Proteomic, Glycomic and Autoantibody Markers that Complement CT Imaging for Early Lung Cancer Detection

Principal Investigator

Name
Paul Kinahan

Institution
University of Washington

Position Title
Professor and Vice-Chair for Research

Email
kinahan@uw.edu

About this CDAS Project

Study
NLST (Learn more about this study)

Project ID
NLST-220

Initial CDAS Request Approval
Jul 29, 2016

Title
Proteomic, Glycomic and Autoantibody Markers that Complement CT Imaging for Early Lung Cancer Detection

Summary
We are performing analysis on 250 lung cancer cases and controls with positive CT findings from the FHCRC Lung Cancer Early Detection Clinic to create a risk prediction model (i.e., a rule combining CT and clinical data).

Aims

Our specific aims are to perform validation of our multivariate analysis of CT imaging parameters to distinguish malignant from benign nodules identified on CT chest imaging.

Collaborators

Paul Lampe, PhD, Full Member, Fred Hutchinson Cancer Research Center, Seattle WA