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Elevated Serum Soluble Interleukin-2 Receptor Levels Increase Malignancy-related Risk in Patients on Chronic Hemodialysis

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Specialty Oncology
Date 2019 Jun 12
PMID 31183777
Citations 1
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Abstract

Background: Patients on chronic hemodialysis (HD) have an increased incidence of malignancy due to decreased immunity. Soluble interleukin-2 receptor (sIL-2R), as an immunomodulator, seemed to have an effect in the process of malignancy. In this study, we aimed to evaluate the clinical significance of increased sIL-2R in the course of malignancy among HD patients.

Methods: Patients who undergoing chronic hemodialysis were followed for 24 months. Risk factors for malignancy events and malignancy-related mortality during the 2-year follow-up period were investigated among various clinicopathological variables.

Results: Of the 363 patients included in this research, 47 patients (12.95%) had a prior history of treated malignancy. During the 2-year follow-up period, malignancy events were detected in 15 (4.12%) patients. Sixty-seven patients died during the study period, of which nine patients (13.43%) were died of malignancy. Malignancy events reduced 2-year mortality significantly (log-rank = 23.02, P < 0.0001). Both high sIL-2R levels ( ≥ 2-fold upper limit of the normal value) (OR 6.6, P = 0.006) and a prior history of treated malignancy (OR 4.12, P = 0.018)were identified by multivariate logistic analysis as independent determinants for malignancy events. However, only the levels of sIL-2R (used as a continuous variable) had the significantly predictive effect on malignancy events and malignancy-related mortality in the following 2 years.

Conclusions: Elevated sIL-2R levels was commonly seen in serum of HD patients. And this elevated level increased the risk of malignancy. Aside from its role as a biomarker, sIL-2R may also exert biological effects in the course of malignancy.

Citing Articles

Performance of serum soluble interleukin-2 receptor as a diagnostic marker for lymphoma in patients with fever.

Kanda N, Yamaguchi R, Yamamoto Y, Matsumura M, Hatakeyama S Sci Rep. 2023; 13(1):18784.

PMID: 37914769 PMC: 10620379. DOI: 10.1038/s41598-023-44123-5.

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