Objective: Tumor hypoxia induces the production of Hypoxia-Inducible Factor (HIF)-1 alpha, which interacts with NF-kB, leading to cancer proliferation and metastasis. This study investigated the effect of tumor hypoxia modulation using carbogen (95% O2 and 5% CO2) and nicotinamide on reducing soluble interleukin-2 receptor (sIL-2R) levels in newly diagnosed DLBCL patients with tissue overexpression of HIF-1α ≥10%.

Material And Methods: A prospective randomized controlled clinical trial was conducted at Dr. Kariadi Hospital in Semarang, Indonesia, from 2021 to 2022. Newly diagnosed DLBCL patients with tissue HIF-1α ≥10% were randomized into an intervention group (nicotinamide 2,000 mg + carbogen 10 liters/min during R-CHOP) and a control group (R-CHOP alone) for one cycle. sIL-2R levels were measured in the blood before and after intervention.

Results: The intervention group showed a significant reduction in sIL-2R levels after chemotherapy (p=0.026), with 85% of samples exhibiting a decrease. In contrast, only 45% of samples in the control group demonstrated a decrease in sIL-2R levels (p=0.184). The median sIL-2R level decreased from 139.50 pg/mL to 70.50 pg/mL in the intervention group, while the control group exhibited an increase from 182.50 pg/mL to 250.00 pg/mL following one cycle of chemotherapy.

Conclusion: Tumor hypoxia modulation led to a significant decrease in serum sIL-2R levels, potentially through improvements in the crosstalk between hypoxia and inflammation pathways.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11162723PMC
http://dx.doi.org/10.31557/APJCP.2024.25.4.1315DOI Listing

Publication Analysis

Top Keywords

sil-2r levels
24
tumor hypoxia
16
hypoxia modulation
12
newly diagnosed
12
dlbcl patients
12
intervention group
12
control group
12
levels newly
8
clinical trial
8
diagnosed dlbcl
8

Similar Publications

A novel prediction model for the prognosis of non-small cell lung cancer with clinical routine laboratory indicators: a machine learning approach.

BMC Med Inform Decis Mak

November 2024

Clinical Medical Center of Oncology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200071, China.

Background: Lung cancer is characterized by high morbidity and mortality due to the lack of practical early diagnostic and prognostic tools. The present study uses machine learning algorithms to construct a clinical predictive model for non-small cell lung cancer (NSCLC) patients.

Methods: Laboratory indices of the NSCLC patients at their initial visit were collected for quality control and exploratory analysis.

View Article and Find Full Text PDF
Article Synopsis
  • Non-Hodgkin lymphoma (NHL) can resemble soft tissue tumors, making pre-biopsy diagnosis difficult; this study aimed to determine the effectiveness of serum soluble interleukin-2 receptor (sIL-2R) levels and MRI in diagnosing soft tissue NHL.* -
  • Researchers analyzed 36 cases of confirmed soft tissue NHL alongside 48 control cases and found that combining MRI results (homogeneous appearance) and elevated sIL-2R levels effectively identified soft tissue NHL with high sensitivity and specificity.* -
  • The study concluded that using both MRI and sIL-2R measurements together provides a reliable method for predicting soft tissue NHL, enhancing diagnostic accuracy compared to conventional tumor evaluations.*
View Article and Find Full Text PDF
Article Synopsis
  • The study aims to explore how levels of soluble interleukin-2 receptor (SIL-2R), endothelial nitric oxide synthase (eNOS), and cluster of differentiation 93 (CD93) in cerebrospinal fluid and serum relate to the severity and outcome of viral encephalitis (VE) in children.
  • 102 children diagnosed with VE were analyzed based on disease severity and prognosis, and compared to a control group of children without VE symptoms.
  • Results showed that elevated levels of these markers are linked to worse outcomes, and combining these measures improves the prediction of prognosis compared to using them individually.
View Article and Find Full Text PDF

Despite an emphasis on the prognostic impact of serum soluble interleukin-2 receptor (sIL-2R) at diagnosis in patients with diffuse large B-cell lymphoma (DLBCL), whether the prognostic impact of elevated sIL-2R is linear remains unclear. To verify the presence of a non-linear association between sIL-2R level at diagnosis and overall survival (OS) in patients with newly diagnosed DLBCL, we conducted a multi-center, observational retrospective study. Among 488 analyzable patients, Cox proportional hazards modeling identified serum sIL-2R level at diagnosis as an independent predictor of OS.

View Article and Find Full Text PDF

Objectives: Reports have shown that the kynurenine pathway, one of the pathways by which tryptophan is metabolized, is activated in patients with diffuse large B-cell lymphoma (DLBCL). Activation of the kynurenine pathway triggers the production of various metabolites, such as kynurenine (Kyn), 3-hydroxykynurenine (3-HK), 3-hydroxyanthranilic acid (3-HAA), kynurenic acid (KA), and anthranilic acid (AA), which contribute to immune tolerance. The current study aimed to investigate the changes in metabolites of kynurenine pathway in DLBCL patients and evaluate their performance predicting DLBCL.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!