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De Rosa C, Iommelli F, De Rosa V, Ercolano G, Sodano F, Tuccillo C, Amato L, Tirino V, Ariano A, Cimmino F, di Guida G, Filosa G, di Liello A, Ciardiello D, Martinelli E, Troiani T, Napolitano S, Martini G, Ciardiello F, Papaccio F, Morgillo F, Della Corte CM. PBMCs as Tool for Identification of Novel Immunotherapy Biomarkers in Lung Cancer. Biomedicines 2024; 12:809. [PMID: 38672164 PMCID: PMC11048624 DOI: 10.3390/biomedicines12040809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 03/29/2024] [Accepted: 04/03/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Lung cancer (LC), including both non-small (NSCLC) and small (SCLC) subtypes, is currently treated with a combination of chemo- and immunotherapy. However, predictive biomarkers to identify high-risk patients are needed. Here, we explore the role of peripheral blood mononuclear cells (PBMCs) as a tool for novel biomarkers searching. METHODS We analyzed the expression of the cGAS-STING pathway, a key DNA sensor that activates during chemotherapy, in PBMCs from LC patients divided into best responders (BR), responders (R) and non-responders (NR). The PBMCs were whole exome sequenced (WES). RESULTS PBMCs from BR and R patients of LC cohorts showed the highest levels of STING (p < 0.0001) and CXCL10 (p < 0.0001). From WES, each subject had at least 1 germline/somatic alteration in a DDR gene and the presence of more DDR gene mutations correlated with clinical responses, suggesting novel biomarker implications. Thus, we tested the effect of the pharmacological DDR inhibitor (DDRi) in PBMCs and in three-dimensional spheroid co-culture of PBMCs and LC cell lines; we found that DDRi strongly increased cGAS-STING expression and tumor infiltration ability of immune cells in NR and R patients. Furthermore, we performed FACS analysis of PBMCs derived from LC patients from the BR, R and NR cohorts and we found that cytotoxic T cell subpopulations displayed the highest STING expression. CONCLUSIONS cGAS-STING signaling activation in PBMCs may be a novel potential predictive biomarker for the response to immunotherapy and high levels are correlated with a better response to treatment along with an overall increased antitumor immune injury.
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Affiliation(s)
- Caterina De Rosa
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy; (C.D.R.); (C.T.); (L.A.); (A.A.); (G.d.G.); (G.F.); (A.d.L.); (E.M.); (T.T.); (S.N.); (G.M.); (F.C.); (F.M.)
| | - Francesca Iommelli
- Institute of Biostructures and Bioimaging, National Research Council, 80145 Naples, Italy;
| | - Viviana De Rosa
- Institute of Biostructures and Bioimaging, National Research Council, 80145 Naples, Italy;
| | - Giuseppe Ercolano
- Department of Pharmacy, School of Medicine, University of Naples Federico II, 80138 Naples, Italy; (G.E.); (F.S.)
| | - Federica Sodano
- Department of Pharmacy, School of Medicine, University of Naples Federico II, 80138 Naples, Italy; (G.E.); (F.S.)
| | - Concetta Tuccillo
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy; (C.D.R.); (C.T.); (L.A.); (A.A.); (G.d.G.); (G.F.); (A.d.L.); (E.M.); (T.T.); (S.N.); (G.M.); (F.C.); (F.M.)
| | - Luisa Amato
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy; (C.D.R.); (C.T.); (L.A.); (A.A.); (G.d.G.); (G.F.); (A.d.L.); (E.M.); (T.T.); (S.N.); (G.M.); (F.C.); (F.M.)
| | - Virginia Tirino
- Department of Experimental Medicine, University of Campania Luigi Vanvitelli, 81100 Caserta, Italy;
- U.P. Diagnostica Citometrica e Mutazionale, A.O.U. Vanvitelli, Università degli Studi della Campania, 80138 Naples, Italy
| | - Annalisa Ariano
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy; (C.D.R.); (C.T.); (L.A.); (A.A.); (G.d.G.); (G.F.); (A.d.L.); (E.M.); (T.T.); (S.N.); (G.M.); (F.C.); (F.M.)
