Zhiwang Song, Yun Lin, Xiaojuan Ye, Chan Feng, Yonglin Lu, Guang Yang, Chunyan Dong
Breast Cancer Center, Shanghai East Hospital, Tongji University, Shanghai, China (mainland)
Med Sci Monit 2016; 22:4475-4481
IL-1α and IL-6 are associated with the prognosis of a wide range of cancers, but their value in cervical cancer remains controversial. The aim of this study was to investigate the expression of IL-1α and IL-6 in cervical cancer and their significance in clinical prognosis.
MATERIAL AND METHODS: The expression of IL-1α and IL-6 in 105 formalin-fixed, paraffin-embedded cervical cancer tissues and adjacent non-tumor tissues was examined by immunohistochemistry. The results were semi-quantitatively scored and analyzed by chi-square test. Patient overall survival (OS) data was collected by follow-up and analyzed by Kaplan-Meier analysis.
RESULTS: The expression level of both IL-1α and IL-6 in cervical cancer tissue was higher than in adjacent non-tumor tissues (p<0.05). IL-1α expression was shown to be correlated with tumor size, FIGO histology grade, lymph node metastasis, stromal invasion, and tumor differentiation (p<0.05). IL-6 expression was shown to be correlated with tumor size, FIGO histology grade, and tumor differentiation (p<0.05). Patients with positive expression of IL-1α or IL-6 tended to have much shorter survival times than patients with negative expression. In addition, a multivariate Cox regression analysis demonstrated that IL-1α expression and lymph node metastasis were independent predictors of OS in cervical cancer patients.
CONCLUSIONS: The expression of IL-1α was significantly associated with tumor size, FIGO histology grade, lymph node metastasis, stromal invasion, and tumor differentiation. The expression of IL-6 was significantly associated with tumor size, FIGO histology grade, and tumor differentiation. Positive IL-1α and IL-6 expression was significantly correlated with poor prognosis. They may be considered valuable biomarkers for prognosis and potential therapeutic targets for cervical cancer.
Keywords: Biomarkers, Tumor - genetics, Adult, Disease Progression, Interleukin-1alpha - genetics, Interleukin-6 - genetics, Kaplan-Meier Estimate, Lymphatic Metastasis, Neoplasm Staging, Prognosis, Uterine Cervical Neoplasms - pathology