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Massa D, Tosi A, Rosato A, Guarneri V, Dieci MV. Multiplexed In Situ Spatial Protein Profiling in the Pursuit of Precision Immuno-Oncology for Patients with Breast Cancer. Cancers (Basel) 2022; 14:4885. [PMID: 36230808 PMCID: PMC9562913 DOI: 10.3390/cancers14194885] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 09/29/2022] [Accepted: 10/04/2022] [Indexed: 11/16/2022] Open
Abstract
Immune checkpoint inhibitors (ICIs) have revolutionized the treatment of many solid tumors. In breast cancer (BC), immunotherapy is currently approved in combination with chemotherapy, albeit only in triple-negative breast cancer. Unfortunately, most patients only derive limited benefit from ICIs, progressing either upfront or after an initial response. Therapeutics must engage with a heterogeneous network of complex stromal-cancer interactions that can fail at imposing cancer immune control in multiple domains, such as in the genomic, epigenomic, transcriptomic, proteomic, and metabolomic domains. To overcome these types of heterogeneous resistance phenotypes, several combinatorial strategies are underway. Still, they can be predicted to be effective only in the subgroups of patients in which those specific resistance mechanisms are effectively in place. As single biomarker predictive performances are necessarily suboptimal at capturing the complexity of this articulate network, precision immune-oncology calls for multi-omics tumor microenvironment profiling in order to identify unique predictive patterns and to proactively tailor combinatorial treatments. Multiplexed single-cell spatially resolved tissue analysis, through precise epitope colocalization, allows one to infer cellular functional states in view of their spatial organization. In this review, we discuss-through the lens of the cancer-immunity cycle-selected, established, and emerging markers that may be evaluated in multiplexed spatial protein panels to help identify prognostic and predictive patterns in BC.
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Affiliation(s)
- Davide Massa
- Department of Surgery, Oncology and Gastroenterology, University of Padova, 35128 Padova, Italy
- Division of Oncology 2, Istituto Oncologico Veneto IRCCS, 35128 Padova, Italy
| | - Anna Tosi
- Immunology and Molecular Oncology Diagnostics, Istituto Oncologico Veneto IRCCS, 35128 Padova, Italy
| | - Antonio Rosato
- Department of Surgery, Oncology and Gastroenterology, University of Padova, 35128 Padova, Italy
- Immunology and Molecular Oncology Diagnostics, Istituto Oncologico Veneto IRCCS, 35128 Padova, Italy
| | - Valentina Guarneri
- Department of Surgery, Oncology and Gastroenterology, University of Padova, 35128 Padova, Italy
- Division of Oncology 2, Istituto Oncologico Veneto IRCCS, 35128 Padova, Italy
| | - Maria Vittoria Dieci
- Department of Surgery, Oncology and Gastroenterology, University of Padova, 35128 Padova, Italy
- Division of Oncology 2, Istituto Oncologico Veneto IRCCS, 35128 Padova, Italy
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Heterogeneity and Functions of Tumor-Infiltrating Antibody Secreting Cells: Lessons from Breast, Ovarian, and Other Solid Cancers. Cancers (Basel) 2022; 14:cancers14194800. [PMID: 36230721 PMCID: PMC9563085 DOI: 10.3390/cancers14194800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 09/26/2022] [Accepted: 09/27/2022] [Indexed: 11/17/2022] Open
Abstract
Simple Summary B cells are gaining increasing recognition as important contributors to the tumor microenvironment, influencing, positively or negatively, tumor growth, patient survival, and response to therapies. Antibody secreting cells (ASCs) constitute a variable fraction of tumor-infiltrating B cells in most solid tumors, and they produce tumor-specific antibodies that can drive distinct immune responses depending on their isotypes and specificities. In this review, we discuss the current knowledge of the heterogeneity of ASCs infiltrating solid tumors and how both their canonical and noncanonical functions shape antitumor immunity, with a special emphasis on breast and ovarian cancers. Abstract Neglected for a long time in cancer, B cells and ASCs have recently emerged as critical actors in the tumor microenvironment, with important roles in shaping the antitumor immune response. ASCs indeed exert a major influence on tumor growth, patient survival, and response to therapies. The mechanisms underlying their pro- vs. anti-tumor roles are beginning to be elucidated, revealing the contributions of their secreted antibodies as well as of their emerging noncanonical functions. Here, concentrating mostly on ovarian and breast cancers, we summarize the current knowledge on the heterogeneity of tumor-infiltrating ASCs, we discuss their possible local or systemic origin in relation to their immunoglobulin repertoire, and we review the different mechanisms by which antibody (Ab) subclasses and isoforms differentially impact tumor cells and anti-tumor immunity. We also discuss the emerging roles of cytokines and other immune modulators produced by ASCs in cancer. Finally, we propose strategies to manipulate the tumor ASC compartment to improve cancer therapies.
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Yaping W, Zhe W, Zhuling C, Ruolei L, Pengyu F, Lili G, Cheng J, Bo Z, Liuyin L, Guangdong H, Yaoling W, Niuniu H, Rui L. The soldiers needed to be awakened: Tumor-infiltrating immune cells. Front Genet 2022; 13:988703. [PMID: 36246629 PMCID: PMC9558824 DOI: 10.3389/fgene.2022.988703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 08/29/2022] [Indexed: 11/18/2022] Open
Abstract
In the tumor microenvironment, tumor-infiltrating immune cells (TIICs) are a key component. Different types of TIICs play distinct roles. CD8+ T cells and natural killer (NK) cells could secrete soluble factors to hinder tumor cell growth, whereas regulatory T cells (Tregs) and myeloid-derived suppressor cells (MDSCs) release inhibitory factors to promote tumor growth and progression. In the meantime, a growing body of evidence illustrates that the balance between pro- and anti-tumor responses of TIICs is associated with the prognosis in the tumor microenvironment. Therefore, in order to boost anti-tumor response and improve the clinical outcome of tumor patients, a variety of anti-tumor strategies for targeting TIICs based on their respective functions have been developed and obtained good treatment benefits, including mainly immune checkpoint blockade (ICB), adoptive cell therapies (ACT), chimeric antigen receptor (CAR) T cells, and various monoclonal antibodies. In recent years, the tumor-specific features of immune cells are further investigated by various methods, such as using single-cell RNA sequencing (scRNA-seq), and the results indicate that these cells have diverse phenotypes in different types of tumors and emerge inconsistent therapeutic responses. Hence, we concluded the recent advances in tumor-infiltrating immune cells, including functions, prognostic values, and various immunotherapy strategies for each immune cell in different tumors.