| | - Flora Cimmino
- Hospital “Martiri Di Villa Malta”, 84087 Sarno, Italy;
| | - Gaetano di Guida
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy; (C.D.R.); (C.T.); (L.A.); (A.A.); (G.d.G.); (G.F.); (A.d.L.); (E.M.); (T.T.); (S.N.); (G.M.); (F.C.); (F.M.)
| | - Gennaro Filosa
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy; (C.D.R.); (C.T.); (L.A.); (A.A.); (G.d.G.); (G.F.); (A.d.L.); (E.M.); (T.T.); (S.N.); (G.M.); (F.C.); (F.M.)
| | - Alessandra di Liello
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy; (C.D.R.); (C.T.); (L.A.); (A.A.); (G.d.G.); (G.F.); (A.d.L.); (E.M.); (T.T.); (S.N.); (G.M.); (F.C.); (F.M.)
| | - Davide Ciardiello
- Division of Gastrointestinal Medical Oncology and Neuroendocrine Tumors, European Institute of Oncology (IEO), IRCCS, 20141 Milan, Italy;
| | - Erika Martinelli
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy; (C.D.R.); (C.T.); (L.A.); (A.A.); (G.d.G.); (G.F.); (A.d.L.); (E.M.); (T.T.); (S.N.); (G.M.); (F.C.); (F.M.)
| | - Teresa Troiani
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy; (C.D.R.); (C.T.); (L.A.); (A.A.); (G.d.G.); (G.F.); (A.d.L.); (E.M.); (T.T.); (S.N.); (G.M.); (F.C.); (F.M.)
| | - Stefania Napolitano
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy; (C.D.R.); (C.T.); (L.A.); (A.A.); (G.d.G.); (G.F.); (A.d.L.); (E.M.); (T.T.); (S.N.); (G.M.); (F.C.); (F.M.)
| | - Giulia Martini
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy; (C.D.R.); (C.T.); (L.A.); (A.A.); (G.d.G.); (G.F.); (A.d.L.); (E.M.); (T.T.); (S.N.); (G.M.); (F.C.); (F.M.)
| | - Fortunato Ciardiello
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy; (C.D.R.); (C.T.); (L.A.); (A.A.); (G.d.G.); (G.F.); (A.d.L.); (E.M.); (T.T.); (S.N.); (G.M.); (F.C.); (F.M.)
| | - Federica Papaccio
- Department of Medicine, Surgery and Dentistry, “Scuola Medica Salernitana”, University of Salerno, 84084 Baronissi, Italy;
| | - Floriana Morgillo
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy; (C.D.R.); (C.T.); (L.A.); (A.A.); (G.d.G.); (G.F.); (A.d.L.); (E.M.); (T.T.); (S.N.); (G.M.); (F.C.); (F.M.)
| | - Carminia Maria Della Corte
- Department of Precision Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy; (C.D.R.); (C.T.); (L.A.); (A.A.); (G.d.G.); (G.F.); (A.d.L.); (E.M.); (T.T.); (S.N.); (G.M.); (F.C.); (F.M.)
