{"title":"Overcoming resistance to anti-PD-L1 immunotherapy: mechanisms, combination strategies, and future directions.","authors":"Kartik Mandal,Ganesh Kumar Barik,Manas Kumar Santra","doi":"10.1186/s12943-025-02400-z","DOIUrl":null,"url":null,"abstract":"Cancer cells express high levels of programmed cell death-ligand 1 (PD-L1) to evade immune surveillance. PD-L1 interacts with PD-1 on T cells to make them non-functional. Thus, PD-L1 and PD-1 are pivotal targets in cancer immunotherapy. While anti-PD-1/PD-L1 therapies have offered renewed hope for many patients, their modest efficacy remains a critical concern. This underscores the urgent need to unravel the intricate mechanisms that govern both therapeutic responses as well as resistance to immunotherapy. This review explores the multifaceted nature of PD-L1, including factors that regulate its expression, tumor-immune interactions, and the resistance mechanisms associated with anti-PD-L1 immunotherapy. Several promising strategies have been explored to overcome these challenges, such as combination therapies, modulation of the tumor microenvironment, neoantigen targeting, and dynamic biomarker monitoring. Outcomes of these approaches, integrating advanced technologies like high-resolution imaging, machine learning, multi-omics profiling, and liquid biopsy for soluble PD-L1 detection emerge as a powerful means to refine patient stratification. Together, these innovations pave the way toward more precise and personalized immunotherapy, maximizing clinical benefits for cancer patients. Additionally, the evolving landscape of clinical trials involving anti-PD-1/PD-L1 monoclonal antibodies has been explored, emphasizing the integration of immune checkpoint therapies with chemotherapy, radiotherapy, targeted therapy, CAR-T, and metabolic immunotherapy to overcome resistance in refractory cancers. By embarking on these challenges and leveraging novel therapeutic strategies, this review intends to advance the understanding of more effective, personalized cancer immunotherapies, ultimately improving outcomes for a broader range of patients.","PeriodicalId":19000,"journal":{"name":"Molecular Cancer","volume":"33 1","pages":"246"},"PeriodicalIF":33.9000,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Cancer","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12943-025-02400-z","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Cancer cells express high levels of programmed cell death-ligand 1 (PD-L1) to evade immune surveillance. PD-L1 interacts with PD-1 on T cells to make them non-functional. Thus, PD-L1 and PD-1 are pivotal targets in cancer immunotherapy. While anti-PD-1/PD-L1 therapies have offered renewed hope for many patients, their modest efficacy remains a critical concern. This underscores the urgent need to unravel the intricate mechanisms that govern both therapeutic responses as well as resistance to immunotherapy. This review explores the multifaceted nature of PD-L1, including factors that regulate its expression, tumor-immune interactions, and the resistance mechanisms associated with anti-PD-L1 immunotherapy. Several promising strategies have been explored to overcome these challenges, such as combination therapies, modulation of the tumor microenvironment, neoantigen targeting, and dynamic biomarker monitoring. Outcomes of these approaches, integrating advanced technologies like high-resolution imaging, machine learning, multi-omics profiling, and liquid biopsy for soluble PD-L1 detection emerge as a powerful means to refine patient stratification. Together, these innovations pave the way toward more precise and personalized immunotherapy, maximizing clinical benefits for cancer patients. Additionally, the evolving landscape of clinical trials involving anti-PD-1/PD-L1 monoclonal antibodies has been explored, emphasizing the integration of immune checkpoint therapies with chemotherapy, radiotherapy, targeted therapy, CAR-T, and metabolic immunotherapy to overcome resistance in refractory cancers. By embarking on these challenges and leveraging novel therapeutic strategies, this review intends to advance the understanding of more effective, personalized cancer immunotherapies, ultimately improving outcomes for a broader range of patients.
期刊介绍:
Molecular Cancer is a platform that encourages the exchange of ideas and discoveries in the field of cancer research, particularly focusing on the molecular aspects. Our goal is to facilitate discussions and provide insights into various areas of cancer and related biomedical science. We welcome articles from basic, translational, and clinical research that contribute to the advancement of understanding, prevention, diagnosis, and treatment of cancer.
The scope of topics covered in Molecular Cancer is diverse and inclusive. These include, but are not limited to, cell and tumor biology, angiogenesis, utilizing animal models, understanding metastasis, exploring cancer antigens and the immune response, investigating cellular signaling and molecular biology, examining epidemiology, genetic and molecular profiling of cancer, identifying molecular targets, studying cancer stem cells, exploring DNA damage and repair mechanisms, analyzing cell cycle regulation, investigating apoptosis, exploring molecular virology, and evaluating vaccine and antibody-based cancer therapies.
Molecular Cancer serves as an important platform for sharing exciting discoveries in cancer-related research. It offers an unparalleled opportunity to communicate information to both specialists and the general public. The online presence of Molecular Cancer enables immediate publication of accepted articles and facilitates the presentation of large datasets and supplementary information. This ensures that new research is efficiently and rapidly disseminated to the scientific community.