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Chatterjee S, Leach ST, Lui K, Mishra A. Symbiotic symphony: Understanding host-microbiota dialogues in a spatial context. Semin Cell Dev Biol 2024; 161-162:22-30. [PMID: 38564842 DOI: 10.1016/j.semcdb.2024.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 02/23/2024] [Accepted: 03/20/2024] [Indexed: 04/04/2024]
Abstract
Modern precision sequencing techniques have established humans as a holobiont that live in symbiosis with the microbiome. Microbes play an active role throughout the life of a human ranging from metabolism and immunity to disease tolerance. Hence, it is of utmost significance to study the eukaryotic host in conjunction with the microbial antigens to obtain a complete picture of the host-microbiome crosstalk. Previous attempts at profiling host-microbiome interactions have been either superficial or been attempted to catalogue eukaryotic transcriptomic profile and microbial communities in isolation. Additionally, the nature of such immune-microbial interactions is not random but spatially organised. Hence, for a holistic clinical understanding of the interplay between hosts and microbiota, it's imperative to concurrently analyze both microbial and host genetic information, ensuring the preservation of their spatial integrity. Capturing these interactions as a snapshot in time at their site of action has the potential to transform our understanding of how microbes impact human health. In examining early-life microbial impacts, the limited presence of communities compels analysis within reduced biomass frameworks. However, with the advent of spatial transcriptomics we can address this challenge and expand our horizons of understanding these interactions in detail. In the long run, simultaneous spatial profiling of host-microbiome dialogues can have enormous clinical implications especially in gaining mechanistic insights into the disease prognosis of localised infections and inflammation. This review addresses the lacunae in host-microbiome research and highlights the importance of profiling them together to map their interactions while preserving their spatial context.
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Affiliation(s)
- Soumi Chatterjee
- Telethon Kids Institute, Perth Children Hospital, Perth, Western Australia 6009, Australia; Curtin Medical School, Curtin University, Perth, Western Australia 6102, Australia
| | - Steven T Leach
- Discipline Paediatrics, School of Clinical Medicine, University of New South Wales, Sydney 2052, Australia
| | - Kei Lui
- Department of Newborn Care, Royal Hospital for Women and Discipline of Paediatrics and Child Health, School of Clinical Medicine, Faculty of Medicine, University of New South Wales, Sydney 2052, Australia
| | - Archita Mishra
- Telethon Kids Institute, Perth Children Hospital, Perth, Western Australia 6009, Australia; Curtin Medical School, Curtin University, Perth, Western Australia 6102, Australia.
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2
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Ali FEM, Ibrahim IM, Althagafy HS, Hassanein EHM. Role of immunotherapies and stem cell therapy in the management of liver cancer: A comprehensive review. Int Immunopharmacol 2024; 132:112011. [PMID: 38581991 DOI: 10.1016/j.intimp.2024.112011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 04/01/2024] [Accepted: 04/02/2024] [Indexed: 04/08/2024]
Abstract
Liver cancer (LC) is the sixth most common disease and the third most common cause of cancer-related mortality. The WHO predicts that more than 1 million deaths will occur from LC by 2030. Hepatocellular carcinoma (HCC) is a common form of primary LC. Today, the management of LC involves multiple disciplines, and multimodal therapy is typically selected on an individual basis, considering the intricate interactions between the patient's overall health, the stage of the tumor, and the degree of underlying liver disease. Currently, the treatment of cancers, including LC, has undergone a paradigm shift in the last ten years because of immuno-oncology. To treat HCC, immune therapy approaches have been developed to enhance or cause the body's natural immune response to specifically target tumor cells. In this context, immune checkpoint pathway inhibitors, engineered cytokines, adoptive cell therapy, immune cells modified with chimeric antigen receptors, and therapeutic cancer vaccines have advanced to clinical trials and offered new hope to cancer patients. The outcomes of these treatments are encouraging. Additionally, treatment using stem cells is a new approach for restoring deteriorated tissues because of their strong differentiation potential and capacity to release cytokines that encourage cell division and the formation of blood vessels. Although there is no proof that stem cell therapy works for many types of cancer, preclinical research on stem cells has shown promise in treating HCC. This review provides a recent update regarding the impact of immunotherapy and stem cells in HCC and promising outcomes.
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Affiliation(s)
- Fares E M Ali
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Al-Azhar University, Assiut, 71524, Egypt; Michael Sayegh, Faculty of Pharmacy, Aqaba University of Technology, Aqaba 77110, Jordan.
| | - Islam M Ibrahim
- Faculty of Pharmacy, Al-Azhar University, Assiut Branch, Assiut, 71524, Egypt
| | - Hanan S Althagafy
- Department of Biochemistry, Faculty of Science, University of Jeddah, Jeddah, Saudi Arabia
| | - Emad H M Hassanein
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Al-Azhar University, Assiut, 71524, Egypt
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3
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Zhang X, Wang H, Sun C. BiSpec Pairwise AI: guiding the selection of bispecific antibody target combinations with pairwise learning and GPT augmentation. J Cancer Res Clin Oncol 2024; 150:237. [PMID: 38713378 DOI: 10.1007/s00432-024-05740-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Accepted: 04/03/2024] [Indexed: 05/08/2024]
Abstract
PURPOSE Bispecific antibodies (BsAbs), capable of targeting two antigens simultaneously, represent a significant advancement by employing dual mechanisms of action for tumor suppression. However, how to pair targets to develop effective and safe bispecific drugs is a major challenge for pharmaceutical companies. METHODS Using machine learning models, we refined the biological characteristics of currently approved or in clinical development BsAbs and analyzed hundreds of membrane proteins as bispecific targets to predict the likelihood of successful drug development for various target combinations. Moreover, to enhance the interpretability of prediction results in bispecific target combination, we combined machine learning models with Large Language Models (LLMs). Through a Retrieval-Augmented Generation (RAG) approach, we supplement each pair of bispecific targets' machine learning prediction with important features and rationales, generating interpretable analytical reports. RESULTS In this study, the XGBoost model with pairwise learning was employed to predict the druggability of BsAbs. By analyzing extensive data on BsAbs and designing features from perspectives such as target activity, safety, cell type specificity, pathway mechanism, and gene embedding representation, our model is able to predict target combinations of BsAbs with high market potential. Specifically, we integrated XGBoost with the GPT model to discuss the efficacy of each bispecific target pair, thereby aiding the decision-making for drug developers. CONCLUSION The novelty of this study lies in the integration of machine learning and GPT techniques to provide a novel framework for the design of BsAbs drugs. This holistic approach not only improves prediction accuracy, but also enhances the interpretability and innovativeness of drug design.
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Affiliation(s)
- Xin Zhang
- Beijing Engineering Research Center of Protein and Antibody, Sinocelltech Ltd., Beijing, 100176, China
- School of Medicine, Nankai University, Tianjin, 300071, China
| | - Huiyu Wang
- Beijing Engineering Research Center of Protein and Antibody, Sinocelltech Ltd., Beijing, 100176, China
| | - Chunyun Sun
- Beijing Engineering Research Center of Protein and Antibody, Sinocelltech Ltd., Beijing, 100176, China.
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4
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Bharadwaj S, Groza Y, Mierzwicka JM, Malý P. Current understanding on TREM-2 molecular biology and physiopathological functions. Int Immunopharmacol 2024; 134:112042. [PMID: 38703564 DOI: 10.1016/j.intimp.2024.112042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 04/05/2024] [Accepted: 04/05/2024] [Indexed: 05/06/2024]
Abstract
Triggering receptor expressed on myeloid cells 2 (TREM-2), a glycosylated receptor belonging to the immunoglobin superfamily and especially expressed in the myeloid cell lineage, is frequently explained as a reminiscent receptor for both adaptive and innate immunity regulation. TREM-2 is also acknowledged to influence NK cell differentiation via the PI3K and PLCγ signaling pathways, as well as the partial activation or direct inhibition of T cells. Additionally, TREM-2 overexpression is substantially linked to cell-specific functions, such as enhanced phagocytosis, reduced toll-like receptor (TLR)-mediated inflammatory cytokine production, increased transcription of anti-inflammatory cytokines, and reshaped T cell function. Whereas TREM-2-deficient cells exhibit diminished phagocytic function and enhanced proinflammatory cytokines production, proceeding to inflammatory injuries and an immunosuppressive environment for disease progression. Despite the growing literature supporting TREM-2+ cells in various diseases, such as neurodegenerative disorders and cancer, substantial facets of TREM-2-mediated signaling remain inadequately understood relevant to pathophysiology conditions. In this direction, herein, we have summarized the current knowledge on TREM-2 biology and cell-specific TREM-2 expression, particularly in the modulation of pivotal TREM-2-dependent functions under physiopathological conditions. Furthermore, molecular regulation and generic biological relevance of TREM-2 are also discussed, which might provide an alternative approach for preventing or reducing TREM-2-associated deformities. At last, we discussed the TREM-2 function in supporting an immunosuppressive cancer environment and as a potential drug target for cancer immunotherapy. Hence, summarized knowledge of TREM-2 might provide a window to overcome challenges in clinically effective therapies for TREM-2-induced diseases in humans.
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Affiliation(s)
- Shiv Bharadwaj
- Laboratory of Ligand Engineering, Institute of Biotechnology of the Czech Academy of Sciences, BIOCEV Research Center, Průmyslová 595, 252 50 Vestec, Czech Republic.
| | - Yaroslava Groza
- Laboratory of Ligand Engineering, Institute of Biotechnology of the Czech Academy of Sciences, BIOCEV Research Center, Průmyslová 595, 252 50 Vestec, Czech Republic
| | - Joanna M Mierzwicka
- Laboratory of Ligand Engineering, Institute of Biotechnology of the Czech Academy of Sciences, BIOCEV Research Center, Průmyslová 595, 252 50 Vestec, Czech Republic
| | - Petr Malý
- Laboratory of Ligand Engineering, Institute of Biotechnology of the Czech Academy of Sciences, BIOCEV Research Center, Průmyslová 595, 252 50 Vestec, Czech Republic.
