Indian Journal of Urology Users online:836  
Home Current Issue Ahead of print Editorial Board Archives Symposia Guidelines Subscriptions Login 
Print this page  Email this page Small font sizeDefault font sizeIncrease font size
Year : 2018  |  Volume : 34  |  Issue : 1  |  Page : 68-73

Effects of tumor size and location on survival in upper tract urothelial carcinoma after nephroureterectomy

1 Department of Urologic Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
2 Department of Urologic Surgery, University of Iowa Carver College of Medicine, Iowa City, IA, USA
3 Department of Urology, University of Oklahoma Health Sciences Center, Norman, OK, USA

Correspondence Address:
Shreyas S Joshi
Department of Urologic Surgery, Vanderbilt University Medical Center, Nashville, TN
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/iju.IJU_216_17

Rights and Permissions

Introduction: Upper Tract Urothelial Carcinoma (UTUC) is a rare disease with few prognostic determinants. We sought to evaluate the impact of tumor size and location on patient survival following nephroureterectomy for UTUC. Materials and Methods: Data on 8284 patients treated with radical nephroureterectomy for UTUC in the United States between 1998 and 2011 were analyzed from the National Cancer Data Base. Univariable survivorship curves were generated based on pT stage, pN stage, grade, tumor size, and tumor site (renal pelvis vs. ureter). A Cox proportional hazards model was used to evaluate the effect of age, comorbidity, T stage, lymph node involvement, tumor site, and tumor size on survival. Results: The median follow-up time was 46 months. A majority of the patients were male (55.4%) with a tumor size of ≥3.5 cm (52.0%) and pT stage P = 0.023). Conclusions: Using the largest series of patients with UTUC undergoing nephroureterectomy, we demonstrated a worse survival in patients with larger tumor sizes (≥3.5 cm) but no difference in survival based on tumor location while controlling for other pathologic characteristics. Incorporation of tumor size into perioperative risk modeling may help with patient stratification and provide further prognostic information for patient counseling.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded195    
    Comments [Add]    
    Cited by others 5    

Recommend this journal