KRTCAP2 as an immunological and prognostic biomarker of hepatocellular carcinoma

Alterations in protein glycosylation affect tumor progression and immune responses in the tumor microenvironment. Keratinocyte-associated protein 2 (KRTCAP2) encodes the corresponding proteins involved in Nglycosylation. The clinical predictive significance and immune role of KRTCAP2 in hepatocellular carcinoma (HCC) largely remain elusive. Combining bioinformatics tools and multiplex immunohistochemistry analysis, we evaluated the KRTCAP2 expression in the HCC tumor microenvironment. The results showed that KRTCAP2 mRNA and protein expression were markedly increased in HCC tissues. Furthermore, high KRTCAP2 expression was an independent predictive factor of unfavorable prognosis in HCC. Moreover, high KRTCAP2 protein expression was associated with a lower proportion of CD8+ T cells and CD68+ macrophages in the stroma region. There was also a lower proportion of CD8+ T cells in the tumor region with high KRTCAP2 protein expression. Specifically, KRTCAP2 expression showed an inverse relationship with programmed cell death ligand-1 in HCC. Analysis of immunophenoscore showed that the low KRTCAP2 expression group had a stronger ability to predict response to immune checkpoint inhibitors. In conclusion, KRTCAP2 had a significant prognostic value for HCC and was correlated with the immune microenvironment. Our findings suggest that KRTCAP2 is a prognostic marker for HCC patients with potential clinical implications for predicting immunotherapeutic responsiveness.

Automated summary

Alterations in protein glycosylation have an impact on tumor progression and immune responses in the tumor microenvironment. In this study, researchers evaluated the expression and role of KRTCAP2 in hepatocellular carcinoma (HCC). They found that high expression of KRTCAP2 was associated with unfavorable prognosis in HCC and correlated with the immune microenvironment. The findings suggest that KRTCAP2 could serve as a prognostic marker for HCC patients and have implications for predicting immunotherapeutic responsiveness.