Analysis Of Serological Indexes And Clinicopathological Feature And Prognosis In Patients With Cervical Cancer

Objective Exploring the relationship between serological indicators,clinical pathological features,and prognosis in cervical cancer patients,in order to provide reference for predicting the degree of disease progression and prognosis of cervical cancer patients.Methods One hundred and ninety-two patients who were first diagnosed with cervical cancer and underwent surgery from January 1,2017 to December 31,2021 at XX Medical University General Hospital and XX Medical University Cardiovascular Hospital were retrospectively collected(preoperative FIGO 2018IA1～IIA1 stage).Follow-up was performed by telephone,microsoft and outpatient follow-up.SPSS25.0 software was used for statistical processing of data,survival curves were plotted using the Kaplan-Meier method,one-way analysis was performed by Log rank test and multi-factor using Cox regression analysis to conclude that FIGO stage,degree of tissue differentiation,lymph node metastasis and P16 were independent risk factors for DFS in patients with cervical cancer,while Graph Pad prism9.5 was used to plot ROC curves.Results 1.192 patients with cervical cancer presented with recurrent metastases in 30cases(15.60%).Ten patients(5.21%)had recurrence within 1 year,21 patients(10.94%)within2 years,24 patients(12.50%)within 3 years and 26 patients(13.54%)within 5 years.192 patients with cervical cancer had a DFS range of 5～71 months,with a median DFS of 35 months.and 5-year disease-free survival rates were 94.3%,86.6% and 80.8%,respectively.2.Univariate analysis: preoperative SCC,PLR,FIGO stage and postoperative tissue differentiation,lymph node metastasis and P16 were associated with DFS in patients with cervical cancer,P < 0.05;COX regression multivariate analysis: FIGO stage(HR=0.044,CI95%0.197-0.977),tissue differentiation(HR=0.026,CI95% 0.183-0.895),lymph node metastasis(HR=0.010,CI95% 0.143-0.763)and P16(HR=0.031,CI95% 1.101-7.788)were independent risk factors for postoperative DFS in patients with cervical cancer,P<0.05.3.The value of each factor in predicting postoperative recurrence in patients with cervical cancer:FIGO stage,degree of tissue differentiation,lymph node metastasis,P16 and the area under the ROC curve of the combined index were 0.619(95% CI:0.512-0.725),0.652(95%CI:0.542-0.762),0.544(95%CI:0.428-0.661),0.596(95%CI:0.492-0.699),0.768(95%CI:0.681-0.855).The sensitivity,specificity and accuracy of FIGO staging were: 70.00%,53.70% and56.25%,respectively;the sensitivity,specificity and accuracy of the degree of tissue differentiation were: 60.00%,70.37% and 68.75%,respectively,The sensitivity,specificity and accuracy of P16 were: 83.33%,35.80% and 43.23%.The sensitivity,specificity and accuracy of the combined multi-factor index were: 60.00%,80.86% and 77.60%,respectively.Conclusion 1.SCC,PLR,FIGO staging,degree of tissue differentiation,lymph node metastasis,and P16 are risk factors for poor prognosis in cervical cancer patients;FIGO staging,degree of tissue differentiation,lymph node metastasis,and P16 are independent risk factors affecting the prognosis of cervical cancer patients.2.The combination of P16 and FIGO staging,tissue differentiation,and lymph node metastasis significantly improved the predictive validity of postoperative recurrence in cervical cancer patients compared to a single indicator.