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Fascin and CK4 as biomarkers for esophageal squamous cell carcinoma.

AbstractBACKGROUND:
Several studies have suggested that fascin, cytokeratin 14 and cytokeratin 4 may have significant roles as biomarkers for the progression and survival of esophageal squamous cell carcinoma (ESCC).
MATERIALS AND METHODS:
This study performed immunohistochemistry in tissue microarrays, profiling premalignant lesions and invasive tumors.
RESULTS:
Fascin increased across the following states as follows: normal-appearing epithelium (26%) to dysplasia (46%) to ESCC (68%), while CK4 was undetectable in ESCC (0%) compared to normal-appearing epithelium (45%) or dysplasia (41%). CK14 was elevated and invariant in expression. In regression analyses, compared to normal-appearing epithelium, higher fascin expression was associated with a 36% increased risk of dysplasia (odds ratio=1.36) and a 56% increased risk of invasive ESCC (odds ratio=1.56).
CONCLUSION:
Expression of fascin is up-regulated in the transformation from normal-appearing epithelium, through dysplasia, into invasive carcinoma. Expression of CK4, CK14 and fascin did not correlate with patient survival. Fascin has a potential role as an early detection biomarker and CK4 as a tumor marker in ESCC.
AuthorsMikiko Takikita, Nan Hu, Jian-Zhong Shou, Carol Giffen, Quan-Hong Wang, Chaoyu Wang, Stephen M Hewitt, Philip R Taylor
JournalAnticancer research (Anticancer Res) Vol. 31 Issue 3 Pg. 945-52 (Mar 2011) ISSN: 1791-7530 [Electronic] Greece
PMID21498718 (Publication Type: Journal Article)
Chemical References
  • Biomarkers, Tumor
  • Carrier Proteins
  • Keratin-4
  • Microfilament Proteins
  • fascin
Topics
  • Biomarkers, Tumor (genetics, metabolism)
  • Biopsy
  • Carcinoma, Squamous Cell (genetics, metabolism, pathology)
  • Carrier Proteins (genetics, metabolism)
  • Esophageal Neoplasms (genetics, metabolism, pathology)
  • Female
  • Genes, Neoplasm (genetics)
  • Humans
  • Immunohistochemistry
  • Keratin-4 (genetics, metabolism)
  • Male
  • Microfilament Proteins (genetics, metabolism)
  • Middle Aged
  • Odds Ratio
  • Regression Analysis
  • Risk Factors
  • Statistics, Nonparametric
  • Survival Analysis
  • Tissue Array Analysis

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