Investigation of eligibility for adjuvant therapy from real-world data of patients with urothelial carcinoma undergoing radical cystectomy and radical nephroureterectomy.

adjuvant chemotherapy bladder cancer nivolumab overall survival upper tract urothelial carcinoma

Journal

Japanese journal of clinical oncology
ISSN: 1465-3621
Titre abrégé: Jpn J Clin Oncol
Pays: England
ID NLM: 0313225

Informations de publication

Date de publication:
15 Nov 2023
Historique:
received: 07 09 2023
accepted: 19 10 2023
medline: 15 11 2023
pubmed: 15 11 2023
entrez: 15 11 2023
Statut: aheadofprint

Résumé

Adjuvant nivolumab prolonged disease-free survival compared with placebo in patients at high risk of recurrence following radical cystectomy or radical nephroureterectomy in the CheckMate 274 trial. However, the ideal eligibility criteria for adjuvant therapy in real-world clinical practice remain controversial. We retrospectively analyzed clinical data of 409 patients who underwent radical cystectomy (n = 252) or radical nephroureterectomy (n = 157) and validated the risk of recurrence based on the classification used in the CheckMate 274 trial. We also investigated the impact of perioperative chemotherapy, lymph node dissection and pathological factors on prognosis. The median follow-up time was 37.5 and 32.1 months in bladder cancer and upper tract urothelial carcinoma, respectively. Among the high-risk patients based on CheckMate 274 trial, disease-free survival was considerably shorter for bladder cancer and upper tract urothelial carcinoma patients than for low-risk patients (hazard ratios: 4.132 and 7.101, respectively). The prevalence of adjuvant chemotherapy in high-risk patients was low (24 and 38% for bladder cancer and upper tract urothelial carcinoma, respectively). The extent of lymph node dissection in bladder cancer and presence of lymph node dissection in upper tract urothelial carcinoma did not affect prognosis. Cox proportional multivariate analysis revealed CheckMate 274-high-risk as a poor prognostic factor in bladder cancer and upper tract urothelial carcinoma. This study validated the risk classification for recurrence following radical cystectomy and radical nephroureterectomy using the CheckMate 274 criteria in real-world practice. Further research would help assess the degree of benefit obtained from adjuvant nivolumab.

Identifiants

pubmed: 37967156
pii: 7423023
doi: 10.1093/jjco/hyad152
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.

Auteurs

Taisuke Matsue (T)

Department of Urology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.

Minoru Kato (M)

Department of Urology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.

Yuki Kosugi (Y)

Department of Urology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.

Kota Ishizaki (K)

Department of Urology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.

Hiroo Masuda (H)

Department of Urology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.

Shoma Yamamoto (S)

Department of Urology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.

Yuji Takeyama (Y)

Department of Urology, Ishikiri Seiki Hospital, Osaka, Japan.

Nao Yukimatsu (N)

Department of Urology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.

Taiyo Otoshi (T)

Department of Urology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.

Takeshi Yamasaki (T)

Department of Urology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.

Katsuyuki Kuratsukuri (K)

Department of Urology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.

Junji Uchida (J)

Department of Urology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.

Classifications MeSH