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Wang Y, Li Q, Ding Y, Luo C, Yang J, Wang N, Jiang N, Yao T, Wang G, Shi G, Hou SX. Novel Arf1 Inhibitors Drive Cancer Stem Cell Aging and Potentiate Anti-Tumor Immunity. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2404442. [PMID: 39225354 DOI: 10.1002/advs.202404442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 07/01/2024] [Indexed: 09/04/2024]
Abstract
The small G protein Arf1 has been identified as playing a selective role in supporting cancer stem cells (CSCs), making it an attractive target for cancer therapy. However, the current Arf1 inhibitors have limited translational potential due to their high toxicity and low specificity. In this study, two new potent small-molecule inhibitors of Arf1, identified as DU101 and DU102, for cancer therapy are introduced. Preclinical tumor models demonstrate that these inhibitors triggered a cascade of aging in CSCs and enhance anti-tumor immunity in mouse cancer and PDX models. Through single-cell sequencing, the remodeling of the tumor immune microenvironment induced by these new Arf1 inhibitors is analyzed and an increase in tumor-associated CD8+ CD4+ double-positive T (DPT) cells is identified. These DPT cells exhibit superior features of active CD8 single-positive T cells and a higher percentage of TCF1+PD-1+, characteristic of stem-like T cells. The frequency of tumor-infiltrating stem-like DPT cells correlates with better disease-free survival (DFS) in cancer patients, indicating that these inhibitors may offer a novel cancer immunotherapy strategy by converting the cold tumor immune microenvironment into a hot one, thus expanding the potential for immunotherapy in cancer patients.
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Affiliation(s)
- Yuetong Wang
- Department of Cell and Developmental Biology at School of Life Sciences, State Key Laboratory of Genetic Engineering, Institute of Metabolism and Integrative Biology, Human Phenome Institute, Department of Liver Surgery and Transplantation of Liver Cancer Institute at Zhongshan Hospital, Fudan University, Shanghai, 200438, China
| | - Qiaoming Li
- Department of Cell and Developmental Biology at School of Life Sciences, State Key Laboratory of Genetic Engineering, Institute of Metabolism and Integrative Biology, Human Phenome Institute, Department of Liver Surgery and Transplantation of Liver Cancer Institute at Zhongshan Hospital, Fudan University, Shanghai, 200438, China
| | - Yahui Ding
- Department of Cell and Developmental Biology at School of Life Sciences, State Key Laboratory of Genetic Engineering, Institute of Metabolism and Integrative Biology, Human Phenome Institute, Department of Liver Surgery and Transplantation of Liver Cancer Institute at Zhongshan Hospital, Fudan University, Shanghai, 200438, China
| | - Chenfei Luo
- Department of Cell and Developmental Biology at School of Life Sciences, State Key Laboratory of Genetic Engineering, Institute of Metabolism and Integrative Biology, Human Phenome Institute, Department of Liver Surgery and Transplantation of Liver Cancer Institute at Zhongshan Hospital, Fudan University, Shanghai, 200438, China
| | - Jun Yang
- Department of Cell and Developmental Biology at School of Life Sciences, State Key Laboratory of Genetic Engineering, Institute of Metabolism and Integrative Biology, Human Phenome Institute, Department of Liver Surgery and Transplantation of Liver Cancer Institute at Zhongshan Hospital, Fudan University, Shanghai, 200438, China
| | - Na Wang
- Department of Cell and Developmental Biology at School of Life Sciences, State Key Laboratory of Genetic Engineering, Institute of Metabolism and Integrative Biology, Human Phenome Institute, Department of Liver Surgery and Transplantation of Liver Cancer Institute at Zhongshan Hospital, Fudan University, Shanghai, 200438, China
| | - Ning Jiang
- Department of Cell and Developmental Biology at School of Life Sciences, State Key Laboratory of Genetic Engineering, Institute of Metabolism and Integrative Biology, Human Phenome Institute, Department of Liver Surgery and Transplantation of Liver Cancer Institute at Zhongshan Hospital, Fudan University, Shanghai, 200438, China
| | - Tiange Yao
- Department of Cell and Developmental Biology at School of Life Sciences, State Key Laboratory of Genetic Engineering, Institute of Metabolism and Integrative Biology, Human Phenome Institute, Department of Liver Surgery and Transplantation of Liver Cancer Institute at Zhongshan Hospital, Fudan University, Shanghai, 200438, China
| | - Guohao Wang
- The Basic Research Laboratory, Center for Cancer Research, National Cancer Institute at Frederick, National Institutes of Health, Frederick, MD, 21702, USA
| | - Guoming Shi
- Department of Cell and Developmental Biology at School of Life Sciences, State Key Laboratory of Genetic Engineering, Institute of Metabolism and Integrative Biology, Human Phenome Institute, Department of Liver Surgery and Transplantation of Liver Cancer Institute at Zhongshan Hospital, Fudan University, Shanghai, 200438, China
| | - Steven X Hou
- Department of Cell and Developmental Biology at School of Life Sciences, State Key Laboratory of Genetic Engineering, Institute of Metabolism and Integrative Biology, Human Phenome Institute, Department of Liver Surgery and Transplantation of Liver Cancer Institute at Zhongshan Hospital, Fudan University, Shanghai, 200438, China
