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Asian Pac J Cancer Prev ; 13(5): 2133-7, 2012.
Article in English | MEDLINE | ID: mdl-22901182

ABSTRACT

OBJECTIVE: To investigate the prognostic role of antigen KI-67 (Ki-67) and G1/S-specific cyclin-D1 (cyclin-D1) in patients with laryngeal squamous cell carcinoma (LSCC). METHODS: Immunohistochemical staining (IHS) was used to determine the protein expression of Ki-67 and cyclin-D1 in LSCC tissues. Kaplan-Meier survival curves was calculated with reference to Ki-67 and cyclin-D1 levels. RESULTS: Cyclin-D1 and Ki67 were expressed in the nuclei of cancer cells. Among the total of 92 cancer tissues examined by immunohistochemistry, 60 (65.22%) had cyclin-D1 overexpression and 56 (60.87%) had Ki67 overexpression. Cyclin-D1 overexpression is associated with the advanced stage of the cancer (P=0.029), but not with gender, age, stage of cancer, histological differentiation, anatomical site, smoking history and alcohol consumption history. Ki67 overexpression is not associated with the advanced stage, gender, age, histological differentiation, anatomical site, smoking history and alcohol consumption history. A statistically significant correlation was found between lymph node status and the expression of Ki67 (p=0.025). Overexpression of cyclin-D1 was correlated to shorter relapse-free survival period (P<0.001). CONCLUSIONS: Overexpression of cyclin-D1 can be used as a marker to predict relapse in patients with LSCC after primary curative resection.


Subject(s)
Biomarkers, Tumor/metabolism , Carcinoma, Squamous Cell/metabolism , Cyclin D1/metabolism , G1 Phase/physiology , Laryngeal Neoplasms/metabolism , Neoplasm Recurrence, Local/metabolism , S Phase/physiology , Adult , Aged , Carcinoma, Squamous Cell/mortality , Carcinoma, Squamous Cell/pathology , Female , Follow-Up Studies , Humans , Immunoenzyme Techniques , Ki-67 Antigen/metabolism , Laryngeal Neoplasms/mortality , Laryngeal Neoplasms/pathology , Male , Middle Aged , Neoplasm Recurrence, Local/mortality , Neoplasm Recurrence, Local/pathology , Neoplasm Staging , Prognosis , Survival Rate
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