
  • Schools
  • Tomography
  • Universities
  • X-Ray Computed Tomography

Fields of Study

  • Biology

Readers

  • Oncology and Biomarker-Based Cancer Detection.