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Andrews TS, Nakib D, Perciani CT, Ma XZ, Liu L, Winter E, Camat D, Chung SW, Lumanto P, Manuel J, Mangroo S, Hansen B, Arpinder B, Thoeni C, Sayed B, Feld J, Gehring A, Gulamhusein A, Hirschfield GM, Ricciuto A, Bader GD, McGilvray ID, MacParland S. Single-cell, single-nucleus, and spatial transcriptomics characterization of the immunological landscape in the healthy and PSC human liver. J Hepatol 2024; 80:730-743. [PMID: 38199298 DOI: 10.1016/j.jhep.2023.12.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 12/13/2023] [Accepted: 12/20/2023] [Indexed: 01/12/2024]
Abstract
BACKGROUND & AIMS Primary sclerosing cholangitis (PSC) is an immune-mediated cholestatic liver disease for which there is an unmet need to understand the cellular composition of the affected liver and how it underlies disease pathogenesis. We aimed to generate a comprehensive atlas of the PSC liver using multi-omic modalities and protein-based functional validation. METHODS We employed single-cell and single-nucleus RNA sequencing (47,156 cells and 23,000 nuclei) and spatial transcriptomics (one sample by 10x Visium and five samples with Nanostring GeoMx DSP) to profile the cellular ecosystem in 10 PSC livers. Transcriptomic profiles were compared to 24 neurologically deceased donor livers (107,542 cells) and spatial transcriptomics controls, as well as 18,240 cells and 20,202 nuclei from three PBC livers. Flow cytometry was performed to validate PSC-specific differences in immune cell phenotype and function. RESULTS PSC explants with parenchymal cirrhosis and prominent periductal fibrosis contained a population of cholangiocyte-like hepatocytes that were surrounded by diverse immune cell populations. PSC-associated biliary, mesenchymal, and endothelial populations expressed chemokine and cytokine transcripts involved in immune cell recruitment. Additionally, expanded CD4+ T cells and recruited myeloid populations in the PSC liver expressed the corresponding receptors to these chemokines and cytokines, suggesting potential recruitment. Tissue-resident macrophages, by contrast, were reduced in number and exhibited a dysfunctional and downregulated inflammatory response to lipopolysaccharide and interferon-γ stimulation. CONCLUSIONS We present a comprehensive atlas of the PSC liver and demonstrate an exhaustion-like phenotype of myeloid cells and markers of chronic cytokine expression in late-stage PSC lesions. This atlas expands our understanding of the cellular complexity of PSC and has potential to guide the development of novel treatments. IMPACT AND IMPLICATIONS Primary sclerosing cholangitis (PSC) is a rare liver disease characterized by chronic inflammation and irreparable damage to the bile ducts, which eventually results in liver failure. Due to a limited understanding of the underlying pathogenesis of disease, treatment options are limited. To address this, we sequenced healthy and diseased livers to compare the activity, interactions, and localization of immune and non-immune cells. This revealed that hepatocytes lining PSC scar regions co-express cholangiocyte markers, whereas immune cells infiltrate the scar lesions. Of these cells, macrophages, which typically contribute to tissue repair, were enriched in immunoregulatory genes and demonstrated a lack of responsiveness to stimulation. These cells may be involved in maintaining hepatic inflammation and could be a target for novel therapies.
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Affiliation(s)
- Tallulah S Andrews
- Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, M5G 2C4, Canada; Department of Biochemistry, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, N6A 5C1, Canada; Department of Computer Science, University of Western Ontario, London, ON, N6A 3K7, Canada.
| | - Diana Nakib
- Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, M5G 2C4, Canada; Department of Immunology, University of Toronto, Toronto, ON, M5S 1A8, Canada.
| | - Catia T Perciani
- Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, M5G 2C4, Canada; Department of Immunology, University of Toronto, Toronto, ON, M5S 1A8, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, M5G 1L7, Canada
| | - Xue Zhong Ma
- Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, M5G 2C4, Canada
| | - Lewis Liu
- Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, M5G 2C4, Canada; Department of Immunology, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Erin Winter
- Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, M5G 2C4, Canada
| | - Damra Camat
- Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, M5G 2C4, Canada; Department of Immunology, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Sai W Chung
- Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, M5G 2C4, Canada; Department of Immunology, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Patricia Lumanto
- Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, M5G 2C4, Canada; Department of Immunology, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Justin Manuel
- Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, M5G 2C4, Canada
| | - Shantel Mangroo
- Division of Gastroenterology, Hepatology and Nutrition, The Hospital for Sick Children, Toronto, ON, M5G 1X8, Canada
| | - Bettina Hansen
- Toronto Centre for Liver Disease, University Health Network, Toronto, ON, M5G 2C4, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, M5T 3M6, Canada
| | - Bal Arpinder
- Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, M5G 2C4, Canada
| | - Cornelia Thoeni
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, M5G 1L7, Canada
| | - Blayne Sayed
- Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, M5G 2C4, Canada
| | - Jordan Feld
- Toronto Centre for Liver Disease, University Health Network, Toronto, ON, M5G 2C4, Canada
| | - Adam Gehring
- Department of Immunology, University of Toronto, Toronto, ON, M5S 1A8, Canada; Toronto Centre for Liver Disease, University Health Network, Toronto, ON, M5G 2C4, Canada
| | - Aliya Gulamhusein
- Toronto Centre for Liver Disease, University Health Network, Toronto, ON, M5G 2C4, Canada
| | - Gideon M Hirschfield
- Toronto Centre for Liver Disease, University Health Network, Toronto, ON, M5G 2C4, Canada
| | - Amanda Ricciuto
- Division of Gastroenterology, Hepatology and Nutrition, The Hospital for Sick Children, Toronto, ON, M5G 1X8, Canada
| | - Gary D Bader
- The Donnelly Centre, University of Toronto, Toronto, ON, M5S 3E1, Canada.
| | - Ian D McGilvray
- Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, M5G 2C4, Canada.
| | - Sonya MacParland
- Ajmera Transplant Centre, Toronto General Research Institute, University Health Network, Toronto, ON, M5G 2C4, Canada; Department of Immunology, University of Toronto, Toronto, ON, M5S 1A8, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, M5G 1L7, Canada.
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Fujiwara N, Kimura G, Nakagawa H. Emerging Roles of Spatial Transcriptomics in Liver Research. Semin Liver Dis 2024. [PMID: 38574750 DOI: 10.1055/a-2299-7880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/06/2024]
Abstract
Spatial transcriptomics, leveraging sequencing- and imaging-based techniques, has emerged as a groundbreaking technology for mapping gene expression within the complex architectures of tissues. This approach provides an in-depth understanding of cellular and molecular dynamics across various states of healthy and diseased livers. Through the integration of sophisticated bioinformatics strategies, it enables detailed exploration of cellular heterogeneity, transitions in cell states, and intricate cell-cell interactions with remarkable precision. In liver research, spatial transcriptomics has been particularly revelatory, identifying distinct zonated functions of hepatocytes that are crucial for understanding the metabolic and detoxification processes of the liver. Moreover, this technology has unveiled new insights into the pathogenesis of liver diseases, such as the role of lipid-associated macrophages in steatosis and endothelial cell signals in liver regeneration and repair. In the domain of liver cancer, spatial transcriptomics has proven instrumental in delineating intratumor heterogeneity, identifying supportive microenvironmental niches and revealing the complex interplay between tumor cells and the immune system as well as susceptibility to immune checkpoint inhibitors. In conclusion, spatial transcriptomics represents a significant advance in hepatology, promising to enhance our understanding and treatment of liver diseases.
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Affiliation(s)
- Naoto Fujiwara
- Department of Gastroenterology and Hepatology, Graduate School of Medicine, Mie University, Mie, Japan
| | - Genki Kimura
- Department of Gastroenterology and Hepatology, Graduate School of Medicine, Mie University, Mie, Japan
| | - Hayato Nakagawa
- Department of Gastroenterology and Hepatology, Graduate School of Medicine, Mie University, Mie, Japan
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Shen KY, Zhu Y, Xie SZ, Qin LX. Immunosuppressive tumor microenvironment and immunotherapy of hepatocellular carcinoma: current status and prospectives. J Hematol Oncol 2024; 17:25. [PMID: 38679698 PMCID: PMC11057182 DOI: 10.1186/s13045-024-01549-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 04/23/2024] [Indexed: 05/01/2024] Open
Abstract
Hepatocellular carcinoma (HCC) is a major health concern worldwide, with limited therapeutic options and poor prognosis. In recent years, immunotherapies such as immune checkpoint inhibitors (ICIs) have made great progress in the systemic treatment of HCC. The combination treatments based on ICIs have been the major trend in this area. Recently, dual immune checkpoint blockade with durvalumab plus tremelimumab has also emerged as an effective treatment for advanced HCC. However, the majority of HCC patients obtain limited benefits. Understanding the immunological rationale and exploring novel ways to improve the efficacy of immunotherapy has drawn much attention. In this review, we summarize the latest progress in this area, the ongoing clinical trials of immune-based combination therapies, as well as novel immunotherapy strategies such as chimeric antigen receptor T cells, personalized neoantigen vaccines, oncolytic viruses, and bispecific antibodies.
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Affiliation(s)
- Ke-Yu Shen
- Hepatobiliary Surgery, Department of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Fudan University, 12 Urumqi Road (M), Shanghai, 200040, China
- Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China
| | - Ying Zhu
- Hepatobiliary Surgery, Department of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Fudan University, 12 Urumqi Road (M), Shanghai, 200040, China
- Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China
| | - Sun-Zhe Xie
- Hepatobiliary Surgery, Department of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Fudan University, 12 Urumqi Road (M), Shanghai, 200040, China
- Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China
| | - Lun-Xiu Qin
- Hepatobiliary Surgery, Department of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Fudan University, 12 Urumqi Road (M), Shanghai, 200040, China.
- Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China.