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Qin Y, Huo M, Liu X, Li SC. Biomarkers and computational models for predicting efficacy to tumor ICI immunotherapy. Front Immunol 2024; 15:1368749. [PMID: 38524135 PMCID: PMC10957591 DOI: 10.3389/fimmu.2024.1368749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 02/27/2024] [Indexed: 03/26/2024] Open
Abstract
Numerous studies have shown that immune checkpoint inhibitor (ICI) immunotherapy has great potential as a cancer treatment, leading to significant clinical improvements in numerous cases. However, it benefits a minority of patients, underscoring the importance of discovering reliable biomarkers that can be used to screen for potential beneficiaries and ultimately reduce the risk of overtreatment. Our comprehensive review focuses on the latest advancements in predictive biomarkers for ICI therapy, particularly emphasizing those that enhance the efficacy of programmed cell death protein 1 (PD-1)/programmed cell death-ligand 1 (PD-L1) inhibitors and cytotoxic T-lymphocyte antigen-4 (CTLA-4) inhibitors immunotherapies. We explore biomarkers derived from various sources, including tumor cells, the tumor immune microenvironment (TIME), body fluids, gut microbes, and metabolites. Among them, tumor cells-derived biomarkers include tumor mutational burden (TMB) biomarker, tumor neoantigen burden (TNB) biomarker, microsatellite instability (MSI) biomarker, PD-L1 expression biomarker, mutated gene biomarkers in pathways, and epigenetic biomarkers. TIME-derived biomarkers include immune landscape of TIME biomarkers, inhibitory checkpoints biomarkers, and immune repertoire biomarkers. We also discuss various techniques used to detect and assess these biomarkers, detailing their respective datasets, strengths, weaknesses, and evaluative metrics. Furthermore, we present a comprehensive review of computer models for predicting the response to ICI therapy. The computer models include knowledge-based mechanistic models and data-based machine learning (ML) models. Among the knowledge-based mechanistic models are pharmacokinetic/pharmacodynamic (PK/PD) models, partial differential equation (PDE) models, signal networks-based models, quantitative systems pharmacology (QSP) models, and agent-based models (ABMs). ML models include linear regression models, logistic regression models, support vector machine (SVM)/random forest/extra trees/k-nearest neighbors (KNN) models, artificial neural network (ANN) and deep learning models. Additionally, there are hybrid models of systems biology and ML. We summarized the details of these models, outlining the datasets they utilize, their evaluation methods/metrics, and their respective strengths and limitations. By summarizing the major advances in the research on predictive biomarkers and computer models for the therapeutic effect and clinical utility of tumor ICI, we aim to assist researchers in choosing appropriate biomarkers or computer models for research exploration and help clinicians conduct precision medicine by selecting the best biomarkers.
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Affiliation(s)
- Yurong Qin
- Department of Computer Science, City University of Hong Kong, Kowloon, China
- City University of Hong Kong Shenzhen Research Institute, Shenzhen, Guangdong, China
| | - Miaozhe Huo
- Department of Computer Science, City University of Hong Kong, Kowloon, China
- City University of Hong Kong Shenzhen Research Institute, Shenzhen, Guangdong, China
| | - Xingwu Liu
- School of Mathematical Sciences, Dalian University of Technology, Dalian, Liaoning, China
| | - Shuai Cheng Li
- Department of Computer Science, City University of Hong Kong, Kowloon, China
- City University of Hong Kong Shenzhen Research Institute, Shenzhen, Guangdong, China
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Liang S, Wang H, Tian H, Xu Z, Wu M, Hua D, Li C. The prognostic biological markers of immunotherapy for non-small cell lung cancer: current landscape and future perspective. Front Immunol 2023; 14:1249980. [PMID: 37753089 PMCID: PMC10518408 DOI: 10.3389/fimmu.2023.1249980] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 08/24/2023] [Indexed: 09/28/2023] Open
Abstract
The emergence of immunotherapy, particularly programmed cell death 1 (PD-1) and programmed cell death ligand-1 (PD-L1) produced profound transformations for treating non-small cell lung cancer (NSCLC). Nevertheless, not all NSCLC patients can benefit from immunotherapy in clinical practice. In addition to limited response rates, exorbitant treatment costs, and the substantial threats involved with immune-related adverse events, the intricate interplay between long-term survival outcomes and early disease progression, including early immune hyperprogression, remains unclear. Consequently, there is an urgent imperative to identify robust predictive and prognostic biological markers, which not only possess the potential to accurately forecast the therapeutic efficacy of immunotherapy in NSCLC but also facilitate the identification of patient subgroups amenable to personalized treatment approaches. Furthermore, this advancement in patient stratification based on certain biological markers can also provide invaluable support for the management of immunotherapy in NSCLC patients. Hence, in this review, we comprehensively examine the current landscape of individual biological markers, including PD-L1 expression, tumor mutational burden, hematological biological markers, and gene mutations, while also exploring the potential of combined biological markers encompassing radiological and radiomic markers, as well as prediction models that have the potential to better predict responders to immunotherapy in NSCLC with an emphasis on some directions that warrant further investigation which can also deepen the understanding of clinicians and provide a reference for clinical practice.
