Literature DB >> 27272814

ABCG2 Overexpression Confers Poor Outcomes in Hepatocellular Carcinoma of Elderly Patients.

Yao-Li Chen1, Po-Ming Chen2, Ping-Yi Lin3, Ya-Tze Hsiau4, Pei-Yi Chu5.   

Abstract

UNLABELLED: Backgroung/Aim: Breast cancer resistance protein [BCRP/ATP-binding cassette subfamily G member 2 (ABCG2)] is a member of the ATP-binding cassette transporter family, used as a maker of cancer stem cells (CSCs) and thought to be responsible for drug resistance by pumping them out of cells. However, its precise role in various cancer types has been controversial, and the aim of this study was to investigate the expression of ABCG2 in hepacellular carcinoma (HCC) and relate the results to established prognostic factors. PATIENTS AND METHODS: We conducted analysis of 181 HCC and paired-match adjacent normal liver tissue by immunohistochemistry from tissue array of slides.
RESULTS: The mean score for ABCG2 expression was higher in tumor than in adjacent normal liver tissue of HCC patients (p<0.001). There was a statistically significant correlation between ABCG2 expression and age, differentiation status and hepatitis B surface antigen (p=0.031, p=0.015 and p=0.033, respectively). Additionally, increased expression of ABCG2 in HCC and its statistically significant correlation with hepatitis B surface antigen was found in elderly (p=0.039), not in younger patients (p=0.518). Importantly, by using Kaplan-Meier and Cox regression analysis, overall survival in patients with high expression of ABCG2 was found reduced in elderly patients (p=0.029 and p=0.081, respectively).
CONCLUSION: ABCG2 can be used as a target for the development of novel therapies in HCC. Copyright
© 2016 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved.

Entities:  

Keywords:  ABCG2; elderly patients; hepatocellular carcinoma; poor prognosis

Mesh:

Substances:

Year:  2016        PMID: 27272814

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  9 in total

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6.  A Novel Epigenetic Machine Learning Model to Define Risk of Progression for Hepatocellular Carcinoma Patients.

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Review 7.  Clinically-Relevant ABC Transporter for Anti-Cancer Drug Resistance.

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Journal:  Front Pharmacol       Date:  2021-04-19       Impact factor: 5.810

Review 8.  Pharmacogenetics of hepatocellular carcinoma and cholangiocarcinoma.

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Review 9.  Expression of Chemoresistance-Associated ABC Proteins in Hepatobiliary, Pancreatic and Gastrointestinal Cancers.

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Journal:  Cancers (Basel)       Date:  2022-07-20       Impact factor: 6.575

  9 in total

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