Pro-surfactant protein B as a biomarker for lung cancer prediction.

TitlePro-surfactant protein B as a biomarker for lung cancer prediction.
Publication TypeJournal Article
Year of Publication2013
AuthorsSin, DD, C Tammemagi, M, Lam, S, Barnett, MJ, Duan, X, Tam, A, Auman, H, Feng, Z, Goodman, GE, Hanash, S, Taguchi, A
JournalJ Clin Oncol
Volume31
Issue36
Pagination4536-43
Date Published2013 Dec 20
ISSN1527-7755
KeywordsAged, Anticarcinogenic Agents, Area Under Curve, beta Carotene, Canada, Carcinoma, Non-Small-Cell Lung, Case-Control Studies, Early Detection of Cancer, Female, Humans, Logistic Models, Lung Neoplasms, Male, Middle Aged, Multicenter Studies as Topic, Multivariate Analysis, Odds Ratio, Predictive Value of Tests, Protein Precursors, Pulmonary Surfactant-Associated Proteins, Randomized Controlled Trials as Topic, Risk Factors, ROC Curve, Tumor Markers, Biological
Abstract

PURPOSE: Preliminary studies have identified pro-surfactant protein B (pro-SFTPB) to be a promising blood biomarker for non-small-cell lung cancer. We conducted a study to determine the independent predictive potential of pro-SFTPB in identifying individuals who are subsequently diagnosed with lung cancer.

PATIENTS AND METHODS: Pro-SFTPB levels were measured in 2,485 individuals, who enrolled onto the Pan-Canadian Early Detection of Lung Cancer Study by using plasma sample collected at the baseline visit. Multivariable logistic regression models were used to evaluate the predictive ability of pro-SFTPB in addition to known lung cancer risk factors. Calibration and discrimination were evaluated, the latter by an area under the receiver operating characteristic curve (AUC). External validation was performed with samples collected in the Carotene and Retinol Efficacy Trial (CARET) participants using a case-control study design.

RESULTS: Adjusted for age, sex, body mass index, personal history of cancer, family history of lung cancer, forced expiratory volume in one second percent predicted, average number of cigarettes smoked per day, and smoking duration, pro-SFTPB (log transformed) had an odds ratio of 2.220 (95% CI, 1.727 to 2.853; P < .001). The AUCs of the full model with and without pro-SFTPB were 0.741 (95% CI, 0.696 to 0.783) and 0.669 (95% CI, 0.620 to 0.717; difference in AUC P < .001). In the CARET Study, the use of pro-SFPTB yielded an AUC of 0.683 (95% CI, 0.604 to 0.761).

CONCLUSION: Pro-SFTPB in plasma is an independent predictor of lung cancer and may be a valuable addition to existing lung cancer risk prediction models.

DOI10.1200/JCO.2013.50.6105
Alternate JournalJ. Clin. Oncol.
PubMed ID24248694
PubMed Central IDPMC3871515
Grant ListUM1 CA167462 / CA / NCI NIH HHS / United States