2022
DOI: 10.1021/acsami.2c14448
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Inflammation-Regulated Nanodrug Sensitizes Hepatocellular Carcinoma to Checkpoint Blockade Therapy by Reprogramming the Tumor Microenvironment

Abstract: Immune checkpoint blockade (ICB) utilizing programmed death ligand-1 (PD-L1) antibody is a promising treatment strategy in solid tumors. However, in fact, more than half of hepatocellular carcinoma (HCC) patients are unresponsive to PD-L1-based ICB treatment due to multiple immune evasion mechanisms such as the hyperactivation of inflammation pathway, excessive tumor-associated macrophages (TAMs) infiltration, and insufficient infiltration of T cells. Herein, an inflammation-regulated nanodrug was designed to … Show more

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Cited by 5 publications
(2 citation statements)
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“…PD‐L1 has been reported as a potential cancer biomarker for the diagnosis of cancer progression and metastasis. [ 54 ] During the development of cancer, cancer cells secrete more exosomes, which show significant changes in serum. [ 55 ] And PD‐L1 protein is usually highly expressed on the surface of exosomes, so Exo‐PD‐L1 can be used as a disease marker for early diagnosis of various cancers.…”
Section: Resultsmentioning
confidence: 99%
“…PD‐L1 has been reported as a potential cancer biomarker for the diagnosis of cancer progression and metastasis. [ 54 ] During the development of cancer, cancer cells secrete more exosomes, which show significant changes in serum. [ 55 ] And PD‐L1 protein is usually highly expressed on the surface of exosomes, so Exo‐PD‐L1 can be used as a disease marker for early diagnosis of various cancers.…”
Section: Resultsmentioning
confidence: 99%
“…Programmed death ligand 1 (PD-L1) is a prominent molecule employed by tumor cells to engage T-cell immune checkpoints. 1 It has been established that PD-L1-positive (PD-L1 + ) exosomes hold potential as predictors of the clinical outcome of anti-programmed cell death protein 1 (anti-PD-1) therapy and serve as biomarkers for tumor burden. 2 Therefore, the detection of PD-L1 + exosomes is crucial for clinical diagnosis and precision medicine.…”
Section: ■ Introductionmentioning
confidence: 99%