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Pascal M, Bax HJ, Bergmann C, Bianchini R, Castells M, Chauhan J, De Las Vecillas L, Hartmann K, Álvarez EI, Jappe U, Jimenez-Rodriguez TW, Knol E, Levi-Schaffer F, Mayorga C, Poli A, Redegeld F, Santos AF, Jensen-Jarolim E, Karagiannis SN. Granulocytes and mast cells in AllergoOncology-Bridging allergy to cancer: An EAACI position paper. Allergy 2024; 79:2319-2345. [PMID: 39036854 DOI: 10.1111/all.16246] [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: 04/25/2024] [Revised: 06/23/2024] [Accepted: 07/11/2024] [Indexed: 07/23/2024]
Abstract
Derived from the myeloid lineage, granulocytes, including basophils, eosinophils, and neutrophils, along with mast cells, play important, often disparate, roles across the allergic disease spectrum. While these cells and their mediators are commonly associated with allergic inflammation, they also exhibit several functions either promoting or restricting tumor growth. In this Position Paper we discuss common granulocyte and mast cell features relating to immunomodulatory functions in allergy and in cancer. We highlight key mechanisms which may inform cancer treatment and propose pertinent areas for future research. We suggest areas where understanding the communication between granulocytes, mast cells, and the tumor microenvironment, will be crucial for identifying immune mechanisms that may be harnessed to counteract tumor development. For example, a comprehensive understanding of allergic and immune factors driving distinct neutrophil states and those mechanisms that link mast cells with immunotherapy resistance, might enable targeted manipulation of specific subpopulations, leading to precision immunotherapy in cancer. We recommend specific areas of investigation in AllergoOncology and knowledge exchange across disease contexts to uncover pertinent reciprocal functions in allergy and cancer and allow therapeutic manipulation of these powerful cell populations. These will help address the unmet needs in stratifying and managing patients with allergic diseases and cancer.
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Affiliation(s)
- Mariona Pascal
- Immunology Department, CDB, Hospital Clínic de Barcelona; Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
- RETICS Asma, reacciones adversas y alérgicas (ARADYAL) and RICORS Red De Enfermedades Inflamatorias (REI), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Heather J Bax
- St. John's Institute of Dermatology, School of Basic & Medical Biosciences & KHP Centre for Translational Medicine, King's College London, London, UK
| | - Christoph Bergmann
- Department of Otorhinolaryngology, RKM740 Interdisciplinary Clinics, Düsseldorf, Germany
| | - Rodolfo Bianchini
- Institute of Pathophysiology and Allergy Research, Center of Pathophysiology, Infectiology and Immunology, Medical University Vienna, Vienna, Austria
- The interuniversity Messerli Research Institute, University of Veterinary Medicine Vienna, Medical University Vienna, Vienna, Austria
| | - Mariana Castells
- Division of Allergy and Clinical Immunology, Drug Hypersensitivity and Desensitization Center, Mastocytosis Center, Brigham and Women's Hospital; Harvard Medical School, Boston, USA
| | - Jitesh Chauhan
- St. John's Institute of Dermatology, School of Basic & Medical Biosciences & KHP Centre for Translational Medicine, King's College London, London, UK
| | | | - Karin Hartmann
- Division of Allergy, Department of Dermatology, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Biomedicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Elena Izquierdo Álvarez
- Department of Basic Medical Sciences, Facultad de Medicina, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Institute of Applied Molecular Medicine Instituto de Medicina Molecular Aplicada Nemesio Díez (IMMA), Madrid, Spain
| | - Uta Jappe
- Division of Clinical and Molecular Allergology, Priority Research Area Chronic Lung Diseases, Research Center Borstel, Leibniz Lung Center, German Center for Lung Research (DZL), Airway Research Center North (ARCN), Borstel, Germany
