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Prognostic Value of Interleukin-32 Expression and Its Correlation with the Infiltration of Natural Killer Cells in Cutaneous Melanoma

Authors
Kang, Ji YoungKim, Kyung Eun
Issue Date
Oct-2021
Publisher
MDPI
Keywords
interleukin-32 (IL-32); cutaneous melanoma; multiomic analysis; immune cell infiltration; natural killer (NK) cells
Citation
JOURNAL OF CLINICAL MEDICINE, v.10, no.20
Journal Title
JOURNAL OF CLINICAL MEDICINE
Volume
10
Number
20
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/146365
DOI
10.3390/jcm10204691
ISSN
2077-0383
2077-0383
Abstract
Interleukin-32 (IL-32) is well known as a proinflammatory cytokine that is expressed in various immune cells and cancers. However, the clinical relevance of IL-32 expression in cutaneous melanoma has not been comprehensively studied. Here, we identified the prognostic value of IL32 expression using various systematic multiomic analyses. The IL32 expressions were significantly higher in cutaneous melanoma than in normal tissue, and Kaplan-Meier survival analysis showed a correlation between IL32 expression and good prognosis in cutaneous melanoma patients. In addition, we analyzed the correlation between IL32 expression and the infiltration of natural killer (NK) cells to identify a relevant mechanism between IL32 expression and prognosis in cutaneous melanoma (p = 0.00031). In the relationship between IL32 expression and the infiltration of NK cells, a negative correlation was found in resting NK cells (rho = -0.38, p = 3.95 x 10(-17)) whereas a strong positive correlation was observed only in active NK cells (rho = 0.374, p = 1.23 x 10(-16)). Moreover, IL32 expression was markedly positively correlated with the cytolytic molecules, such as granzyme and perforin. These data suggest that IL32 expression may increase patient survival through the infiltration and activation of NK cells, representative anticancer effector cells, in cutaneous melanoma. Collectively, this study provides the prognostic value of IL32 expression and its potential role as an effective predictive biomarker for NK cell infiltration in cutaneous melanoma.</p>
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Kim, Kyung Eun
대학원 (헬스산업학(협동과정))
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