Correlation of Increased Soluble Tumor Necrosis Factor Receptor 1 with Mortality and Dependence on Treatment in Non-Small-Cell Lung Cancer Patients: A Longitudinal Cohort Study

Author:

Hassan Lamiaa1ORCID,Bedir Ahmed2,Kraus Frank Bernhard3ORCID,Ostheimer Christian4,Vordermark Dirk24,Mikolajczyk Rafael1ORCID,Seliger Barbara567ORCID,Medenwald Daniel24ORCID

Affiliation:

1. Institute of Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, 06112 Halle (Saale), Germany

2. Department of Radiation Oncology, Health Services Research Group, University Hospital Halle (Saale), 06120 Halle (Saale), Germany

3. Department of Laboratory Medicine, Unit II LM-CC, University Hospital Halle (Saale), 06120 Halle (Saale), Germany

4. Department of Radiation Oncology, University Hospital Halle (Saale), 06120 Halle (Saale), Germany

5. Medical Faculty, Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany

6. Institute for Translational Immunology, Brandenburg Medical School “Theodor Fontane”, 16816 Brandenburg, Germany

7. Fraunhofer Institute for Cell Therapy and Immunology, 04103 Leipzig, Germany

Abstract

Background: Tumor necrosis factor (TNF) is a multipotent cytokine involved in inflammation and anti-tumor activity. TNF-α exerts its function upon binding to TNF-receptor 1 (TNF-R1) and TNF-receptor 2 (TNF-R2). This study investigates the relationship of soluble (s) TNF-R1 levels in non-small-cell lung cancer (NSCLC) patients with treatment and overall survival. Methods: In total, 134 NSCLC patients treated at the Medical Faculty of Martin Luther University Halle-Wittenberg between 2017 and 2019 were included in this study. Serum levels of sTNF-R1 were measured via ELISA at baseline and during and after treatment. A linear mixed-effects model was used to assess sTNF-R1 changes over time. Linear regression was applied to investigate the association between clinical characteristics and changes in sTNF-R1. Cox regression models were used to estimate associations with overall mortality. Results: The estimated average sTNFR-1 at baseline was 2091.71 pg/mL, with a change of 6.19 pg/mL per day. Cox models revealed that the individual change in sTNF-R1 was more strongly associated with mortality than its baseline value, especially after adjusting for covariates. Conclusions: This study provides evidence that the individual change in sTNF-R1 levels during and after treatment were associated with the risk of mortality, suggesting the use of the sTNF-R1 trajectory as a prognostic marker.

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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