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Affiliation(s)
- Wang Yaping
- Department of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Wang Zhe
- Department of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Chu Zhuling
- Department of General Surgery, Eastern Theater Air Force Hospital of PLA, Nanjing, China
| | - Li Ruolei
- Department of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Fan Pengyu
- Department of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Guo Lili
- Department of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Ji Cheng
- Department of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Zhang Bo
- Department of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Liu Liuyin
- Department of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Hou Guangdong
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Wang Yaoling
- Department of Geriatrics, Union Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hou Niuniu
- Department of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
- Department of General Surgery, Eastern Theater Air Force Hospital of PLA, Nanjing, China
- *Correspondence: Hou Niuniu, ; Ling Rui,
| | - Ling Rui
- Department of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
- *Correspondence: Hou Niuniu, ; Ling Rui,
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Wall I, Boulat V, Shah A, Blenman KRM, Wu Y, Alberts E, Calado DP, Salgado R, Grigoriadis A. Leveraging the Dynamic Immune Environment Triad in Patients with Breast Cancer: Tumour, Lymph Node, and Peripheral Blood. Cancers (Basel) 2022; 14:4505. [PMID: 36139665 PMCID: PMC9496983 DOI: 10.3390/cancers14184505] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 09/09/2022] [Accepted: 09/12/2022] [Indexed: 11/29/2022] Open
Abstract
During the anti-tumour response to breast cancer, the primary tumour, the peripheral blood, and the lymph nodes each play unique roles. Immunological features at each site reveal evidence of continuous immune cross-talk between them before, during and after treatment. As such, immune responses to breast cancer are found to be highly dynamic and truly systemic, integrating three distinct immune sites, complex cell-migration highways, as well as the temporal dimension of disease progression and treatment. In this review, we provide a connective summary of the dynamic immune environment triad of breast cancer. It is critical that future studies seek to establish dynamic immune profiles, constituting multiple sites, that capture the systemic immune response to breast cancer and define patient-selection parameters resulting in more significant overall responses and survival rates for breast cancer patients.
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Affiliation(s)
- Isobelle Wall
- Cancer Bioinformatics, School of Cancer & Pharmaceutical Sciences, King’s College London, Guy’s Hospital, London SE1 9RT, UK
| | - Victoire Boulat
- Cancer Bioinformatics, School of Cancer & Pharmaceutical Sciences, King’s College London, Guy’s Hospital, London SE1 9RT, UK
- Immunity and Cancer Laboratory, The Francis Crick Institute, London NW1 1AT, UK
| | - Aekta Shah
- Cancer Bioinformatics, School of Cancer & Pharmaceutical Sciences, King’s College London, Guy’s Hospital, London SE1 9RT, UK
- Department of Pathology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai 400012, India
| | - Kim R. M. Blenman
- Department of Internal Medicine, Section of Medical Oncology, Yale School of Medicine, Yale University, New Haven, CT 06510, USA
- Department of Computer Science, School of Engineering and Applied Science, Yale University, New Haven, CT 06511, USA
| | - Yin Wu
- Breast Cancer Now Research Unit, School of Cancer & Pharmaceutical Sciences, King’s College London, Guy’s Hospital, London SE1 9RT, UK
- Peter Gorer Department of Immunobiology, School of Immunology & Microbial Sciences, King’s College London, London SE1 9RT, UK
- Centre for Inflammation Biology and Cancer Immunology, School of Immunology & Microbial Sciences, King’s College London, London SE1 9RT, UK
| | - Elena Alberts
- Cancer Bioinformatics, School of Cancer & Pharmaceutical Sciences, King’s College London, Guy’s Hospital, London SE1 9RT, UK
- Immunity and Cancer Laboratory, The Francis Crick Institute, London NW1 1AT, UK
| | - Dinis Pedro Calado
- Immunity and Cancer Laboratory, The Francis Crick Institute, London NW1 1AT, UK
| | - Roberto Salgado
- Department of Pathology, GZA-ZNA Hospitals, 2610 Antwerp, Belgium
- Division of Research, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia
| | - Anita Grigoriadis
- Cancer Bioinformatics, School of Cancer & Pharmaceutical Sciences, King’s College London, Guy’s Hospital, London SE1 9RT, UK
- Breast Cancer Now Research Unit, School of Cancer & Pharmaceutical Sciences, King’s College London, Guy’s Hospital, London SE1 9RT, UK
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Luo L, Wei Q, Xu C, Dong M, Zhao W. Immune landscape and risk prediction based on pyroptosis-related molecular subtypes in triple-negative breast cancer. Front Immunol 2022; 13:933703. [PMID: 36189269 PMCID: PMC9524227 DOI: 10.3389/fimmu.2022.933703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 09/12/2022] [Indexed: 11/30/2022] Open
Abstract
The survival outcome of triple-negative breast cancer (TNBC) remains poor, with difficulties still existing in prognosis assessment and patient stratification. Pyroptosis, a newly discovered form of programmed cell death, is involved in cancer pathogenesis and progression. The role of pyroptosis in the tumor microenvironment (TME) of TNBC has not been fully elucidated. In this study, we disclosed global alterations in 58 pyroptosis-related genes at somatic mutation and transcriptional levels in TNBC samples collected from The Cancer Genome Atlas and Gene Expression Omnibus databases. Based on the expression patterns of genes related to pyroptosis, we identified two molecular subtypes that harbored different TME characteristics and survival outcomes. Then, based on differentially expressed genes between two subtypes, we established a 12-gene score with robust efficacy in predicting short- and long-term overall survival of TNBC. Patients at low risk exhibited a significantly better prognosis, more antitumor immune cell infiltration, and higher expression of immune checkpoints including PD-1, PD-L1, CTLA-4, and LAG3. The comprehensive analysis of the immune landscape in TNBC indicated that alterations in pyroptosis-related genes were closely related to the formation of the immune microenvironment and the intensity of the anticancer response. The 12-gene score provided new information on the risk stratification and immunotherapy strategy for highly heterogeneous patients with TNBC.