- Interdisciplinary Allergy Outpatient Clinic, Department of Pneumology, University of Luebeck, Luebeck, Germany
| | | | - Edward Knol
- Departments Center of Translational Immunology and Dermatology/Allergology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Francesca Levi-Schaffer
- Pharmacology and Experimental Therapeutics Unit, Institute for Drug Research, School of Pharmacy, Faculty of Medicine. The Hebrew University of Jerusalem, Ein Kerem Campus, Jerusalem, Israel
| | - Cristobalina Mayorga
- RETICS Asma, reacciones adversas y alérgicas (ARADYAL) and RICORS Red De Enfermedades Inflamatorias (REI), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Allergy Unit and Research Laboratory, Hospital Regional Universitario de Málaga-HRUM, Instituto de investigación Biomédica de Málaga -IBIMA-Plataforma BIONAND, Málaga, Spain
| | - Aurélie Poli
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Frank Redegeld
- Division of Pharmacology, Utrecht Institute of Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, The Netherlands
| | - Alexandra F Santos
- Department of Women and Children's Health (Pediatric Allergy), School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
- Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, London, UK
- Children's Allergy Service, Evelina London Children's Hospital, Guy's and St Thomas' Hospital, London, UK
| | - Erika Jensen-Jarolim
- Institute of Pathophysiology and Allergy Research, Center of Pathophysiology, Infectiology and Immunology, Medical University Vienna, Vienna, Austria
- The interuniversity Messerli Research Institute, University of Veterinary Medicine Vienna, Medical University Vienna, Vienna, Austria
| | - Sophia N Karagiannis
- St. John's Institute of Dermatology, School of Basic & Medical Biosciences & KHP Centre for Translational Medicine, King's College London, London, UK
- Breast Cancer Now Research Unit, School of Cancer & Pharmaceutical Sciences, King's College London, Guy's Cancer Centre, London, UK
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Liu Z, Yang S, Zhou S, Dong S, Du J. Prognostic Value of lncRNA DRAIC and miR-3940-3p in Lung Adenocarcinoma and Their Effect on Lung Adenocarcinoma Cell Progression. Cancer Manag Res 2021; 13:8367-8376. [PMID: 34764698 PMCID: PMC8577463 DOI: 10.2147/cmar.s320616] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 08/30/2021] [Indexed: 12/17/2022] Open
Abstract
Purpose Lung adenocarcinoma (LUAD) is a most common malignant tumor, even worse for diseases with relatively poor prognosis. Non-coding RNAs have the potential to be biomarkers for the prognosis of various cancers. LncRNA DRAIC and miR-3940-3p have been screened as dysregulated RNAs in LUAD. The clinical significance and biological function of lncRNA DRAIC and miR-3940-3p in LUAD were assessed in this study. Patients and Methods A total of 122 cases of LUAD patients with complete clinical information were enrolled. The expression levels of lncRNA DRAIC and miR-3940-3p were determined via RT-qPCR in LUAD tissues and cells. The relationship between lncRNA DRAIC or miR-3940-3p expression and the clinicopathological features of patients was analyzed based on the Pearson Chi-square test. For the prognostic value, the Kaplan–Meier plot and multi-variate Cox proportional regression analysis were introduced. Finally, the effect of lnc DRAIC and miR-3940-3p on the LUAD cellular function was investigated by CCK-8 and Transwell assay. Results lnc DRAIC was upregulated in LUAD tissues and cells, but miR-3940-3p was downregulated. Both of them showed significant associations with and TNM stage, lymph node metastasis, and a poor prognosis. Lnc-DRAIC and miR-3940-3p have the potential as independent prognostic factors for LUAD. Furthermore, the inhibition of lnc DRAIC can inhibit cell proliferation, migration, and invasion of LUAD partly as a ceRNA of miR-3940-3p. Conclusion lncRNA DRAIC/miR-3940-3p axis may be involved in the progression of LUAD and can be developed to promising prognostic factors, which may provide new insights into the treatment of LUAD.
