CD161, a promising prognostic biomarker in hepatocellular carcinoma, correlates with immune infiltration


Abstract

Background.CD161, encoded by the killer cell lectin-like receptor B1 (KLRB1) gene, exhibits a distinct role among different tumors. This study aims to explore the potential value of CD161 as a prognostic biomarker for hepatocellular carcinoma (HCC) and its association with the immune cell infiltration.

Methods. A total of 109 HCC patients who underwent surgery were retrospectively analyzed. Immunohistochemistry, bioinformatic analyses, and statistical measurements were used to investigate the associations between CD161 expression, immune cell infiltration, and clinical outcomes in multiple public and in-house cohorts.

Results. CD 161 was highly expressed in adjacent normal tissues compared to those in tumor tissues of HCC patients at both protein and mRNA level. Meanwhile, CD161 was enriched in HCC cases characterized by smaller tumor sizes (≤5cm), earlier TNM stages, and the absence of portal vein tumor thrombus. Individuals with high CD161 expression showed extended overall survival (OS) and relapse free survival (RFS) compared to those with lower levels. Notably, CD161 was identified as an independent prognostic indicator for both OS and RFS. In addition, the enrichment analysis indicated a close correlation between CD161 and the immune response, as well as the signaling pathways of cytokines and chemokines, implying its role in immune regulation during cancer development. To be more specific, CD161 was positively related to the immunemodulators and the tumor-infiltrating immune cells, especially CD8+T cells, CD4+T cells, and dendritic cells. Importantly, the patients with high CD161 expression were more likely to derive benefits from immunotherapy in multiple public databases.

Conclusion. CD161 emerges as a promising prognostic biomarker for HCC. Additionally, CD161 is closely linked to high infiltration of immune cells, participates in the regulation of the tumor immune microenvironment, and holds promise as a potential biomarker for predicting the efficacy of immunotherapy.

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