Next Article in Journal
Semaphorin 3C and Its Receptors in Cancer and Cancer Stem-Like Cells
Next Article in Special Issue
Tumor Molecular Profiling for an Individualized Approach to the Treatment of Hepatocellular Carcinoma: A Patient Case Study
Previous Article in Journal
Roles of NF-κB Signaling in the Regulation of miRNAs Impacting on Inflammation in Cancer
Previous Article in Special Issue
Update in Systemic and Targeted Therapies in Gastrointestinal Oncology
Article Menu
Issue 2 (June) cover image

Export Article

Open AccessArticle
Biomedicines 2018, 6(2), 41; https://doi.org/10.3390/biomedicines6020041

Transcriptome Analysis of Acute Phase Liver Graft Injury in Liver Transplantation

1
Department of Surgery, The University of Hong Kong, Hong Kong, China
2
Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou 310003, China
3
Department of Computer Science, The University of Hong Kong, Hong Kong, China
*
Author to whom correspondence should be addressed.
Received: 22 December 2017 / Revised: 4 April 2018 / Accepted: 5 April 2018 / Published: 6 April 2018
(This article belongs to the Special Issue Cancer Biomarkers and Targets in Digestive Organs)
Full-Text   |   PDF [9820 KB, uploaded 3 May 2018]   |  

Abstract

Background: Liver transplantation remains the treatment of choice for a selected group of hepatocellular carcinoma (HCC) patients. However, the long-term benefit is greatly hampered by post-transplant HCC recurrence. Our previous studies have identified liver graft injury as an acute phase event leading to post-transplant tumor recurrence. Methods: To re-examine this acute phase event at the molecular level and in an unbiased way, RNA sequencing (RNA-Seq) was performed on liver graft biopsies obtained from the transplant recipients two hours after portal vein reperfusion with an aim to capture frequently altered pathways that account for post-transplant tumor recurrence. Liver grafts from recurrent recipients (n = 6) were sequenced and compared with those from recipients without recurrence (n = 5). Results: RNA expression profiles comparison pointed to several frequently altered pathways, among which pathways related to cell adhesion molecules were the most involved. Subsequent validation using quantitative polymerase chain reaction confirmed the differential involvement of two cell adhesion molecules HFE (hemochromatosis) and CD274 and their related molecules in the acute phase event. Conclusion: This whole transcriptome strategy unravels the molecular landscape of liver graft gene expression alterations, which can identify key pathways and genes that are involved in acute phase liver graft injury that may lead to post-transplant tumor recurrence. View Full-Text
Keywords: Liver transplantation; liver graft injury; intragraft gene expression profiles; cell adhesion molecules; CD274; HFE Liver transplantation; liver graft injury; intragraft gene expression profiles; cell adhesion molecules; CD274; HFE
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary materials

  • Supplementary File 1:

    PDF-Document (PDF, 355 KB)

  • Externally hosted supplementary file 1
    Doi: No
    Link: http://No
    Description: Supplementary Table 1 to 6
SciFeed

Share & Cite This Article

MDPI and ACS Style

Lee, N.P.; Wu, H.; Ng, K.T.; Luo, R.; Lam, T.-W.; Lo, C.-M.; Man, K. Transcriptome Analysis of Acute Phase Liver Graft Injury in Liver Transplantation. Biomedicines 2018, 6, 41.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Biomedicines EISSN 2227-9059 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top