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Intratumoral Niches of B Cells and Follicular Helper T Cells, and the Absence of Regulatory T Cells, Associate with Longer Survival in Early-Stage Oral Tongue Cancer Patients. Cancers (Basel) 2022; 14:cancers14174298. [PMID: 36077836 PMCID: PMC9454508 DOI: 10.3390/cancers14174298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/19/2022] [Accepted: 08/26/2022] [Indexed: 12/24/2022] Open
Abstract
In early oral squamous cell carcinoma (OSCC), the occurrence of clusters between CD20 B cells and CD4 T cells in the invasive margin (IM) can be captured by using the CD20 cluster score, and is positively associated with patient survival. However, the exact contribution of different CD4 T cell subsets, as well as B cell subsets toward patient prognosis is largely unknown. To this end, we studied regulatory T cells ((Treg cells) FOXP3 and CD4), T helper-type 1 cells ((Th1 cells) Tbet and CD4), follicular helper T cells ((Tfh cells) Bcl6 and CD4), B cells (CD20), germinal center B cells ((GC B cells) BCL6 and CD20), and follicular dendritic cells ((fDCs) CD21) for their density, location, and interspacing using multiplex in situ immunofluorescence of 75 treatment-naïve, primary OSCC patients. We observed that Treg, Th1-, Tfh-, and GC B cells, but not fDCs, were abundantly present in the stroma as compared with the tumor, and in the IM as compared with in the center of the tumor. Patients with high CD20 cluster scores had a high density of all three CD4 T cell subsets and GC B cells in the stromal IM as compared with patients with low CD20 cluster scores. Notably, enriched abundance of Tfh cells (HR 0.20, p = 0.04), and diminished abundance of Treg cells (HR 0.10, p = 0.03), together with an overall short distance between Tfh and B cells (HR:0.08, p < 0.01), but not between Treg and B cells (HR 0.43, p = 0.28), were significantly associated with overall survival of patients with OSCC. Our study identified the prognostic value of clusters between CD20 B cells and Tfh cells in the stromal IM of OSCC patients, and enabled an improved understanding of the clinical value of a high CD20 cluster score, which requires validation in larger clinical cohorts.
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Abstract
PURPOSE OF REVIEW Here, we reviewed the recent breakthroughs in the understanding of predictive biomarkers for immune checkpoint inhibitors (ICI) treatment. RECENT FINDINGS ICI have revolutionized cancer therapy enabling novel therapeutic indications in multiple tumor types and increasing the probability of survival in patients with metastatic disease. However, in every considered tumor types only a minority of patients exhibits clear and lasting benefice from ICI treatment, and due to their unique mechanism of action treatment with ICI is also associated with acute clinical toxicities called immune related adverse events (irAEs) that can be life threatening. The approval of the first ICI drug has prompted many exploratory strategies for a variety of biomarkers and have shown that several factors might affect the response to ICI treatment, including tumors intrinsic factors, tumor microenvironment and tumor extrinsic or systemic factor. Currently, only three biomarkers programmed death-ligand 1 (PD-L1), tumor microenvironment and microsatellite instability had the US Food and Drug Administration-approbation with some limitations. SUMMARY The establishment of valid predictive biomarkers of ICI sensitivity has become a priority to guide patient treatment to maximize the chance of benefit and prevent unnecessary toxicity.
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58
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Shi ZY, Zhang SX, Li CH, Fan D, Xue Y, Cheng ZH, Wu LX, Lu KY, Wu ZF, Li XF, Liu HY, Li SJ. Differential distribution and prognostic value of CD4+ T cell subsets before and after radioactive iodine therapy in differentiated thyroid cancer with varied curative outcomes. Front Immunol 2022; 13:966550. [PMID: 36091039 PMCID: PMC9459039 DOI: 10.3389/fimmu.2022.966550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Accepted: 08/11/2022] [Indexed: 12/24/2022] Open
Abstract
Differentiated thyroid cancer is the most frequently diagnosed endocrine tumor. While differentiated thyroid cancers often respond to initial treatment, little is known about the differences in circulating immune cells amongst patients who respond differently. A prospective study of 39 patients with differentiated thyroid cancer was conducted. Serum thyroglobulin levels and thyroid and immunological functions were tested before and after radioactive iodine treatment (RAIT). Efficacy assessments were performed 6 to 12 months after radioactive iodine treatment. Most patients showed an excellent response to radioactive iodine treatment. Before radioactive iodine treatment, the excellent response group had considerably fewer circulating CD4+ T cell subsets than the non-excellent response group. Both the excellent response and non-excellent response groups had considerably lower circulating CD4+ T lymphocyte subsets 30 days after radioactive iodine treatment, but those of the excellent response group were still lower than those of the non-excellent response group. All circulating CD4+ T cell subsets in the excellent response group rose by varying degrees by the 90th day, but only Treg cell amounts increased in the non-excellent response group. Interestingly, in the non-excellent response group, we noticed a steady drop in Th1 cells. However, the bulk of circulating CD4+ T cell subsets between the two groups did not differ appreciably by the 90th day. Finally, we discovered that CD4+ T cell subsets had strong predictive potential, and we thus developed high-predictive-performance models that deliver more dependable prognostic information. In conclusion, in individuals with differentiated thyroid cancer, there is great variation in circulating immune cells, resulting in distinct treatment outcomes. Low absolute CD4+ T cell counts is linked to improved clinical outcomes as well as stronger adaptive and resilience capacities.
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Affiliation(s)
- Zhi-Yong Shi
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Sheng-Xiao Zhang
- Department of Rheumatology, Second Hospital of Shanxi Medical University, Taiyuan, China
- Key laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, China
| | - Cai-Hong Li
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Di Fan
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yan Xue
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Zhe-Hao Cheng
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Li-Xiang Wu
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Ke-Yi Lu
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Zhi-Fang Wu
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Xiao-Feng Li
- Department of Rheumatology, Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Hai-Yan Liu
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- *Correspondence: Hai-Yan Liu, ; Si-Jin Li,
| | - Si-Jin Li
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Department of Rheumatology, Second Hospital of Shanxi Medical University, Taiyuan, China
- *Correspondence: Hai-Yan Liu, ; Si-Jin Li,
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Yu D, Walker LSK, Liu Z, Linterman MA, Li Z. Targeting T FH cells in human diseases and vaccination: rationale and practice. Nat Immunol 2022; 23:1157-1168. [PMID: 35817844 DOI: 10.1038/s41590-022-01253-8] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 05/24/2022] [Indexed: 12/13/2022]
Abstract
The identification of CD4+ T cells localizing to B cell follicles has revolutionized the knowledge of how humoral immunity is generated. Follicular helper T (TFH) cells support germinal center (GC) formation and regulate clonal selection and differentiation of memory and antibody-secreting B cells, thus controlling antibody affinity maturation and memory. TFH cells are essential in sustaining protective antibody responses necessary for pathogen clearance in infection and vaccine-mediated protection. Conversely, aberrant and excessive TFH cell responses mediate and sustain pathogenic antibodies to autoantigens, alloantigens, and allergens, facilitate lymphomagenesis, and even harbor viral reservoirs. TFH cell generation and function are determined by T cell antigen receptor (TCR), costimulation, and cytokine signals, together with specific metabolic and survival mechanisms. Such regulation is crucial to understanding disease pathogenesis and informing the development of emerging therapies for disease or novel approaches to boost vaccine efficacy.
