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Expressional and prognostic value of cytokine receptor-like factor 3 in liver hepatocellular carcinoma patients via integrated bioinformatics analyses and experiments

Xingxing Wang et al · SAGE Publishing · 2026

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Background: Liver hepatocellular carcinoma is a highly prevalent and lethal malignancy. The orphan cytokine receptor-like factor 3, although evolutionarily conserved and implicated in hematopoiesis and neuroprotection, remains poorly characterized in liver hepatocellular carcinoma. Objective: To investigate the expression pattern of cytokine receptor-like factor 3 in liver hepatocellular carcinoma and its association with clinicopathological characteristics, prognosis, and potential biological functions through bioinformatics analysis. Methods: Cytokine receptor-like factor 3 mRNA and protein expression in liver hepatocellular carcinoma were evaluated using the cancer genome atlas, human protein atlas, immunohistochemistry, and qPCR. The association of cytokine receptor-like factor 3 expression with prognosis and clinicopathological features was assessed using Kaplan–Meier survival analysis, Cox regression, logistic regression, and receiver operating characteristic curves. Potential functional pathways associated with cytokine receptor-like factor 3 were explored using gene ontology, Kyoto encyclopedia of genes and genomes, gene set enrichment analysis, and ssGSEA. Results: Cytokine receptor-like factor 3 expression was significantly elevated in liver hepatocellular carcinoma tissues and correlated with poorer overall survival, disease-specific survival, and progression-free interval. High cytokine receptor-like factor 3 expression was associated with advanced T stage, pathologic stage, histologic grade, and elevated alpha-fetoprotein levels, and emerged as an independent prognostic factor. Receiver operating characteristic curve analysis suggested a potential diagnostic value for cytokine receptor-like factor 3 in distinguishing liver hepatocellular carcinoma tissues from normal tissues. Enrichment analysis indicated that genes correlated with cytokine receptor-like factor 3 are enriched in pathways such as PI3K/Akt, Wnt, and JAK/STAT, as well as immune-related processes. Notably, cytokine receptor-like factor 3 expression showed a strong positive correlation with Th2 cell infiltration. Conclusions: This study reveals that cytokine receptor-like factor 3 is overexpressed in liver hepatocellular carcinoma and is associated with poor patient prognosis and immune infiltration. These findings suggest that cytokine receptor-like factor 3 may serve as a promising candidate prognostic biomarker and warrants further investigation as a potential immunotherapeutic target in liver hepatocellular carcinoma. The mechanistic hypotheses generated here provide a foundation for subsequent experimental validation.

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APA 7

al, X. W. E. (2026). Expressional and prognostic value of cytokine receptor-like factor 3 in liver hepatocellular carcinoma patients via integrated bioinformatics analyses and experiments. https://doi.org/10.1177/20503121261440458

MLA

al, Xingxing Wang et. "Expressional and prognostic value of cytokine receptor-like factor 3 in liver hepatocellular carcinoma patients via integrated bioinformatics analyses and experiments." 2026. https://doi.org/10.1177/20503121261440458.

Chicago

al, Xingxing Wang et. 2026. "Expressional and prognostic value of cytokine receptor-like factor 3 in liver hepatocellular carcinoma patients via integrated bioinformatics analyses and experiments.". https://doi.org/10.1177/20503121261440458.

Harvard

al, X. W. E. 2026, Expressional and prognostic value of cytokine receptor-like factor 3 in liver hepatocellular carcinoma patients via integrated bioinformatics analyses and experiments, SAGE Publishing, available at: https://doi.org/10.1177/20503121261440458 [Accessed 29 Jun. 2026].

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Título
Expressional and prognostic value of cytokine receptor-like factor 3 in liver hepatocellular carcinoma patients via integrated bioinformatics analyses and experiments
Autor / colaboradores
Xingxing Wang et al
Editorial
SAGE Publishing
Año de publicación
2026
ISSN
2050-3121
ISSN
2050-3121
Idioma
eng
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