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Jiang S, Lu H, Pan Y, Yang A, Aikemu A, Li H, Hao R, Huang Q, Qi X, Tao Z, Wu Y, Quan C, Zhou G, Lu Y. Characterization of the distinct immune microenvironments between hepatocellular carcinoma and intrahepatic cholangiocarcinoma. Cancer Lett 2024; 588:216799. [PMID: 38479553 DOI: 10.1016/j.canlet.2024.216799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 02/06/2024] [Accepted: 03/05/2024] [Indexed: 03/18/2024]
Abstract
As two major types of primary liver cancers, the tumor immune microenvironment (TIME) of hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) have been well studied separately. However, a systemic assessment of the similarities and differences between the TIME of HCC and ICC is still lacking. In this study, we pictured a landscape of combined TIME of HCC and ICC by sequencing and integrating 41 single-cell RNA-seq samples from four different tissue types of both malignancies. We found that T cells in HCC tumors generally exhibit higher levels of immunosuppression and exhaustion than those in ICC tumors. Myeloid cells in HCC and ICC tumors also exhibit distinct phenotypes and may serve as a key factor driving the differences between their TIMEs. Besides, we identified a cluster of EGR1+ macrophages specifically enriched in HCC tumors. Together, our study provides new insights into cellular composition, states and interactions in the TIMEs of HCC and ICC, which could pave the way for the development of future therapeutic targets for liver cancers.
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Affiliation(s)
- Siao Jiang
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, PR China; School of Life Science, University of Hebei, Baoding City, Hebei Province, PR China
| | - Hao Lu
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, PR China
| | - Yingwei Pan
- Department of Hepatobiliary Surgery, The First Medical Center of Chinese PLA General Hospital, Beijing, PR China
| | - Aiqing Yang
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, PR China
| | - Ainiwaer Aikemu
- College of Xinjiang Uyghur Medicine, Hetian City, Xinjiang Province, PR China
| | - Hao Li
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, PR China
| | - Rongjiao Hao
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, PR China; School of Life Science, University of Hebei, Baoding City, Hebei Province, PR China
| | - Qilin Huang
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, PR China; Collaborative Innovation Center for Personalized Cancer Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, PR China
| | - Xin Qi
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, PR China; Medical College, Guizhou University, Guiyang City, Guizhou Province, PR China
| | - Zongjian Tao
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, PR China
| | - Yinglong Wu
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, PR China
| | - Cheng Quan
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, PR China.
| | - Gangqiao Zhou
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, PR China; School of Life Science, University of Hebei, Baoding City, Hebei Province, PR China; Collaborative Innovation Center for Personalized Cancer Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, PR China; Medical College, Guizhou University, Guiyang City, Guizhou Province, PR China.
| | - Yiming Lu
- State Key Laboratory of Proteomics, National Center for Protein Sciences at Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, PR China; School of Life Science, University of Hebei, Baoding City, Hebei Province, PR China.
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Blériot C, Dunsmore G, Alonso-Curbelo D, Ginhoux F. A temporal perspective for tumor-associated macrophage identities and functions. Cancer Cell 2024:S1535-6108(24)00126-0. [PMID: 38670090 DOI: 10.1016/j.ccell.2024.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 02/13/2024] [Accepted: 04/04/2024] [Indexed: 04/28/2024]
Abstract
Cancer is a progressive disease that can develop and evolve over decades, with inflammation playing a central role at each of its stages, from tumor initiation to metastasis. In this context, macrophages represent well-established bridges reciprocally linking inflammation and cancer via an array of diverse functions that have spurred efforts to classify them into subtypes. Here, we discuss the intertwines between macrophages, inflammation, and cancer with an emphasis on temporal dynamics of macrophage diversity and functions in pre-malignancy and cancer. By instilling temporal dynamism into the more static classic view of tumor-associated macrophage biology, we propose a new framework to better contextualize their significance in the inflammatory processes that precede and result from the onset of cancer and shape its evolution.
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Affiliation(s)
- Camille Blériot
- Gustave Roussy, INSERM, Villejuif, France; Institut Necker des Enfants Malades (INEM), INSERM, CNRS, Université Paris Cité, Paris, France
| | | | - Direna Alonso-Curbelo
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
| | - Florent Ginhoux
- Gustave Roussy, INSERM, Villejuif, France; Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore; Shanghai Institute of Immunology, Shanghai JiaoTong University School of Medicine, Shanghai, China; Translational Immunology Institute, SingHealth Duke-NUS, Singapore, Singapore.
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10
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Zheng S, Chan SW, Liu F, Liu J, Chow PKH, Toh HC, Hong W. Hepatocellular Carcinoma: Current Drug Therapeutic Status, Advances and Challenges. Cancers (Basel) 2024; 16:1582. [PMID: 38672664 PMCID: PMC11048862 DOI: 10.3390/cancers16081582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Revised: 04/12/2024] [Accepted: 04/19/2024] [Indexed: 04/28/2024] Open
Abstract
Hepatocellular carcinoma (HCC) is the most common form of liver cancer, accounting for ~90% of liver neoplasms. It is the second leading cause of cancer-related deaths and the seventh most common cancer worldwide. Although there have been rapid developments in the treatment of HCC over the past decade, the incidence and mortality rates of HCC remain a challenge. With the widespread use of the hepatitis B vaccine and antiviral therapy, the etiology of HCC is shifting more toward metabolic-associated steatohepatitis (MASH). Early-stage HCC can be treated with potentially curative strategies such as surgical resection, liver transplantation, and radiofrequency ablation, improving long-term survival. However, most HCC patients, when diagnosed, are already in the intermediate or advanced stages. Molecular targeted therapy, followed by immune checkpoint inhibitor immunotherapy, has been a revolution in HCC systemic treatment. Systemic treatment of HCC especially for patients with compromised liver function is still a challenge due to a significant resistance to immune checkpoint blockade, tumor heterogeneity, lack of oncogenic addiction, and lack of effective predictive and therapeutic biomarkers.
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Affiliation(s)
- Shunzhen Zheng
- Key Laboratory of Biopharmaceuticals, Postdoctoral Scientific Research Workstation, Shandong Academy of Pharmaceutical Science, Jinan 250098, China;
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Singapore 138673, Singapore; (S.W.C.); (W.H.)
- Department of Hepatobiliary Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China;
| | - Siew Wee Chan
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Singapore 138673, Singapore; (S.W.C.); (W.H.)
| | - Fei Liu
- Key Laboratory of Biopharmaceuticals, Postdoctoral Scientific Research Workstation, Shandong Academy of Pharmaceutical Science, Jinan 250098, China;
| | - Jun Liu
- Department of Hepatobiliary Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China;
| | - Pierce Kah Hoe Chow
- Division of Surgery and Surgical Oncology, National Cancer Centre, Singapore 169610, Singapore;
- Academic Clinical Programme for Surgery, Duke-NUS Medical School, Singapore 169857, Singapore
| | - Han Chong Toh
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore 168583, Singapore;
| | - Wanjin Hong
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Singapore 138673, Singapore; (S.W.C.); (W.H.)
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11
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Schlenker R, Schwalie PC, Dettling S, Huesser T, Irmisch A, Mariani M, Martínez Gómez JM, Ribeiro A, Limani F, Herter S, Yángüez E, Hoves S, Somandin J, Siebourg-Polster J, Kam-Thong T, de Matos IG, Umana P, Dummer R, Levesque MP, Bacac M. Myeloid-T cell interplay and cell state transitions associated with checkpoint inhibitor response in melanoma. Med 2024:S2666-6340(24)00127-2. [PMID: 38593812 DOI: 10.1016/j.medj.2024.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 11/23/2023] [Accepted: 03/17/2024] [Indexed: 04/11/2024]
Abstract
BACKGROUND The treatment of melanoma, the deadliest form of skin cancer, has greatly benefited from immunotherapy. However, many patients do not show a durable response, which is only partially explained by known resistance mechanisms. METHODS We performed single-cell RNA sequencing of tumor immune infiltrates and matched peripheral blood mononuclear cells of 22 checkpoint inhibitor (CPI)-naive stage III-IV metastatic melanoma patients. After sample collection, the same patients received CPI treatment, and their response was assessed. FINDINGS CPI responders showed high levels of classical monocytes in peripheral blood, which preferentially transitioned toward CXCL9-expressing macrophages in tumors. Trajectories of tumor-infiltrating CD8+ T cells diverged at the level of effector memory/stem-like T cells, with non-responder cells progressing into a state characterized by cellular stress and apoptosis-related gene expression. Consistently, predicted non-responder-enriched myeloid-T/natural killer cell interactions were primarily immunosuppressive, while responder-enriched interactions were supportive of T cell priming and effector function. CONCLUSIONS Our study illustrates that the tumor immune microenvironment prior to CPI treatment can be indicative of response. In perspective, modulating the myeloid and/or effector cell compartment by altering the described cell interactions and transitions could improve immunotherapy response. FUNDING This research was funded by Roche Pharma Research and Early Development.
