Expression of PD-L1 as a predictive marker of sensitivity to immune checkpoint inhibitors in patients with advanced biliary tract cancer.

Therap Adv Gastroenterol

Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Republic of Korea.

Published: August 2022

Background: Expression of programmed death-ligand 1 (PD-L1) has been reported to correlate with response to immune checkpoint inhibitors (ICIs) in various tumor types. However, there are few data on the role of PD-L1 expression as a predictive and prognostic biomarker of sensitivity to ICIs in patients with advanced biliary tract cancer (BTC).

Objectives: We evaluated the role of PD-L1 expression as a predictive and prognostic biomarker of response to ICIs in patients with advanced BTC.

Design: We retrospectively analyzed data from 83 advanced BTC patients who received ICIs as second- or third-line treatment between February 2018 and April 2021.

Methods: All patient data analysis included evaluation of PD-L1 expression by the combined positive score (CPS).

Results: Among 83 patients, 56 (67.5%) had PD-L1 positivity (CPS ⩾ 1). The objective response rate (ORR) to ICIs was significantly higher in advanced BTC patients with PD-L1 expression compared to those without PD-L1 expression (17.8% 0%,  = 0.026). However, there were no significant differences in median progression-free survival (PFS; 2.9 2.6 months,  = 0.330) and median overall survival (OS; 8.1 6.3 months,  = 0.289) as a response to ICIs between patients with and without PD-L1 expression. Also, there were no significant differences in ORR, PFS, and OS as a response to ICIs in conjunction with a response to a prior gemcitabine plus cisplatin regimen ( = 0.654,  = 0.278, and  = 0.302, respectively).

Conclusions: The present study suggests that the expression of PD-L1 alone was not sufficient as a novel marker to select advanced BTC patients who might benefit from ICIs. Additional comprehensive studies of biomarkers that can assist in predicting BTC patient responses to pembrolizumab and/or nivolumab therapy are required.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386848PMC
http://dx.doi.org/10.1177/17562848221117638DOI Listing

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