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.

inflammation non-small-cell lung cancer (NSCLC) soluble TNF-receptor 1 (sTNF-R1) stereotactic body radiation therapy (SBRT) survival

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
26 Jan 2024
Historique:
received: 11 12 2023
revised: 20 01 2024
accepted: 23 01 2024
medline: 10 2 2024
pubmed: 10 2 2024
entrez: 10 2 2024
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

BACKGROUND 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 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 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 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.

Identifiants

pubmed: 38339276
pii: cancers16030525
doi: 10.3390/cancers16030525
pii:
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Lamiaa Hassan (L)

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.

Ahmed Bedir (A)

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

Frank Bernhard Kraus (FB)

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

Christian Ostheimer (C)

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

Dirk Vordermark (D)

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

Rafael Mikolajczyk (R)

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.

Barbara Seliger (B)

Medical Faculty, Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany.
Institute for Translational Immunology, Brandenburg Medical School "Theodor Fontane", 16816 Brandenburg, Germany.
Fraunhofer Institute for Cell Therapy and Immunology, 04103 Leipzig, Germany.

Daniel Medenwald (D)

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

Classifications MeSH