- Key Laboratory of Medical Epigenetics and Metabolism, Institute of Clinical Science of Zhongshan Hospital and Institutes of Biomedical Sciences, Fudan University, Shanghai, China
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Yosofvand M, Edmiston SN, Smithy JW, Peng X, Kostrzewa CE, Lin B, Ehrich F, Reiner A, Miedema J, Moy AP, Orlow I, Postow MA, Panageas K, Seshan VE, Callahan MK, Thomas NE, Shen R. Spatial Immunophenotyping from Whole-Slide Multiplexed Tissue Imaging Using Convolutional Neural Networks. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.16.608247. [PMID: 39229153 PMCID: PMC11370407 DOI: 10.1101/2024.08.16.608247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2024]
Abstract
The multiplexed immunofluorescence (mIF) platform enables biomarker discovery through the simultaneous detection of multiple markers on a single tissue slide, offering detailed insights into intratumor heterogeneity and the tumor-immune microenvironment at spatially resolved single cell resolution. However, current mIF image analyses are labor-intensive, requiring specialized pathology expertise which limits their scalability and clinical application. To address this challenge, we developed CellGate, a deep-learning (DL) computational pipeline that provides streamlined, end-to-end whole-slide mIF image analysis including nuclei detection, cell segmentation, cell classification, and combined immuno-phenotyping across stacked images. The model was trained on over 750,000 single cell images from 34 melanomas in a retrospective cohort of patients using whole tissue sections stained for CD3, CD8, CD68, CK-SOX10, PD-1, PD-L1, and FOXP3 with manual gating and extensive pathology review. When tested on new whole mIF slides, the model demonstrated high precision-recall AUC. Further validation on whole-slide mIF images of 9 primary melanomas from an independent cohort confirmed that CellGate can reproduce expert pathology analysis with high accuracy. We show that spatial immuno-phenotyping results using CellGate provide deep insights into the immune cell topography and differences in T cell functional states and interactions with tumor cells in patients with distinct histopathology and clinical characteristics. This pipeline offers a fully automated and parallelizable computing process with substantially improved consistency for cell type classification across images, potentially enabling high throughput whole-slide mIF tissue image analysis for large-scale clinical and research applications.
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Zhang C, Mo H, Li M, Wang S, Dou X, Zhang X. The effects of postoperative targeted immunotherapy on peripheral blood cytokines and immune cell profile in lung cancer patients. Front Oncol 2024; 14:1342624. [PMID: 38903721 PMCID: PMC11188683 DOI: 10.3389/fonc.2024.1342624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 05/02/2024] [Indexed: 06/22/2024] Open
Abstract
Objective Cytokines and cell subsets are important components of the tumor microenvironment. Previous research has revealed that there are differences in cytokines and cell subsets in the peripheral blood of lung cancer (LCA) patients before and after eradication. The purpose of this study is to explore the monitoring value of cytokines and cellular subpopulations as biomarkers in post-immunotherapy monitoring of patients with LCA after surgery. Methods We conducted a case-control study using double-antibody sandwich magnetic microsphere flow cytometry with immunofluorescence technology and fluorescent monoclonal antibody multiparameter flow cytometry to detect differences in peripheral blood cytokines and cell subsets between LCA patients after immunotherapy and healthy controls. Results Our research results show that there are differences in the levels of IL-4, IL-6, IL-10, IL-17, IFN-γ, TNF-α in the peripheral blood of LCA patients (n=70) after immunotherapy compared to the healthy controls (n=55) (P<0.05), and there are differences in 10 cell subgroups including DP T Cells, AT cells, and NLR in the peripheral blood compared to the healthy controls (n=35) (P<0.05). Further analysis revealed significant differences in the detection data of IL-6, IL-10, IFN-γ, CD56dim NK cells, Total B cells, Total NE cells, CD15+M cells, and NLR between LCA deceased patients (n=25) and LCA surviving patients (n=27) during the same period (P<0.05). The continuous monitoring of cytokines and cell subsets is far more valuable than a single-time test, as abnormal fluctuations in the data of cytokines and cell subsets are often associated with poor prognosis. In addition, IL-6 and NLR showed the strongest discriminative ability between postoperative immunotherapy-treated LCA patients and healthy controls, with AUC values of 0.840 and 0.822, respectively. There was a significant association between IFN-γ and distant metastasis in LCA (P<0.05), as well as between CD56dim NK cells and lymph node infiltration (P<0.05). Conclusion This research results support peripheral blood cytokines and cell subsets as biomarkers for monitoring the postoperative immune status and predicting the prognosis of LCA patients after immunotherapy. The continuous monitoring of cytokines and cell subsets is far more valuable than a single-time detection.