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Affiliation(s)
- Ramona Schlenker
- Roche Innovation Center Munich, Roche Pharma Research and Early Development (pRED), Penzberg, Germany.
| | | | - Steffen Dettling
- Roche Innovation Center Munich, Roche Pharma Research and Early Development (pRED), Penzberg, Germany
| | - Tamara Huesser
- Roche Innovation Center Zurich, pRED, Schlieren, Switzerland
| | - Anja Irmisch
- Department of Dermatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Marisa Mariani
- Roche Innovation Center Zurich, pRED, Schlieren, Switzerland
| | - Julia M Martínez Gómez
- Department of Dermatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Alison Ribeiro
- Roche Innovation Center Zurich, pRED, Schlieren, Switzerland
| | - Florian Limani
- Roche Innovation Center Zurich, pRED, Schlieren, Switzerland
| | - Sylvia Herter
- Roche Innovation Center Zurich, pRED, Schlieren, Switzerland
| | - Emilio Yángüez
- Roche Innovation Center Zurich, pRED, Schlieren, Switzerland
| | - Sabine Hoves
- Roche Innovation Center Munich, Roche Pharma Research and Early Development (pRED), Penzberg, Germany
| | - Jitka Somandin
- Roche Innovation Center Zurich, pRED, Schlieren, Switzerland
| | | | | | | | - Pablo Umana
- Roche Innovation Center Zurich, pRED, Schlieren, Switzerland
| | - Reinhard Dummer
- Department of Dermatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Mitchell P Levesque
- Department of Dermatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Marina Bacac
- Roche Innovation Center Zurich, pRED, Schlieren, Switzerland
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12
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Liu C, Xie J, Lin B, Tian W, Wu Y, Xin S, Hong L, Li X, Liu L, Jin Y, Tang H, Deng X, Zou Y, Zheng S, Fang W, Cheng J, Dai X, Bao X, Zhao P. Pan-Cancer Single-Cell and Spatial-Resolved Profiling Reveals the Immunosuppressive Role of APOE+ Macrophages in Immune Checkpoint Inhibitor Therapy. Adv Sci (Weinh) 2024:e2401061. [PMID: 38569519 DOI: 10.1002/advs.202401061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 03/13/2024] [Indexed: 04/05/2024]
Abstract
The heterogeneity of macrophages influences the response to immune checkpoint inhibitor (ICI) therapy. However, few studies explore the impact of APOE+ macrophages on ICI therapy using single-cell RNA sequencing (scRNA-seq) and machine learning methods. The scRNA-seq and bulk RNA-seq data are Integrated to construct an M.Sig model for predicting ICI response based on the distinct molecular signatures of macrophage and machine learning algorithms. Comprehensive single-cell analysis as well as in vivo and in vitro experiments are applied to explore the potential mechanisms of the APOE+ macrophage in affecting ICI response. The M.Sig model shows clear advantages in predicting the efficacy and prognosis of ICI therapy in pan-cancer patients. The proportion of APOE+ macrophages is higher in ICI non-responders of triple-negative breast cancer compared with responders, and the interaction and longer distance between APOE+ macrophages and CD8+ exhausted T (Tex) cells affecting ICI response is confirmed by multiplex immunohistochemistry. In a 4T1 tumor-bearing mice model, the APOE inhibitor combined with ICI treatment shows the best efficacy. The M.Sig model using real-world immunotherapy data accurately predicts the ICI response of pan-cancer, which may be associated with the interaction between APOE+ macrophages and CD8+ Tex cells.
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Affiliation(s)
- Chuan Liu
- Department of Medical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Jindong Xie
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Bo Lin
- College of Computer Science and Technology, Zhejiang University, Hangzhou, 310053, China
- Innovation Centre for Information, Binjiang Institute of Zhejiang University, Hangzhou, 310053, China
| | - Weihong Tian
- Changzhou Third People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, 213000, China
| | - Yifan Wu
- School of software, Zhejiang University, Ningbo, 315100, China
| | - Shan Xin
- Department of Genetics, Yale School of medicine, New Haven, CT, 06510, USA
| | - Libing Hong
- Department of Medical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Xin Li
- Department Chronic Inflammation and Cancer, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Lulu Liu
- Department of Medical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Yuzhi Jin
- Department of Medical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Hailin Tang
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Xinpei Deng
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Yutian Zou
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Shaoquan Zheng
- Breast Disease Center, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510060, China
| | - Weijia Fang
- Department of Medical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Jinlin Cheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Xiaomeng Dai
- Department of Medical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Xuanwen Bao
- Department of Medical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Peng Zhao
- Department of Medical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China
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13
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Liang Y, Zhang R, Biswas S, Bu Q, Xu Z, Qiao L, Zhou Y, Tang J, Zhou J, Zhou H, Lu L. Integrated single-cell transcriptomics reveals the hypoxia-induced inflammation-cancer transformation in NASH-derived hepatocellular carcinoma. Cell Prolif 2024; 57:e13576. [PMID: 37994257 PMCID: PMC10984103 DOI: 10.1111/cpr.13576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 10/16/2023] [Accepted: 11/01/2023] [Indexed: 11/24/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) has emerged as the primary risk factor for hepatocellular carcinoma (HCC), owing to improved vaccination rates of Hepatitis B and the increasing prevalence of metabolic syndrome related to obesity. Although the importance of innate and adaptive immune cells has been emphasized, the malignant transformation of hepatocytes and their intricate cellular network with the immune system remain unclear. The study incorporated four single-cell transcriptomic datasets of liver tissues covering healthy and NAFLD-related disease status. To identify the subsets and functions of hepatocytes and macrophages, we employed differential composition analysis, functional enrichment analysis, pseudotime analysis, and scenic analysis. Furthermore, an experimental mouse model for the transformation of nonalcoholic steatohepatitis into hepatocellular carcinoma was established for validation purposes. We defined CYP7A1+ hepatocytes enriched in precancerous lesions as 'Transitional Cells' in the progression from NAFLD to HCC. CYP7A1+ hepatocytes upregulated genes associated with stress response, inflammation and cancer-associated pathways and downregulated the normal hepatocyte signature. We observed that hypoxia activation accompanied the entire process of inflammation-cancer transformation. Hepatocyte-derived HIF1A was gradually activated during the progression of NAFLD disease to adapt to the hypoxic microenvironment and hepatocytes under hypoxic environment led to changes in the metabolism, proliferation and angiogenesis, promoting the occurrence of tumours. Meanwhile, hypoxia induced the polarization of RACK1+ macrophages that enriched in the liver tissues of NASH towards immunosuppressed TREM2+ macrophages. Moreover, immunosuppressive TREM2+ macrophages were recruited by tumour cells through the CCL15-CCR1 axis to enhance immunosuppressive microenvironment and promote NAFLD-related HCC progression. The study provides a deep understanding of the development mechanism of NAFLD-related HCC and offers theoretical support and experimental basis for biological targets, drug research, and clinical application.
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Affiliation(s)
- Yuan Liang
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical SciencesNanjing Medical UniversityNanjingChina
- School of Biological Science & Medical EngineeringSoutheast UniversityNanjingChina
| | - Rui Zhang
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical SciencesNanjing Medical UniversityNanjingChina
| | - Siddhartha Biswas
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical SciencesNanjing Medical UniversityNanjingChina
| | - Qingfa Bu
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical SciencesNanjing Medical UniversityNanjingChina
| | - Zibo Xu
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical SciencesNanjing Medical UniversityNanjingChina
| | - Lei Qiao
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical SciencesNanjing Medical UniversityNanjingChina
- Department of BioinformaticsNanjing Medical UniversityNanjingChina
| | - Yan Zhou
- Department of Pancreatic Surgery, Nanjing Drum Tower HospitalThe Affiliated Hospital of Nanjing University Medical SchoolNanjingChina
| | - Jiaqi Tang
- Department of BioinformaticsNanjing Medical UniversityNanjingChina
| | - Jinren Zhou
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical SciencesNanjing Medical UniversityNanjingChina
| | - Haoming Zhou
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical SciencesNanjing Medical UniversityNanjingChina
| | - Ling Lu
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical SciencesNanjing Medical UniversityNanjingChina
- Affiliated Hospital of Xuzhou Medical UniversityXuzhouChina
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14
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Ren L, Huang D, Liu H, Ning L, Cai P, Yu X, Zhang Y, Luo N, Lin H, Su J, Zhang Y. Applications of single‑cell omics and spatial transcriptomics technologies in gastric cancer (Review). Oncol Lett 2024; 27:152. [PMID: 38406595 PMCID: PMC10885005 DOI: 10.3892/ol.2024.14285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 01/19/2024] [Indexed: 02/27/2024] Open
Abstract
Gastric cancer (GC) is a prominent contributor to global cancer-related mortalities, and a deeper understanding of its molecular characteristics and tumor heterogeneity is required. Single-cell omics and spatial transcriptomics (ST) technologies have revolutionized cancer research by enabling the exploration of cellular heterogeneity and molecular landscapes at the single-cell level. In the present review, an overview of the advancements in single-cell omics and ST technologies and their applications in GC research is provided. Firstly, multiple single-cell omics and ST methods are discussed, highlighting their ability to offer unique insights into gene expression, genetic alterations, epigenomic modifications, protein expression patterns and cellular location in tissues. Furthermore, a summary is provided of key findings from previous research on single-cell omics and ST methods used in GC, which have provided valuable insights into genetic alterations, tumor diagnosis and prognosis, tumor microenvironment analysis, and treatment response. In summary, the application of single-cell omics and ST technologies has revealed the levels of cellular heterogeneity and the molecular characteristics of GC, and holds promise for improving diagnostics, personalized treatments and patient outcomes in GC.
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Affiliation(s)
- Liping Ren
- School of Healthcare Technology, Chengdu Neusoft University, Chengdu, Sichuan 611844, P.R. China
| | - Danni Huang
- Department of Radiology, Central South University Xiangya School of Medicine Affiliated Haikou People's Hospital, Haikou, Hainan 570208, P.R. China
| | - Hongjiang Liu
- School of Computer Science and Technology, Aba Teachers College, Aba, Sichuan 624099, P.R. China
| | - Lin Ning
- School of Healthcare Technology, Chengdu Neusoft University, Chengdu, Sichuan 611844, P.R. China
| | - Peiling Cai
- School of Basic Medical Sciences, Chengdu University, Chengdu, Sichuan 610106, P.R. China
| | - Xiaolong Yu
- Hainan Yazhou Bay Seed Laboratory, Sanya Nanfan Research Institute, Material Science and Engineering Institute of Hainan University, Sanya, Hainan 572025, P.R. China
| | - Yang Zhang
- Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, P.R. China
| | - Nanchao Luo
- School of Computer Science and Technology, Aba Teachers College, Aba, Sichuan 624099, P.R. China
| | - Hao Lin
- Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, P.R. China
| | - Jinsong Su
- Research Institute of Integrated Traditional Chinese Medicine and Western Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, P.R. China
| | - Yinghui Zhang
- School of Healthcare Technology, Chengdu Neusoft University, Chengdu, Sichuan 611844, P.R. China
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15
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Zhu J, Yang W, Ma J, He H, Liu Z, Zhu X, He X, He J, Chen Z, Jin X, Wang X, He K, Wei W, Hu J. Pericyte signaling via soluble guanylate cyclase shapes the vascular niche and microenvironment of tumors. EMBO J 2024; 43:1519-1544. [PMID: 38528180 PMCID: PMC11021551 DOI: 10.1038/s44318-024-00078-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 03/04/2024] [Accepted: 03/07/2024] [Indexed: 03/27/2024] Open
Abstract
Pericytes and endothelial cells (ECs) constitute the fundamental components of blood vessels. While the role of ECs in tumor angiogenesis and the tumor microenvironment is well appreciated, pericyte function in tumors remains underexplored. In this study, we used pericyte-specific deletion of the nitric oxide (NO) receptor, soluble guanylate cyclase (sGC), to investigate via single-cell RNA sequencing how pericytes influence the vascular niche and the tumor microenvironment. Our findings demonstrate that pericyte sGC deletion disrupts EC-pericyte interactions, impairing Notch-mediated intercellular communication and triggering extensive transcriptomic reprogramming in both pericytes and ECs. These changes further extended their influence to neighboring cancer-associated fibroblasts (CAFs) and tumor-associated macrophages (TAMs) through paracrine signaling, collectively suppressing tumor growth. Inhibition of pericyte sGC has minimal impact on quiescent vessels but significantly increases the vulnerability of angiogenic tumor vessels to conventional anti-angiogenic therapy. In conclusion, our findings elucidate the role of pericytes in shaping the tumor vascular niche and tumor microenvironment and support pericyte sGC targeting as a promising strategy for improving anti-angiogenic therapy for cancer treatment.
