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Liang Y, Maeda O, Ando Y. Biomarkers for immune-related adverse events in cancer patients treated with immune checkpoint inhibitors. Jpn J Clin Oncol 2024; 54:365-375. [PMID: 38183211 DOI: 10.1093/jjco/hyad184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 12/12/2023] [Indexed: 01/07/2024] Open
Abstract
Although immune checkpoint inhibitors have greatly improved cancer therapy, they also cause immune-related adverse events, including a wide range of inflammatory side effects resulting from excessive immune activation. Types of immune-related adverse events are diverse and can occur in almost any organ, with different frequencies and severities. Furthermore, immune-related adverse events may occur within the first few weeks after treatment or even several months after treatment discontinuation. Predictive biomarkers include blood cell counts and cell surface markers, serum proteins, autoantibodies, cytokines/chemokines, germline genetic variations and gene expression profiles, human leukocyte antigen genotype, microRNAs and the gut microbiome. Given the inconsistencies in research results and limited practical utility, there is to date no established biomarker that can be used in routine clinical practice, and additional investigations are essential to demonstrate efficacy and subsequently facilitate integration into routine clinical use.
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Affiliation(s)
- Yao Liang
- Department of Clinical Oncology and Chemotherapy, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Osamu Maeda
- Department of Clinical Oncology and Chemotherapy, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Yuichi Ando
- Department of Clinical Oncology and Chemotherapy, Nagoya University Hospital, Nagoya, Aichi, Japan
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Polcaro G, Liguori L, Manzo V, Chianese A, Donadio G, Caputo A, Scognamiglio G, Dell'Annunziata F, Langella M, Corbi G, Ottaiano A, Cascella M, Perri F, De Marco M, Col JD, Nassa G, Giurato G, Zeppa P, Filippelli A, Franci G, Piaz FD, Conti V, Pepe S, Sabbatino F. rs822336 binding to C/EBPβ and NFIC modulates induction of PD-L1 expression and predicts anti-PD-1/PD-L1 therapy in advanced NSCLC. Mol Cancer 2024; 23:63. [PMID: 38528526 PMCID: PMC10962156 DOI: 10.1186/s12943-024-01976-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 02/29/2024] [Indexed: 03/27/2024] Open
Abstract
Efficient predictive biomarkers are needed for immune checkpoint inhibitor (ICI)-based immunotherapy in non-small cell lung cancer (NSCLC). Testing the predictive value of single nucleotide polymorphisms (SNPs) in programmed cell death 1 (PD-1) or its ligand 1 (PD-L1) has shown contrasting results. Here, we aim to validate the predictive value of PD-L1 SNPs in advanced NSCLC patients treated with ICIs as well as to define the molecular mechanisms underlying the role of the identified SNP candidate. rs822336 efficiently predicted response to anti-PD-1/PD-L1 immunotherapy in advanced non-oncogene addicted NSCLC patients as compared to rs2282055 and rs4143815. rs822336 mapped to the promoter/enhancer region of PD-L1, differentially affecting the induction of PD-L1 expression in human NSCLC cell lines as well as their susceptibility to HLA class I antigen matched PBMCs incubated with anti-PD-1 monoclonal antibody nivolumab. The induction of PD-L1 expression by rs822336 was mediated by a competitive allele-specificity binding of two identified transcription factors: C/EBPβ and NFIC. As a result, silencing of C/EBPβ and NFIC differentially regulated the induction of PD-L1 expression in human NSCLC cell lines carrying different rs822336 genotypes. Analysis by binding microarray further validated the competitive allele-specificity binding of C/EBPβ and NFIC to PD-L1 promoter/enhancer region based on rs822336 genotype in human NSCLC cell lines. These findings have high clinical relevance since identify rs822336 and induction of PD-L1 expression as novel biomarkers for predicting anti-PD-1/PD-L1-based immunotherapy in advanced NSCLC patients.
