Literature DB >> 27121567

Expression and clinical significance of aquaglyceroporins in human hepatocellular carcinoma.

Xiao-Feng Chen1, Chuan-Fei Li1, Lin Lü1, Zhe-Chuan Mei1.   

Abstract

Aquaglyceroporins (AQPs) are a subset of the aquaporin family, and are permeable to water and glycerol. The aim of the present study was to determine the expression and clinical significance of three AQPs, AQP3, 7 and 9 in hepatocellular carcinoma (HCC). Fresh HCC and adjacent non‑tumorous liver tissues were collected from 68 patients diagnosed with HCC. The expression levels of AQP3, 7 and 9 were detected by reverse transcription‑quantitative polymerase chain reaction, western blotting and immunohistochemical analysis. The association between the expression of AQPs and clinicopathological parameters of HCC were investigated. Compared with non‑tumorous liver tissue, HCC tissues exhibited a significant (P<0.05) increase in the expression of AQP3 and a concomitant reduction in the expression levels of AQP7 and AQP9, at both the mRNA and protein levels. Immunohistochemistry revealed that AQP9 was dominantly localized on the plasma membrane of hepatocytes, while AQP3 and AQP7 exhibited a predominantly cytoplasmic and nuclear distribution. High expression of AQP3 was significantly (P<0.05) associated with low expression levels of AQP7 and AQP9. High expression of AQP3 was correlated with tumor grade (P=0.017), tumor stage (P=0.010) and lymphatic metastasis (P=0.031). Low expression of AQP7 was correlated with tumor grade (P=0.043). AQP3 was upregulated, and AQP7 and AQP9 were downregulated in HCC. A high expression of AQP3 and low expression of AQP7 was significantly associated with the aggressive features of HCC.

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Year:  2016        PMID: 27121567     DOI: 10.3892/mmr.2016.5184

Source DB:  PubMed          Journal:  Mol Med Rep        ISSN: 1791-2997            Impact factor:   2.952


  14 in total

Review 1.  Gender Differences in Adipocyte Metabolism and Liver Cancer Progression.

Authors:  Otto K-W Cheung; Alfred S-L Cheng
Journal:  Front Genet       Date:  2016-09-20       Impact factor: 4.599

Review 2.  Implications of Aquaglyceroporin 7 in Energy Metabolism.

Authors:  Francesco Maria Iena; Janne Lebeck
Journal:  Int J Mol Sci       Date:  2018-01-04       Impact factor: 5.923

3.  The possible association between AQP9 in the intestinal epithelium and acute liver injury‑induced intestinal epithelium damage.

Authors:  Tianxin Xiang; Shanfei Ge; Jiangxiong Wen; Junfeng Xie; Lixia Yang; Xiaoping Wu; Na Cheng
Journal:  Mol Med Rep       Date:  2018-10-10       Impact factor: 2.952

Review 4.  Nuclear Receptor Regulation of Aquaglyceroporins in Metabolic Organs.

Authors:  Matteo Tardelli; Thierry Claudel; Francesca Virginia Bruschi; Michael Trauner
Journal:  Int J Mol Sci       Date:  2018-06-15       Impact factor: 5.923

5.  Study of Gene Expression Profiles of Breast Cancers in Indian Women.

Authors:  Shreshtha Malvia; Sarangadhara Appala Raju Bagadi; Dibyabhaba Pradhan; Chintamani Chintamani; Amar Bhatnagar; Deepshikha Arora; Ramesh Sarin; Sunita Saxena
Journal:  Sci Rep       Date:  2019-07-10       Impact factor: 4.379

6.  circHIPK3 regulates cell proliferation and migration by sponging miR-124 and regulating AQP3 expression in hepatocellular carcinoma.

Authors:  Genwen Chen; Yanting Shi; Mengmeng Liu; Jianyong Sun
Journal:  Cell Death Dis       Date:  2018-02-07       Impact factor: 8.469

Review 7.  Aquaglyceroporins: Drug Targets for Metabolic Diseases?

Authors:  Giuseppe Calamita; Jason Perret; Christine Delporte
Journal:  Front Physiol       Date:  2018-07-10       Impact factor: 4.566

Review 8.  Circular RNAs: Characteristics, Function and Clinical Significance in Hepatocellular Carcinoma.

Authors:  Man Wang; Fei Yu; Peifeng Li
Journal:  Cancers (Basel)       Date:  2018-08-02       Impact factor: 6.639

9.  Prognostic value and immune infiltration of novel signatures in clear cell renal cell carcinoma microenvironment.

Authors:  Wen-Hao Xu; Yue Xu; Jun Wang; Fang-Ning Wan; Hong-Kai Wang; Da-Long Cao; Guo-Hai Shi; Yuan-Yuan Qu; Hai-Liang Zhang; Ding-Wei Ye
Journal:  Aging (Albany NY)       Date:  2019-09-07       Impact factor: 5.682

10.  Analyzing gene expression data for pediatric and adult cancer diagnosis using logic learning machine and standard supervised methods.

Authors:  Damiano Verda; Stefano Parodi; Enrico Ferrari; Marco Muselli
Journal:  BMC Bioinformatics       Date:  2019-11-22       Impact factor: 3.169

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