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Affiliation(s)
- Shuai Liang
- Department of Oncology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
| | - Hanyu Wang
- Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Haixia Tian
- Department of Oncology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
| | - Zhicheng Xu
- Department of Oncology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
| | - Min Wu
- Suzhou Cancer Center Core Laboratory, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Dong Hua
- Department of Oncology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
- Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Chengming Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
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Wang X, Qiao Z, Aramini B, Lin D, Li X, Fan J. Potential biomarkers for immunotherapy in non-small-cell lung cancer. Cancer Metastasis Rev 2023; 42:661-675. [PMID: 37121931 DOI: 10.1007/s10555-022-10074-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 12/09/2022] [Indexed: 05/02/2023]
Abstract
For individuals with advanced or metastatic non-small cell lung cancer (NSCLC), the primary treatment is platinum-based doublet chemotherapy. Immune checkpoint inhibitors (ICIs), primarily PD-1/PD-L1 and CTLA-4, have been found to be effective in patients with NSCLC who have no EGFR/ALK mutations. Furthermore, ICIs are considered a standard therapy. The quantity of fresh immunogenic antigens discovered by cytotoxic T cells was measured by PD-L1 expression and tumor mutational burden (TMB), which were the first biomarkers assessed in clinical trials. However, immunotherapy did not have response efficacy markers similar to targeted therapy, highlighting the significance of newly developed biomarkers. This investigation aims to review the research on immunotherapy for NSCLC, focusing primarily on the impact of biomarkers on efficacy prediction to determine whether biomarkers may be utilized to evaluate the effectiveness of immunotherapy.
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Affiliation(s)
- Xing Wang
- Department of Thoracic Surgery, Shanghai General Hospital, Shanghai, China
| | - Ziyun Qiao
- Department of Thoracic Surgery, Shanghai General Hospital, Shanghai, China
| | - Beatrice Aramini
- Division of Thoracic Surgery, Department of Experimental, Diagnostic and Specialty Medicine-DIMES of the Alma Mater Studiorum, G.B. Morgagni-L. Pierantoni Hospital, University of Bologna, Forlì, Italy
| | - Dong Lin
- Department of Thoracic Surgery, Shanghai General Hospital, Shanghai, China
| | - Xiaolong Li
- Department of Thoracic Surgery, Shanghai General Hospital, Shanghai, China
| | - Jiang Fan
- Department of Thoracic Surgery, Shanghai General Hospital, Shanghai, China.