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Affiliation(s)
- Giovanna Polcaro
- Oncology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, 84081, Italy
| | - Luigi Liguori
- Oncology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, 84081, Italy
- Oncology Unit, Department of Medicine, Surgery and Dentistry, University of Naples "Federico II", Naples, 80131, Italy
| | - Valentina Manzo
- Clinical Pharmacology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, 84081, Italy
- University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, 84131, Italy
| | - Annalisa Chianese
- Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples, 80138, Italy
| | - Giuliana Donadio
- Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, 84081, Italy
| | - Alessandro Caputo
- University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, 84131, Italy
- Pathology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, 84081, Italy
| | - Giosuè Scognamiglio
- Pathology Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, Naples, 80131, Italy
| | - Federica Dell'Annunziata
- Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples, 80138, Italy
| | - Maddalena Langella
- Hematology and Transplant Unit, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, 84131, Italy
| | - Graziamaria Corbi
- Department of Translational Medical Sciences, University of Naples "Federico II", Naples, 80131, Italy
| | - Alessandro Ottaiano
- Division of Innovative Therapies for Abdominal Metastases, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, Naples, 80131, Italy
| | - Marco Cascella
- Unit of Anesthesiology, Intensive Care Medicine, and Pain Medicine, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, 84081, Italy
| | - Francesco Perri
- Medical and Experimental Head and Neck Oncology Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, Naples, 80131, Italy
| | - Margot De Marco
- Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, 84081, Italy
| | - Jessica Dal Col
- Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, 84081, Italy
| | - Giovanni Nassa
- Laboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, 84081, Italy
| | - Giorgio Giurato
- Laboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, 84081, Italy
| | - Pio Zeppa
- University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, 84131, Italy
- Pathology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, 84081, Italy
| | - Amelia Filippelli
- Clinical Pharmacology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, 84081, Italy
- University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, 84131, Italy
| | - Gianluigi Franci
- University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, 84131, Italy
- Clinical Microbiology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, 84081, Italy
| | - Fabrizio Dal Piaz
- University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, 84131, Italy
- Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, 84081, Italy
| | - Valeria Conti
- Clinical Pharmacology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, 84081, Italy.
- University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, 84131, Italy.
| | - Stefano Pepe
- Oncology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, 84081, Italy.
- University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, 84131, Italy.
| | - Francesco Sabbatino
- Oncology Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, 84081, Italy.
- University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, 84131, Italy.
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de Joode K, Heersche N, Basak EA, Bins S, van der Veldt AAM, van Schaik RHN, Mathijssen RHJ. Review - The impact of pharmacogenetics on the outcome of immune checkpoint inhibitors. Cancer Treat Rev 2024; 122:102662. [PMID: 38043396 DOI: 10.1016/j.ctrv.2023.102662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 11/22/2023] [Accepted: 11/23/2023] [Indexed: 12/05/2023]
Abstract
The development of immune checkpoint inhibitors (ICIs) has a tremendous effect on the treatment options for multiple types of cancer. Nonetheless, there is a large interpatient variability in response, survival, and the development of immune-related adverse events (irAEs). Pharmacogenetics is the general term for germline genetic variations, which may cause the observed interindividual differences in response or toxicity to treatment. These genetic variations can either be single-nucleotide polymorphisms (SNPs) or structural variants, such as gene deletions, amplifications or rearrangements. For ICIs, pharmacogenetic variation in the human leukocyte antigen molecules has also been studied with regard to treatment outcome. This review presents a summary of the literature regarding the pharmacogenetics of ICI treatment, discusses the most important known genetic variations and offers recommendations on the application of pharmacogenetics for ICI treatment.
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Affiliation(s)
- Karlijn de Joode
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Niels Heersche
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands; Department of Clinical Chemistry, Erasmus MC, Erasmus University Hospital, Rotterdam, the Netherlands
| | - Edwin A Basak
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Sander Bins
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Astrid A M van der Veldt
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands; Department of Radiology & Nuclear Medicine, Erasmus MC, Erasmus University Hospital, Rotterdam, the Netherlands
| | - Ron H N van Schaik
- Department of Clinical Chemistry, Erasmus MC, Erasmus University Hospital, Rotterdam, the Netherlands
| | - Ron H J Mathijssen
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
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Lyu D, He G, Zhou K, Xu J, Zeng H, Li T, Tang N. Identification of Immune-Related Genes as Biomarkers for Uremia. Int J Gen Med 2023; 16:5633-5649. [PMID: 38050489 PMCID: PMC10693762 DOI: 10.2147/ijgm.s435732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 11/03/2023] [Indexed: 12/06/2023] Open
Abstract
Purpose Uremia, which is characterized by immunodeficiency, is associated with the deterioration of kidney function. Immune-related genes (IRGs) are crucial for uremia progression. Methods The co-expression network was constructed to identify key modular genes associated with uremia. IRGs were intersected with differentially expressed genes (DEGs) between uremia and control groups and key modular genes to obtain differentially expressed IRGs (DEIRGs). DEIRGs were subjected to functional enrichment analysis. The protein-protein interaction (PPI) network was constructed. The candidate genes were identified using the cytoHubba tool. The biomarkers were identified using various machine learning algorithms. The diagnostic value of the biomarkers was evaluated using receiver operating characteristic (ROC) analysis. The immune infiltration analysis was implemented. The biological pathways of biomarkers were identified using gene set enrichment analysis and ingenuity pathway analysis. The mRNA expression of biomarkers was validated using blood samples of patients with uremia and healthy subjects with quantitative real-time polymerase chain reaction (qRT-PCR). Results In total, four biomarkers (PDCD1, NGF, PDGFRB, and ZAP70) were identified by machine learning methods. ROC analysis demonstrated that the area under the curve values of individual biomarkers were > 0.9, indicating good diagnostic power. The nomogram model of biomarkers exhibited good predictive power. The proportions of six immune cells significantly varied between the uremia and control groups. ZAP70 expression was positively correlated with the proportions of resting natural killer (NK) cells, naïve B cells, and regulatory T cells. Functional enrichment analysis revealed that the biomarkers were mainly associated with translational function and neuroactive ligand-receptor interaction. ZAP70 regulated NK cell signaling. The PDCD1 and NGF expression levels determined using qRT-PCR were consistent with those determined using bioinformatics analysis. Conclusion PDCD1, NGF, PDGFRB, and ZAP70 were identified as biomarkers for uremia, providing a theoretical foundation for uremia diagnosis.