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Affiliation(s)
- Jing Zhu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Wu Yang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China.
- University of Chinese Academy of Sciences, Beijing, China.
| | - Jianyun Ma
- University of Chinese Academy of Sciences, Beijing, China
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China
| | - Hao He
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zhen Liu
- University of Chinese Academy of Sciences, Beijing, China
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China
- Lingang Laboratory, Shanghai, China
| | - Xiaolan Zhu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xueyang He
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jing He
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zhan Chen
- Pathology Department, Cixi People's Hospital, Zhejiang, China
| | - Xiaoliang Jin
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaohong Wang
- Department of Pharmacology and Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Kaiwen He
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
- Shanghai Key Laboratory of Aging Studies, Shanghai, China
| | - Wu Wei
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China.
- Lingang Laboratory, Shanghai, China.
| | - Junhao Hu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China.
- University of Chinese Academy of Sciences, Beijing, China.
- Shanghai Key Laboratory of Aging Studies, Shanghai, China.
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16
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Hu X, Zhang Z, Long L, Gu M, Chen W, Pan B, Wu X, Wang C, Li C, Zheng L, Sheng P. Deconvolution of synovial myeloid cell subsets across pathotypes and role of COL3A1+ macrophages in rheumatoid arthritis remission. Front Immunol 2024; 15:1307748. [PMID: 38601143 PMCID: PMC11005452 DOI: 10.3389/fimmu.2024.1307748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 03/08/2024] [Indexed: 04/12/2024] Open
Abstract
Background Monocyte/macrophage (Mo/Mp) is a critical cell population involved in immune modulation of rheumatoid synovitis (RA) across different pathotypes. This study aims to investigate the contribution of Mo/Mp clusters to RA activity, and the biological function of particular subtypes in RA remission. Methods We integrated single-cell RNA sequencing datasets from 4 published and 1 in-house studies using Liger selected by comparison. We estimated the abundance of Mo/Mp subtypes in bulk RNA-seq data from the 81 patients of the Pathobiology of Early Arthritis Cohort (PEAC) using deconvolution analysis. Correlations between Mo/Mp subtypes and RA clinical metrics were assessed. A particular cell type was identified using multicolor immunofluorescence and flow cytometry in vivo and successfully induced from a cell line in vitro. Potential immune modulation function of it was performed using immunohistochemical staining, adhesion assay, and RT-qPCR. Results We identified 8 Mo/Mp clusters. As a particular subtype among them, COL3A1+ Mp (CD68+, COL3A1+, ACTA2-) enriched in myeloid pathotype and negatively correlated with RA severity metrics in all pathotypes. Flow cytometry and multicolor immunofluorescence evidenced the enrichment and M2-like phenotype of COL3A1+ Mp in the myeloid pathotype. Further assays suggested that COL3A1+ Mp potentially attenuates RA severity via expressing anti-inflammatory cytokines, enhancing Mp adhesion, and forming a physical barrier at the synovial lining. Conclusion This study reported unexplored associations between different pathologies and myeloid cell subtypes. We also identified a fibroblast-and-M2-like cluster named COL3A1+ Mp, which potentially contributes to synovial immune homeostasis. Targeting the development of COL3A1+ Mp may hold promise for inducing RA remission.
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Affiliation(s)
- Xuantao Hu
- Department of Joint Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Orthopaedics and Traumatology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Ziji Zhang
- Department of Joint Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Orthopaedics and Traumatology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Lingli Long
- Research Center of Translational Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Minghu Gu
- Department of Joint Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Orthopaedics and Traumatology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Weishen Chen
- Department of Joint Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Orthopaedics and Traumatology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Baiqi Pan
- Department of Joint Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Orthopaedics and Traumatology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xiaoyu Wu
- Department of Joint Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Orthopaedics and Traumatology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Chao Wang
- Department of Joint Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Orthopaedics and Traumatology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Chengxin Li
- Department of Joint Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Orthopaedics and Traumatology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Linli Zheng
- Department of Joint Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Orthopaedics and Traumatology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Puyi Sheng
- Department of Joint Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Orthopaedics and Traumatology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
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17
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Liu ZL, Meng XY, Bao RJ, Shen MY, Sun JJ, Chen WD, Liu F, He Y. Single cell deciphering of progression trajectories of the tumor ecosystem in head and neck cancer. Nat Commun 2024; 15:2595. [PMID: 38519500 PMCID: PMC10959966 DOI: 10.1038/s41467-024-46912-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 03/14/2024] [Indexed: 03/25/2024] Open
Abstract
Head and neck squamous cell carcinoma is the sixth most common cancer worldwide and has high heterogeneity and unsatisfactory outcomes. To better characterize the tumor progression trajectory, we perform single-cell RNA sequencing of normal tissue, precancerous tissue, early-stage, advanced-stage cancer tissue, lymph node, and recurrent tumors tissue samples. We identify the transcriptional development trajectory of malignant epithelial cells and a tumorigenic epithelial subcluster regulated by TFDP1. Furthermore, we find that the infiltration of POSTN+ fibroblasts and SPP1+ macrophages gradually increases with tumor progression; their interaction or interaction with malignant cells also gradually increase to shape the desmoplastic microenvironment and reprogram malignant cells to promote tumor progression. Additionally, we demonstrate that during lymph node metastasis, exhausted CD8+ T cells with high CXCL13 expression strongly interact with tumor cells to acquire more aggressive phenotypes of extranodal expansion. Finally, we delineate the distinct features of malignant epithelial cells in primary and recurrent tumors, providing a theoretical foundation for the precise selection of targeted therapy for tumors at different stages. In summary, the current study offers a comprehensive landscape and deep insight into epithelial and microenvironmental reprogramming throughout initiation, progression, lymph node metastasis and recurrence of head and neck squamous cell carcinoma.
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Affiliation(s)
- Z L Liu
- Department of Oral Maxillofacial & Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine; College of Stomatology, Shanghai Jiao Tong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology Shanghai, Shanghai, 200011, China
| | - X Y Meng
- Department of Oral Maxillofacial & Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine; College of Stomatology, Shanghai Jiao Tong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology Shanghai, Shanghai, 200011, China
| | - R J Bao
- Shanghai Institute of Immunology, State Key Laboratory of Oncogenes and Related Genes, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - M Y Shen
- Shanghai Institute of Immunology, State Key Laboratory of Oncogenes and Related Genes, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - J J Sun
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine; College of Stomatology, Shanghai Jiao Tong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology Shanghai, Shanghai, 200011, China
| | - W D Chen
- Novel Bioinformatics Co., Ltd, Shanghai, China
| | - F Liu
- Department of Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Y He
- Department of Oral Maxillofacial & Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine; College of Stomatology, Shanghai Jiao Tong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology Shanghai, Shanghai, 200011, China.
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18
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Meroueh C, Warasnhe K, Tizhoosh HR, Shah VH, Ibrahim SH. Digital pathology and spatial omics in steatohepatitis: Clinical applications and discovery potentials. Hepatology 2024:01515467-990000000-00815. [PMID: 38517078 DOI: 10.1097/hep.0000000000000866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Accepted: 02/26/2024] [Indexed: 03/23/2024]
Abstract
Steatohepatitis with diverse etiologies is the most common histological manifestation in patients with liver disease. However, there are currently no specific histopathological features pathognomonic for metabolic dysfunction-associated steatotic liver disease, alcohol-associated liver disease, or metabolic dysfunction-associated steatotic liver disease with increased alcohol intake. Digitizing traditional pathology slides has created an emerging field of digital pathology, allowing for easier access, storage, sharing, and analysis of whole-slide images. Artificial intelligence (AI) algorithms have been developed for whole-slide images to enhance the accuracy and speed of the histological interpretation of steatohepatitis and are currently employed in biomarker development. Spatial biology is a novel field that enables investigators to map gene and protein expression within a specific region of interest on liver histological sections, examine disease heterogeneity within tissues, and understand the relationship between molecular changes and distinct tissue morphology. Here, we review the utility of digital pathology (using linear and nonlinear microscopy) augmented with AI analysis to improve the accuracy of histological interpretation. We will also discuss the spatial omics landscape with special emphasis on the strengths and limitations of established spatial transcriptomics and proteomics technologies and their application in steatohepatitis. We then highlight the power of multimodal integration of digital pathology augmented by machine learning (ML)algorithms with spatial biology. The review concludes with a discussion of the current gaps in knowledge, the limitations and premises of these tools and technologies, and the areas of future research.
