Lymph node density for stratification of survival outcomes with node positive upper tract urothelial carcinoma.

Lymph node density for stratification of survival outcomes with node positive upper tract urothelial carcinoma.

Raza, Syed Johar;Miller, Caleb;May, Allison;Davaro, Facundo;Siddiqui, Sameer Ahmed;Hamilton, Zachary;
the canadian journal of urology 2019 Vol. 26 pp. 9852-9858
194
raza2019lymphthe

Abstract

The use of lymph node density (LND) as a predictor of survival outcomes has been studied with urothelial carcinoma of the bladder. Similar results can be postulated to upper tract urothelial carcinoma (UTUC). This study aims to determine the overall survival of patients with lymph node positive UTUC based on LND, utilizing the National Cancer Database (NCDB).Data was derived from NCDB Participant User Kidney Dataset using the histology code 'transitional cell carcinoma', utilizing pN+ patients from 2004-2015. LND was calculated as number of positive nodes divided by total number of nodes removed. Patients were stratified by traditional AJCC pN stage and compared to LND groups (< 30%, ≥ 30%). Primary outcome was overall survival. Kaplan-Meier and Cox regression analyses were performed.A total of 2049 patients were identified (pN1 = 1022, pN2 = 1027; LND < 30% = 370, ≥ 30% = 1679). Mean LND was 71%. Cox regression for mortality using pN stage was not significant (p = 0.11); however, Cox regression for mortality using LND group noted significantly worsened survival with LND ≥ 30% (HR 1.54, p = 0.001). Kaplan Meier analysis for overall survival at 2 years showed no difference between pN1 and pN2 stages (35.3% versus 34.1%; log rank p = 0.37). Kaplan Meier analysis for overall survival at 2 years revealed significant difference between LND groups (LND < 30%, 47.3% versus LND ≥ 30%, 32.0%; log rank p < 0.001).LND provides improved prognostic information regarding overall survival, compared to traditional AJCC pN staging. Future studies need to evaluate LND to improve prognostic understanding of lymph node positive UTUC.

Access

Citation

ID: 26146
Ref Key: raza2019lymphthe
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
26146
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet