Validation of Metabolomic, Diagnostic, and Prognostic Classifiers of Lung Cancer

Abstract

We propose to investigate the performance of previously discovered urinary metabolomic biomarkers among military personnel at high risk for lung cancer, by focusing on early detection, thereby potentially improving its very bleak prognosis. Additionally, global metabolomic profiling will allow us to interrogate whether the military have unique exposures that may be related to lung cancer, which may aid currently existing risk, diagnostic and prognostic lung cancer classifiers in the military populations.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2016
Accession Number
AD1031451

Entities

People

  • Curtis Harris

Organizations

  • Geneva Foundation

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • African Americans
  • Biological Markers
  • Biomedical Research
  • Cancer
  • Data Analysis
  • Detection
  • Institutional Review Board
  • Lung Cancer
  • Machine Learning
  • Mass Spectrometry
  • Medical Personnel
  • Military Personnel
  • Neoplasms
  • Patent Applications
  • Professional Development
  • Students
  • Validation

Readers

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