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
{"title":"CYFRA 21-1, CA 125 and CEA provide additional prognostic value in NSCLC patients with stable disease at first CT scan.","authors":"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","doi":"10.3233/TUB-220042","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Serum tumor markers (STM) may complement imaging and provide additional clinical information for patients with non-small cell lung cancer (NSCLC).</p><p><strong>Objective: </strong>To determine whether STMs can predict outcomes in patients with stable disease (SD) after initial treatment.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":23364,"journal":{"name":"Tumor Biology","volume":" ","pages":"S163-S175"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tumor Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/TUB-220042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Tumor Biology is a peer reviewed, international journal providing an open access forum for experimental and clinical cancer research. Tumor Biology covers all aspects of tumor markers, molecular biomarkers, tumor targeting, and mechanisms of tumor development and progression.
Specific topics of interest include, but are not limited to:
Pathway analyses,
Non-coding RNAs,
Circulating tumor cells,
Liquid biopsies,
Exosomes,
Epigenetics,
Cancer stem cells,
Tumor immunology and immunotherapy,
Tumor microenvironment,
Targeted therapies,
Therapy resistance
Cancer genetics,
Cancer risk screening.
Studies in other areas of basic, clinical and translational cancer research are also considered in order to promote connections and discoveries across different disciplines.
The journal publishes original articles, reviews, commentaries and guidelines on tumor marker use. All submissions are subject to rigorous peer review and are selected on the basis of whether the research is sound and deserves publication.
Tumor Biology is the Official Journal of the International Society of Oncology and BioMarkers (ISOBM).