Objective To investigate the predictive value of preoperative systemic inflammatory response index(SIRI)combined with clinicopathological parameters for postoperative recurrence in cervical cancer and to construct a prognostic model in order to optimize recurrence risk assessment.Methods Patients with cervical cancer who underwent standard surgical treatment at the First Affiliated Hospital of Chongqing Medical University(training cohort,n=996)and Chongqing Maternal and Child Health Hospital(validation cohort,n=496)between January 2017 and January 2022 were retrospectively enrolled based on our strict inclusion and exclusion criteria.Univariate and multivariate Cox regression analyses were performed to identify independent prognostic factors for recurrence-free survival(RFS),and then a nomogram was constructed.Receiver operating characteristic(ROC)curve was plotted to assess the predictive performance of the model,and the area under the curve(AUC)and calibration curve were employed to evaluate the model.Kaplan-Meier survival analysis was performed to determine the clinical application.Results Cox regression analysis demonstrated that International Federation of Gynecology and Obstetrics(FIGO)stage(P<0.001),tumor size(P<0.001),pathological type(P<0.001),tumor grade(P=0.007),parametrial invasion(P<0.001),depth of myometrial invasion(P=0.019),lymphovascular space invasion(P=0.019),vaginal margin involvement(P=0.010),adjuvant therapy(P=0.012),and SIRI(P<0.001)were independent prognostic factors for RFS.Our nomogram model based on above prognostic factors exhibited superior predictive performance for 1-,3-,and 5-year RFS,with a significantly higher AUC value(0.886)than those of single-parameter models.Conclusion Our nomogram model demonstrated good accuracy in predicting RFS in cervical cancer patients,providing a potential tool for personalized clinical decision-making in recurrence risk management.

Objective To investigate the expression levels and mutation status of phosphatidylinositol-4,5-bisphosphate3-kinase catalytic subunit alpha(PIK3CA)in endometrial cancer(EC)and evaluate its association with lymph node metastasis in EC.Methods We retrosepctively collected and analyzed EC genetic mutation testing data submitted to the Molecular Detection Center,The First Affiliated Hospital of Chongqing Medical University between July 2020 and June 2022.The mutation rate of PIK3CA gene was calculated based on the sequencing results of EC patients,and the correlation between PIK3CA mutations and clinical pathological parameters,as well as protein expression consistency,was analyzed accordingly.Results A total of 97 EC patients were enrolled in this study,and PIK3CA mutations were identified in approximately 48.5％(47 out of 97 cases).The rate of lymph node metastasis in patients with PIK3CA mutations was higher than that in patients with wild-type PIK3CA(21.3％vs.6.0％,P=0.027).Findings from univariate and multivariate logistic analyses indicated that histological subtype Ⅱ(odds ratio[OR]=5.51;95％CI,1.08-28.06;P=0.040),positive result for lymphovascular space invasion(LVSI)(OR=7.96;95％CI,1.37-46.44;P=0.021),and PIK3CA mutation(OR=8.58;95％CI,1.51-48.84;P=0.015)were independent risk factors for lymph node metastasis in EC.In addition,the receiver-operating characteristic(ROC)curves demonstrated that the combined use of clinicopathological parameters and PIK3CA mutations could more accurately predict lymph node metastasis in EC,with an area under the curve of 0.824(95％CI,0.678-0.970).It is noteworthy that there was a high consistency between PIK3CA mutations and its protein expression,and EC patients with positive expression of PIK3CA protein had a higher rate of lymph node metastasis(53.8％vs.9.1％,P=0.078).Conclusion PIK3CA somatic mutations are strongly correlated with lymph node metastasis in EC.