Lung cancer-associated auto-antibodies measured using seven amino acid peptides in a diagnostic blood test for lung cancer

Nada H. Khattar, Sarah P. Coe-atkinson, Arnold J. Stromberg, James R. Jett, Edward A. Hirschowitz

Research output: Contribution to journalArticlepeer-review

19 Scopus citations


Autoantibody profiling is a developing approach that incorporates immune recognition of myriad aberrant cancer proteins into a single diagnostic assay. We have previously described methodology to screen T7-phage NsCLC-cDNa libraries for phage-expressed proteins recognized by NsCLC-associated antibodies, and developed a multiplex assay that has excellent ability to discriminate NsCLC from control samples. This follow-up report describes the development and testing of a diagnostic autoantibody assay that uses seven amino-acid peptides as capture proteins. a random-peptide M13-phage library was screened for proteins recognized by cancer-associated antibodies. One hundred twentyone NsCLC case and control samples were divided into two groups for training and validation, or alternately, evaluated sequentially in a leave-one-out analysis. Candidate antibody-markers were ranked by statistical discrimination between cases and controls. Receiver-Operating-Characteristic (ROC-aUC) suggested the predictive potential of various marker combinations. a five-marker combination (aUC = 0.982) afforded 90% sensitivity and 73% specificity in a training-and-testing strategy. Leave-one-out validation provided similar class prediction. Data confirm the potential of antibody profiling to provide high levels of cancer prediction. Random peptide libraries offer a universal source of capture proteins for antibody profiling that obviates the need for tumor-specific library construction and abrogates inherent problems with tumor heterogeneity during biomarker discovery.

Original languageEnglish
Pages (from-to)267-272
Number of pages6
JournalCancer Biology and Therapy
Issue number3
StatePublished - Aug 1 2010


  • Autoantibodies
  • Lung cancer
  • M13 phage
  • Microarray
  • Peptide library

ASJC Scopus subject areas

  • Molecular Medicine
  • Oncology
  • Pharmacology
  • Cancer Research


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