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Affiliation(s)
- Chady Meroueh
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Khaled Warasnhe
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Hamid R Tizhoosh
- Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA
| | - Vijay H Shah
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Samar H Ibrahim
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
- Division of Pediatric Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
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19
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Li J, Zhang L, Xing H, Geng Y, Lv S, Luo X, He W, Fu Z, Li G, Hu B, Jiang S, Yang Z, Zhu N, Zhang Q, Zhao J, Tao Y, Shen C, Li R, Tang F, Zheng S, Bao Y, He Q, Geng D, Wang Z. The Absence of Intra-Tumoral Tertiary Lymphoid Structures is Associated with a Worse Prognosis and mTOR Signaling Activation in Hepatocellular Carcinoma with Liver Transplantation: A Multicenter Retrospective Study. Adv Sci (Weinh) 2024:e2309348. [PMID: 38498682 DOI: 10.1002/advs.202309348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 02/21/2024] [Indexed: 03/20/2024]
Abstract
Tertiary lymphoid structure (TLS) can predict the prognosis and sensitivity of tumors to immune checkpoint inhibitors (ICIs) therapy, whether it can be noninvasively predicted by radiomics in hepatocellular carcinoma with liver transplantation (HCC-LT) has not been explored. In this study, it is found that intra-tumoral TLS abundance is significantly correlated with recurrence-free survival (RFS) and overall survival (OS). Tumor tissues with TLS are characterized by inflammatory signatures and high infiltration of antitumor immune cells, while those without TLS exhibit uncontrolled cell cycle progression and activated mTOR signaling by bulk and single-cell RNA-seq analyses. The regulators involved in mTOR signaling (RHEB and LAMTOR4) and S-phase (RFC2, PSMC2, and ORC5) are highly expressed in HCC with low TLS. In addition, the largest cohort of HCC patients is studied with available radiomics data, and a classifier is built to detect the presence of TLS in a non-invasive manner. The classifier demonstrates remarkable performance in predicting intra-tumoral TLS abundance in both training and test sets, achieving areas under receiver operating characteristic curve (AUCs) of 92.9% and 90.2% respectively. In summary, the absence of intra-tumoral TLS abundance is associated with mTOR signaling activation and uncontrolled cell cycle progression in tumor cells, indicating unfavorable prognosis in HCC-LT.
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Affiliation(s)
- Jianhua Li
- Liver Transplantation Center, Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, P. R. China
- Institute of Organ Transplantation, Fudan University, Shanghai, 200040, P. R. China
| | - Li Zhang
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, P. R. China
| | - Hao Xing
- Liver Transplantation Center, Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, P. R. China
- Institute of Organ Transplantation, Fudan University, Shanghai, 200040, P. R. China
| | - Yan Geng
- Hepatobiliary Surgery, Department of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Fudan University, Shanghai, 200040, P. R. China
| | - Shaocheng Lv
- Department of Hepatobiliary Surgery, Beijing Chaoyang Hospital affiliated to Capital Medical University, Beijing, 100020, P. R. China
| | - Xiao Luo
- Academy for Engineering and Technology, Fudan University, Shanghai, 200032, P. R. China
| | - Weiqiao He
- Liver Transplantation Center, Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, P. R. China
- Institute of Organ Transplantation, Fudan University, Shanghai, 200040, P. R. China
| | - Zhi Fu
- General Surgery Center, Beijing Youan Hospital, Capital Medical University, Beijing, 100020, P. R. China
| | - Guangming Li
- General Surgery Center, Beijing Youan Hospital, Capital Medical University, Beijing, 100020, P. R. China
| | - Bin Hu
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, P. R. China
- Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, 200040, P. R. China
| | - Shengran Jiang
- Liver Transplantation Center, Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, P. R. China
- Institute of Organ Transplantation, Fudan University, Shanghai, 200040, P. R. China
| | - Zhe Yang
- Department of Hepatobiliary and Pancreatic Surgery, Shulan (Hangzhou) Hospital, Zhejiang Shuren University School of Medicine, Hangzhou, 310022, P. R. China
| | - Ningqi Zhu
- Liver Transplantation Center, Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, P. R. China
- Institute of Organ Transplantation, Fudan University, Shanghai, 200040, P. R. China
| | - Quanbao Zhang
- Liver Transplantation Center, Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, P. R. China
- Institute of Organ Transplantation, Fudan University, Shanghai, 200040, P. R. China
| | - Jing Zhao
- Liver Transplantation Center, Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, P. R. China
- Institute of Organ Transplantation, Fudan University, Shanghai, 200040, P. R. China
| | - Yifeng Tao
- Liver Transplantation Center, Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, P. R. China
- Institute of Organ Transplantation, Fudan University, Shanghai, 200040, P. R. China
| | - Conghuan Shen
- Liver Transplantation Center, Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, P. R. China
- Institute of Organ Transplantation, Fudan University, Shanghai, 200040, P. R. China
| | - Ruidong Li
- Institute of Organ Transplantation, Fudan University, Shanghai, 200040, P. R. China
- Department of Critical Care Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, P. R. China
| | - Feng Tang
- Department of Pathology, Huashan Hospital, Fudan University, Shanghai, 200040, P. R. China
| | - Shusen Zheng
- Department of Hepatobiliary and Pancreatic Surgery, Shulan (Hangzhou) Hospital, Zhejiang Shuren University School of Medicine, Hangzhou, 310022, P. R. China
| | - Yun Bao
- Department of Pathology, Huashan Hospital, Fudan University, Shanghai, 200040, P. R. China
| | - Qiang He
- Department of Hepatobiliary Surgery, Beijing Chaoyang Hospital affiliated to Capital Medical University, Beijing, 100020, P. R. China
| | - Daoying Geng
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, P. R. China
- Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, 200040, P. R. China
| | - Zhengxin Wang
- Liver Transplantation Center, Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, P. R. China
- Institute of Organ Transplantation, Fudan University, Shanghai, 200040, P. R. China
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20
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Liao Y, Rao Z, Huang S, Zhao D. Protocol to analyze immune cells in the tumor microenvironment by transcriptome using machine learning. STAR Protoc 2024; 5:102684. [PMID: 38219153 PMCID: PMC10826422 DOI: 10.1016/j.xpro.2023.102684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 09/15/2023] [Accepted: 10/10/2023] [Indexed: 01/16/2024] Open
Abstract
Immunotherapy is a promising strategy to treat cancer. Here, we present a protocol for analyzing the transcriptome-based phenotypic alterations and immune cell infiltration in the tumor microenvironment. We describe steps for integrating single-cell RNA sequencing (scRNA-seq) data, comparing phenotypes and origins of mononuclear phagocytes, inferring the differentiation trajectory and infiltration process, and identifying infiltration-associated genes using machine learning. We then detail procedures for exploring the impact of these genes in prognosis through the integrated microarray and bulk RNA-seq data to obtain potential drug targets. For complete details on the use and execution of this protocol, please refer to Liao et al.1.
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Affiliation(s)
- Yunxi Liao
- Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China; State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing 100191, China
| | - Ziyan Rao
- Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China; State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing 100191, China
| | - Shaodong Huang
- Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China; State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing 100191, China
| | - Dongyu Zhao
- Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China; State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing 100191, China.
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21
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Sarkar B, Arlauckas SP, Cuccarese MF, Garris CS, Weissleder R, Rodell CB. Host-functionalization of macrin nanoparticles to enable drug loading and control tumor-associated macrophage phenotype. Front Immunol 2024; 15:1331480. [PMID: 38545103 PMCID: PMC10965546 DOI: 10.3389/fimmu.2024.1331480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 02/26/2024] [Indexed: 04/09/2024] Open
Abstract
Macrophages are critical regulators of the tumor microenvironment and often present an immuno-suppressive phenotype, supporting tumor growth and immune evasion. Promoting a robust pro-inflammatory macrophage phenotype has emerged as a therapeutic modality that supports tumor clearance, including through synergy with immune checkpoint therapies. Polyglucose nanoparticles (macrins), which possess high macrophage affinity, are useful vehicles for delivering drugs to macrophages, potentially altering their phenotype. Here, we examine the potential of functionalized macrins, synthesized by crosslinking carboxymethyl dextran with L-lysine, as effective carriers of immuno-stimulatory drugs to tumor-associated macrophages (TAMs). Azide groups incorporated during particle synthesis provided a handle for click-coupling of propargyl-modified β-cyclodextrin to macrins under mild conditions. Fluorescence-based competitive binding assays revealed the ability of β-cyclodextrin to non-covalently bind to hydrophobic immuno-stimulatory drug candidates (Keq ~ 103 M-1), enabling drug loading within nanoparticles. Furthermore, transcriptional profiles of macrophages indicated robust pro-inflammatory reprogramming (elevated Nos2 and Il12; suppressed Arg1 and Mrc1 expression levels) for a subset of these immuno-stimulatory agents (UNC2025 and R848). Loading of R848 into the modified macrins improved the drug's effect on primary murine macrophages by three-fold in vitro. Intravital microscopy in IL-12-eYFP reporter mice (24 h post-injection) revealed a two-fold enhancement in mean YFP fluorescence intensity in macrophages targeted with R848-loaded macrins, relative to vehicle controls, validating the desired pro-inflammatory reprogramming of TAMs in vivo by cell-targeted drug delivery. Finally, in an intradermal MC38 tumor model, cyclodextrin-modified macrin NPs loaded with immunostimulatory drugs significantly reduced tumor growth. Therefore, efficient and effective repolarization of tumor-associated macrophages to an M1-like phenotype-via drug-loaded macrins-inhibits tumor growth and may be useful as an adjuvant to existing immune checkpoint therapies.
