Influencing Factors on Early Castration Resistance in Prostate Cancer Patients Based on Column Chart Model
GUO Cancong
XIONG Jianrong
ZHU Yaohui
GUAN Hao
Abstract：Objective To explore the influencing factors of early castration resistance in prostate cancer patients and construct a column chart risk prediction model.Methods A retrospective collection of data was conducted on 123 prostate cancer patients who received androgen deprivation therapy(ADT)in General Hospital of Pingmei Shenma Group.Based on the early progression of castration resistance during a 2-year follow-up period after ADT treatment,the patients were divided into a advanced group(75 cases)and an non advanced group(48 cases).The influencing factors of early castration resistance in prostate cancer patients were analyzed,a column chart model was constructed based on the influencing factors,and the predictive performance of the column chart model was analyzed.Results The preliminary comparison of data between the advanced group and the non advanced group revealed that the T stage of the primary lesion,pre-treatment alkaline phosphatase(ALP),Gleason score,number of bone metastases,combined metabolic syndrome,and the lowest prostate specific antigen(PSA)value after treatment were all influencing factors for early progression to castration resistance in prostate cancer patients after ADT(OR＞1,P＜0.05).A column chart prediction model was constructed based on the influencing factors,and the fit between the internal correction curve and the ideal curve was well reflected.The receiver operating characteristic(ROC)curve showed that the overall model predicted the risk of early progression to castration resistance in thyroid cancer patients with an area under the curve(AUC)of 0.872,indicating good prediction accuracy.Conclusion The early progression of castration resistance in prostate cancer patients may be influenced by the T staging of the primary lesion,pre-treatment ALP,Gleason score,number of bone metastases,metabolic syndrome,and the lowest PSA value after treatment.The column chart risk prediction model constructed based on this may have good predictive value.
Keywords：prostate cancercastration resistancecolumn chartprediction
Publication Date：2026-07-13
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：5( 2349-2353 )