Papers

Peer-reviewed
Sep, 2009

Quantitative proteomics using formalin-fixed paraffin-embedded tissues of oral squamous cell carcinoma

CANCER SCIENCE
  • Ayako Negishi
  • Mari Masuda
  • Masaya Ono
  • Kazufumi Honda
  • Miki Shitashige
  • Reiko Satow
  • Tomohiro Sakuma
  • Hideya Kuwabara
  • Yukihiro Nakanishi
  • Yae Kanai
  • Ken Omura
  • Setsuo Hirohashi
  • Tesshi Yamada
  • Display all

Volume
100
Number
9
First page
1605
Last page
1611
Language
English
Publishing type
Research paper (scientific journal)
DOI
10.1111/j.1349-7006.2009.01227.x
Publisher
WILEY-BLACKWELL PUBLISHING, INC

Clinical proteomics using a large archive of formalin-fixed paraffin-embedded (FFPE) tissue blocks has long been a challenge. Recently, a method for extracting proteins from FFPE tissue in the form of tryptic peptides was developed. Here we report the application of a highly sensitive mass spectrometry (MS)-based quantitative proteome method to a small amount of samples obtained by laser microdissection from FFPE tissues. Cancerous and adjacent normal epithelia were microdissected from FFPE tissue blocks of 10 squamous cell carcinomas of the tongue. Proteins were extracted in the form of tryptic peptides and analyzed by 2-dimensional image-converted analysis of liquid chromatography and mass spectrometry (2DICAL), a label-free quantitative proteomics method developed in our laboratory. From a total of 25 018 peaks we selected 72 mass peaks whose expression differed significantly between cancer and normal tissues (P < 0.001, paired t-test). The expression of transglutaminase 3 (TGM3) was significantly down-regulated in cancer and correlated with loss of histological differentiation. Hypermethylation of TGM3 gene CpG islands was observed in 12 oral squamous cell carcinoma (OSCC) cell lines with reduced TGM3 expression. These results suggest that epigenetic silencing of TGM3 plays certain roles in the process of oral carcinogenesis. The method for quantitative proteomic analysis of FFPE tissue described here offers new opportunities to identify disease-specific biomarkers and therapeutic targets using widely available archival samples with corresponding detailed pathological and clinical records. (Cancer Sci 2009; 100: 1605-1611).

Link information
DOI
https://doi.org/10.1111/j.1349-7006.2009.01227.x
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/19522851
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000268923800008&DestApp=WOS_CPL
ID information
  • DOI : 10.1111/j.1349-7006.2009.01227.x
  • ISSN : 1347-9032
  • Pubmed ID : 19522851
  • Web of Science ID : WOS:000268923800008

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