YANG Kai, et al. Prediction of chemosensitivity to combination neoadjuvant chemotherapy with carboplatin and 5-Fu for the patients with oral squamous cell carcinoma. [J]. Journal of Chongqing Medical University (6):798-800(2006)
YANG Kai, et al. Prediction of chemosensitivity to combination neoadjuvant chemotherapy with carboplatin and 5-Fu for the patients with oral squamous cell carcinoma. [J]. Journal of Chongqing Medical University (6):798-800(2006)DOI:
Prediction of chemosensitivity to combination neoadjuvant chemotherapy with carboplatin and 5-Fu for the patients with oral squamous cell carcinoma
Objective:To investigate the expression of P53and proliferating cell nuclear antigen(PCNA)in oral squamous cell carcinoma(OSCC)and its chemosensitive predictive value to neoadjuvant chemotherapy(NACT) with Carboplatin and 5-Fu for the patients with OSCC.Methods:50 patients with T2~T4 OSCC were examined by using SP immunohistochemistry before and after two NACT courses.the correlation between expression level of PCNA and P53 and therapeutic effect was analyzed.Results:①Expression level of PCNA and P53 was significantly associated with response to chemotherapy(P <0.05);② The effective rates of PCNA high expression and P53 negative expression in OSCC before NACT was 90.00%
it was significantly higher than that of other expression types(P <0.05)
and the effective rates of PCNA low expression and P53 positive expression was 14.29%
it was significantly lower than that of other expression types(P <0.05).Conclusion:Expression level of both PCNA and P53 can be used as a chemosensitive predictive marker to neoadjuvant chemotherapy with Carboplatin and 5-Fu for the patients with OSCC
and combined analysis of PCNA and P53 expression has higher predictive value than that of either PCNA or P53.
Relationship between expression of p53、cerbB-2 and the effect of neoadjuvant chemotherapy using taxinol and epirubicin in breast cancer
Expression of multiple resistance-associated protein and P-glycoprotein in oral squamous cell carcinoma for prediction of response to neoadjuvant chemotherapy
Pathomics signature based on machine learning can predict the response to neoadjuvant chemotherapy in breast cancer patients
Expression and correlation of cancer stem-like cell markers CD44, ALDH1,NANOG and hypoxia inducible factor-1α in oral squamous cell carcinoma
IL-17-JAK2/STAT3 signaling pathway reduces chemo-induced apoptosis in hepatocellular carcinoma through regulating p53
Related Author
FAN Qingdong
et al
杨新华
范林军
周艳
YANG Kai
et al
孙德平
Related Institution
第三军医大学西南医院乳腺中心
Breast Disease Center,Southwest Hospital,the Third Military Medical University
Department of Medical Engineering Technology,School of Medical Information and Engineering,Southwest Medical University
Department of Pathology,The Affiliated Hospital of Southwest Medical University
Department of Epidemiology and Health Statistics, School of Public Health,Southwest Medical University