Correlation of MACC1/c-Myc Expression in Endometrial Carcinoma with Clinical/Pathological Features or Prognosis
Qinghua Zhang, Ping Xu, Yanxia Lu, Hongtao Dou
Department of Gynecology, Central Hospital of Zibo in Shandong, Zibo, Shandong, China (mainland)
Med Sci Monit 2018; 24: CLR4738-4744
Available online: 2018-07-09
Endometrial carcinoma (EC) is a type of female reproductive malignant tumor, the incidence of which is generally 20~30%. Multiple factors and genes are involved in the regulation of EC occurrence and progression. This study aimed to measure the expressions of MACC1 and c-Myc in EC patients to analyze their correlation with pathological features of EC.
MATERIAL AND METHODS: A total of 60 EC patients were recruited in the experimental group, while another cohort of 30 people with endometrial inflammatory hyperplasia was enrolled in the control group. The levels of serum MACC1 and c-Myc were measured by ELISA, and the protein expressions in EC cancer tissues, tumor-adjacent tissues, and controlled endometrial tissues were detected by immunohistochemistry (IHC). The correlation between gene expression and clinical/pathological features was then determined.
RESULTS: Our data indicate that the level of serum MACC1 and c-Myc in the experimental group was 1.67±0.08 ng/ml and 1.78±0.07 ng/ml, respectively, both of which were significantly higher than that of the control group (p<0.05). However, no significant difference was found among levels of serum MACC1 or c-Myc at different TNM stages (p>0.05). In cancer tissues, the positive rate of MACC1 or c-Myc was 73.3% and 78.3%, respectively, which were significantly higher than that in adjacent or control tissues (p<0.05). MACC1/c-Myc expression was correlated with TNM stage, primary infiltration grade, lymph node metastasis, and distal metastasis (p<0.05).
CONCLUSIONS: MACC1 and c-Myc are highly expressed in serum and tumor tissues of EC patients. Both are correlated with TNM stage, primary infiltration, and lymph node or distal metastasis, which provides a scientific basis for the development of new biomarkers for the diagnosis of endometrial carcinoma.
Keywords: Endometrial Neoplasms, Fractures, Spontaneous, Genes, myc