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Affiliation(s)
- Di Yu
- The University of Queensland Diamantina Institute, Faculty of Medicine, The University of Queensland, Brisbane, Australia. .,Ian Frazer Centre for Children's Immunotherapy Research, Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia.
| | - Lucy S K Walker
- Institute of Immunity & Transplantation, Division of Infection & Immunity, University College London, Royal Free Campus, London, UK
| | - Zheng Liu
- Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | | | - Zhanguo Li
- Department of Rheumatology & Immunology, Peking University People's Hospital, Beijing, China
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Laumont CM, Banville AC, Gilardi M, Hollern DP, Nelson BH. Tumour-infiltrating B cells: immunological mechanisms, clinical impact and therapeutic opportunities. Nat Rev Cancer 2022; 22:414-430. [PMID: 35393541 PMCID: PMC9678336 DOI: 10.1038/s41568-022-00466-1] [Citation(s) in RCA: 131] [Impact Index Per Article: 65.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/03/2022] [Indexed: 01/03/2023]
Abstract
Although immunotherapy research to date has focused largely on T cells, there is mounting evidence that tumour-infiltrating B cells and plasma cells (collectively referred to as tumour-infiltrating B lymphocytes (TIL-Bs)) have a crucial, synergistic role in tumour control. In many cancers, TIL-Bs have demonstrated strong predictive and prognostic significance in the context of both standard treatments and immune checkpoint blockade, offering the prospect of new therapeutic opportunities that leverage their unique immunological properties. Drawing insights from autoimmunity, we review the molecular phenotypes, architectural contexts, antigen specificities, effector mechanisms and regulatory pathways relevant to TIL-Bs in human cancer. Although the field is young, the emerging picture is that TIL-Bs promote antitumour immunity through their unique mode of antigen presentation to T cells; their role in assembling and perpetuating immunologically 'hot' tumour microenvironments involving T cells, myeloid cells and natural killer cells; and their potential to combat immune editing and tumour heterogeneity through the easing of self-tolerance mechanisms. We end by discussing the most promising approaches to enhance TIL-B responses in concert with other immune cell subsets to extend the reach, potency and durability of cancer immunotherapy.
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Affiliation(s)
- Céline M Laumont
- Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Allyson C Banville
- Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada
- Interdisciplinary Oncology Program, University of British Columbia, Vancouver, British Columbia, Canada
| | - Mara Gilardi
- NOMIS Center for Immunobiology and Microbial Pathogenesis, Salk Institute, San Diego, CA, USA
| | - Daniel P Hollern
- NOMIS Center for Immunobiology and Microbial Pathogenesis, Salk Institute, San Diego, CA, USA
| | - Brad H Nelson
- Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada.
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.
- Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, Canada.
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Shi ZY, Zhang SX, Fan D, Li CH, Cheng ZH, Xue Y, Wu LX, Lu KY, Yang SY, Cheng Y, Wu ZF, Gao C, Li XF, Liu HY, Li SJ. Dynamic Immune Function Changes Before and After the First Radioactive Iodine Therapy After Total Resection of Differentiated Thyroid Carcinoma. Front Immunol 2022; 13:901263. [PMID: 35844520 PMCID: PMC9280633 DOI: 10.3389/fimmu.2022.901263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 05/30/2022] [Indexed: 12/02/2022] Open
Abstract
The effects of total thyroidectomy or radioactive iodine therapy on immune activation and suppression of the tumor microenvironment remain unknown. We aimed to investigate the effects of these treatments on the immune function in patients with differentiated thyroid carcinoma (DTC). Our cohort included 45 patients with DTC treated with total thyroidectomy and radioactive iodine therapy (RAIT). Immune function tests were performed by flow cytometry at 0, 30, and 90 days post-RAIT. Both the percentage and absolute number of circulating regulatory T cells were significantly lower in the postoperative DTC compared to the healthy controls. Notably, the absolute number of multiple lymphocyte subgroups significantly decreased at 30 days post-RAIT compared to those pre-RAIT. The absolute counts of these lymphocytes were recovered at 90 days post-RAIT, but not at pre-RAIT levels. Additionally, the Th17 cell percentage before RAIT was positively correlated with thyroglobulin (Tg) levels after RAIT. The tumor burden might contribute to increased levels of circulating Tregs. In conclusion, RAIT caused transient radiation damage in patients with DTC and the percentage of Th17 cells before RAIT could be a significant predictor of poor prognosis in patients with DTC.
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Affiliation(s)
- Zhi-Yong Shi
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Sheng-Xiao Zhang
- Department of Rheumatology, Second Hospital of Shanxi Medical University, Taiyuan, China
- Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, China
| | - Di Fan
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Cai-Hong Li
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Zhe-Hao Cheng
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yan Xue
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Li-Xiang Wu
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Ke-Yi Lu
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Su-Yun Yang
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yan Cheng
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Zhi-Fang Wu
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Chong Gao
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Xiao-Feng Li
- Department of Rheumatology, Second Hospital of Shanxi Medical University, Taiyuan, China
| | - Hai-Yan Liu
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- *Correspondence: Hai-Yan Liu, ; Si-Jin Li,
| | - Si-Jin Li
- Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Collaborative Innovation Center for Molecular Imaging of Precision Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
- Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, China
- *Correspondence: Hai-Yan Liu, ; Si-Jin Li,
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Jia W, Zhang T, Yao Q, Li J, Nie Y, Lei X, Mao Z, Wang Y, Shi W, Song W. Tertiary Lymphatic Structures in Primary Hepatic Carcinoma: Controversy Cannot Overshadow Hope. Front Immunol 2022; 13:870458. [PMID: 35844587 PMCID: PMC9278517 DOI: 10.3389/fimmu.2022.870458] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 05/30/2022] [Indexed: 11/13/2022] Open
Abstract
Tertiary lymphoid structures (TLSs) are organized aggregates of immune cells found in the tumor microenvironment. TLS can influence primary hepatic carcinoma (PHC) occurrence and have an active role in cancer. TLS can promote or inhibit the growth of PHC depending on their location, and although available findings are controversial, they suggest that TLS have a protective role in PHC tissues and a non-protective role in paracancerous tissues. In addition, the cellular composition of TLS can also influence the outcome of PHC. As an immunity marker, TLS can act as a marker of immunotherapy to predict its effect and help to identify patients who will respond well to immunotherapy. Modulation of TLS formation through the use of chemokines/cytokines, immunotherapy, or induction of high endothelial vein to interfere with tumor growth has been studied extensively in PHC and other cancers. In addition, new tools such as genetic interventions, cellular crosstalk, preoperative radiotherapy, and advances in materials science have been shown to influence the prognosis of malignant tumors by modulating TLS production. These can also be used to develop PHC treatment.
