Abstract

Objective Liver cancer is one of the most common malignancies, but its prognosis is still poor. Exploring potential biomarkers is an important direction of tumor research. We intend to use bioinformatics methods to explore potential biomarkers related to survival and prognosis of HCC. Methods The mRNA and protein expressions of PPM1G in liver cancer were analyzed by HPA, TIMER, and UALCAN databases, and the effects of PPM1G on the prognosis of liver cancer patients were explored by the GEPIA database. We also explored the correlation between PPM1G expression and liver cancer immune infiltration through the TIMER database and further explored the potential protein interaction network of PPM1G through the STRING database. Results The mRNA and protein expression of PPM1G gene in hepatocellular carcinoma tissues was lower than that in normal adjacent tissues. Liver cancer patients with high expression of PPM1G have a better prognosis than those with low expression of PPM1G. The expression of PPM1G is positively or negatively correlated with different immune cells of liver cancer, such as CD4+ T lymphocytes, CD8+ T lymphocytes, B cells, macrophages, and neutrophils. Conclusion The liver cancer patients with high expression of PPM1G have a good prognosis, and PPM1G gene may be a potential immunotherapy target and prognostic marker of liver cancer.

Highlights

  • Cancer is the leading cause of morbidity and mortality worldwide and imposes a huge health and economic burden on society [1]

  • PPM1G is a Mg2+/Mn2+-dependent filament-threonine phosphatase belonging to the PP2C family that can selectively act on phosphoserine or phosphothreonine residues to dephosphorylate and alter the biologically active [8]

  • The results suggested that liver cancer patients with high expression of PPM1G had a better prognosis than those with low expression of PPM1G (Figures 5(a) and 5(c))

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Summary

Objective

Liver cancer is one of the most common malignancies, but its prognosis is still poor. We intend to use bioinformatics methods to explore potential biomarkers related to survival and prognosis of HCC. The mRNA and protein expressions of PPM1G in liver cancer were analyzed by HPA, TIMER, and UALCAN databases, and the effects of PPM1G on the prognosis of liver cancer patients were explored by the GEPIA database. We explored the correlation between PPM1G expression and liver cancer immune infiltration through the TIMER database and further explored the potential protein interaction network of PPM1G through the STRING database. Liver cancer patients with high expression of PPM1G have a better prognosis than those with low expression of PPM1G. The liver cancer patients with high expression of PPM1G have a good prognosis, and PPM1G gene may be a potential immunotherapy target and prognostic marker of liver cancer

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