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Wu J, Feng Z, Wang R, Li A, Wang H, He X, Shen Z. Integration of bioinformatics analysis and experimental validation identifies plasma exosomal miR-103b/877-5p/29c-5p as diagnostic biomarkers for early lung adenocarcinoma. Cancer Med 2022; 11:4411-4421. [PMID: 35585716 PMCID: PMC9741994 DOI: 10.1002/cam4.4788] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 06/22/2021] [Accepted: 07/07/2021] [Indexed: 12/15/2022] Open
Abstract
The aim of this study was to identify miRNAs in plasma exosomes as noninvasive biomarkers for the early diagnosis of lung adenocarcinoma (LUAD). First, exosomal miRNA profiling of three patients with early LUAD and three patients with benign lung disease were screened by next-generation sequencing (NGS) method. Sequencing results showed that 154 exosomal miRNAs were differentially expressed in the plasma of LUAD patients, among which 68 miRNAs were up-regulated and 86 miRNAs were down-regulated. GSE137140 is a GEO database containing serum miRNAs sequencing data from 1566 lung cancer patients and 1774 non-cancer patients controls. When comparing the sequencing data, it was found that most miRNAs (37/68) up-regulated in our LUAD group were also significantly up-regulated in GSE137140, suggesting that circulating miRNAs in lung cancer patients may be enriched in plasma exosomes. In GSE137140, the AUC of the combination of hsa-miR-103b, hsa-miR-29c-5p and hsa-miR-877-5p was 0.873, showing great potential as new tumor markers. To our knowledge, these three exosomal miRNAs have not been reported in lung cancer research. Furthermore, bioinformatics tools were used to analyze the target genes of three candidate miRNAs, which were indeed closely related to the occurrence and development of lung cancer. Bioinformatics algorithms deduced a highly conserved sequence in the 3'-UTR of SFRP4, FOXM1 and TMEM98 that could be bound with miR-103b/877-5p/29c-5p. A luciferase assay indicated that miR-103b/877-5p/29c-5p directly targeted the 3'-UTR of SFRP4, FOXM1 and TMEM98, respectively. Finally, three candidate miRNAs were validated by qRT-PCR in 17 early LUAD samples and 17 control plasma samples. Integration of bioinformatics analysis and experimental validation identifies, this study provides novel insights into miRNA-related networks in LUAD. Hsa-miR-103b, hsa-miR-29c-5p, and hsa-miR-877-5p may be used as diagnostic biomarkers for early LUAD.
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Affiliation(s)
- Jing Wu
- Department of Clinical LaboratoryAnhui Provincial Hospital Affiliated to Anhui Medical UniversityHefeiAnhuiChina
| | - Zian Feng
- Department of Clinical LaboratoryThe First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of ChinaHefeiAnhuiChina
| | - Rui Wang
- Department of Clinical LaboratoryAnhui Provincial Hospital Affiliated to Anhui Medical UniversityHefeiAnhuiChina
| | - Ang Li
- Department of Clinical LaboratoryThe First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of ChinaHefeiAnhuiChina
| | - Hong Wang
- Department of Radiation OncologyThe First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of ChinaHefeiAnhuiChina
| | - Xiaodong He
- Anhui Provincial Center for Clinical LaboratoriesHefeiAnhuiChina
| | - Zuojun Shen
- Department of Clinical LaboratoryAnhui Provincial Hospital Affiliated to Anhui Medical UniversityHefeiAnhuiChina,Department of Clinical LaboratoryThe First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of ChinaHefeiAnhuiChina
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Nanamori H, Sawada Y. Epigenetic Modification of PD-1/PD-L1-Mediated Cancer Immunotherapy against Melanoma. Int J Mol Sci 2022; 23:ijms23031119. [PMID: 35163049 PMCID: PMC8835029 DOI: 10.3390/ijms23031119] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 01/10/2022] [Accepted: 01/19/2022] [Indexed: 02/06/2023] Open
Abstract
Malignant melanoma is one of the representative skin cancers with unfavorable clinical behavior. Immunotherapy is currently used for the treatment, and it dramatically improves clinical outcomes in patients with advanced malignant melanoma. On the other hand, not all these patients can obtain therapeutic efficacy. To overcome this limitation of current immunotherapy, epigenetic modification is a highlighted issue for clinicians. Epigenetic modification is involved in various physiological and pathological conditions in the skin. Recent studies identified that skin cancer, especially malignant melanoma, has advantages in tumor development, indicating that epigenetic manipulation for regulation of gene expression in the tumor can be expected to result in additional therapeutic efficacy during immunotherapy. In this review, we focus on the detailed molecular mechanism of epigenetic modification in immunotherapy, especially anti-PD-1/PD-L1 antibody treatment for malignant melanoma.
