Supplementary MaterialsAdditional document 1: Table S1. median follow-up of 60?months (range, 3C125?months). Tumor size, para-aortic lymph node metastasis, nodal SUVmax, and HPV contamination status were identified as impartial prognostic factors by multivariate analysis. The CART analysis classified the patients into three groups. The first node was nodal SUVmax, and HPV status was the second node for patients with nodal SUVmax 7.49; Group A (nodal SUVmax 7.49 and HPV positive, HR 1.0), Group B (nodal SUVmax 7.49 and HPV negative, HR 3.56), and Group C (nodal SUVmax ?7.49, HR 10.13). Disease-free survival was significantly different among the three groups (International Federation of Gynecology and Obstetrics, squamous cell carcinoma, positron emitting tomography, maximum standardized uptake, SUVmax of main tumor, SUVmax of the lymph node with the SGI-1776 irreversible inhibition highest FDG uptake, human papilloma computer virus Prevalence SGI-1776 irreversible inhibition of HPV DNA genotype Among 129 patients, 111 patients (86.0%) had HPV contamination. The three most common HPV types were 16 (hazard ratio, International Federation of Gynecology and Obstetrics, squamous cell carcinoma, maximum standardized uptake, SUVmax of main tumor, SUVmax of the lymph node with the highest FDG uptake, human papilloma computer virus As the CART analysis provided cut-off values of continuous variables, we performed additional univariate and multivariate analyses. However, a cut-off value could not be obtained for age, SCC, and pSUVmax due to their statistically less significant predictive power for DFS (Additional?file?1: Table S1). Classification and regression tree The CART analysis showed three risk groups based on nodal SUVmax and HPV status (Fig.?1): Group A (nodal SUVmax 7.49 and HPV positive), Group B (nodal SUVmax 7.49 and HPV negative), and Group C (nodal SUVmax ?7.49). There were 101 patients (78.3%) in Group A, 18 patients (14.0%) in Group B, and 10 patients (7.8%) in Group C (Fig. ?(Fig.1).1). Fourteen patients (13.9%) of Group A, seven patients (38.9%) of Group B, and eight patients (80.0%) of Group C showed recurrence during the follow-up period (Fig.?2). Cox proportional hazard model calculated HRs of Group B (HR, 3.56; CI, 1.44C8.85; em p /em ?=?0.006) and Group C (HR, 10.13; CI, 4.17C24.57; em p /em ? ?0.001), compared to Group A (HR, 1.00). DFS was significantly different among the three groups in the log-rank test ( em p /em ? ?0.001). Open in a separate windows Fig. 1 Classification and regression tree. Classification and regression decision tree (CART) analysis was performed to verify the prognostic factors. Square boxes indicate subsets of patients defined by the sequential splitting process. Finally, the CART analysis recognized three risk groups: Group A (nodal SUVmax 7.49 and HPV positive), Group B (nodal SUVmax 7.49 and HPV negative), and Group C (nodal SUVmax ?7.49). Cox proportional hazard model calculated hazard ratios (HRs) of Group B (HR, 3.56; em p /em ?=?0.006) and Group C (HR, 10.13; SGI-1776 irreversible inhibition em p /em ? ?0.001), in comparison to Group A (HR, 1.00) Open up in another window Fig. 2 A KaplanCMeier curve of disease-free success. Classification and regression decision tree (CART) evaluation demonstrated three risk groupings; Group A (nodal SUVmax 7.49 and HPV positive), Group B (nodal SUVmax 7.49 and HPV negative), and Group C (nodal SUVmax ?7.49). Log-rank check demonstrated statistical significance among these mixed groupings ( em p /em ? ?0.001) Debate In this study, we investigated the prognostic variables, including traditional factors, such as age, FIGO Rabbit polyclonal to IL20 stage, tumor size, lymph node metastasis status, and SCC antigen levels, aswell simply because PET HPV and parameters position in cervical squamous cell carcinoma sufferers who had been treated simply by CCRT. Tumor size, para-aortic lymph node metastasis position, nodal SUVmax, and HPV an infection position had been significant prognostic elements. We set up a risk stratification technique, which may be performed using nodal SUVmax and HPV status simply. We utilized the CART evaluation to judge the elements connected with DFS extremely, which showed relationship in univariate evaluation. The CART evaluation.