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Affiliation(s)
- Chuang Zhang
- School of Medicine, Anhui University of Science and Technology, Huainan, China
- Medical Laboratory of the Third Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Hongmei Mo
- Medical Laboratory of the Third Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Min Li
- Department of Laboratory Medicine, Clinical Medical College of Yangzhou University, Subei People’s Hospital of Jiangsu Province, Yangzhou, China
| | - Shuaiyan Wang
- Medical Laboratory of the Third Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Xiaowen Dou
- Medical Laboratory of the Third Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Xiuming Zhang
- School of Medicine, Anhui University of Science and Technology, Huainan, China
- Medical Laboratory of the Third Affiliated Hospital of Shenzhen University, Shenzhen, China
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Falcon DM, Byrne KA, Sales MA, Erf GF. Spontaneous immunological activities in the target tissue of vitiligo-prone Smyth and vitiligo-susceptible Brown lines of chicken. Front Immunol 2024; 15:1386727. [PMID: 38720888 PMCID: PMC11076693 DOI: 10.3389/fimmu.2024.1386727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 04/11/2024] [Indexed: 05/12/2024] Open
Abstract
Introduction Vitiligo is an acquired de-pigmentation disorder characterized by the post-natal loss of epidermal melanocytes (pigment-producing cells) resulting in the appearance of white patches in the skin. The Smyth chicken is the only model for vitiligo that shares all the characteristics of the human condition including: spontaneous post-natal loss of epidermal melanocytes, interactions between genetic, environmental and immunological factors, and associations with other autoimmune diseases. In addition, an avian model for vitiligo has the added benefit of an easily accessible target tissue (a growing feather) that allows for the repeated sampling of an individual and thus the continuous monitoring of local immune responses over time. Methods Using a combination of flow cytometry and gene expression analyses, we sought to gain a comprehensive understanding of the initiating events leading to expression of vitiligo in growing feathers by monitoring the infiltration of leukocytes and concurrent immunological activities in the target tissue beginning prior to visual onset and continuing throughout disease development. Results Here, we document a sequence of immunologically significant events, including characteristic rises in infiltrating B and αβ T cells as well as evidence of active leukocyte recruitment and cell-mediated immune activities (CCL19, IFNG, GZMA) leading up to visual vitiligo onset. Examination of growing feathers from vitiligo-susceptible Brown line chickens revealed anti-inflammatory immune activities which may be responsible for preventing vitiligo (IL10, CTLA4, FOXP3). Furthermore, we detected positive correlations between infiltrating T cells and changes in their T cell receptor diversity supporting a T cell-specific immune response. Conclusion Collectively, these results further support the notion of cell-mediated immune destruction of epidermal melanocytes in the pulp of growing feathers and open new avenues of study in the vitiligo-prone Smyth and vitiligo-susceptible Brown line chickens.
