To develop and validate a preoperative nomogram to predict pathological locally advanced disease (pLAD) of clinically localized upper urinary tract urothelial carcinoma (UTUC) treated with extirpative surgery.
In total, 1101 patients with cN0M0 UTUC (development cohort, n = 604; validation cohort, n = 497) from 2 independent academic databases were retrospectively analyzed. pLAD was defined as pT3/4 and/or pN+. Multivariate logistic regression was used to develop a nomogram. The accuracy of the nomogram was evaluated with a receiver operating characteristic curve, calibration plot, and decision curve analysis.
The development and validation cohorts comprised 204 (33.8%) and 178 (35.8%) patients with pLAD, respectively. The multivariate analyses showed that the neutrophil-to-lymphocyte ratio (hazard ratio [HR], 2.27; P < .001), chronic kidney disease (HR, 1.56; P = .032), tumor location (HR, 1.60; P = .029), hydronephrosis (HR, 2.71; P < .001), and local invasion on imaging (HR, 8.59; P < .001) were independent predictive factors. After bootstrapping, a well-calibrated nomogram achieved discriminative accuracy of 0.77 in the development cohort. The decision curve analysis demonstrated improved risk prediction against threshold probabilities (≥8%) of pLAD. These results were consistent in the validation cohort.
Our novel nomogram allows for more highly accurate prediction of pLAD of UTUC. This nomogram integrates standard imaging and laboratory factors that help to identify patients who will benefit from preoperative chemotherapy, extended lymph node dissection, or both.
Cancer medicine. 2020 Apr 06 [Epub ahead of print]
Takashi Yoshida, Takashi Kobayashi, Takayuki Kawaura, Makito Miyake, Katsuhiro Ito, Hiroshi Okuno, Takashi Murota, Noriyuki Makita, Mutsushi Kawakita, Gen Kawa, Tomoki Kitawaki, Kiyohide Fujimoto, Hideyasu Matsuyama, Hiroaki Shiina, Haruhito Azuma, Osamu Ogawa, Hidefumi Kinoshita, Tadashi Matsuda
Department of Urology and Andrology, Kansai Medical University, Kori Hospital, Osaka, Japan., Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan., Department of Mathematics, Kansai Medical University, Osaka, Japan., Department of Urology, Nara Medical University, Kashihara, Japan., Department of Urology, National Hospital Organization Kyoto Medical Center, Kyoto, Japan., Department of Urology and Andrology, Kansai Medical University, General Medical Center, Osaka, Japan., Department of Urology, Kobe City Medical Center General Hospital, Kobe, Japan., Department of Urology, Saiseikai Noe Hospital, Osaka, Japan., Department of Urology, Graduate School of Medicine, Yamaguchi University, Ube, Japan., Department of Urology, Shimane University School of Medicine, Izumo, Japan., Department of Urology, Osaka Medical College, Takatsuki, Japan., Department of Urology and Andrology, Kansai Medical University, Osaka, Japan.