Literature DB >> 31938384

Low expression of trafficking protein particle complex 4 predicts poor prognosis in hepatocellular carcinoma.

Jian-Dong Shen1, Xin-Feng Cai2, Jue Wei3, Chun-Yan Gu4, Lin-Ling Ju5, Yi-Fang Wang5, Feng Dai1, Shou-Zhong Fu1, Zhao-Lian Bian5, Long-Ju Qi1.   

Abstract

Hepatocellular carcinoma (HCC) is one of the most common malignancies worldwide. Tumor recurrence and metastasis are major factors that contribute to the poor outcome of patients with HCC. However, it is difficult to predict the prognosis of hepatocellular carcinoma. Trafficking Protein Particle Complex 4 (Trappc4), is associated with tumorigenesis. The present study aimed to detect Trappc4 expression in HCC and its association with clinicopathological patient data. More importantly, this study reveals the relationship between Trappc4 and the prognosis of hepatocellular carcinoma. A total of 148 HCC tissues were assessed for expression of Trappc4 mRNA and protein with (reverse transcription polymerase chain reaction) RT-PCR (n=36), Western blotting (n=4) and immunohistochemistry (n=148), respectively. The data show that Trappc4 mRNA and protein are expressed at low levels in HCC tissues compared to adjacent tissues. Immunohistochemical analysis revealed that 148 cases of HCC showed different degrees of positive expression. Statistical analysis showed that expression of Trappc4 was associated with histological differentiation, TNM stage, and vascular invasion (P < 0.05), but did not correlate with the patient's age, gender, tumor size (P > 0.05). Most importantly, HCC patients with low expression of Trappc4 had shorter survival time compared to patients with high expression. Trappc4 might be involved in the pathogenesis of HCC and could be an important prognostic marker in HCC patients. IJCEP
Copyright © 2018.

Entities:  

Keywords:  Trafficking protein particle complex 4; biomarker; hepatocellular carcinoma; prognosis

Year:  2018        PMID: 31938384      PMCID: PMC6958281     

Source DB:  PubMed          Journal:  Int J Clin Exp Pathol        ISSN: 1936-2625


  1 in total

1.  Stemness analysis in hepatocellular carcinoma identifies an extracellular matrix gene-related signature associated with prognosis and therapy response.

Authors:  Lei Chen; Dafang Zhang; Shengmin Zheng; Xinyu Li; Pengji Gao
Journal:  Front Genet       Date:  2022-08-30       Impact factor: 4.772

  1 in total

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