PIK3CA gene mutation in gynecological tumors and its relationship with median survival time of patients
GUO Yuanli TAO Ying▲ LIAO Fenger WU Minmin XIAO Peihong DU Jing YANG Wensheng
Department of Obstetrics and Gynecology, the First Affiliated Hospital of Guangdong Pharmaceutical University, Guangdong Province, Guangzhou 510080, China
Abstract:Objective To investigate PIK3CA gene mutation in gynecological tumors and to analyze its relationship with the survival time of patients. Methods The tumor tissue samples of 110 patients with gynecological tumors admitted to the First Affiliated Hospital of Guangdong Pharmaceutical University from January 2017 to January 2021 were selected, including 30 cases of endometrial cancer, 40 cases of cervical cancer, and 40 cases of ovarian cancer. PIK3CA gene mutation was detected in 110 patients with gynecological tumors, and the relationship between PIK3CA gene mutation and prognosis was analyzed. Results Among 110 patients, 61 cases (55.45%) had PIK3CA gene mutation, and the most common base mutation was c.G1633A. The mutation rates of PIK3CA in cervical cancer and ovarian cancer were 57.5% and 67.5%, respectively. There was statistical significance in the incidence of PIK3CA gene mutation between cancer tissues and adjacent tissues in patients with cervical cancer and ovarian cancer (P<0.05). The survival time of patients with PIK3CA mutation type in cervical cancer and ovarian cancer was shorter than that of PIK3CA wild type, and the difference was highly statistically significant (P<0.01); there was no significant difference between PIK3CA mutant type and wild type in endometrial cancer (P > 0.05). Conclusion PIk3CA gene mutation exists in gynecological tumors, especially in ovarian cancer and cervical cancer, and is closely related to the survival time of patients.
郭苑莉 陶莹▲ 廖凤儿 吴敏敏 肖培洪 杜静 杨文生. PIK3CA基因在妇科肿瘤中的突变情况及其与患者中位生存时间的关系[J]. 中国医药导报, 2023, 20(14): 25-28.
GUO Yuanli TAO Ying▲ LIAO Fenger WU Minmin XIAO Peihong DU Jing YANG Wensheng. PIK3CA gene mutation in gynecological tumors and its relationship with median survival time of patients. 中国医药导报, 2023, 20(14): 25-28.