Comparison of different lymph node staging schemes in prostate cancer patients with lymph node metastasis

• Published in: International urology and nephrology 2020, Vol.52 (1), p.87-95
• Main Authors: Jin, Shengming, Wang, Junjie, Shen, Yijun, Gan, Hualei, Xu, Peihang, Wei, Yu, Wei, Jiaming, Wu, Junlong, Wang, Beihe, Wang, Jun, Yang, Chen, Zhu, Yao, Ye, Dingwei
• Format: Article
• Language: English
• Subjects: Adenocarcinoma - mortality; Adenocarcinoma - pathology; Adenocarcinoma - surgery; Adult; Aged; Aged, 80 and over; Biopsy; Classification; Epidemiology; Humans; Kaplan-Meier Estimate; Lymph Node Excision; Lymph nodes; Lymphatic Metastasis; Lymphatic system; Male; Medical prognosis; Medicine; Medicine & Public Health; Metastases; Metastasis; Middle Aged; Multivariate analysis; Neoplasm Grading; Neoplasm Staging; Nephrology; Prognosis; Proportional Hazards Models; Prostate cancer; Prostatic Neoplasms - mortality; Prostatic Neoplasms - pathology; Prostatic Neoplasms - surgery; Radiation therapy; Retrospective Studies; Surgery; Survival; Urology; Urology - Original Paper
• ISSN: 0301-1623; 1573-2584
• DOI: 10.1007/s11255-019-02294-z

Purpose In addition to standard TNM N staging, lymph node ratio (LNR) and log odds of metastatic lymph node (LODDS) staging methods have been developed for cancer staging. We compared the prognostic performance of the total number of lymph nodes examined (TNLE), number of metastatic lymph node (NMLN), LNR, and LODDS in prostate cancer. Methods Data from 1400 patients diagnosed with prostate cancer between 2004 and 2009 who underwent lymphadenectomy were extracted from the Surveillance Epidemiology and End Results database. Kaplan–Meier methods and multivariable Cox regression analysis were used to evaluate the prognostic value of different lymph node staging schemes in patients with lymph node metastasis. Results Univariate analysis showed that age, T stage, radiotherapy history, Gleason score, LNR classification, LODDS classification, and NMLN except TNLE classification were significant prognostic factors for overall survival. In multivariate analysis, LNR classification, LODDS classification, and NMLN but TNLE classification remained significant prognostic factors for overall survival. LNR classification had the highest C-index (0.672; 95% confidence interval [CI]: 0.609–0.734) and the lowest Akaike information criterion (AIC) (4057.018), indicating the best prognostic performance. Scatter plots showed that LODDS increased with increasing LNR, exhibiting a strong overall correlation between these two lymph node staging methods ( r 2  = 0.9072). LNR and LODDS generally increased with increasing NMLN, although the correlation was relatively low. Conclusion Our results indicate that LNR and LODDS may be better predictors of overall survival than the AJCC/UICC N category in patients undergoing curative surgery for prostate cancer.