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Tumor downstaging as an intermediate endpoint to assess the activity of neoadjuvant systemic therapy in patients with muscle‐invasive bladder cancer

Authors :
Lauren C. Harshman
Nikhil Waingankar
Simon J. Crabb
Matthew D. Galsky
Andrea Necchi
Sumanta K. Pal
Thomas Powles
Rachel Jia
Ulka N. Vaishampayan
Elizabeth R. Plimack
N. Peter Wiklund
Bart S. Ferket
Alberto Martini
Jonathan E. Rosenberg
John P. Sfakianos
Madhu Mazumdar
Evan Y. Yu
Reza Mehrazin
Martini, A
Jia, R
Ferket, B
Waingankar, N
Plimack, Er
Crabb, Sj
Harshman, Lc
Yu, Ey
Powles, T
Rosenberg, Je
Pal, Sk
Vaishampayan, Un
Necchi, A
Wiklund, Np
Mehrazin, R
Mazumdar, M
Sfakianos, Jp
Galsky, Md
Source :
Cancer. 125:3155-3163
Publication Year :
2019
Publisher :
Wiley, 2019.

Abstract

BACKGROUND Achieving a pathologic complete response (pCR) with neoadjuvant chemotherapy (NAC) in patients with muscle-invasive bladder cancer (MIBC) has been associated with improved overall survival (OS). This study was aimed at evaluating the impact of pathologic downstaging (pDS; ie, a pT stage at least 1 stage lower than the pre-NAC cT stage) on the OS of patients with MIBC treated with NAC. METHODS The Retrospective International Study of Cancers of the Urothelial Tract (RISC) and the National Cancer Database (NCDB) were queried for cT2-4N0M0 patients treated with NAC. A multivariable Cox model including either pDS or pCR was generated. A nested model was built to evaluate the added value of pDS (excluding patients achieving a pCR) to a model including pCR alone. C indices were computed to assess discrimination. NCDB was used for validation. The treatment effect of NAC versus cystectomy alone in achieving pDS was estimated through an inverse probability-weighted regression adjustment. RESULTS Overall, 189 and 2010 patients from the RISC and NCDB cohorts, respectively, were included; pDS and pCR were achieved by 33% and 35% and by 20% and 15% in RISC and NCDB, respectively. In both data sets, pDS and pCR were associated with better OS and C indices. Adding pDS excluding pCR to the model with pCR fit the data better (likelihood ratio, P = .019 for RISC and P

Details

ISSN :
10970142 and 0008543X
Volume :
125
Database :
OpenAIRE
Journal :
Cancer
Accession number :
edsair.doi.dedup.....33c5cb8cc4cdfd732311d4832ec9b324
Full Text :
https://doi.org/10.1002/cncr.32169