CD274 ( PD-L1 ) Copy Number Changes (Gain) & Response to Immune Checkpoint Blockade Therapy in Carcinomas of the Urinary Tract
Year: 2021
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Immune checkpoint inhibitors are an important therapeutic option for urothelial carcinoma, but durable responses are achieved in a minority of patients. Identifying pre-treatment biomarkers that may predict response to these therapies or who exhibit intrinsic resistance, is of paramount importance. OBJECTIVE: To explore the prevalence of PD-L1 copy number alteration in urothelial carcinoma and correlate with response to immune checkpoint inhibitors. METHODS: We analyzed a cohort of 1050 carcinomas of the bladder and upper urinary tract that underwent targeted next generation sequencing, prospectively. We assessed PD-L1 protein expression, copy number status (next generation sequencing/FISH), and detailed treatment response. RESULTS: We identified 9 tumors with PD-L1 amplification and 9 tumors with PD-L1 deletion. PD-L1 protein expression was the highest in PD-L1 amplified tumors. Of the 9 patients whose tumors harbored PD-L1 amplification, 6 received immunotherapy with 4 deriving clinical benefit, and 2 achieving durable response. Of the 9 patients whose tumors had PD-L1 copy number losses, 4 received immunotherapy with 3 experiencing disease progression. CONCLUSIONS: PD-L1 copy number alterations may serve as potential biomarkers of response to immunotherapy in urothelial carcinoma patients, if validated in larger cohorts.
Source: Bladder Cancer
DOI: 10.3233/blc-201532
Authors: Sounak Gupta, Chad M. Vanderbilt, Yanming Zhang, Satish K. Tickoo, Samson W. Fine, Anuradha Gopalan, Ying-Bei Chen, Sahussapont J. Sirintrapun, Min Yuen Teo, Samuel A. Funt, Gopa Iyer, Jonathan E. Rosenberg, Dean F. Bajorin, Bernard H. Bochner, Eugene J. Pietzak, Dara S. Ross, Marc Ladanyi, John C. Cheville, David B. Solit, Victor E. Reuter, Hikmat A. Al-Ahmadie
Institutions: Mayo Clinic, Memorial Sloan Kettering Cancer Center
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Funder: National Cancer Institute
OpenAlex ID: W3194828532
