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

  • Thomas Muley
  • , Mark A. Schneider
  • , Michael Meister
  • , Michael Thomas
  • , Claus Peter Heußel
  • , Mark Kriegsmann
  • , Stefan Holdenrieder
  • , Birgit Wehnl
  • , Vinzent Rolny
  • , Anika Mang
  • , Rebecca Gerber
  • , Felix Herth

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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.

Original languageEnglish
Pages (from-to)S163-S175
JournalTumor Biology
Volume46
Issue numbers1
DOIs
StatePublished - Mar 2024

Keywords

  • CA 125
  • CEA
  • CYFRA 21-1
  • NSCLC
  • biomarkers
  • risk prediction

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