Establishment of a nomogram model for predicting pelvic lymph node metastasis in prostate cancer based on systemic immune-infiltration inflammation index
10.3969/j.issn.1006-5725.2025.15.009
- VernacularTitle:系统性免疫炎症指数预测前列腺癌盆腔淋巴结转移列线图模型的建立
- Author:
Junzhi LIU
1
;
Lei QIU
;
Kun XU
;
Jianwei LIU
;
Dehua HU
;
Hua ZHU
;
Cheng SHEN
;
Ming LU
;
Jiangang CHEN
Author Information
1. 南通市第一人民医院(南通大学第二附属医院)泌尿外科(江苏 南通 226006)
- Publication Type:Journal Article
- Keywords:
prostate cancer;
pelvic lymph node metastasis;
systemic inflammatory markers;
nomo-gram model
- From:
The Journal of Practical Medicine
2025;41(15):2349-2354
- CountryChina
- Language:Chinese
-
Abstract:
Objective To develop and validate a nomogram model that integrates systemic inflammatory markers to predict the likelihood of pelvic lymph node metastasis(PLNM)in prostate cancer patients prior to surgery.Methods This study retrospectively analyzed the clinical data and preoperative inflammatory markers—including neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),systemic immune-inflammation index(SII),and monocyte-to-lymphocyte ratio(MLR)—of patients diagnosed with prostate cancer.Univariate and multi-variate logistic regression analyses were conducted to identify markers that were significantly associated with PLNM.Based on the results of the multivariate analysis,a nomogram was developed and its predictive accuracy was assessed using receiver operating characteristic curves(ROC)and calibration plots.Results Among the 334 enrolled patients with prostate cancer,107 were identified with PLNM.Univariate analysis revealed statistically significant differences in free prostate-specific antigen(fPSA),Gleason score,NLR,PLR,MLR,and SII between the PLNM and non-pelvic lymph node metastasis(NPLNM)groups(P<0.05).Multivariate analysis confirmed that fPSA,Gleason score,and SII were independent predictors of PLNM(P<0.05).A nomogram incorporating these predic-tors exhibited strong discriminative ability,with an area under the ROC curve(AUC)of 0.79(95%CI:0.73～0.84).Calibration analysis further demonstrated good consistency between the predicted and observed probabilities of PLNM.Conclusions This study successfully developed a nomogram model based on systemic inflammatory markers for preoperative prediction of pelvic lymph node metastasis in prostate cancer.Owing to its user-friendly design and high predictive accuracy,this tool may serve as a valuable complementary method to conventional imaging techniques,thereby supporting personalized treatment decision-making.