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Lodewijk I, Nunes SP, Henrique R, Jerónimo C, Dueñas M, Paramio JM. Tackling tumor microenvironment through epigenetic tools to improve cancer immunotherapy. Clin Epigenetics 2021; 13:63. [PMID: 33761971 PMCID: PMC7992805 DOI: 10.1186/s13148-021-01046-0] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 03/01/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Epigenetic alterations are known contributors to cancer development and aggressiveness. Additional to alterations in cancer cells, aberrant epigenetic marks are present in cells of the tumor microenvironment, including lymphocytes and tumor-associated macrophages, which are often overlooked but known to be a contributing factor to a favorable environment for tumor growth. Therefore, the main aim of this review is to give an overview of the epigenetic alterations affecting immune cells in the tumor microenvironment to provoke an immunosuppressive function and contribute to cancer development. Moreover, immunotherapy is briefly discussed in the context of epigenetics, describing both its combination with epigenetic drugs and the need for epigenetic biomarkers to predict response to immune checkpoint blockage. MAIN BODY Combining both topics, epigenetic machinery plays a central role in generating an immunosuppressive environment for cancer growth, which creates a barrier for immunotherapy to be successful. Furthermore, epigenetic-directed compounds may not only affect cancer cells but also immune cells in the tumor microenvironment, which could be beneficial for the clinical response to immunotherapy. CONCLUSION Thus, modulating epigenetics in combination with immunotherapy might be a promising therapeutic option to improve the success of this therapy. Further studies are necessary to (1) understand in depth the impact of the epigenetic machinery in the tumor microenvironment; (2) how the epigenetic machinery can be modulated according to tumor type to increase response to immunotherapy and (3) find reliable biomarkers for a better selection of patients eligible to immunotherapy.
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Affiliation(s)
- Iris Lodewijk
- Molecular Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales Y Tecnológicas (CIEMAT), 28040 Madrid, Spain
- Biomedical Research Institute I+12, University Hospital “12 de Octubre”, 28041 Madrid, Spain
| | - Sandra P. Nunes
- Molecular Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales Y Tecnológicas (CIEMAT), 28040 Madrid, Spain
- Biomedical Research Institute I+12, University Hospital “12 de Octubre”, 28041 Madrid, Spain
- Cancer Biology and Epigenetics Group – Research Center, Portuguese Oncology Institute of Porto (CI-IPOP), 4200-072 Porto, Portugal
| | - Rui Henrique
- Cancer Biology and Epigenetics Group – Research Center, Portuguese Oncology Institute of Porto (CI-IPOP), 4200-072 Porto, Portugal
- Department of Pathology, Portuguese Oncology Institute of Porto, 4200-072 Porto, Portugal
- Department of Pathology and Molecular Immunology, Institute of Biomedical Sciences Abel Salazar – University of Porto (ICBAS-UP), 4050-313 Porto, Portugal
| | - Carmen Jerónimo
- Cancer Biology and Epigenetics Group – Research Center, Portuguese Oncology Institute of Porto (CI-IPOP), 4200-072 Porto, Portugal
- Department of Pathology and Molecular Immunology, Institute of Biomedical Sciences Abel Salazar – University of Porto (ICBAS-UP), 4050-313 Porto, Portugal
| | - Marta Dueñas
- Molecular Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales Y Tecnológicas (CIEMAT), 28040 Madrid, Spain
- Biomedical Research Institute I+12, University Hospital “12 de Octubre”, 28041 Madrid, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain
| | - Jesús M. Paramio
- Molecular Oncology Unit, Centro de Investigaciones Energéticas, Medioambientales Y Tecnológicas (CIEMAT), 28040 Madrid, Spain
- Biomedical Research Institute I+12, University Hospital “12 de Octubre”, 28041 Madrid, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain
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