This study aimed to evaluate the predictive values of phosphoglucomutase-1 (PGM1) expression for prognosis in patients with hepatocellular carcinoma (HCC). PGM1 expression was assessed by immunohistochemistry in tissue microarrays. The relationship of PGM1 expression level with pathologic parameters and prognosis values was respectively analyzed by χ 2 test and Cox regression. The accuracy of independent risk factors in predicting prognosis was calculated by receiver operating characteristic curve. HCC patient-derived xenograft models were performed to evaluate the nuclear PGM1 antitumor effect. The results showed that PGM1 expression was low in HCC tissues. Nuclear PGM1 was an independent prognostic factor for overall survival and time to recurrence. Cox regression showed that nuclear PGM1, serum α-fetoprotein, liver cirrhosis, and TNM staging stage were independent risk predictors for HCC. Receiver operating characteristic curve demonstrated that combination of independent predictors had better prognostic value than TNM staging alone. Moreover, patient-derived xenograft models showed antitumor effect of nuclear PGM1. We found that low expression of nuclear PGM1 was detected in HCC tissues and associated with poor prognostic. Nuclear PGM1 was an independent prognostic factor in patients with HCC. Furthermore, nuclear PGM1 combining other independent risk factors showed a better prognostic value. Nuclear PGM1 was a useful prognostic biomarker for patients with HCC.
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