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Affiliation(s)
- Weili Jia
- Xi’an Medical University, Xi’an, China
- Department of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Tianchen Zhang
- Xi’an Medical University, Xi’an, China
- Department of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Qianyun Yao
- Department of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Jianhui Li
- Xi’an Medical University, Xi’an, China
- Department of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Ye Nie
- Xi’an Medical University, Xi’an, China
- Department of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Xinjun Lei
- Xi’an Medical University, Xi’an, China
- Department of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Zhenzhen Mao
- Xi’an Medical University, Xi’an, China
- Department of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Yanfang Wang
- Xi’an Medical University, Xi’an, China
- Department of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Wen Shi
- Xi’an Medical University, Xi’an, China
- Department of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Wenjie Song
- Department of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
- *Correspondence: Wenjie Song,
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63
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Gao H, Tian Q, Zhou Y, Zhu L, Lu Y, Ma Y, Feng J, Jiang Y, Wang B. 3D Collagen Fiber Concentration Regulates Treg Cell Infiltration in Triple Negative Breast Cancer. Front Immunol 2022; 13:904418. [PMID: 35774776 PMCID: PMC9237245 DOI: 10.3389/fimmu.2022.904418] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 05/19/2022] [Indexed: 12/20/2022] Open
Abstract
Background Triple negative breast cancer (TNBC) is characterized by poor prognosis and a lack of effective therapeutic agents owing to the absence of biomarkers. A high abundance of tumor-infiltrating regulatory T cells (Tregs) was associated with worse prognosis in malignant disease. Exploring the association between Treg cell infiltration and TNBC will provide new insights for understanding TNBC immunosuppression and may pave the way for developing novel immune-based treatments. Materials and Methods Patients from TCGA were divided into Treg-high (Treg-H) and Treg-low (Treg-L) groups based on the abundance of Tregs according to CIBERSORT analysis. The association between expression level of Tregs and the clinical characteristics as well as prognosis of breast cancer were evaluated. Next, a Treg-related prognostic model was established after survival-dependent univariate Cox and LASSO regression analysis, companied with an external GEO cohort validation. Then, GO, KEGG and GSEA analyses were performed between the Treg-H and Treg-L groups. Masson and Sirius red/Fast Green staining were applied for ECM characterization. Accordingly, Jurkat T cells were encapsulated in 3D collagen to mimic the ECM microenvironment, and the expression levels of CD4, FOXP3 and CD25 were quantified according to immunofluorescence staining. Results The expression level of Tregs is significantly associated with the clinical characteristics of breast cancer patients, and a high level of Treg cell expression indicates a poor prognosis in TNBC. To further evaluate this, a Treg-related prognostic model was established that accurately predicted outcomes in both TCGA training and GEO validation cohorts of TNBC patients. Subsequently, ECM-associated signaling pathways were identified between the Treg-H and Treg-L groups, indicating the role of ECM in Treg infiltration. Since we found increasing collagen concentrations in TNBC patients with distant migration, we encapsulated Jurkat T cells within a 3D matrix with different collagen concentrations and observed that increasing collagen concentrations promoted the expression of Treg biomarkers, supporting the regulatory role of ECM in Treg infiltration. Conclusion Our results support the association between Treg expression and breast cancer progression as well as prognosis in the TNBC subtype. Moreover, increasing collagen density may promote Treg infiltration, and thus induce an immunosuppressed TME.
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Affiliation(s)
- Huan Gao
- Department of Medical Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Qi Tian
- Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yan Zhou
- Department of Medical Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Lizhe Zhu
- Department of Breast Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yinliang Lu
- Department of Radiation Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yingying Ma
- Department of Medical Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Jinteng Feng
- Department of Medical Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yina Jiang
- Department of Pathology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Yina Jiang, ; Bo Wang,
| | - Bo Wang
- Center for Translational Medicine, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Yina Jiang, ; Bo Wang,
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Wang B, Liu J, Han Y, Deng Y, Li J, Jiang Y. The Presence of Tertiary Lymphoid Structures Provides New Insight Into the Clinicopathological Features and Prognosis of Patients With Breast Cancer. Front Immunol 2022; 13:868155. [PMID: 35664009 PMCID: PMC9161084 DOI: 10.3389/fimmu.2022.868155] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 04/19/2022] [Indexed: 02/05/2023] Open
Abstract
Background Tertiary lymphoid structures (TLSs) have been proven to be predictive biomarkers of favorable clinical outcomes and response to immunotherapies in several solid malignancies. Nevertheless, the effect of TLSs in patients with breast cancer (BC) remains controversial. The objective of the current study is to investigate the clinicopathological and prognostic significance of TLSs in BC. Given the unique difficulties for detecting and quantifying TLSs, a TLS-associated gene signature based on The Cancer Genome Atlas (TCGA) BC cohort was used to validate and supplement our results. Methods Electronic platforms (PubMed, Web of Science, EMBASE, the Cochrane Library, CNKI, and Wanfang) were searched systematically to identify relevant studies as of January 11, 2022. We calculated combined odds ratios (ORs) with 95% confidence intervals (CIs) to determine the relationship between clinicopathological parameters and TLSs. The pooled hazard ratios (HRs) and 95% CIs were also calculated to evaluate the prognostic significance of TLSs. The TLS signature based on the TCGA BC cohort was applied to validate and supplement our results. Results Fifteen studies with 3,898 patients were eligible for enrollment in our study. The combined analysis indicated that the presence of TLSs was related to improved disease-free survival (DFS) (HR = 0.61, 95% CI: 0.41-0.90, p < 0.05) and overall survival (OS) (HR = 1.66, 95% CI: 1.26-2.20, p < 0.001). Additionally, the presence of TLSs was positively correlated with early tumor TNM stage and high tumor-infiltrating lymphocytes. TLS presence was positively related to human epidermal growth factor receptor 2 (HER-2) and Ki-67 but inversely correlated with the status of estrogen and progesterone receptor. Simultaneously, our study found that tumor immune microenvironment was more favorable in the high-TLS signature group than in the low-TLS signature group. Consistently, BC patients in the high-TLS signature group exhibited better survival outcomes compared to those in the low-TLS signature group, suggesting that TLSs might be favorable prognostic biomarkers. Conclusions TLS presence provides new insight into the clinicopathological features and prognosis of patients with BC, whereas the factors discussed limited the evidence quality of this study. We look forward to consistent methods to define and characterize TLSs, and more high-quality prospective clinical trials designed to validate the value of TLSs alone or in combination with other markers.