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Affiliation(s)
- Biplab Sarkar
- School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, United States
| | - Sean P. Arlauckas
- Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, United States
| | - Michael F. Cuccarese
- Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, United States
| | - Christopher S. Garris
- Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, United States
- Department of Pathology, Harvard Medical School, Boston, MA, United States
| | - Ralph Weissleder
- Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, United States
- Department of Systems Biology, Harvard Medical School, Boston, MA, United States
| | - Christopher B. Rodell
- School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, United States
- Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, United States
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22
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Kim HD, Jung S, Lim HY, Ryoo BY, Ryu MH, Chuah S, Chon HJ, Kang B, Hong JY, Lee HC, Moon DB, Kim KH, Kim TW, Tai D, Chew V, Lee JS, Finn RS, Koh JY, Yoo C. Regorafenib plus nivolumab in unresectable hepatocellular carcinoma: the phase 2 RENOBATE trial. Nat Med 2024; 30:699-707. [PMID: 38374347 PMCID: PMC10957471 DOI: 10.1038/s41591-024-02824-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 01/21/2024] [Indexed: 02/21/2024]
Abstract
Regorafenib has anti-tumor activity in patients with unresectable hepatocellular carcinoma (uHCC) with potential immunomodulatory effects, suggesting that its combination with immune checkpoint inhibitor may have clinically meaningful benefits in patients with uHCC. The multicenter, single-arm, phase 2 RENOBATE trial tested regorafenib-nivolumab as front-line treatment for uHCC. Forty-two patients received nivolumab 480 mg every 4 weeks and regorafenib 80 mg daily (3-weeks-on/1-week-off schedule). The primary endpoint was the investigator-assessed objective response rate (ORR) per Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1. The secondary endpoints included safety, progression-free survival (PFS) and overall survival (OS). ORR per RECIST version 1.1 was 31.0%, meeting the primary endpoint. The most common adverse events were palmar-plantar erythrodysesthesia syndrome (38.1%), alopecia (26.2%) and skin rash (23.8%). Median PFS was 7.38 months. The 1-year OS rate was 80.5%, and the median OS was not reached. Exploratory single-cell RNA sequencing analyses of peripheral blood mononuclear cells showed that long-term responders exhibited T cell receptor repertoire diversification, enrichment of genes representing immunotherapy responsiveness in MKI67+ proliferating CD8+ T cells and a higher probability of M1-directed monocyte polarization. Our data support further clinical development of the regorafenib-nivolumab combination as front-line treatment for uHCC and provide preliminary insights on immune biomarkers of response. ClinicalTrials.gov identifier: NCT04310709 .
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Affiliation(s)
- Hyung-Don Kim
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Seyoung Jung
- Genome Insight, Inc., San Diego, La Jolla, CA, USA
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Ho Yeong Lim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Baek-Yeol Ryoo
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Min-Hee Ryu
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Samuel Chuah
- Translational Immunology Institute, SingHealth-Duke-NUS Academic Medical Centre, Duke-NUS Medical School, Singapore, Singapore
| | - Hong Jae Chon
- Department of Medical Oncology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Beodeul Kang
- Department of Medical Oncology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Jung Yong Hong
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Han Chu Lee
- Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Deok-Bog Moon
- Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Ki-Hun Kim
- Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Tae Won Kim
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - David Tai
- Division of Medical Oncology, National Cancer Centre, Singapore, Singapore
| | - Valerie Chew
- Translational Immunology Institute, SingHealth-Duke-NUS Academic Medical Centre, Duke-NUS Medical School, Singapore, Singapore
| | - Jeong Seok Lee
- Genome Insight, Inc., San Diego, La Jolla, CA, USA
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Richard S Finn
- Division of Hematology-Oncology, Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | | | - Changhoon Yoo
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
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23
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Mun S, Lee HJ, Kim P. Rebuilding the microenvironment of primary tumors in humans: a focus on stroma. Exp Mol Med 2024; 56:527-548. [PMID: 38443595 PMCID: PMC10984944 DOI: 10.1038/s12276-024-01191-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 12/05/2023] [Accepted: 12/29/2023] [Indexed: 03/07/2024] Open
Abstract
Conventional tumor models have critical shortcomings in that they lack the complexity of the human stroma. The heterogeneous stroma is a central compartment of the tumor microenvironment (TME) that must be addressed in cancer research and precision medicine. To fully model the human tumor stroma, the deconstruction and reconstruction of tumor tissues have been suggested as new approaches for in vitro tumor modeling. In this review, we summarize the heterogeneity of tumor-associated stromal cells and general deconstruction approaches used to isolate patient-specific stromal cells from tumor tissue; we also address the effect of the deconstruction procedure on the characteristics of primary cells. Finally, perspectives on the future of reconstructed tumor models are discussed, with an emphasis on the essential prerequisites for developing authentic humanized tumor models.
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Affiliation(s)
- Siwon Mun
- Department of Bio and Brain Engineering, KAIST, Daejeon, 34141, South Korea
| | - Hyun Jin Lee
- Department of Bio and Brain Engineering, KAIST, Daejeon, 34141, South Korea
| | - Pilnam Kim
- Department of Bio and Brain Engineering, KAIST, Daejeon, 34141, South Korea.
- Institute for Health Science and Technology, KAIST, Daejeon, 34141, South Korea.
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24
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Tong M, Luo S, Gu L, Wang X, Zhang Z, Liang C, Huang H, Lin Y, Huang J. SIMarker: Cellular similarity detection and its application to diagnosis and prognosis of liver cancer. Comput Biol Med 2024; 171:108113. [PMID: 38368754 DOI: 10.1016/j.compbiomed.2024.108113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 01/09/2024] [Accepted: 02/04/2024] [Indexed: 02/20/2024]
Abstract
BACKGROUND The emergence of single-cell technology offers a unique opportunity to explore cellular similarity and heterogeneity between precancerous diseases and solid tumors. However, there is lacking a systematic study for identifying and characterizing similarities at single-cell resolution. METHODS We developed SIMarker, a computational framework to detect cellular similarities between precancerous diseases and solid tumors based on gene expression at single-cell resolution. Taking hepatocellular carcinoma (HCC) as a case study, we quantified the cellular and molecular connections between HCC and cirrhosis. Core analysis modules of SIMarker is publicly available at https://github.com/xmuhuanglab/SIMarker ("SIM" means "similarity" and "Marker" means "biomarkers). RESULTS We found PGA5+ hepatocytes in HCC showed cirrhosis-like characteristics, including similar transcriptional programs and gene regulatory networks. Consequently, the genes constituting the gene expression program of these cirrhosis-like subpopulations were designated as cirrhosis-like signatures (CLS). Strikingly, our utilization of CLS enabled the development of diagnosis and prognosis biomarkers based on within-sample relative expression orderings of gene pairs. These biomarkers achieved high precision and concordance compared with previous studies. CONCLUSIONS Our work provides a systematic method to investigate the clinical translational significance of cellular similarities between HCC and cirrhosis, which opens avenues for identifying similar paradigms in other categories of cancers and diseases.
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Affiliation(s)
- Mengsha Tong
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian 361102, China; National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, 316005, China.
| | - Shijie Luo
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian 361102, China; National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, 316005, China
| | - Lin Gu
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Xinkang Wang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian 361102, China; National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, 316005, China
| | - Zheyang Zhang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian 361102, China; National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, 316005, China
| | - Chenyu Liang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian 361102, China; National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, 316005, China
| | - Huaqiang Huang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Yuxiang Lin
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, 316005, China
| | - Jialiang Huang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian 361102, China; National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian, 316005, China.
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25
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Glancy E, Choy N, Eckersley-Maslin MA. Bivalent chromatin: a developmental balancing act tipped in cancer. Biochem Soc Trans 2024; 52:217-229. [PMID: 38385532 PMCID: PMC10903468 DOI: 10.1042/bst20230426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 02/05/2024] [Accepted: 02/07/2024] [Indexed: 02/23/2024]
Abstract
Bivalent chromatin is defined by the co-occurrence of otherwise opposing H3K4me3 and H3K27me3 modifications and is typically located at unmethylated promoters of lowly transcribed genes. In embryonic stem cells, bivalent chromatin has been proposed to poise developmental genes for future activation, silencing or stable repression upon lineage commitment. Normally, bivalent chromatin is kept in tight balance in cells, in part through the activity of the MLL/COMPASS-like and Polycomb repressive complexes that deposit the H3K4me3 and H3K27me3 modifications, respectively, but also emerging novel regulators including DPPA2/4, QSER1, BEND3, TET1 and METTL14. In cancers, both the deregulation of existing domains and the creation of de novo bivalent states is associated with either the activation or silencing of transcriptional programmes. This may facilitate diverse aspects of cancer pathology including epithelial-to-mesenchymal plasticity, chemoresistance and immune evasion. Here, we review current methods for detecting bivalent chromatin and discuss the factors involved in the formation and fine-tuning of bivalent domains. Finally, we examine how the deregulation of chromatin bivalency in the context of cancer could facilitate and/or reflect cancer cell adaptation. We propose a model in which bivalent chromatin represents a dynamic balance between otherwise opposing states, where the underlying DNA sequence is primed for the future activation or repression. Shifting this balance in any direction disrupts the tight equilibrium and tips cells into an altered epigenetic and phenotypic space, facilitating both developmental and cancer processes.
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Affiliation(s)
- Eleanor Glancy
- Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Natalie Choy
- Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Melanie A. Eckersley-Maslin
- Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria 3010, Australia
- Department of Anatomy and Physiology, The University of Melbourne, Melbourne, Victoria 3010, Australia
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26
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Giraud J, Chalopin D, Ramel E, Boyer T, Zouine A, Derieppe MA, Larmonier N, Adotevi O, Le Bail B, Blanc JF, Laurent C, Chiche L, Derive M, Nikolski M, Saleh M. THBS1 + myeloid cells expand in SLD hepatocellular carcinoma and contribute to immunosuppression and unfavorable prognosis through TREM1. Cell Rep 2024; 43:113773. [PMID: 38350444 DOI: 10.1016/j.celrep.2024.113773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 11/05/2023] [Accepted: 01/25/2024] [Indexed: 02/15/2024] Open
Abstract
Hepatocellular carcinoma (HCC) is an inflammation-associated cancer arising from viral or non-viral etiologies including steatotic liver diseases (SLDs). Expansion of immunosuppressive myeloid cells is a hallmark of inflammation and cancer, but their heterogeneity in HCC is not fully resolved and might underlie immunotherapy resistance. Here, we present a high-resolution atlas of innate immune cells from patients with HCC that unravels an SLD-associated contexture characterized by influx of inflammatory and immunosuppressive myeloid cells, including a discrete population of THBS1+ regulatory myeloid (Mreg) cells expressing monocyte- and neutrophil-affiliated genes. THBS1+ Mreg cells expand in SLD-associated HCC, populate fibrotic lesions, and are associated with poor prognosis. THBS1+ Mreg cells are CD163+ but distinguished from macrophages by high expression of triggering receptor expressed on myeloid cells 1 (TREM1), which contributes to their immunosuppressive activity and promotes HCC tumor growth in vivo. Our data support myeloid subset-targeted immunotherapies to treat HCC.
