4.7 Article

CD73 and PD-L1 as Potential Therapeutic Targets in Gallbladder Cancer

Journal

Publisher

MDPI
DOI: 10.3390/ijms23031565

Keywords

gallbladder cancer; cancer stem cells; epithelial-to-mesenchymal transition; CD73; PD-L1; immune checkpoint inhibitors

Funding

  1. Gallipoli Medical Research Foundation
  2. University of Queensland
  3. Reginald Ferguson Research Fellowship

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Gallbladder cancer is a highly aggressive form of biliary tract cancer, and current clinical trials are examining the effectiveness of immune checkpoint inhibitors as monotherapy. However, only select patients respond to these treatments. This study investigates the molecular mechanisms that contribute to resistance to immune checkpoint blockade and identifies epithelial-to-mesenchymal transition and cancer stem cells as key factors.
Gallbladder cancer (GBC) is one of the most common and aggressive biliary tract cancers with a dismal prognosis. Ongoing clinical trials are evaluating a few selected immune checkpoint inhibitors (ICIs) as monotherapy for the treatment of GBC patients. However, only a subset of patients benefits from these treatments. To improve ICI therapy response, molecular mechanisms that confer resistance to immune checkpoint (IC) blockade needs to be explored. Epithelial-to-mesenchymal transition (EMT) program and cancer stem cells (CSCs) have been implicated as key processes that confer ICI treatment resistance. However, in GBC the EMT-CSC-IC axis has not yet been clearly elucidated. This study aims to examine the aberrant expression of ICs associated with CSC and EMT. We successfully enriched CSCs by utilizing a 3-dimensional culture system and established a reversible EMT model with human GBC NOZ cell line. Notably, ICs CD73 and PD-L1 were closely associated with both CSC and EMT phenotypes. Knockdown of CD73 or PD-L1 reduced the proliferative and motile abilities of both adherent monolayers and anchorage-free spheroids. In conclusion, blocking CD73 and PD-L1 offer a promising therapeutic strategy for targeting highly aggressive populations with CSC and EMT phenotype to improve GBC patient prognosis.

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