Supplementary Materials

Supplementary Material for:

A Blood-Based Proteomic Classifier for the Molecular Characterization of Pulmonary Nodules

Xiao-jun Li,* Clive Hayward, Pui-Yee Fong, Michel Dominguez, Stephen W. Hunsucker, Lik Wee Lee, Matthew McLean, Scott Law, Heather Butler, Michael Schirm, Olivier Gingras, Julie Lamontagne, Rene Allard, Daniel Chelsky, Nathan D. Price, Stephen Lam, Pierre P. Massion, Harvey Pass, William N. Rom, Anil Vachani, Kenneth C. Fang, Leroy Hood, Paul Kearney*

*Corresponding author. E-mail: (X.-j.L.); (P.K.)

Published 16 October 2013, Sci. Transl. Med. 5, 207ra142 (2013)
DOI: 10.1126/scitranslmed.3007013

This PDF file includes:

  • Materials and Methods
  • Fig. S1. Summary of 388 lung cancer biomarker candidates.
  • Fig. S2. Summary of the 371-protein MRM assay.
  • Fig. S3. ROC curves of the classifier in discovery and validation.
  • Fig. S4. Scatter plot of nodule size versus classifier score of all 247 patients.
  • Fig. S5. Performance of individual proteins as normalizers.
  • Table S1. Clinical information of lung cancer patients enrolled in tissue biomarker studies.
  • Table S2. Terminologies used for searching potential biomarkers in literature.
  • Table S3. Information of 388 protein candidates.
  • Table S4. Summary of protein MRM assay development and detection in blood.
  • Table S6. Experimental design of the discovery study.
  • Table S7. The list of 36 cooperative proteins.
  • Table S8. Results from logistic regression diagnostics.
  • Table S9. Experimental design of the validation study.
  • Table S10. Impact of clinical characteristics on classifier score.
  • Table S11. List of endogenous normalizing proteins.
  • Table S12. Protein and peptide detection in the discovery study.
  • References (5071)

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Other Supplementary Material for this manuscript includes the following:

  • Table S5 (.pdf format). MRM assay of individual proteins.

[Table S1 ]