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Affiliation(s)
| | | | | | - Gisela F. Erf
- Division of Agriculture, Department of Poultry Science, University of Arkansas System, Fayetteville, AR, United States
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Khajavi L, Nguyen XH, Queriault C, Chabod M, Barateau L, Dauvilliers Y, Zytnicki M, Liblau R. The transcriptomics profiling of blood CD4 and CD8 T-cells in narcolepsy type I. Front Immunol 2023; 14:1249405. [PMID: 38077397 PMCID: PMC10702585 DOI: 10.3389/fimmu.2023.1249405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 10/24/2023] [Indexed: 12/18/2023] Open
Abstract
Background Narcolepsy Type I (NT1) is a rare, life-long sleep disorder arising as a consequence of the extensive destruction of orexin-producing hypothalamic neurons. The mechanisms involved in the destruction of orexin neurons are not yet elucidated but the association of narcolepsy with environmental triggers and genetic susceptibility (strong association with the HLA, TCRs and other immunologically-relevant loci) implicates an immuno-pathological process. Several studies in animal models and on human samples have suggested that T-cells are the main pathogenic culprits. Methods RNA sequencing was performed on four CD4 and CD8 T-cell subsets (naive, effector, effector memory and central memory) sorted by flow cytometry from peripheral blood mononuclear cells (PBMCs) of NT1 patients and HLA-matched healthy donors as well as (age- and sex-) matched individuals suffering from other sleep disorders (OSD). The RNAseq analysis was conducted by comparing the transcriptome of NT1 patients to that of healthy donors and other sleep disorder patients (collectively referred to as the non-narcolepsy controls) in order to identify NT1-specific genes and pathways. Results We determined NT1-specific differentially expressed genes, several of which are involved in tubulin arrangement found in CD4 (TBCB, CCT5, EML4, TPGS1, TPGS2) and CD8 (TTLL7) T cell subsets, which play a role in the immune synapse formation and TCR signaling. Furthermore, we identified genes (GZMB, LTB in CD4 T-cells and NLRP3, TRADD, IL6, CXCR1, FOXO3, FOXP3 in CD8 T-cells) and pathways involved in various aspects of inflammation and inflammatory response. More specifically, the inflammatory profile was identified in the "naive" subset of CD4 and CD8 T-cell. Conclusion We identified NT1-specific differentially expressed genes, providing a cell-type and subset specific catalog describing their functions in T-cells as well as their potential involvement in NT1. Several genes and pathways identified are involved in the formation of the immune synapse and TCR activation as well as inflammation and the inflammatory response. An inflammatory transcriptomic profile was detected in both "naive" CD4 and CD8 T-cell subsets suggesting their possible involvement in the development or progression of the narcoleptic process.
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Affiliation(s)
- Leila Khajavi
- Toulouse Institute for Infectious and Inflammatory Diseases (Infinity), University of Toulouse, Centre National de la Recherche Scientifique (CNRS), L'Institut National de la Sante et de la Recherche Medicale (INSERM), Universite Paul-Sabatier de Toulouse (UPS), Toulouse, France
- Applied Mathematics and Informatics Unit of Toulouse (MIAT), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE), Toulouse, France
| | - Xuan-Hung Nguyen
- Toulouse Institute for Infectious and Inflammatory Diseases (Infinity), University of Toulouse, Centre National de la Recherche Scientifique (CNRS), L'Institut National de la Sante et de la Recherche Medicale (INSERM), Universite Paul-Sabatier de Toulouse (UPS), Toulouse, France
- Vinmec Institute of Applied Science and Regenerative Medicine, Vinmec Healthcare System and College of Health Sciences, VinUniveristy, Hanoi, Vietnam
| | - Clémence Queriault
- Toulouse Institute for Infectious and Inflammatory Diseases (Infinity), University of Toulouse, Centre National de la Recherche Scientifique (CNRS), L'Institut National de la Sante et de la Recherche Medicale (INSERM), Universite Paul-Sabatier de Toulouse (UPS), Toulouse, France
| | - Marianne Chabod
- Toulouse Institute for Infectious and Inflammatory Diseases (Infinity), University of Toulouse, Centre National de la Recherche Scientifique (CNRS), L'Institut National de la Sante et de la Recherche Medicale (INSERM), Universite Paul-Sabatier de Toulouse (UPS), Toulouse, France
| | - Lucie Barateau
- National Reference Center for Orphan Diseases, Narcolepsy, Idiopathic Hypersomnia and Kleine-Levin Syndrome, Department of Neurology, Gui-de-Chauliac Hospital, Centre Hospitalier Universitaire (CHU) de Montpellier, Montpellier, France
- Institute for Neurosciences of Montpellier (INM), University Montpellier, Montpellier, France
| | - Yves Dauvilliers
- National Reference Center for Orphan Diseases, Narcolepsy, Idiopathic Hypersomnia and Kleine-Levin Syndrome, Department of Neurology, Gui-de-Chauliac Hospital, Centre Hospitalier Universitaire (CHU) de Montpellier, Montpellier, France