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Affiliation(s)
- Dongning Lyu
- Department of Nephrology Clinic, Guangxi International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, People’s Republic of China
| | - Guangyu He
- Department of Nephrology Clinic, Guangxi International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, People’s Republic of China
| | - Kan Zhou
- Department of Nephrology Clinic, Guangxi International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, People’s Republic of China
| | - Jin Xu
- Department of Nephrology Clinic, Guangxi International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, People’s Republic of China
| | - Haifei Zeng
- Department of Nephrology Clinic, Guangxi International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, People’s Republic of China
| | - Tongyu Li
- Department of Nephrology Clinic, Guangxi International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, People’s Republic of China
| | - Ningbo Tang
- Department of Nephrology Clinic, Guangxi International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, People’s Republic of China
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Fahey CC, Gracie TJ, Johnson DB. Immune checkpoint inhibitors: maximizing benefit whilst minimizing toxicity. Expert Rev Anticancer Ther 2023; 23:673-683. [PMID: 37194222 PMCID: PMC10330517 DOI: 10.1080/14737140.2023.2215435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 05/15/2023] [Indexed: 05/18/2023]
Abstract
INTRODUCTION The advent of immunotherapy has revolutionized the treatment of cancer; anti-tumor efficacy has been observed with immune checkpoint inhibitors (ICI) in ~20 different cancer types with durable responses in some cases. However, the risk of toxicity in the form of immune-related adverse events (irAE) partially counterbalances these benefits, and there are no FDA-approved biomarkers to categorize patients by likelihood of response or risk of irAEs. AREAS COVERED We conducted a thorough review of the literature of clinical studies regarding ICI and their toxicities. In this review, we synthesize the current body of literature about ICI treatment and irAE by summarizing the classes and uses of ICI, how to identify patients at risk for irAE, present the current understanding of irAE development, describe ongoing research into biomarkers of irAE, examine opportunities for irAE prevention, described management of steroid refractory irAE, and highlight future directions for development of prevention and management strategies. EXPERT OPINION While ongoing biomarker studies are promising, it is unlikely that there will be a 'one-size-fits-all' approach to categorizing irAE risk. In contrast, improved management and irAE prophylaxis are potentially in reach, and ongoing trials will help elucidate best practices.
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Van Mol P, Donders E, Lambrechts D, Wauters E. Immune checkpoint biology in health & disease: Immune checkpoint biology and autoimmunity in cancer patients. INTERNATIONAL REVIEW OF CELL AND MOLECULAR BIOLOGY 2023; 382:181-206. [PMID: 38225103 DOI: 10.1016/bs.ircmb.2023.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/17/2024]
Abstract
Immune checkpoints (ICs) play a central role in maintaining immune homoeostasis. The discovery that tumours use this physiological mechanism to avoid elimination by the immune system, opened up avenues for therapeutic targeting of ICs as a novel way of treating cancer. However, this therapy a new array of autoimmune side effects, termed immune-related adverse events (irAEs). In this narrative review, we first recapitulate the physiological function of ICs that are approved targets for cancer immunotherapy (CTLA-4, PD-(L)1 and LAG-3), as the groundwork to critically discuss current knowledge on irAEs. Specifically, we summarize clinical aspects and examine a molecular classification and predisposing factors of irAEs. Finally, we discuss irAE treatment, particularly emphasizing how molecular knowledge is changing the current treatment paradigm.
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Affiliation(s)
- Pierre Van Mol
- VIB - CCB Laboratory of Translational Genetics, KU Leuven, Leuven, Belgium; Pneumology - Respiratory Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Elena Donders
- VIB - CCB Laboratory of Translational Genetics, KU Leuven, Leuven, Belgium; Pneumology - Respiratory Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Diether Lambrechts
- VIB - CCB Laboratory of Translational Genetics, KU Leuven, Leuven, Belgium
| | - Els Wauters
- Pneumology - Respiratory Oncology, University Hospitals Leuven, Leuven, Belgium.