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Affiliation(s)
- Bin Wang
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Jie Liu
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yin Han
- Department of Pathology, Chengdu Fifth People's Hospital, Chengdu, China
| | - Yaotiao Deng
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Jinze Li
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Yu Jiang
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
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Faccani C, Rotta G, Clemente F, Fedeli M, Abbati D, Manfredi F, Potenza A, Anselmo A, Pedica F, Fiorentini G, Villa C, Protti MP, Doglioni C, Aldrighetti L, Bonini C, Casorati G, Dellabona P, de Lalla C. Workflow for high-dimensional flow cytometry analysis of T cells from tumor metastases. Life Sci Alliance 2022; 5:5/10/e202101316. [PMID: 35724271 PMCID: PMC9166301 DOI: 10.26508/lsa.202101316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 05/24/2022] [Accepted: 05/25/2022] [Indexed: 11/24/2022] Open
Abstract
We describe a multi-step high-dimensional (HD) flow cytometry workflow for the deep phenotypic characterization of T cells infiltrating metastatic tumor lesions in the liver, particularly derived from colorectal cancer (CRC-LM). First, we applied a novel flow cytometer setting approach based on single positive cells rather than fluorescent beads, resulting in optimal sensitivity when compared with previously published protocols. Second, we set up a 26-color based antibody panel designed to assess the functional state of both conventional T-cell subsets and unconventional invariant natural killer T, mucosal associated invariant T, and gamma delta T (γδT)-cell populations, which are abundant in the liver. Third, the dissociation of the CRC-LM samples was accurately tuned to preserve both the viability and antigenic integrity of the stained cells. This combined procedure permitted the optimal capturing of the phenotypic complexity of T cells infiltrating CRC-LM. Hence, this study provides a robust tool for high-dimensional flow cytometry analysis of complex T-cell populations, which could be adapted to characterize other relevant pathological tissues.
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Affiliation(s)
- Cristina Faccani
- Experimental Immunology Unit, Ospedale San Raffaele Scientific Institute, Milan, Italy
- School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | | | - Francesca Clemente
- Tumor Immunology Unit, Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Maya Fedeli
- Experimental Immunology Unit, Ospedale San Raffaele Scientific Institute, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Danilo Abbati
- Experimental Hematology Unit, Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Francesco Manfredi
- Experimental Hematology Unit, Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Alessia Potenza
- Experimental Hematology Unit, Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Achille Anselmo
- Flow Cytometry Resource, Advanced Cytometry Technical Applications Laboratory (FRACTAL) Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Federica Pedica
- Department of Experimental Oncology, Pathology Unit, Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Guido Fiorentini
- Hepatobiliary Surgery, Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Chiara Villa
- Flow Cytometry Resource, Advanced Cytometry Technical Applications Laboratory (FRACTAL) Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Maria P Protti
- Tumor Immunology Unit, Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Claudio Doglioni
- Department of Experimental Oncology, Pathology Unit, Ospedale San Raffaele Scientific Institute, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Luca Aldrighetti
- Hepatobiliary Surgery, Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Chiara Bonini
- Experimental Hematology Unit, Ospedale San Raffaele Scientific Institute, Milan, Italy
- Università Vita-Salute San Raffaele, Milan, Italy
| | - Giulia Casorati
- Experimental Immunology Unit, Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Paolo Dellabona
- Experimental Immunology Unit, Ospedale San Raffaele Scientific Institute, Milan, Italy
| | - Claudia de Lalla
- Experimental Immunology Unit, Ospedale San Raffaele Scientific Institute, Milan, Italy
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Garaud S, Dieu-Nosjean MC, Willard-Gallo K. T follicular helper and B cell crosstalk in tertiary lymphoid structures and cancer immunotherapy. Nat Commun 2022; 13:2259. [PMID: 35473931 PMCID: PMC9043192 DOI: 10.1038/s41467-022-29753-z] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Accepted: 03/31/2022] [Indexed: 12/26/2022] Open
Affiliation(s)
- Soizic Garaud
- Molecular Immunology Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Marie-Caroline Dieu-Nosjean
- Sorbonne University UMRS1135, Inserm U1135, Laboratory "Immune microenvironment and immunotherapy", Centre d'Immunologie et des Maladies Infectieuses Paris (CIMI-Paris), Paris, France
| | - Karen Willard-Gallo
- Molecular Immunology Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium.
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Dissecting Tumor-Immune Microenvironment in Breast Cancer at a Spatial and Multiplex Resolution. Cancers (Basel) 2022; 14:cancers14081999. [PMID: 35454904 PMCID: PMC9026731 DOI: 10.3390/cancers14081999] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 04/09/2022] [Accepted: 04/12/2022] [Indexed: 02/01/2023] Open
Abstract
The tumor immune microenvironment (TIME) is an important player in breast cancer pathophysiology. Surrogates for antitumor immune response have been explored as predictive biomarkers to immunotherapy, though with several limitations. Immunohistochemistry for programmed death ligand 1 suffers from analytical problems, immune signatures are devoid of spatial information and histopathological evaluation of tumor infiltrating lymphocytes exhibits interobserver variability. Towards improved understanding of the complex interactions in TIME, several emerging multiplex in situ methods are being developed and gaining much attention for protein detection. They enable the simultaneous evaluation of multiple targets in situ, detection of cell densities/subpopulations as well as estimations of functional states of immune infiltrate. Furthermore, they can characterize spatial organization of TIME—by cell-to-cell interaction analyses and the evaluation of distribution within different regions of interest and tissue compartments—while digital imaging and image analysis software allow for reproducibility of the various assays. In this review, we aim to provide an overview of the different multiplex in situ methods used in cancer research with special focus on breast cancer TIME at the neoadjuvant, adjuvant and metastatic setting. Spatial heterogeneity of TIME and importance of longitudinal evaluation of TIME changes under the pressure of therapy and metastatic progression are also addressed.
