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  • Title: Siah-1 is associated with expression of hypoxia-inducible factor-1α in oral squamous cell carcinoma.
    Author: Aga M, Kondo S, Wakisaka N, Moriyama-Kita M, Endo K, Nakanishi Y, Murono S, Sugimoto H, Ueno T, Yoshizaki T.
    Journal: Auris Nasus Larynx; 2017 Apr; 44(2):213-219. PubMed ID: 27616748.
    Abstract:
    OBJECTIVE: Hypoxia-inducible factor-1 (HIF-1) is a heterodimeric basic helix-loop-helix transcription factor composed of the HIF-1α and HIF-1β subunits. HIF-1 is a central regulator of responses to hypoxia; it enhances metastasis-related factors such as matrix metalloproteinases and vascular endothelial growth factor (VEGF). We have reported critical roles for HIF-1α in tumor microenvironments, and oncogenic properties of HIF-1α have been suggested in malignancies. Seven in absentia homologue (Siah) appeared to upregulate HIF-1 production, which prompted us to investigate the Siah association with HIF-1α expression in oral squamous cell carcinoma (OSCC). METHODS: Samples from fifty-five patients with OSCC were evaluated by immunohistochemistry for the protein expressions of Siah-1 and -2, HIF-1α, and VEGF. The expression levels of each protein and clinicopathological data were statistically analyzed. RESULTS: Siah-1 and, Siah-2, HIF-1α, and VEGF were immunolocalized on the cell membranes and cytoplasm of the tumor cells. The expression of Siah-1 showed a linear dependence on the expression of HIF-1α (r=0.627, p<0.001). In 17 cases of the large tumor size category (T3 and 4), the mean Siah-1 expression score was significantly higher than in 41 cases of the small tumor size category (T1 and 2; p=0.001). In addition, in 16 cases of the lymph node metastasis-positive category (N1-3), the mean Siah-1 expression score was significantly higher than that in 42 cases of the lymph node metastasis-negative category (N0, p=0.001). CONCLUSION: These results suggested that the expressions of Siah-1 and HIF-1α were clearly correlated in OSCC. Moreover, Siah-1 appears to be correlated with clinicopathological data, particularly tumor size.
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