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Les I, Martínez M, Pérez-Francisco I, Cabero M, Teijeira L, Arrazubi V, Torrego N, Campillo-Calatayud A, Elejalde I, Kochan G, Escors D. Predictive Biomarkers for Checkpoint Inhibitor Immune-Related Adverse Events. Cancers (Basel) 2023; 15:cancers15051629. [PMID: 36900420 PMCID: PMC10000735 DOI: 10.3390/cancers15051629] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/24/2023] [Accepted: 02/28/2023] [Indexed: 03/09/2023] Open
Abstract
Immune-checkpoint inhibitors (ICIs) are antagonists of inhibitory receptors in the immune system, such as the cytotoxic T-lymphocyte-associated antigen-4, the programmed cell death protein-1 and its ligand PD-L1, and they are increasingly used in cancer treatment. By blocking certain suppressive pathways, ICIs promote T-cell activation and antitumor activity but may induce so-called immune-related adverse events (irAEs), which mimic traditional autoimmune disorders. With the approval of more ICIs, irAE prediction has become a key factor in improving patient survival and quality of life. Several biomarkers have been described as potential irAE predictors, some of them are already available for clinical use and others are under development; examples include circulating blood cell counts and ratios, T-cell expansion and diversification, cytokines, autoantibodies and autoantigens, serum and other biological fluid proteins, human leucocyte antigen genotypes, genetic variations and gene profiles, microRNAs, and the gastrointestinal microbiome. Nevertheless, it is difficult to generalize the application of irAE biomarkers based on the current evidence because most studies have been retrospective, time-limited and restricted to a specific type of cancer, irAE or ICI. Long-term prospective cohorts and real-life studies are needed to assess the predictive capacity of different potential irAE biomarkers, regardless of the ICI type, organ involved or cancer site.
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Affiliation(s)
- Iñigo Les
- Internal Medicine Department, Navarre University Hospital, 31008 Pamplona, Spain
- Autoimmune Diseases Unit, Internal Medicine Department, Navarre University Hospital, 31008 Pamplona, Spain
- Inflammatory and Immune-Mediated Diseases Group, Instituto de Investigación Sanitaria de Navarra (IdISNA), Navarrabiomed-Public University of Navarre, 31008 Pamplona, Spain
- Correspondence: (I.L.); (D.E.); Tel.: +34-84-842-9516 (I.L.)
| | - Mireia Martínez
- Osakidetza Basque Health Service, Department of Medical Oncology, Araba University Hospital, 01009 Vitoria-Gasteiz, Spain
- Lung Cancer Research Group, Bioaraba Health Research Institute, 01006 Vitoria-Gasteiz, Spain
| | - Inés Pérez-Francisco
- Breast Cancer Research Group, Bioaraba Health Research Institute, 01006 Vitoria-Gasteiz, Spain
| | - María Cabero
- Clinical Trials Platform, Bioaraba Health Research Institute, 01006 Vitoria-Gasteiz, Spain
| | - Lucía Teijeira
- Medical Oncology Department, Navarre University Hospital, 31008 Pamplona, Spain
| | - Virginia Arrazubi
- Medical Oncology Department, Navarre University Hospital, 31008 Pamplona, Spain
| | - Nuria Torrego
- Osakidetza Basque Health Service, Department of Medical Oncology, Araba University Hospital, 01009 Vitoria-Gasteiz, Spain
- Lung Cancer Research Group, Bioaraba Health Research Institute, 01006 Vitoria-Gasteiz, Spain
| | - Ana Campillo-Calatayud
- Inflammatory and Immune-Mediated Diseases Group, Instituto de Investigación Sanitaria de Navarra (IdISNA), Navarrabiomed-Public University of Navarre, 31008 Pamplona, Spain
| | - Iñaki Elejalde
- Internal Medicine Department, Navarre University Hospital, 31008 Pamplona, Spain
- Autoimmune Diseases Unit, Internal Medicine Department, Navarre University Hospital, 31008 Pamplona, Spain
- Inflammatory and Immune-Mediated Diseases Group, Instituto de Investigación Sanitaria de Navarra (IdISNA), Navarrabiomed-Public University of Navarre, 31008 Pamplona, Spain
| | - Grazyna Kochan
- Oncoimmunology Group, Instituto de Investigación Sanitaria de Navarra (IdISNA), Navarrabiomed-Public University of Navarre, 31008 Pamplona, Spain
| | - David Escors
- Oncoimmunology Group, Instituto de Investigación Sanitaria de Navarra (IdISNA), Navarrabiomed-Public University of Navarre, 31008 Pamplona, Spain
- Correspondence: (I.L.); (D.E.); Tel.: +34-84-842-9516 (I.L.)
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