- Institute for Neurosciences of Montpellier (INM), University Montpellier, Montpellier, France
| | - Matthias Zytnicki
- Applied Mathematics and Informatics Unit of Toulouse (MIAT), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE), Toulouse, France
| | - Roland Liblau
- Toulouse Institute for Infectious and Inflammatory Diseases (Infinity), University of Toulouse, Centre National de la Recherche Scientifique (CNRS), L'Institut National de la Sante et de la Recherche Medicale (INSERM), Universite Paul-Sabatier de Toulouse (UPS), Toulouse, France
- Department of Immunology, Toulouse University Hospital, Toulouse, France
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Hagen M, Pangrazzi L, Rocamora-Reverte L, Weinberger B. Legend or Truth: Mature CD4 +CD8 + Double-Positive T Cells in the Periphery in Health and Disease. Biomedicines 2023; 11:2702. [PMID: 37893076 PMCID: PMC10603952 DOI: 10.3390/biomedicines11102702] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 09/29/2023] [Accepted: 10/03/2023] [Indexed: 10/29/2023] Open
Abstract
The expression of CD4 and CD8 co-receptors defines two distinct T cell populations with specialized functions. While CD4+ T cells support and modulate immune responses through different T-helper (Th) and regulatory subtypes, CD8+ T cells eliminate cells that might threaten the organism, for example, virus-infected or tumor cells. However, a paradoxical population of CD4+CD8+ double-positive (DP) T cells challenging this paradigm has been found in the peripheral blood. This subset has been observed in healthy as well as pathological conditions, suggesting unique and well-defined functions. Furthermore, DP T cells express activation markers and exhibit memory-like features, displaying an effector memory (EM) and central memory (CM) phenotype. A subset expressing high CD4 (CD4bright+) and intermediate CD8 (CD8dim+) levels and a population of CD8bright+CD4dim+ T cells have been identified within DP T cells, suggesting that this small subpopulation may be heterogeneous. This review summarizes the current literature on DP T cells in humans in health and diseases. In addition, we point out that strategies to better characterize this minor T cell subset's role in regulating immune responses are necessary.
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Affiliation(s)
- Magdalena Hagen
- Institute for Biomedical Aging Research, University of Innsbruck, 6020 Innsbruck, Austria
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Adamo A, Frusteri C, Pilotto S, Caligola S, Belluomini L, Poffe O, Giacobazzi L, Dusi S, Musiu C, Hu Y, Wang T, Rizzini D, Vella A, Canè S, Sartori G, Insolda J, Sposito M, Incani UC, Carbone C, Piro G, Pettinella F, Qi F, Wang D, Sartoris S, De Sanctis F, Scapini P, Dusi S, Cassatella MA, Bria E, Milella M, Bronte V, Ugel S. Immune checkpoint blockade therapy mitigates systemic inflammation and affects cellular FLIP-expressing monocytic myeloid-derived suppressor cells in non-progressor non-small cell lung cancer patients. Oncoimmunology 2023; 12:2253644. [PMID: 37720688 PMCID: PMC10503454 DOI: 10.1080/2162402x.2023.2253644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 08/10/2023] [Accepted: 08/26/2023] [Indexed: 09/19/2023] Open
Abstract
Cancer cells favor the generation of myeloid cells with immunosuppressive and inflammatory features, including myeloid-derived suppressor cells (MDSCs), which support tumor progression. The anti-apoptotic molecule, cellular FLICE (FADD-like interleukin-1β-converting enzyme)-inhibitory protein (c-FLIP), which acts as an important modulator of caspase-8, is required for the development and function of monocytic (M)-MDSCs. Here, we assessed the effect of immune checkpoint inhibitor (ICI) therapy on systemic immunological landscape, including FLIP-expressing MDSCs, in non-small cell lung cancer (NSCLC) patients. Longitudinal changes in peripheral immunological parameters were correlated with patients' outcome. In detail, 34 NSCLC patients were enrolled and classified as progressors (P) or non-progressors (NP), according to the RECIST evaluation. We demonstrated a reduction in pro-inflammatory cytokines such as IL-8, IL-6, and IL-1β in only NP patients after ICI treatment. Moreover, using t-distributed stochastic neighbor embedding (t-SNE) and cluster analysis, we characterized in NP patients a significant increase in the amount of lymphocytes and a slight contraction of myeloid cells such as neutrophils and monocytes. Despite this moderate ICI-associated alteration in myeloid cells, we identified a distinctive reduction of c-FLIP expression in M-MDSCs from NP patients concurrently with the first clinical evaluation (T1), even though NP and P patients showed the same level of expression at baseline (T0). In agreement with the c-FLIP expression, monocytes isolated from both P and NP patients displayed similar immunosuppressive functions at T0; however, this pro-tumor activity was negatively influenced at T1 in the NP patient cohort exclusively. Hence, ICI therapy can mitigate systemic inflammation and impair MDSC-dependent immunosuppression.
