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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.
- Source :
- Cancers; Feb2024, Vol. 16 Issue 3, p525, 10p
- Publication Year :
- 2024
-
Abstract
- Simple Summary: This longitudinal cohort study investigates the role of soluble Tumor Necrosis Factor Receptor 1 (sTNF-R1) in non-small-cell lung cancer (NSCLC) patients. Serum sTNF-R1 levels were measured in 134 NSCLC patients before, during, and after treatment at the Medical Faculty of Martin Luther University Halle-Wittenberg between 2017 and 2019. This study reveals that baseline sTNF-R1 levels were higher in NSCLC patients compared to the general population, and they exhibited a linear increase over time. Importantly, individual changes in sTNF-R1 levels during and after treatment were found to be strongly associated with the risk of mortality, highlighting the potential of the sTNF-R1 trajectory as a valuable prognostic marker in NSCLC. 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. [ABSTRACT FROM AUTHOR]
- Subjects :
- MORTALITY risk factors
LUNG cancer
RESEARCH
ACADEMIC medical centers
CELL receptors
REGRESSION analysis
RISK assessment
TREATMENT effectiveness
COMPARATIVE studies
PRE-tests & post-tests
CANCER patients
TUMOR necrosis factors
DESCRIPTIVE statistics
ENZYME-linked immunosorbent assay
SYMPTOMS
TUMOR markers
STATISTICAL correlation
LONGITUDINAL method
OVERALL survival
PROPORTIONAL hazards models
BLOOD
Subjects
Details
- Language :
- English
- ISSN :
- 20726694
- Volume :
- 16
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Cancers
- Publication Type :
- Academic Journal
- Accession number :
- 175373792
- Full Text :
- https://doi.org/10.3390/cancers16030525