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Affiliation(s)
- Zhenghua Liu
- Department of Thoracic Surgery, The First Affiliated Hospital of China Medical University, Shenyang, 110001, Liaoning Province, People's Republic of China
| | - Shize Yang
- Department of Thoracic Surgery, The First Affiliated Hospital of China Medical University, Shenyang, 110001, Liaoning Province, People's Republic of China
| | - Siyu Zhou
- Department of Thoracic Surgery, The First Affiliated Hospital of China Medical University, Shenyang, 110001, Liaoning Province, People's Republic of China
| | - Shiyao Dong
- Department of Thoracic Surgery, The First Affiliated Hospital of China Medical University, Shenyang, 110001, Liaoning Province, People's Republic of China
| | - Jiang Du
- Department of Thoracic Surgery, The First Affiliated Hospital of China Medical University, Shenyang, 110001, Liaoning Province, People's Republic of China
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Xu D, Wang Y, Wu J, Zhang Y, Liu Z, Chen Y, Zheng J. Systematic Characterization of Novel Immune Gene Signatures Predicts Prognostic Factors in Hepatocellular Carcinoma. Front Cell Dev Biol 2021; 9:686664. [PMID: 34631695 PMCID: PMC8494981 DOI: 10.3389/fcell.2021.686664] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Accepted: 08/20/2021] [Indexed: 01/08/2023] Open
Abstract
Background: The prognosis of patients with hepatocellular carcinoma (HCC) is negatively affected by the lack of effective prognostic indicators. The change of tumor immune microenvironment promotes the development of HCC. This study explored new markers and predicted the prognosis of HCC patients by systematically analyzing immune characteristic genes. Methods: Immune-related genes were obtained, and the differentially expressed immune genes (DEIGs) between tumor and para-cancer samples were identified and analyzed using gene expression profiles from TCGA, HCCDB, and GEO databases. An immune prognosis model was also constructed to evaluate the predictive performance in different cohorts. The high and low groups were divided based on the risk score of the model, and different algorithms were used to evaluate the tumor immune infiltration cell (TIIC). The expression and prognosis of core genes in pan-cancer cohorts were analyzed, and gene enrichment analysis was performed using clusterProfiler. Finally, the expression of the hub genes of the model was validated by clinical samples. Results: Based on the analysis of 730 immune-related genes, we identified 64 common DEIGs. These genes were enriched in the tumor immunologic related signaling pathways. The first 15 genes were selected using RankAggreg analysis, and all the genes showed a consistent expression trend across multi-cohorts. Based on lasso cox regression analysis, a 5-gene signature risk model (ATG10, IL18RAP, PRKCD, SLC11A1, and SPP1) was constructed. The signature has strong robustness and can stabilize different cohorts (TCGA-LIHC, HCCDB18, and GSE14520). Compared with other existing models, our model has better performance. CIBERSORT was used to assess the landscape maps of 22 types of immune cells in TCGA, GSE14520, and HCCDB18 cohorts, and found a consistent trend in the distribution of TIIC. In the high-risk score group, scores of Macrophages M1, Mast cell resting, and T cells CD8 were significantly lower than those of the low-risk score group. Different immune expression characteristics, lead to the different prognosis. Western blot demonstrated that ATG10, PRKCD, and SPP1 were highly expressed in cancer tissues, while IL18RAP and SLC11A1 expression in cancer tissues was lower. In addition, IL18RAP has a highly positive correlation with B cell, macrophage, Neutrophil, Dendritic cell, CD8 cell, and CD4 cell. The SPP1, PRKCD, and SLC11A1 genes have the strongest correlation with macrophages. The expression of ATG10, IL18RAP, PRKCD, SLC11A1, and SPP1 genes varies among different immune subtypes and between different T stages. Conclusion: The 5-immu-gene signature constructed in this study could be utilized as a new prognostic marker for patients with HCC.
