Drug Repurposing to Circumvent Immune Checkpoint Inhibitor Resistance in Cancer Immunotherapy

被引:2
作者
To, Kenneth K. W. [1 ]
Cho, William C. [2 ]
机构
[1] Chinese Univ Hong Kong, Fac Med, Sch Pharm, Hong Kong, Peoples R China
[2] Queen Elizabeth Hosp, Dept Clin Oncol, Hong Kong, Peoples R China
关键词
PD-1; PD-L1; drug repurposing; tumor microenvironment; drug resistance; immune checkpoint inhibitors; machine learning; IMMUNOGENIC CELL-DEATH; EXTENDED FOLLOW-UP; ANTITUMOR IMMUNITY; COMBINATION THERAPY; T-CELLS; MACROPHAGE POLARIZATION; METRONOMIC CHEMOTHERAPY; ACQUIRED-RESISTANCE; 1ST-LINE TREATMENT; METASTATIC HEAD;
D O I
10.3390/pharmaceutics15082166
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Immune checkpoint inhibitors (ICI) have achieved unprecedented clinical success in cancer treatment. However, drug resistance to ICI therapy is a major hurdle that prevents cancer patients from responding to the treatment or having durable disease control. Drug repurposing refers to the application of clinically approved drugs, with characterized pharmacological properties and known adverse effect profiles, to new indications. It has also emerged as a promising strategy to overcome drug resistance. In this review, we summarized the latest research about drug repurposing to overcome ICI resistance. Repurposed drugs work by either exerting immunostimulatory activities or abolishing the immunosuppressive tumor microenvironment (TME). Compared to the de novo drug design strategy, they provide novel and affordable treatment options to enhance cancer immunotherapy that can be readily evaluated in the clinic. Biomarkers are exploited to identify the right patient population to benefit from the repurposed drugs and drug combinations. Phenotypic screening of chemical libraries has been conducted to search for T-cell-modifying drugs. Genomics and integrated bioinformatics analysis, artificial intelligence, machine and deep learning approaches are employed to identify novel modulators of the immunosuppressive TME.
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页数:36
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