Literature DB >> 24662128

Amplification and overexpression of TP63 and MYC as biomarkers for transition of cervical intraepithelial neoplasia to cervical cancer.

Da Zhu1, Xiao-Hui Jiang, Yun-Hui Jiang, Wen-Cheng Ding, Chang-Lin Zhang, Hui Shen, Xiao-Li Wang, Ding Ma, Zheng Hu, Hui Wang.   

Abstract

OBJECTIVE: Biopsy confirmed that cervical intraepithelial neoplasia (CIN) may naturally regress or progress. Currently, the risk assessment for CIN progression to cervical cancer is still not satisfactory in clinical practice. We investigated copy number and protein expression of TP63 and MYC and explored the possibility to use them as progression biomarkers.
METHODS: Copy numbers of TP63 and MYC, as well as human papilloma virus (HPV) integration status, were determined by fluorescence in situ hybridization in 39 patients with CIN and 66 patients with cervical cancer. Corresponding protein expressions were analyzed by immunohistochemistry. Receiver operating characteristic curves were used to measure the diagnostic test performance for the detection of cervical cancer from CIN. Sensitivity and specificity values of biomarkers were calculated.
RESULTS: The average copy number and expression of TP63 and MYC, as well as the HPV integration rate, increased in the progression of CIN to cervical cancer. Receiver operating characteristic analysis for detection of cervical cancer resulted in area under the curve (AUC) values of TP63 copy number (AUC, 0.96; 95% confidence interval [CI], 0.91-1.00), MYC copy number (AUC, 0.92; 95% CI, 0.85-0.96), TP63 expression (AUC, 0.73; 95% CI, 0.61-0.85), and HPV-16 integration (AUC, 0.73; 95% CI, 0.60-0.85). MYC expression was not able to statistically distinguish cancer from CIN (P = 0.393). The combinations increased the specificity slightly but not sensitivity. Among them, TP63 amplification showed the best diagnostic performance.
CONCLUSIONS: Amplification and overexpression of TP63 and MYC, and HPV integration rate, are associated with the transition of CIN to cervical cancer. Future studies on these biomarkers will help to assess the risk of CIN progression.

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Year:  2014        PMID: 24662128     DOI: 10.1097/IGC.0000000000000122

Source DB:  PubMed          Journal:  Int J Gynecol Cancer        ISSN: 1048-891X            Impact factor:   3.437


  9 in total

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