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Affiliation(s)
- Annalisa Adamo
- Immunology section, Department of Medicine University and Hospital Trust of Verona, Verona, Italy
| | - Cristina Frusteri
- Immunology section, Department of Medicine University and Hospital Trust of Verona, Verona, Italy
| | - Sara Pilotto
- Oncology section, Department of Engineering for Innovative Medicine and Hospital Trust of Verona, Verona, Italy
| | - Simone Caligola
- Veneto Institute of Oncology, Istituto di Ricovero e Cura a Carattere Scientifico (IOV-IRCCS), Padova, Italy
| | - Lorenzo Belluomini
- Oncology section, Department of Engineering for Innovative Medicine and Hospital Trust of Verona, Verona, Italy
| | - Ornella Poffe
- Immunology section, Department of Medicine University and Hospital Trust of Verona, Verona, Italy
| | - Luca Giacobazzi
- Immunology section, Department of Medicine University and Hospital Trust of Verona, Verona, Italy
| | - Silvia Dusi
- Veneto Institute of Oncology, Istituto di Ricovero e Cura a Carattere Scientifico (IOV-IRCCS), Padova, Italy
| | - Chiara Musiu
- Immunology section, Department of Medicine University and Hospital Trust of Verona, Verona, Italy
| | - Yushu Hu
- Immunology section, Department of Medicine University and Hospital Trust of Verona, Verona, Italy
| | - Tian Wang
- Immunology section, Department of Medicine University and Hospital Trust of Verona, Verona, Italy
| | - Davide Rizzini
- Immunology section, Department of Medicine University and Hospital Trust of Verona, Verona, Italy
| | - Antonio Vella
- Immunology section, Department of Medicine University and Hospital Trust of Verona, Verona, Italy
| | - Stefania Canè
- Veneto Institute of Oncology, Istituto di Ricovero e Cura a Carattere Scientifico (IOV-IRCCS), Padova, Italy
| | - Giulia Sartori
- Oncology section, Department of Engineering for Innovative Medicine and Hospital Trust of Verona, Verona, Italy
| | - Jessica Insolda
- Oncology section, Department of Engineering for Innovative Medicine and Hospital Trust of Verona, Verona, Italy
| | - Marco Sposito
- Oncology section, Department of Engineering for Innovative Medicine and Hospital Trust of Verona, Verona, Italy
| | - Ursula Cesta Incani
- Oncology section, Department of Engineering for Innovative Medicine and Hospital Trust of Verona, Verona, Italy
| | - Carmine Carbone
- Medical Oncology, Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Geny Piro
- Medical Oncology, Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Francesca Pettinella
- General Pathology section, Department of Medicine University of Verona, Verona, Italy
| | - Fang Qi
- Department of Burns and Plastic Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, P.R. China
| | - Dali Wang
- Department of Burns and Plastic Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, P.R. China
| | - Silvia Sartoris
- Immunology section, Department of Medicine University and Hospital Trust of Verona, Verona, Italy
| | - Francesco De Sanctis
- Immunology section, Department of Medicine University and Hospital Trust of Verona, Verona, Italy
| | - Patrizia Scapini
- General Pathology section, Department of Medicine University of Verona, Verona, Italy
| | - Stefano Dusi
- General Pathology section, Department of Medicine University of Verona, Verona, Italy
| | | | - Emilio Bria
- Veneto Institute of Oncology, Istituto di Ricovero e Cura a Carattere Scientifico (IOV-IRCCS), Padova, Italy
| | - Michele Milella
- Oncology section, Department of Engineering for Innovative Medicine and Hospital Trust of Verona, Verona, Italy
| | - Vincenzo Bronte
- Veneto Institute of Oncology, Istituto di Ricovero e Cura a Carattere Scientifico (IOV-IRCCS), Padova, Italy
| | - Stefano Ugel
- Immunology section, Department of Medicine University and Hospital Trust of Verona, Verona, Italy
