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Objective:This work aims to explore the application value of cervical exfoliated cell DNA (Cysteine dioxygenase type 1, CDO1 and CUGBP Elav-like family member 4, CELF4) methylation in the detection of endometrial cancer in women of childbearing age. Methods:From November 2021 to October 2022, a prospective study was conducted on a total number of 517 reproductive-age women with abnormal uterine bleeding who had surgical indications for hysteroscopy at the Xiangya Third Hospital of Central South University. The cervical exfoliated cells were collected for cytology, HPV (human papillomavirus) and gene methylation detection before operation. Clinical information of patients, level of tumor-related biomarkers, and endometrial thickness of transvaginal ultrasound (TVS) were also collected. Single factor regression method was used to analyze the high-risk factors of endometrial cancer. Receiver operating characteristic curve analysis was used to obtain the area under the curve(AUC), focusing on the screening efficacy of gene methylation test for endometrial cancer in women of childbearing age.Results:The age, body mass index (BMI)≥25 kg/m 2, endometrial thickness≥11 mm, CDO1 m ΔCt≤8.4, CELF4 m ΔCt≤8.8, and double gene methylation were associated with endometrial cancer in women of childbearing age, 1.16(1.08-1.25), 4.33(1.89-10.31), 9.49(3.88-26.69), 69.62(25.70-224.36), 23.64(9.66-63.99), 87.39(24.83-555.05), all P<0.05. The AUC was 0.90 (95% CI 0.83-0.97) of CDO1 m/ CELF4 m in diagnosing endometrial carcinoma was higher than others factors, with sensitivity and specificity of 91.7% (95% CI 80.6%-100%) and 88.8% (95% CI 86.0%-91.6%). TVS combined with DNA methylation detection further improved the sensitivity to 95.8% (95% CI 87.8%-100%), but could not improve the specificity 68.0% (95% CI 63.8%-72.1%). Conclusions:For women of childbearing age with abnormal uterine bleeding or abnormal vaginal discharge, the accuracy of cervical cytology DNA methyl detection of endometrial cancer is better than other non-invasive clinical programs. DNA methylation combined with TVS can improve the sensitivity of detection.
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Objective To investigate the dynamic changes of peripheral blood lymphocyte subsets and their correlation with renal function in recipients with stable graft status after renal transplantation. Methods Forty-five recipients who underwent renal transplantation for the first time and had stable graft function within postoperative 6 months were selected. The proportion and absolute value of lymphocyte subsets were detected by flow cytometry (FCM) in 180 peripheral blood samples from recipients at 15 d, 1, 3 and 6 months after renal transplantation. The dynamic changes of lymphocyte subsets with the extension of postoperative time and their correlation with serum creatinine (Scr) and blood urea nitrogen (BUN) were analyzed. Results The Scr levels did not significantly differ at 4 time points after renal transplantation (all P > 0.05). The BUN levels significantly differed between 15 d and 1 month after renal transplantation, and between 1 and 3 months after renal transplantation (P=0.002, P=0.001). The proportion of CD3+CD8+T cells, CD3+CD4+T cells, natural killer (NK) cells and CD4/CD8 ratio at postoperative 15 d significantly differed from those at 1 month after operation (P=0.009, P=0.004, P < 0.001, P=0.004). The proportion of B cells significantly differed between 15 d and 1 month, and between 1 and 3 months after renal transplantation (both P < 0.001). The absolute values of CD3+T cells, CD3+CD8+T cells, CD3+CD4+T cells and NK cells at postoperative 15 d significantly differed from those at 1 month after renal transplantation (P=0.001, P=0.002, P=0.003, P < 0.001). The absolute values of CD3+CD8+T cells significantly differed between 3 and 6 months after operation (P=0.015). The absolute value of B cells at 1 month after renal transplantation significantly differed from that at 3 months after renal transplantation (P=0.001). The proportion and absolute value of lymphocyte subsets were not significantly correlated with the Scr level (both P > 0.05). The proportion and absolute value of CD3+CD8+T cells and NK cells were negatively correlated with BUN (P < 0.001-0.05), whereas the proportion of CD3+CD4+T cells and B cells was positively correlated with the BUN level (P < 0.001-0.05). The absolute value of CD3+T cells was negatively associated with the BUN level (P < 0.05). Conclusions T cells and NK cells in the lymphocyte subsets of stable recipients raise to the stable state within 1 month after renal transplantation, whereas B cells decrease to stable state within 3 months renal transplantation. The dynamic changes of lymphocyte subsets are correlated with the BUN level.