Increased serum concentration of soluble alpha-chain receptor for interleukin-2 (sIL-2R) has been noted in patients with a variety of inflammatory conditions and lymphoid malignancies including T cell leukemia and lymphoma. Elevated sIL-2R serum levels seen in lymphoid malignancies appear to correlate with the clinical stage of disease. However, because sIL-2R is produced by normal activated lymphocytes, it has been uncertain whether serum sIL-2R in such conditions is derived from tumor cells or normal immune cells responding to the tumor. To address this question, we used a model of human (CD30+) anaplastic, large T cell lymphoma transplanted into immunodeficient SCID mice. Reverse transcription polymerase chain reaction of tumor RNA showed that the tumor, designated mJB6, contains mRNA for alpha-chain of human IL-2R. Furthermore, 15 to 25% of tumor cells stained with anti-human IL-2R alpha-chain mAb. Solid phase ELISA analysis of serum samples from mice bearing mJB6 lymphoma showed high concentrations of human sIL-2R. None of the control mice without lymphoma or with human nonlymphoid tumors (prostatic carcinoma, ovarian carcinoma, and glioblastoma multiforme) showed detectable human sIL-2R. The sIL-2R serum titers of mJB6-bearing mice correlated strongly with tumor volume (P < 0.0001). Tumors as small as 0.4 to 0.8 mm3 could be detected by this method. The sensitivity of sIL-2R ELISA exceeded at least 150 times the sensitivity of conventional radioisotopic tumor detection. Total resection of mJB6 tumors resulted in complete clearance of sIL-2R from the murine serum within 48 hours with a half-life of 6 hours. Accordingly, partial resection led to a significant decrease in sIL-2R followed by gradual increase with tumor regrowth. sIL-2R was also detected in the urine of mJB6-transplanted mice. As in serum, urine concentrations of sIL-2R were proportional to tumor mass (P < 0.02). Based on these findings we postulate that malignant cells are a major source of serum sIL-2R in patients with lymphoid tumors. In addition, our data further support monitoring sIL-2R concentration in body fluids as a sensitive method to detect change in tumor volume in such patients.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1887350PMC

Publication Analysis

Top Keywords

sil-2r
14
tumor volume
12
tumor
11
soluble interleukin-2
8
interleukin-2 receptor
8
cell lymphoma
8
scid mice
8
body fluids
8
serum
8
sil-2r patients
8

Similar Publications

Sarcoidosis is a granulomatous disease affecting multiple organ systems and poses a diagnostic challenge due to its diverse clinical manifestations and absence of specific diagnostic tests. Currently, blood biomarkers such as ACE, sIL-2R, CD163, CCL18, serum amyloid A, and CRP are employed to aid in the diagnosis and monitoring of sarcoidosis. Metabolomics holds promise for identifying highly sensitive and specific biomarkers.

View Article and Find Full Text PDF

Simple dysmood disorder, a mild subtype of major depression, is not an inflammatory condition: Depletion of the compensatory immunoregulatory system.

J Affect Disord

January 2025

Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China; Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Medical Laboratory Technology Department, College of Medical Technology, The Islamic University, Najaf, Iraq. Electronic address:

Background: A recent study conducted by the laboratory of the first author revealed that major depression is composed of two distinct subtypes: major dysmood disorder (MDMD) and simple dysmood disorder (SDMD). The latter is a less severe phenotype with fewer aberrant biological pathways. MDMD, but not SDMD, patients were identified to have highly sensitized cytokine/growth factor networks using stimulated whole blood cultures.

View Article and Find Full Text PDF

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

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!