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Locy H, Verhulst S, Cools W, Waelput W, Brock S, Cras L, Schiettecatte A, Jonckheere J, van Grunsven LA, Vanhoeij M, Thielemans K, Breckpot K. Assessing Tumor-Infiltrating Lymphocytes in Breast Cancer: A Proposal for Combining Immunohistochemistry and Gene Expression Analysis to Refine Scoring. Front Immunol 2022; 13:794175. [PMID: 35222378 PMCID: PMC8876933 DOI: 10.3389/fimmu.2022.794175] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 01/06/2022] [Indexed: 12/12/2022] Open
Abstract
Scoring of tumor-infiltrating lymphocytes (TILs) in breast cancer specimens has gained increasing attention, as TILs have prognostic and predictive value in HER2+ and triple-negative breast cancer. We evaluated the intra- and interrater variability when scoring TILs by visual inspection of hematoxylin and eosin-stained tissue sections. We further addressed whether immunohistochemical staining of these sections for immune cell surface markers CD45, CD3, CD4, and CD8 and combination with nanoString nCounter® gene expression analysis could refine TIL scoring. Formalin-fixed paraffin-embedded and fresh-frozen core needle biopsies of 12 female and treatment-naive breast cancer patients were included. Scoring of TILs was performed twice by three independent pathologists with a washout period of 3 days. Increasing intra- and interrater variability was observed with higher TIL numbers. The highest reproducibility was observed on tissue sections stained for CD3 and CD8. The latter TIL scores correlated well with the TIL scores obtained through nanoString nCounter® gene expression analysis. Gene expression analysis also revealed 104 and 62 genes that are positively and negatively related to both TIL scores. In conclusion, integration of immunohistochemistry and gene expression analysis is a valuable strategy to refine TIL scoring in breast tumors.
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Affiliation(s)
- Hanne Locy
- Laboratory for Molecular and Cellular Therapy, Department of Biomedical Sciences (BMWE), Vrije Universiteit Brussel (VUB), Brussels, Belgium
- *Correspondence: Hanne Locy, ; Karine Breckpot,
| | | | - Wilfried Cools
- Interfaculty Center Data processing and Statistics, VUB, Brussels, Belgium
| | - Wim Waelput
- Department of Anatomo-Pathology, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium
| | - Stefanie Brock
- Department of Anatomo-Pathology, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium
| | - Louise Cras
- Department of Anatomo-Pathology, Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium
| | | | | | | | | | - Kris Thielemans
- Laboratory for Molecular and Cellular Therapy, Department of Biomedical Sciences (BMWE), Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Karine Breckpot
- Laboratory for Molecular and Cellular Therapy, Department of Biomedical Sciences (BMWE), Vrije Universiteit Brussel (VUB), Brussels, Belgium
- *Correspondence: Hanne Locy, ; Karine Breckpot,
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69
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Potential Role of CXCL13/CXCR5 Signaling in Immune Checkpoint Inhibitor Treatment in Cancer. Cancers (Basel) 2022; 14:cancers14020294. [PMID: 35053457 PMCID: PMC8774093 DOI: 10.3390/cancers14020294] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 12/30/2021] [Accepted: 01/04/2022] [Indexed: 12/15/2022] Open
Abstract
Simple Summary Immunotherapy is currently the backbone of new drug treatments for many cancer patients. CXC chemokine ligand 13 (CXCL13) is an important factor involved in recruiting immune cells that express CXC chemokine receptor type 5 (CXCR5) in the tumor microenvironment and serves as a key molecular determinant of tertiary lymphoid structure (TLS) formation. An increasing number of studies have identified the influence of CXCL13 on prognosis in patients with cancer, regardless of the use of immunotherapy treatment. However, no comprehensive reviews of the role of CXCL13 in cancer immunotherapy have been published to date. This review aims to provide an overview of the CXCL13/CXCR5 signaling axis to summarize its mechanisms of action in cancer cells and lymphocytes, in addition to effects on immunity and cancer pathobiology, and its potential as a biomarker for the response to cancer immunotherapy. Abstract Immune checkpoint inhibitors (ICIs), including antibodies that target programmed cell death protein 1 (PD-1), programmed death-ligand 1 (PD-L1), or cytotoxic T lymphocyte antigen 4 (CTLA4), represent some of the most important breakthroughs in new drug development for oncology therapy from the past decade. CXC chemokine ligand 13 (CXCL13) exclusively binds CXC chemokine receptor type 5 (CXCR5), which plays a critical role in immune cell recruitment and activation and the regulation of the adaptive immune response. CXCL13 is a key molecular determinant of the formation of tertiary lymphoid structures (TLSs), which are organized aggregates of T, B, and dendritic cells that participate in the adaptive antitumor immune response. CXCL13 may also serve as a prognostic and predictive factor, and the role played by CXCL13 in some ICI-responsive tumor types has gained intense interest. This review discusses how CXCL13/CXCR5 signaling modulates cancer and immune cells to promote lymphocyte infiltration, activation by tumor antigens, and differentiation to increase the antitumor immune response. We also summarize recent preclinical and clinical evidence regarding the ICI-therapeutic implications of targeting the CXCL13/CXCR5 axis and discuss the potential role of this signaling pathway in cancer immunotherapy.
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Cui C, Wang J, Fagerberg E, Chen PM, Connolly KA, Damo M, Cheung JF, Mao T, Askari AS, Chen S, Fitzgerald B, Foster GG, Eisenbarth SC, Zhao H, Craft J, Joshi NS. Neoantigen-driven B cell and CD4 T follicular helper cell collaboration promotes anti-tumor CD8 T cell responses. Cell 2021; 184:6101-6118.e13. [PMID: 34852236 PMCID: PMC8671355 DOI: 10.1016/j.cell.2021.11.007] [Citation(s) in RCA: 188] [Impact Index Per Article: 62.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 07/21/2021] [Accepted: 11/05/2021] [Indexed: 12/31/2022]
Abstract
CD4 T follicular helper (TFH) cells support B cells, which are critical for germinal center (GC) formation, but the importance of TFH-B cell interactions in cancer is unclear. We found enrichment of TFH cell transcriptional signature correlates with GC B cell signature and with prolonged survival in individuals with lung adenocarcinoma (LUAD). We further developed a murine LUAD model in which tumor cells express B cell- and T cell-recognized neoantigens. Interactions between tumor-specific TFH and GC B cells, as well as interleukin (IL)-21 primarily produced by TFH cells, are necessary for tumor control and effector CD8 T cell function. Development of TFH cells requires B cells and B cell-recognized neoantigens. Thus, tumor neoantigens can regulate the fate of tumor-specific CD4 T cells by facilitating their interactions with tumor-specific B cells, which in turn promote anti-tumor immunity by enhancing CD8 T cell effector functions.