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Affiliation(s)
- Dafeng Xu
- Department of Hepatobiliary and Pancreatic Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Yu Wang
- Geriatric Medicine Center, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Jincai Wu
- Department of Hepatobiliary and Pancreatic Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Yuliang Zhang
- Department of Otolaryngology-Head and Neck Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Zhehao Liu
- Department of Hepatobiliary and Pancreatic Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Yonghai Chen
- Department of Hepatobiliary and Pancreatic Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Jinfang Zheng
- Department of Hepatobiliary and Pancreatic Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
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Deng L, Wang P, Qu Z, Liu N. The Construction and Analysis of ceRNA Network and Immune Infiltration in Kidney Renal Clear Cell Carcinoma. Front Genet 2021; 12:667610. [PMID: 34567057 PMCID: PMC8455958 DOI: 10.3389/fgene.2021.667610] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Accepted: 08/09/2021] [Indexed: 01/01/2023] Open
Abstract
Background: Kidney renal clear cell carcinoma (KIRC) has the highest invasion, mortality and metastasis of the renal cell carcinomas and seriously affects patient’s quality of life. However, the composition of the immune microenvironment and regulatory mechanisms at transcriptomic level such as ceRNA of KIRC are still unclear. Methods: We constructed a ceRNA network associated with KIRC by analyzing the long non-coding RNA (lncRNA), miRNA and mRNA expression data of 506 tumor tissue samples and 71 normal adjacent tissue samples downloaded from The Cancer Genome Atlas (TCGA) database. In addition, we estimated the proportion of 22 immune cell types in these samples through “The Cell Type Identification by Estimating Relative Subsets of RNA Transcripts.” Based on the ceRNA network and immune cells screened by univariate Cox analysis and Lasso regression, two nomograms were constructed to predict the prognosis of patients with KIRC. Receiver operating characteristic curves (ROC) and calibration curves were employed to assess the discrimination and accuracy of the nomograms. Consequently, co-expression analysis was carried out to explore the relationship between each prognostic gene in a Cox proportional hazards regression model of ceRNA and each survival-related immune cell in a Cox proportional hazards regression model of immune cell types to reveal the potential regulatory mechanism. Results: We established a ceRNA network consisting of 12 lncRNAs, 25 miRNAs and 136 mRNAs. Two nomograms containing seven prognostic genes and two immune cells, respectively, were successfully constructed. Both ROC [area under curves (AUCs) of 1, 3, and 5-year survival in the nomogram based on ceRNA network: 0.779, 0.747, and 0.772; AUCs of 1, 3, and 5-year survivals in nomogram based on immune cells: 0.603, 0.642, and 0.607] and calibration curves indicated good accuracy and clinical application value of both models. Through co-correlation analysis between ceRNA and immune cells, we found both LINC00894 and KIAA1324 were positively correlated with follicular helper T (Tfh) cells and negatively correlated with resting mast cells. Conclusion: Based on the ceRNA network and tumor-infiltrating immune cells, we constructed two nomograms to predict the survival of KIRC patients and demonstrated their value in improving the personalized management of KIRC.
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Affiliation(s)
- Lugang Deng
- School of Public Health, Guangzhou Medical University, Guangzhou, China.,South China Hospital, Health Science Center, Shenzhen University, Shenzhen, China
| | - Peixi Wang
- Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Henan University, Kaifeng, China
| | - Zhi Qu
- Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Henan University, Kaifeng, China
| | - Nan Liu
- South China Hospital, Health Science Center, Shenzhen University, Shenzhen, China.,Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Henan University, Kaifeng, China
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Pang X, Zhang X, Huang Y, Qian S. Development and validation of m6A regulators' prognostic significance for endometrial cancer. Medicine (Baltimore) 2021; 100:e26551. [PMID: 34190193 PMCID: PMC8257909 DOI: 10.1097/md.0000000000026551] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 05/26/2021] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Endometrial cancer (EC) is the sixth most common cancer in women globally. It has been found that the expression levels of m6A regulators can be potentially used for prognostic stratification in some cancers, but the role of m6A regulators in EC prognosis remains unclear. METHODS The data of 584 EC samples were downloaded from The Cancer Genome Atlas and the mRNA expression profiles of 20 m6A regulators were analyzed, followed by functional enrichment analysis, immune infiltration analysis, and least absolute shrinkage and selection operator method-COX regression analysis. RESULTS The mRNA expression levels of 20 m6A regulators were significantly different between cancer samples across different grades. The 548 EC samples could be clearly divided into 2 clusters. Kaplan-Meier survival analysis proved that these two groups had highly different overall survival probabilities. Besides, the univariate regression analysis further reserved eight genes related to overall survival from the 20 m6A regulators. We established a prognostic signature including two genes, that is, IGF2BP1 and YTHDF3, that showed a strong ability for stratifying prognostically different EC patients. We identified 3239 differentially expressed genes between the high- and low-risk groups, involving in multiple biological processes and signaling pathways. Meanwhile, 6 differentially infiltrated immune cell types between the high- and low-risk groups could effectively distinguish the high- and low-risk EC groups. The expressions of immune checkpoints were different between high- and low-risk EC patients. CONCLUSION We first report the prognostic role of m6A regulators in EC, which should contribute to a better understanding of the underlying mechanisms of EC pathogenesis and progression.
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