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Peng X, Lee J, Adamow M, Maher C, Postow MA, Callahan MK, Panageas KS, Shen R. A topic modeling approach reveals the dynamic T cell composition of peripheral blood during cancer immunotherapy. CELL REPORTS METHODS 2023; 3:100546. [PMID: 37671017 PMCID: PMC10475788 DOI: 10.1016/j.crmeth.2023.100546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 02/15/2023] [Accepted: 07/10/2023] [Indexed: 09/07/2023]
Abstract
We present TopicFlow, a computational framework for flow cytometry data analysis of patient blood samples for the identification of functional and dynamic topics in circulating T cell population. This framework applies a Latent Dirichlet Allocation (LDA) model, adapting the concept of topic modeling in text mining to flow cytometry. To demonstrate the utility of our method, we conducted an analysis of ∼17 million T cells collected from 138 peripheral blood samples in 51 patients with melanoma undergoing treatment with immune checkpoint inhibitors (ICIs). Our study highlights three latent dynamic topics identified by LDA: a T cell exhaustion topic that independently recapitulates the previously identified LAG-3+ immunotype associated with ICI resistance, a naive topic and its association with immune-related toxicity, and a T cell activation topic that emerges upon ICI treatment. Our approach can be broadly applied to mine high-parameter flow cytometry data for insights into mechanisms of treatment response and toxicity.
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Affiliation(s)
- Xiyu Peng
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jasme Lee
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Matthew Adamow
- Immune Monitoring Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA 94129, USA
| | - Colleen Maher
- Parker Institute for Cancer Immunotherapy, San Francisco, CA 94129, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Michael A. Postow
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Weill Cornell Medical College, New York, NY 10065, USA
| | - Margaret K. Callahan
- Parker Institute for Cancer Immunotherapy, San Francisco, CA 94129, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Weill Cornell Medical College, New York, NY 10065, USA
| | - Katherine S. Panageas
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Ronglai Shen
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
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9
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Savino W, Lepletier A. Thymus-derived hormonal and cellular control of cancer. Front Endocrinol (Lausanne) 2023; 14:1168186. [PMID: 37529610 PMCID: PMC10389273 DOI: 10.3389/fendo.2023.1168186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 06/26/2023] [Indexed: 08/03/2023] Open
Abstract
The thymus gland is a central lymphoid organ in which developing T cell precursors, known as thymocytes, undergo differentiation into distinct type of mature T cells, ultimately migrating to the periphery where they exert specialized effector functions and orchestrate the immune responses against tumor cells, pathogens and self-antigens. The mechanisms supporting intrathymic T cell differentiation are pleiotropically regulated by thymic peptide hormones and cytokines produced by stromal cells in the thymic microenvironment and developing thymocytes. Interestingly, in the same way as T cells, thymic hormones (herein exemplified by thymosin, thymulin and thymopoietin), can circulate to impact immune cells and other cellular components in the periphery. Evidence on how thymic function influences tumor cell biology and response of patients with cancer to therapies remains unsatisfactory, although there has been some improvement in the knowledge provided by recent studies. Herein, we summarize research progression in the field of thymus-mediated immunoendocrine control of cancer, providing insights into how manipulation of the thymic microenvironment can influence treatment outcomes, including clinical responses and adverse effects of therapies. We review data obtained from clinical and preclinical cancer research to evidence the complexity of immunoendocrine interactions underpinning anti-tumor immunity.
