Annals of Surgical Oncology

, Volume 19, Issue 11, pp 3506–3514 | Cite as

Keratin 17 Expression Correlates with Tumor Progression and Poor Prognosis in Gastric Adenocarcinoma

  • Munenori Ide
  • Toshihide Kato
  • Kyoichi Ogata
  • Erito Mochiki
  • Hiroyuki Kuwano
  • Tetsunari Oyama
Gastrointestinal Oncology



Keratin 17 (K17) is regarded as a basal/myoepithelial cell keratin and is known to be inducible in activated keratinocytes. The high frequency of K17 expression in pancreaticobiliary nonmucinous adenocarcinoma or basal-like breast carcinoma has previously been described. However, its expression in gastric cancer (GC) is controversial.


We investigated the clinicopathological features and prognostic significance of 192 patients with GC by immunohistochemical staining of tissue microarrays. Analysis of epithelial markers including K17, K14, and K5/6, cell cycle-associated proteins p53, Ki-67, and 14-3-3 sigma, and mucinous phenotype markers including CD10, CDX2, MUC5AC, and MUC6 was performed.


Cytoplasmic expression of K17 was observed in 95 (49.5 %) of 192 patients with GC. K17 expression positively correlated with lymph node metastasis (P = 0.003) and advanced stages of the disease (P = 0.014). K17 expression was significantly correlated with 14-3-3 sigma expression (P < 0.001) and CD10 expression (P = 0.015). The overall survival rates of patients with K17-positive GC were significantly lower than those with negative K17 expression (50.5 vs. 71.1 %, P = 0.004). Univariate analysis revealed that K17 expression confers a poor prognosis in patients with GC (P = 0.004), and it was also an independent prognostic factor in multivariate analysis (P = 0.049).


K17 expression is correlated with tumor progression in GC and may serve as a biomarker for poor prognosis.


Gastric Cancer Gastric Cancer Tissue Regional Lymph Node Metastasis Tubular Adenocarcinoma CDX2 Expression 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We thank Aiko Nobusawa for the manufacture of silicon mold tissue array blocks, Makiko Saito for the construction of tissue arrays, and Toshiaki Hikino for immunohistochemistry.


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Copyright information

© Society of Surgical Oncology 2012

Authors and Affiliations

  • Munenori Ide
    • 1
    • 2
    • 3
  • Toshihide Kato
    • 1
    • 2
  • Kyoichi Ogata
    • 2
  • Erito Mochiki
    • 2
  • Hiroyuki Kuwano
    • 2
  • Tetsunari Oyama
    • 1
  1. 1.Department of Diagnostic PathologyGunma University Graduate School of MedicineMaebashiJapan
  2. 2.Department of General Surgical ScienceGunma University Graduate School of MedicineMaebashiJapan
  3. 3.Center for Medical EducationGunma University Graduate School of MedicineMaebashiJapan

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