COMPARATIVE STUDY
EVALUATION STUDIES
JOURNAL ARTICLE
RESEARCH SUPPORT, U.S. GOV'T, NON-P.H.S.
Add like
Add dislike
Add to saved papers

Serum protein expression predicts recurrence in patients with early-stage lung cancer after resection.

BACKGROUND: Patients with early stage nonsmall-cell lung cancer who have undergone complete resection have a recurrence rate of approximately 50%, predominately due to the development of systemic metastases. This study is a prospective analysis of the expression of seven serum protein markers of invasion and metastasis, collected preoperatively (baseline) and serially after resection, to determine the relationship between marker expression and recurrence.

METHODS: Serum was collected from 196 patients with clinical stage I nonsmall-cell lung cancer who underwent resection over a 5-year period (1996 to 2000). Samples were drawn before resection and 1, 4, 6, 12, 18, and 24 months postoperatively. All patients were followed for at least 24 months or until death. Serum protein levels of vascular endothelial growth factor, hepatocyte growth factor), E-selectin, CD44, basic fibroblast growth factor, urokinase plasminogen activator, and urokinase plasminogen activator receptor were determined using enzyme-linked immunosorbent assay.

RESULTS: To date, 73 patients (37%) have demonstrated recurrence. Baseline levels of only 1 marker (CD44) correlated with pathologic stage (p = 0.02). Analysis of the serial samples demonstrated that recurrence was predicted (before clinical or radiographic determination) by decreasing levels of E-selectin (p = 0.002), increasing levels of CD44 (p = 0.001), and increasing levels of urokinase plasminogen activator receptor (p = 0.03).

CONCLUSIONS: This study demonstrates the potential to predict recurrence after resection in patients with early-stage nonsmall-cell lung cancer using a panel of serum protein markers. Early identification of patients with recurrence may improve the efficacy of systemic therapy.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app