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Affiliation(s)
- Wilson Savino
- Laboratory on Thymus Research, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
- Brazilian National Institute of Science and Technology on Neuroimmunomodulation, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
- Rio de Janeiro Research Network on Neuroinflammation, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
- INOVA-IOC Network on Neuroimmunomodulation, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | - Ailin Lepletier
- Institute for Glycomics, Griffith University, Gold Coast, QLD, Australia
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Dikiy S, Rudensky AY. Principles of regulatory T cell function. Immunity 2023; 56:240-255. [PMID: 36792571 DOI: 10.1016/j.immuni.2023.01.004] [Citation(s) in RCA: 72] [Impact Index Per Article: 72.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 01/06/2023] [Accepted: 01/09/2023] [Indexed: 02/16/2023]
Abstract
Regulatory T (Treg) cells represent a distinct lineage of cells of the adaptive immune system indispensable for forestalling fatal autoimmune and inflammatory pathologies. The role of Treg cells as principal guardians of the immune system can be attributed to their ability to restrain all currently recognized major types of inflammatory responses through modulating the activity of a wide range of cells of the innate and adaptive immune system. This broad purview over immunity and inflammation is afforded by the multiple modes of action Treg cells exert upon their diverse molecular and cellular targets. Beyond the suppression of autoimmunity for which they were originally recognized, Treg cells have been implicated in tissue maintenance, repair, and regeneration under physiologic and pathologic conditions. Herein, we discuss the current and emerging understanding of Treg cell effector mechanisms in the context of the basic properties of Treg cells that endow them with such functional versatility.
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Affiliation(s)
- Stanislav Dikiy
- Howard Hughes Medical Institute and Immunology Program, Sloan Kettering Institute, Ludwig Center at Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Immunology and Microbial Pathogenesis Program, Weill Cornell Graduate School of Medical Sciences, New York, NY 10021, USA.
| | - Alexander Y Rudensky
- Howard Hughes Medical Institute and Immunology Program, Sloan Kettering Institute, Ludwig Center at Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
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11
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Blomberg OS, Kos K, Spagnuolo L, Isaeva OI, Garner H, Wellenstein MD, Bakker N, Duits DE, Kersten K, Klarenbeek S, Hau CS, Kaldenbach D, Raeven EA, Vrijland K, Kok M, de Visser KE. Neoadjuvant immune checkpoint blockade triggers persistent and systemic T reg activation which blunts therapeutic efficacy against metastatic spread of breast tumors. Oncoimmunology 2023; 12:2201147. [PMID: 37089449 PMCID: PMC10114978 DOI: 10.1080/2162402x.2023.2201147] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2023] Open
Abstract
The clinical successes of immune checkpoint blockade (ICB) in advanced cancer patients have recently spurred the clinical implementation of ICB in the neoadjuvant and perioperative setting. However, how neoadjuvant ICB therapy affects the systemic immune landscape and metastatic spread remains to be established. Tumors promote both local and systemic expansion of regulatory T cells (Tregs), which are key orchestrators of tumor-induced immunosuppression, contributing to immune evasion, tumor progression and metastasis. Tregs express inhibitory immune checkpoint molecules and thus may be unintended targets for ICB therapy counteracting its efficacy. Using ICB-refractory models of spontaneous primary and metastatic breast cancer that recapitulate the poor ICB response of breast cancer patients, we observed that combined anti-PD-1 and anti-CTLA-4 therapy inadvertently promotes proliferation and activation of Tregs in the tumor, tumor-draining lymph node and circulation. Also in breast cancer patients, Treg levels were elevated upon ICB. Depletion of Tregs during neoadjuvant ICB in tumor-bearing mice not only reshaped the intratumoral immune landscape into a state favorable for ICB response but also induced profound and persistent alterations in systemic immunity, characterized by elevated CD8+ T cells and NK cells and durable T cell activation that was maintained after treatment cessation. While depletion of Tregs in combination with neoadjuvant ICB did not inhibit primary tumor growth, it prolonged metastasis-related survival driven predominantly by CD8+ T cells. This study demonstrates that neoadjuvant ICB therapy of breast cancer can be empowered by simultaneous targeting of Tregs, extending metastasis-related survival, independent of a primary tumor response.
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Affiliation(s)
- Olga S. Blomberg
- Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Kevin Kos
- Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Lorenzo Spagnuolo
- Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Olga I. Isaeva
- Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Hannah Garner
- Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Max D. Wellenstein
- Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Noor Bakker
- Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Danique E.M. Duits
- Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Kelly Kersten
- Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Sjoerd Klarenbeek
- Experimental Animal Pathology Facility, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Cheei-Sing Hau
- Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Daphne Kaldenbach
- Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Elisabeth A.M. Raeven
- Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Kim Vrijland
- Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Marleen Kok
- Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Karin E. de Visser
- Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
- CONTACT Karin E. de Visser Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam1066 CX, The Netherlands
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