Direct tissue analysis by MALDI-TOF mass spectrometry in human hepatocellular carcinoma

Eric C. Han*, Ying Shiung Lee, Wen Sin Liao, Yu Ching Liu, Hsin Yi Liao, Long Bin Jeng

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

24 Scopus citations

Abstract

Background: The prognosis of hepatocellular carcinoma (HCC) relies mainly on histopathological imaging examinations after surgical removal of the tumor. However, the rate of tumor recurrence is still high. Defining molecular signatures comprised of a number of distinct peptide ions specific for various tumor regions may improve the classification and prognosis of HCC patients. Methods: MALDI imaging technology, cluster analysis and classification software were applied to investigate patients with hepatitis B virus (HBV)-related HCC to obtain differences in protein abundance and distribution from non-tumor to tumor regions. Results: A number of mass spectra obtained from non-tumor and HCC tumor sections were readily distinguishable. Progressive change was found in a distance-dependent manner from non-tumor to tumor regions within the junction section of HCC. Fourteen of the peaks were determined from non-tumor and tumor sections as classifiers to classify various non-tumor and tumor regions of the junction section of HCC. The performance of the classification test for the tumor region with a coefficient of variation (CV) of 0.16 was better than the non-tumor region, which reached a CV of 0.53. Conclusions: Our findings provide peptide information pertaining to the classification of various tumor regions to supplement current histopathological analysis in tumor margins.

Original languageEnglish
Pages (from-to)230-239
Number of pages10
JournalClinica Chimica Acta
Volume412
Issue number3-4
DOIs
StatePublished - 30 01 2011
Externally publishedYes

Keywords

  • Hepatocellular carcinoma
  • Imaging
  • MALDI
  • Proteomics
  • Tumor margins

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