American Association for Cancer Research
Browse
- No file added yet -

Supplementary Table 3. from Serum Glycans as Risk Markers for Non–Small Cell Lung Cancer

Download (28.66 kB)
journal contribution
posted on 2023-04-03, 19:49 authored by L. Renee Ruhaak, Carol Stroble, Jianliang Dai, Matt Barnett, Ayumu Taguchi, Gary E. Goodman, Suzanne Miyamoto, David Gandara, Ziding Feng, Carlito B. Lebrilla, Samir Hanash

Variables associated to the glycan variables in the combination marker model, as locked down from the discovery set.

Funding

DOD

CDMRP

NIH

Canary Foundation

LUNGevity Foundation

Thomas G. Labrecque Foundation

Rubenstein Family Foundation

History

ARTICLE ABSTRACT

Previous studies have suggested occurrence of altered serum glycan profiles in patients with lung cancer. Here, we aimed to determine the predictive value of serum glycans to distinguish non–small cell lung cancer (NSCLC) cases from controls in prediagnostic samples using a previously validated predictive protein marker pro-SFTPB, as anchor. Blinded prediagnostic serum samples were obtained from the Carotene and Retinol Efficacy Trial (CARET), and included a discovery set of 100 NSCLC cases and 199 healthy controls. A second test set consisted of 108 cases and 216 controls. Cases and controls were matched for age at baseline (5-year groups), sex, smoking status (current vs. former), study enrollment cohort, and date of blood draw. Serum glycan profiles were determined by mass spectrometry. Twelve glycan variables were identified to have significant discriminatory power between cases and controls in the discovery set (AUC > 0.6). Of these, four were confirmed in the independent validation set. A combination marker yielded AUCs of 0.74 and 0.64 in the discovery and test set, respectively. Four glycan variables exhibited significant incremental value when combined with pro-SFTPB compared with pro-SFTPB alone with AUCs of 0.73, 0.72, 0.72, and 0.72 in the test set, indicating that serum glycan signatures have relevance to risk assessment for NSCLC. Cancer Prev Res; 9(4); 317–23. ©2016 AACR.

Usage metrics

    Cancer Prevention Research

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC