Tianjin Medical Journal ›› 2025, Vol. 53 ›› Issue (2): 124-128.doi: 10.11958/20240977

• Cell and Molecular Biology • Previous Articles     Next Articles

Gli gene and protein expression in hepatocellular carcinoma and the relationship with prognosis

YU Songsong(), YIN Jingzhao, WU Tianyu, LI Hao()   

  1. Department of Hepatopancreatobiliary Surgery, Yanbian University Hospital, Yanji 133000, China
  • Received:2024-07-21 Revised:2024-12-12 Published:2025-02-15 Online:2025-02-26
  • Contact: E-mail:lih@ybu.edu.cn

Abstract:

Objective To investigate the expression patterns of Gli1, Gli2 and Gli3 genes and proteins in hepatocellular carcinoma (HCC) tissue and their correlation with prognosis. Methods Gli gene expression in 315 HCC samples were analyzed using the cBioportal database, and Gli protein expression was examined in 40 HCC and other liver tissue samples through immunohistochemistry. Results Gli gene alterations were found in 57 cases (18.1%) of HCC samples, with alteration frequencies of 19 cases (6.0%), 13 cases (4.1%) and 25 cases (7.9%) for Gli1, Gli2 and Gli3, respectively. Gli1 showed significant co-occurrence with both Gli2 and Gli3 (P<0.05), while Gli2 and Gli3 exhibited a tendency toward mutual exclusivity. Increased Gli1 gene expression significantly correlated with decreased disease-free survival (P<0.01). Immunohistochemical analysis demonstrated that Gli1 protein expression was significantly higher in HCC tissue than that in normal liver tissue, adjacent tissue, hepatitis and cirrhotic tissue (P<0.05). In HCC tissue, strong positive correlation was observed between the three Gli proteins (Gli1 vs. Gli2: rs=0.796; Gli1 vs. Gli3: rs=0.759; Gli2 vs. Gli3:rs=0.891, all P<0.01). High expression levels of all three Gli proteins were detected in 53.3% (8/15) of HCC samples, compared to only 11.8% (2/17) in non-cancerous liver tissue. Conclusion Gli1, Gli2 and Gli3 proteins commonly exhibit synergistic high expression and significant positive correlation in HCC tissue, with Gli1 showing a special expression pattern of independent high expression.

Key words: liver neoplasms, transcription factors, gene expression, Gli, cBioportal gene database

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