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Authors Liu H, Chen H, Wu X, Sun Y, Wang Y, Zeng Y, Chen G, Liu X, Xing X, Zhao B, Liu J
Received 11 October 2018
Accepted for publication 19 February 2019
Published 10 April 2019 Volume 2019:11 Pages 2935—2946
DOI https://doi.org/10.2147/CMAR.S190561
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Colin Mak
Peer reviewer comments 2
Editor who approved publication: Dr Chien-Feng Li
Purpose: There is
still lacking of highly sensitive and specific biomarkers for the prediction of
hepatocellular carcinoma (HCC) early recurrence, which has hindered further
improvement of the clinical outcomes. We aim to find highly sensitive and
specific biomarkers for the prediction of HCC recurrence.
Patients and methods: By using
isobaric tags for relative and absolute quantitation (iTRAQ)-based
multidimensional liquid chromatography-tandem mass spectrometry (2D LC-MS/MS)
technique, we have quantitatively investigated and monitored the proteome
alterations of a series of serum after radical resection during the follow-up
of 4 HCC patients.
Results: A total
of 27 differentially abundant proteins (DAPs) in serum were identified to be
closely associated with the early recurrence of HCC, and these DAPs were
particularly concentrated within ERK1/2 and nuclear factor-κ beta signaling
pathways, suggesting the dysregulation of these two pathways played an
important role in the pathological process of HCC early recurrence. Further
investigation of a cohort of patients confirmed that the high serum level of
PGK1 was closely associated with HCC early recurrence and poor prognosis. In
addition, the serum level of PGK1 could be complementary with AFP to further
improve the sensitivity and specificity for predicting the relapse of HCC.
Conclusion: PGK1
might be an independent factor for the recurrence of HCC. And the PGK1 could be
complementary with AFP to further improve the sensitivity and specificity in
prognostic prediction of HCC relapse.
Keywords: hepatocellular
carcinoma, early recurrence, serum proteomics, iTRAQ, PGK1
