Pathologic nodal staging score for bladder cancer: a decision tool for adjuvant therapy after radical cystectomy.

BACKGROUND: Radical cystectomy (RC) with pelvic lymph node dissection (PLND) is the standard of care for high-risk non-muscle-invasive and muscle-invasive bladder cancer (BCa). OBJECTIVE: To develop a model that allows quantification of the likelihood that a pathologically node-negative patient has, indeed, no positive nodes. DESIGN, SETTING, AND PARTICIPANTS: We analyzed data from 4335 patients treated with RC and PLND without neoadjuvant chemotherapy at 12 international academic centers. INTERVENTIONS: Patients underwent RC and PLND. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: We estimated the sensitivity of pathologic nodal staging using a beta-binomial model and developed a pathologic (postoperative) nodal staging score (pNSS) that represents the probability that a patient is correctly staged as node negative as a function of the number of examined nodes. RESULTS AND LIMITATIONS: Overall, the probability of missing a positive node decreases with the increasing number of nodes examined (52% if 3 nodes are examined, 40% if 5 are examined, and 26% if 10 are examined). The proportion of having a positive node increased proportionally with advancing pathologic T stage and lymphovascular invasion (LVI). Patients with LVI who had 25 examined nodes would have a pNSS of 80% (pT1), 88% (pT2), and 66% (pT3-T4), whereas 10 examined nodes were sufficient for pNSS exceeding 90% in patients without LVI and pT0-T2 tumors. This study is limited because of its retrospective design and multicenter nature. CONCLUSIONS: We developed a tool that estimates the likelihood of lymph node (LN) metastasis in BCa patients treated with RC by evaluating the number of examined nodes, the pathologic T stage, and LVI. The pNSS indicates the adequacy of nodal staging in LN-negative patients. This tool could help to refine clinical decision making regarding adjuvant chemotherapy, follow-up scheduling, and inclusion in clinical trials.

Extranodal extension is a powerful prognostic factor in bladder cancer patients with lymph node metastasis.

BACKGROUND: Lymph node metastasis (LNM) is the most powerful pathologic predictor of disease recurrence after radical cystectomy (RC). However, the outcomes of patients with LNM are highly variable. OBJECTIVE: To assess the prognostic value of extranodal extension (ENE) and other lymph node (LN) parameters. DESIGN, SETTING, AND PARTICIPANTS: A retrospective analysis of 748 patients with urothelial carcinoma of the bladder and LNM treated with RC and lymphadenectomy without neoadjuvant therapy at 10 European and North American centers (median follow-up: 27 mo). INTERVENTION: All subjects underwent RC and bilateral pelvic lymphadenectomy. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Each LNM was microscopically evaluated for the presence of ENE. The number of LNs removed, number of positive LNs, and LN density were recorded and calculated. Univariable and multivariable analyses addressed time to disease recurrence and cancer-specific mortality after RC. RESULTS AND LIMITATIONS: A total of 375 patients (50.1%) had ENE. The median number of LNs removed, number of positive LNs, and LN density were 15, 2, and 15, respectively. The rate of ENE increased with advancing pT stage (p<0.001). In multivariable Cox regression analyses that adjusted for the effects of established clinicopathologic features and LN parameters, ENE was associated with disease recurrence (hazard ratio [HR]: 1.89; 95% confidence interval [CI], 1.55-2.31; p<0.001) and cancer-specific mortality (HR: 1.90; 95% CI, 1.52-2.37; p<0.001). The addition of ENE to a multivariable model that included pT stage, tumor grade, age, gender, lymphovascular invasion, surgical margin status, LN density, number of LNs removed, number of positive LNs, and adjuvant chemotherapy improved predictive accuracy for disease recurrence and cancer-specific mortality from 70.3% to 77.8% (p<0.001) and from 71.8% to 77.8% (p=0.007), respectively. The main limitation of the study is its retrospective nature. CONCLUSIONS: ENE is an independent predictor of both cancer recurrence and cancer-specific mortality in RC patients with LNM. Knowledge of ENE status could help with patient counseling, clinical decision making regarding inclusion in clinical trials of adjuvant therapy, and tailored follow-up scheduling after RC.