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Affiliation(s)
- Can Cui
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Jiawei Wang
- Program of Computational Biology and Bioinformatics, Yale University, New Haven, CT 06510, USA
| | - Eric Fagerberg
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Ping-Min Chen
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Kelli A Connolly
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Martina Damo
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Julie F Cheung
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Tianyang Mao
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Adnan S Askari
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Shuting Chen
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Brittany Fitzgerald
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Gena G Foster
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Stephanie C Eisenbarth
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520, USA; Department of Internal Medicine (Rheumatology, Allergy and Immunology), Yale University School of Medicine, New Haven, CT 06520, USA; Department of Lab Medicine, Yale University School of Medicine, New Haven, CT 06519, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale School of Public Health, New Haven, CT 06510, USA
| | - Joseph Craft
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520, USA; Department of Internal Medicine (Rheumatology, Allergy and Immunology), Yale University School of Medicine, New Haven, CT 06520, USA.
| | - Nikhil S Joshi
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520, USA.
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Chen S, Jin Z, Xin L, Lv L, Zhang X, Gong Y, Liu J. Expression and Clinical Significance of Origin Recognition Complex Subunit 6 in Breast Cancer – A Comprehensive Bioinformatics Analysis. Int J Gen Med 2021; 14:9733-9745. [PMID: 34934348 PMCID: PMC8684402 DOI: 10.2147/ijgm.s342597] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 11/18/2021] [Indexed: 11/23/2022] Open
Abstract
Objective We aimed to investigate the expression, diagnostic and prognostic values, and potential molecular mechanisms of the origin recognition complex (ORC) in breast cancer (BC). Methods Kaplan–Meier estimation was used to assess the prognostic value of ORC genes, and Oncomine, TCGA, GEO and ULCAN databases were used to analyze their expression in BC. Wilcoxon rank-sum tests were used to evaluate the relationship between ORC gene expression levels and BC clinicopathological features. Receiver operating characteristic (ROC) curves were used to assess the diagnostic value of ORC genes in BC. Survival analysis was performed using Kaplan–Meier estimation and Cox regression. A nomogram was constructed to predict 1-, 3-, and 5-year survival probabilities in BC. Gene set enrichment analysis (GSEA) and immune infiltration were used to investigate potential molecular mechanisms of the ORC. Results ORC1L and ORC6L were highly expressed in BC compared with healthy tissue, while ORC5L expression patterns were inconsistent; no significant differences in ORC2L, ORC3L or ORC4L expression were observed between BC and healthy tissues. ORC1L and ORC6L expression levels were significantly correlated with age, tumor (T) stage and molecular subtype; ORC5L expression was significantly correlated with age and number of nearby lymph nodes with cancer (N stage). ORC6L expression had the highest diagnostic value in BC and was an independent prognostic factor for poor overall survival (OS). ORC6L may be involved in cell cycle progression and may regulate cancer signaling pathways, including NF-κB, P53, and WNT, in BC. ORC6L expression was also associated with immune infiltration. Conclusion ORC1L and ORC6L are highly expressed in BC; ORC6L has a high diagnostic value and is an independent prognostic factor for poor OS. ORC6L may be involved in the initiation and progression of BC by regulating cell cycle progression, promoting cancer signaling pathway activation, and influencing tumor immune cell infiltration.
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Affiliation(s)
- Shaohua Chen
- Department of Breast Surgery, Guangxi Medical University Cancer Hospital, Nangning, People’s Republic of China
- Department of Breast and Thyroid Surgery, Affiliated Hospital of Guilin Medical University, Guilin, People’s Republic of China
| | - Ziyao Jin
- Department of Pathology, Affiliated Hospital of Guilin Medical University, Guilin, People’s Republic of China
| | - Linfeng Xin
- Clinical Medicine, Guilin Medical University, Guilin, People’s Republic of China
| | - Lv Lv
- Department of Breast and Thyroid Surgery, Affiliated Hospital of Guilin Medical University, Guilin, People’s Republic of China
| | - Xuemei Zhang
- Department of Pathology, Affiliated Hospital of Guilin Medical University, Guilin, People’s Republic of China
| | - Yizhen Gong
- Department of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nangning, People’s Republic of China
| | - Jianlun Liu
- Department of Breast Surgery, Guangxi Medical University Cancer Hospital, Nangning, People’s Republic of China
- Correspondence: Jianlun Liu Email
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Boisson A, Noël G, Saiselet M, Rodrigues-Vitória J, Thomas N, Fontsa ML, Sofronii D, Naveaux C, Duvillier H, Craciun L, Larsimont D, Awada A, Detours V, Willard-Gallo K, Garaud S. Fluorescent Multiplex Immunohistochemistry Coupled With Other State-Of-The-Art Techniques to Systematically Characterize the Tumor Immune Microenvironment. Front Mol Biosci 2021; 8:673042. [PMID: 34621785 PMCID: PMC8490683 DOI: 10.3389/fmolb.2021.673042] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 08/11/2021] [Indexed: 02/06/2023] Open
Abstract
Our expanding knowledge of the interactions between tumor cells and their microenvironment has helped to revolutionize cancer treatments, including the more recent development of immunotherapies. Immune cells are an important component of the tumor microenvironment that influence progression and treatment responses, particularly to the new immunotherapies. Technological advances that help to decipher the complexity and diversity of the tumor immune microenvironment (TIME) are increasingly used in translational research and biomarker studies. Current techniques that facilitate TIME evaluation include flow cytometry, multiplex bead-based immunoassays, chromogenic immunohistochemistry (IHC), fluorescent multiplex IHC, immunofluorescence, and spatial transcriptomics. This article offers an overview of our representative data, discusses the application of each approach to studies of the TIME, including their advantages and challenges, and reviews the potential clinical applications. Flow cytometry and chromogenic and fluorescent multiplex IHC were used to immune profile a HER2+ breast cancer, illustrating some points. Spatial transcriptomic analysis of a luminal B breast tumor demonstrated that important additional insight can be gained from this new technique. Finally, the development of a multiplex panel to identify proliferating B cells, Tfh, and Tfr cells on the same tissue section demonstrates their co-localization in tertiary lymphoid structures.
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Affiliation(s)
- Anaïs Boisson
- Molecular Immunology Unit, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Grégory Noël
- Molecular Immunology Unit, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | | | | | - Noémie Thomas
- Molecular Immunology Unit, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Mireille Langouo Fontsa
- Molecular Immunology Unit, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Doïna Sofronii
- Molecular Immunology Unit, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Céline Naveaux
- Molecular Immunology Unit, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Hugues Duvillier
- Flow Cytometry Facility, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Ligia Craciun
- Department of Pathology, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Denis Larsimont
- Department of Pathology, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Ahmad Awada
- Oncology Medicine Department, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | | | - Karen Willard-Gallo
- Molecular Immunology Unit, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Soizic Garaud
- Molecular Immunology Unit, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
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