CYFRA 21-1, CA 125 and CEA provide additional prognostic value in NSCLC patients with stable disease at first CT scan

Author:

Muley Thomas12ORCID,Schneider Mark A.12,Meister Michael12,Thomas Michael23,Heußel Claus Peter245ORCID,Kriegsmann Mark6,Holdenrieder Stefan7,Wehnl Birgit8,Rolny Vinzent8,Mang Anika8,Gerber Rebecca9,Herth Felix210

Affiliation:

1. Translational Research Unit, Thoraxklinik, University Hospital, Heidelberg, Germany

2. Translational Lung Research Center, German Center for Lung Research (DZL), Heidelberg, Germany

3. Department of Oncology, Thoraxklinik, University Hospital, Heidelberg, Germany

4. Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik, University Hospital, Heidelberg, Germany

5. Diagnostic and Interventional Radiology, University Hospital, Heidelberg, Germany

6. Department of Pathology, Institute of Pathology, University Hospital, Heidelberg, Germany

7. Department of Laboratory Medicine, Deutsches Herzzentrum München, Munich, Germany

8. Roche Diagnostics GmbH, Penzberg, Germany

9. Roche Diagnostics GmBH, Mannheim, Germany

10. Department of Pulmonology and Critical Care, Thoraxklinik, University Hospital, Heidelberg, Germany

Abstract

BACKGROUND: Serum tumor markers (STM) may complement imaging and provide additional clinical information for patients with non-small cell lung cancer (NSCLC). OBJECTIVE: To determine whether STMs can predict outcomes in patients with stable disease (SD) after initial treatment. METHODS: This single-center, prospective, observational trial enrolled 395 patients with stage III/IV treatment-naïve NSCLC; of which 263 patients were included in this analysis. Computed Tomography (CT) scans were performed and STMs measured before and after initial treatment (two cycles of chemotherapy and/or an immune checkpoint inhibitor or tyrosine kinase inhibitor); analyses were based on CT and STM measurements obtained at first CT performed after cycle 2 only PFS and OS were analyzed by Kaplan-Meier curves and Cox-proportional hazard models. RESULTS: When patients with SD (n = 100) were split into high- and low-risk groups based on CYFRA 21-1, CEA and CA 125 measurements using an optimized cut-off, a 4-fold increase risk of progression or death was estimated for high- vs low-risk SD patients (PFS, HR 4.17; OS, 3.99; both p < 0.0001). Outcomes were similar between patients with high-risk SD or progressive disease (n = 35) (OS, HR 1.17) and between patients with low-risk SD or partial response (n = 128) (PFS, HR 0.98; OS, 1.14). CONCLUSIONS: STMs can provide further guidance in patients with indeterminate CT responses by separating them into high- and low-risk groups for future PFS and OS events.

Publisher

IOS Press

Subject

General Medicine

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