JOURNAL ARTICLE
Targeted and immunotherapy for the management of advanced urothelial carcinoma of the bladder.
Published In: American Journal of Health-System Pharmacy, 2024, v. 81, n. 22. P. 1109 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Cersosimo, Robert J 3 of 3
Abstract
The article reviews the activity and approval status of targeted therapies and immunotherapies for advanced urothelial bladder cancer, focusing on six FDA-approved agents. Platinum-based chemotherapy remains the standard first-line treatment, while pembrolizumab (a programmed cell death 1 [PD-1] inhibitor) is approved as first-line therapy for patients ineligible for platinum chemotherapy, alone or combined with enfortumab vedotin (an antibody-drug conjugate targeting nectin-4) for cisplatin-ineligible patients. Avelumab (a programmed death ligand 1 [PD-L1] inhibitor) is approved for maintenance therapy after first-line platinum chemotherapy, and pembrolizumab, avelumab, and nivolumab (another PD-1 inhibitor) are approved for second-line treatment following progression. Erdafitinib, a fibroblast growth factor receptor (FGFR) inhibitor, is indicated for patients with FGFR2 or FGFR3 genetic alterations after platinum therapy, while enfortumab vedotin and sacituzumab govitecan (an antibody-drug conjugate targeting Trop-2) are approved for patients previously treated with platinum chemotherapy and PD-1/PD-L1 inhibitors. The article highlights ongoing confirmatory trials to establish the precise roles of these agents in treatment sequencing and combination strategies.
Additional Information
- Source:American Journal of Health-System Pharmacy. 2024/11, Vol. 81, Issue 22, p1109
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2024
- ISSN:1079-2082
- DOI:10.1093/ajhp/zxae090
- Accession Number:180763796
- Copyright Statement:Copyright of American Journal of Health-System Pharmacy is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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