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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Immune checkpoint inhibitors (ICIs) are now the standard of care for metastatic urothelial carcinoma (mUC) patients. Our aim was to describe the activity of ICIs in mUC and find the clinical parameters associated with response. This is a retrospective, single-center chart review of mUC patients receiving ICIs. The overall survival (OS) was plotted using the Kaplan–Meier method and was compared using a log-rank test. Associations between the variables and responses were analyzed by univariate and multivariable analyses, using either logistic regression or a Chi-square/Fisher’s exact test. Ninety-four patients received ICIs, 85% of which were in the second line or beyond; the median age was 71.8 years, and 82% were men. Six (6.4%), 11 (11.7%), 7 (7.4%) and 70 (74.5%) patients achieved a complete response (CR), partial response (PR), mixed response/stable disease (M/SD) or progressive disease (PD), respectively. The median overall survival was 3.2 months for the entire cohort and was significantly different according to the response pattern—not reached, 32.3, 6.4 and 2.0 months for CR, PR, M/SD and PD, respectively. The response was not significantly associated with the line of treatment. ‘Site of metastasis’ was associated with the response, and the absolute neutrophil count was borderline associated with the response. In summary, we found a substantial variance in the potential benefit from ICIs in mUC, emphasizing the need for predictive biomarkers and frequent monitoring of mUC patients receiving ICIs.

Details

Title
Response to Anti-PD1/L1 Antibodies in Advanced Urothelial Cancer in the ‘Real-Life’ Setting
Author
Moran Gadot 1   VIAFID ORCID Logo  ; Arad, Ido 1 ; Atenafu, Eshetu G 2 ; Levartovsky, Meital 1 ; Portnoy, Orith 3 ; Davidson, Tima 4 ; Schor-Bardach, Rachel 5 ; Berger, Raanan 6 ; Leibowitz, Raya 7 

 Sheba Medical Center, Oncology Institute, Tel-Hashomer 52621, Israel 
 Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada 
 Sheba Medical Center, Diagnostic Imaging Department, Tel-Hashomer 52621, Israel; Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv 699781, Israel 
 Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv 699781, Israel; Department of Nuclear Medicine, Sheba Medical Center, Tel-Hashomer 52621, Israel 
 Sheba Medical Center, Diagnostic Imaging Department, Tel-Hashomer 52621, Israel 
 Sheba Medical Center, Oncology Institute, Tel-Hashomer 52621, Israel; Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv 699781, Israel 
 Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv 699781, Israel; Shamir Medical Center, Oncology Institute, Zerifin 70300, Israel 
First page
1154
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
14248247
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2716585235
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.