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Expression of carbonic anhydrases I/II and the correlation to clinical aspects of oral squamous cell carcinoma analyzed using tissue microarray
Author(s) -
Liu ChiaMing,
Lin YuehMin,
Yeh KunTu,
Chen MuKuan,
Chang JerHwa,
Chen ChihJung,
Chou MingYung,
Yang ShunFa,
Chien MingHsien
Publication year - 2012
Publication title -
journal of oral pathology and medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.887
H-Index - 83
eISSN - 1600-0714
pISSN - 0904-2512
DOI - 10.1111/j.1600-0714.2012.01135.x
Subject(s) - carcinogenesis , tissue microarray , acetazolamide , carbonic anhydrase ii , cancer research , metastasis , cancer , basal cell , carbonic anhydrase , pathology , cell growth , isozyme , carcinoma , chemistry , immunohistochemistry , biology , medicine , enzyme , biochemistry
J Oral Pathol Med (2012) 41 : 533–539 Background: Carbonic anhydrases (CA), a family of metalloenzymes, play an important role in catalyzing the equilibration of carbon dioxide (CO 2 ) and carbonic acid (H 2 CO 3 ). The role of CAs in tumorigenesis is controversial, especially regarding the expression of CA isoenzymes between various tumor types. This study explores the correlation between the expressions of CA I and CA II and the characteristic features of oral cancer. Methods: We immunohistochemically examined the expressions of CA I and CA II in 279 cases of oral squamous cell carcinoma (OSCC) using tissue microarrays. Additionally, the oral cancer cell line SCC‐9 was used to confirm the relationship between CA I and CA II expression and cell growth. Results: We found a significant correlation between positive CA I and CA II stains and OSCC for more advanced clinical stage ( P = 0.014 or 0.012) and larger tumor size ( P = 0.008 or 0.038), but not for positive lymph node metastasis, distal metastasis, and recurrence. In vitro analysis also showed that treatment with a CA inhibitor, acetazolamide, inhibited the growth of SCC‐9 cells. Conclusion: We conclude that expressions of CA I and CA II in OSCC samples can be used to predict local tumor growth in OSCC patients.