Original StudyValidation of Preoperative Risk Grouping of the Selection of Patients Most Likely to Benefit From Neoadjuvant Chemotherapy Before Radical Cystectomy
Introduction
Bladder cancer (BCa) is the fourth most common cancer in men and the eleventh in women, with an estimated incidence of 74,000 in 2015 in the United States only.1 Radical cystectomy (RC) with bilateral pelvic lymph node dissection represents the standard for muscle-invasive bladder cancer and for very high-risk non–muscle-invasive tumors.2 Despite adequate surgery, up to 50% of patients experience disease recurrence and eventually die from their disease, supposedly due to micro metastases.3, 4, 5, 6 To improve the outcomes of RC in these patients, neoadjuvant chemotherapy (NAC) has been tested in prospective randomized clinical trials, SWOG-87107 and BA06 30894.8 Both reported an improvement in survival for patients treated with NAC composed of methotrexate, vinblastine, doxorubicin, and cisplatin before RC versus those who underwent RC alone. However, this benefit was more evident in patients with clinical stage ≥ T3 disease, with a survival gain of 42 months versus 19 months in patients with clinical stage T3/T4 versus clinical T2 stage.9, 10 On the other hand, toxicity grade 3 and 4 were reported in 35% and 37%, respectively, of patients who underwent NAC.7
These results have led to a debate regarding which patients are most likely to benefit most from NAC, so that it can be avoided in those who are not likely to benefit. To address these needs, Culp et al11 proposed a risk stratification based on preoperative parameters such as presence of hydroureteronephrosis, histological evidence of lymphovascular invasion (LVI), variant histology (defined as micropapillary or neuroendocrine variants), or clinical T3 or T4a diseases. Whereas each of these variables have been associated with worse prognosis, their combination in a risk grouping remains to be validated externally. Therefore, our aim was to externally validate the impact of this preoperative risk grouping for the prediction of survival after RC using a tertiary referral center database.
Section snippets
Materials and Methods
Data from 449 consecutive patients treated with RC for non-metastatic BCa between 1988 and 2003 at a single tertiary referral institution were included in the study. Patients treated with neoadjuvant chemotherapy (n = 15) or radiotherapy (n = 9) were excluded. In addition, all ≤ cT1 patients were removed as not eligible for NAC (n = 82). This left 343 patients available for analyses. Patients were classified as high risk or low risk based on the presence of preoperative risk features: (LVI,
Patient Characteristics
Of 343 available patients who underwent RC, 190 were at high risk and 153 at low risk based on the described preoperative features. Demographic and clinical characteristics for the entire cohort stratified according to the preoperative risk group are listed in Table 1. In Supplemental Table 1 (in the online version), risk features of the high-risk group are shown. The majority of patients had hydroureteronephrosis (n = 107/190; 56.3%) and LVI on TUR (n = 77/190; 40.5%). Only 58.4% (n = 111)
Discussion
In the present study, we evaluated the validity of the preoperative risk grouping proposed by Culp et al11 in an external cohort of consecutive BCa patients treated with RC without NAC. Despite level 1 evidence supporting the oncologic benefit of NAC,7, 8 not all patients benefit from this approach. Specifically, organ-confined BCa patients, who account for almost 50% of contemporary series, have shown an excellent survival rate following RC alone, reporting a 5-year survival rate of 80%.4 On
Conclusion
We confirm the role of preoperative risk grouping based on hydronephrisis, LVI, aggressive histologic variants, and clinical staging for the prediction of survival after RC. Patients classified as low risk had similar survival expectation than those with organ-confined disease at RC. Preoperative pathologic features should be therefore used to improve the accuracy of current staging tools to help clinical decision-making regarding administration of systemic therapy.
Disclosure
The authors have stated that they have no conflicts of interest.
Acknowledgments
Marco Moschini is supported by the EUSP (European Association of Urology) Scholarship.
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