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Affiliation(s)
- Julie Giraud
- University of Bordeaux, CNRS, ImmunoConcEpT, UMR 5164, 33000 Bordeaux, France
| | - Domitille Chalopin
- University of Bordeaux, CNRS, ImmunoConcEpT, UMR 5164, 33000 Bordeaux, France; University of Bordeaux, CNRS, IBGC, UMR 5095, 33000 Bordeaux, France
| | - Eloïse Ramel
- University of Bordeaux, CNRS, ImmunoConcEpT, UMR 5164, 33000 Bordeaux, France
| | - Thomas Boyer
- University of Bordeaux, CNRS, ImmunoConcEpT, UMR 5164, 33000 Bordeaux, France
| | - Atika Zouine
- Bordeaux University, CNRS UMS3427, INSERM US05, Flow Cytometry Facility, TransBioMed Core, 33000 Bordeaux, France
| | | | - Nicolas Larmonier
- University of Bordeaux, CNRS, ImmunoConcEpT, UMR 5164, 33000 Bordeaux, France
| | - Olivier Adotevi
- Université Bourgogne Franche-Comté, INSERM, UMR1098, 25000 Besançon, France
| | - Brigitte Le Bail
- Bordeaux University Hospital, Division of Pathology, Pellegrin Hospital, 33000 Bordeaux, France
| | - Jean-Frédéric Blanc
- University of Bordeaux Hospital, Division of Gastrohepatology and Oncology, Haut Leveque Hospital, 33604 Pessac, France
| | - Christophe Laurent
- University of Bordeaux Hospital, Division of Gastrohepatology and Oncology, Haut Leveque Hospital, 33604 Pessac, France
| | - Laurence Chiche
- University of Bordeaux Hospital, Division of Gastrohepatology and Oncology, Haut Leveque Hospital, 33604 Pessac, France
| | | | - Macha Nikolski
- University of Bordeaux, CNRS, IBGC, UMR 5095, 33000 Bordeaux, France
| | - Maya Saleh
- University of Bordeaux, CNRS, ImmunoConcEpT, UMR 5164, 33000 Bordeaux, France; Institut National de la Recherche Scientifique (INRS), Armand Frappier Health & Biotechnology (AFSB) Research Center, Laval, QC H7V 1B7, Canada.
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27
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Narmada BC, Khakpoor A, Shirgaonkar N, Narayanan S, Kim Aw PP, Singh M, Ong KH, Owino CO, Ting Ng JW, Yew HC, Binte Mohamed Nasir NS, Au VB, Sng R, Kaliaperumal N, Toe Wai Khine HH, Casuscelli di Tocco F, Masayuki O, Naikar S, Ng HX, Chia SL, Yi Seah CX, Alnawaz MH, Lee Yoon Wai C, Ling Tay AY, Singh MK, Chew V, Yu W, Connolly JE, Periyasamy G, Plissonnier ML, Levrero M, Lim SG, DasGupta R. Single cell landscape of functionally cured chronic hepatitis B patients reveals activation of innate and altered CD4-CTL-driven adaptive immunity. J Hepatol 2024:S0168-8278(24)00137-5. [PMID: 38423478 DOI: 10.1016/j.jhep.2024.02.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 02/05/2024] [Accepted: 02/15/2024] [Indexed: 03/02/2024]
Abstract
BACKGROUND & AIMS Hepatitis B surface antigen (HBsAg) loss or functional cure (FC), is considered the desirable therapeutic outcome for chronic hepatitis B (CHB) patients. However, the immune-pathological biomarkers and underlying mechanisms remain unclear. In this study we comprehensively interrogate disease-associated cell states (DACS) identified within intra-hepatic tissue and matched PBMCs from either CHB or FC patients, at the resolution of single cells, to provide novel insights into putative mechanisms underlying FC. METHODS We combined single cell transcriptomics (scRNA-seq) with multiparametric flow cytometry-based immune phenotyping, and multiplexed immunofluorescence to elucidate the immunopathological cell states associated with CHB vs FC. RESULTS We find that the intra-hepatic environment of CHB and FC patients displays specific cell identities and molecular signatures that are distinct from those found in matched PBMCs. FC is associated with emergence of an altered adaptive immune response marked by CD4 cytotoxic T lymphocytes (CD4-CTLs), and an activated innate response represented by liver-resident natural killer (LR-NK) cells, specific Kupffer cell (KC) subtypes and marginated neutrophils. Surprisingly, we find that FC patients are also characterized by the presence of MHC class II-expressing hepatocytes and low but persistent levels of cccDNA and pgRNA, which may play an important role in achieving functional cure in HBV patients. CONCLUSIONS Our study provides conceptually novel insights into the immuno-pathological control of HBV cure, and opens exciting new avenues for clinical management, biomarker discovery and therapeutic interventions. We believe that the discoveries from this study, as it relates to the activation of an innate and altered immune response that may facilitate sustained, low-grade inflammation, may have broader implications in the resolution of chronic viral hepatitis.
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Affiliation(s)
- Balakrishnan Chakrapani Narmada
- Laboratory of Precision Medicine and Cancer Evolution, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), 60 Biopolis St., #02-01 Genome, Singapore 138672; Experimental Drug Development Centre, A*STAR, 10 Biopolis Way, Chromos, Singapore 138670, Singapore
| | - Atefeh Khakpoor
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Niranjan Shirgaonkar
- Laboratory of Precision Medicine and Cancer Evolution, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), 60 Biopolis St., #02-01 Genome, Singapore 138672
| | - Sriram Narayanan
- Institute of Molecular and Cell Biology, A*STAR, 61 Biopolis Drive, Proteos, Singapore, 138673, Singapore
| | - Pauline Poh Kim Aw
- Laboratory of Precision Medicine and Cancer Evolution, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), 60 Biopolis St., #02-01 Genome, Singapore 138672
| | - Malay Singh
- Bioinformatics Institute, A*STAR, 30 Biopolis Street, Matrix, Singapore 138671, Singapore
| | - Kok Haur Ong
- Bioinformatics Institute, A*STAR, 30 Biopolis Street, Matrix, Singapore 138671, Singapore
| | - Collins Oduor Owino
- Laboratory of Precision Medicine and Cancer Evolution, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), 60 Biopolis St., #02-01 Genome, Singapore 138672; Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jane Wei Ting Ng
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Hui Chuing Yew
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | - Veonice Bijin Au
- Institute of Molecular and Cell Biology, A*STAR, 61 Biopolis Drive, Proteos, Singapore, 138673, Singapore
| | - Reina Sng
- Institute of Molecular and Cell Biology, A*STAR, 61 Biopolis Drive, Proteos, Singapore, 138673, Singapore
| | - Nivashini Kaliaperumal
- Institute of Molecular and Cell Biology, A*STAR, 61 Biopolis Drive, Proteos, Singapore, 138673, Singapore
| | - Htet Htet Toe Wai Khine
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | - Otsuka Masayuki
- Translational Immunology Institute (TII), SingHealth-DukeNUS Academic Medical Centre, Singapore 169856, Singapore
| | - Shamita Naikar
- Translational Immunology Institute (TII), SingHealth-DukeNUS Academic Medical Centre, Singapore 169856, Singapore
| | - Hui Xin Ng
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Su Li Chia
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | - Myra Hj Alnawaz
- Department of Medicine, National University Hospital, Singapore
| | - Chris Lee Yoon Wai
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Amy Yuh Ling Tay
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Mangat Kamarjit Singh
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Valerie Chew
- Translational Immunology Institute (TII), SingHealth-DukeNUS Academic Medical Centre, Singapore 169856, Singapore
| | - Weimiao Yu
- Institute of Molecular and Cell Biology, A*STAR, 61 Biopolis Drive, Proteos, Singapore, 138673, Singapore; Bioinformatics Institute, A*STAR, 30 Biopolis Street, Matrix, Singapore 138671, Singapore
| | - John Edward Connolly
- Institute of Molecular and Cell Biology, A*STAR, 61 Biopolis Drive, Proteos, Singapore, 138673, Singapore; Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Institute of Biomedical Studies, Baylor University, Waco, TX, USA; Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Giridharan Periyasamy
- Experimental Drug Development Centre, A*STAR, 10 Biopolis Way, Chromos, Singapore 138670, Singapore
| | | | - Massimo Levrero
- Cancer Research Center of Lyon (CRCL), INSERM U1052, CNRS UMR5286, Lyon, France; Department of Hepatology, Hôpital Croix-Rousse, Hospices Civils de Lyon, Lyon, France; University of Lyon Claude Bernard 1 (UCLB1), Lyon, France; Department of Medicine SCIAC and the Italian Institute of Technology (IIT) Center for Life Nanosciences (CLNS), University of Rome La Sapienza, Rome, Italy
| | - Seng Gee Lim
- Institute of Molecular and Cell Biology, A*STAR, 61 Biopolis Drive, Proteos, Singapore, 138673, Singapore; Department of Medicine, National University Hospital, Singapore; Division of Gastroenterology and Hepatology, National University Hospital, National University Health System, Singapore
| | - Ramanuj DasGupta
- Laboratory of Precision Medicine and Cancer Evolution, Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), 60 Biopolis St., #02-01 Genome, Singapore 138672.
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28
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Wang S, Wang R, Hu D, Zhang C, Cao P, Huang J. Machine learning reveals diverse cell death patterns in lung adenocarcinoma prognosis and therapy. NPJ Precis Oncol 2024; 8:49. [PMID: 38409471 PMCID: PMC10897292 DOI: 10.1038/s41698-024-00538-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 02/08/2024] [Indexed: 02/28/2024] Open
Abstract
Cancer cell growth, metastasis, and drug resistance pose significant challenges in the management of lung adenocarcinoma (LUAD). However, there is a deficiency in optimal predictive models capable of accurately forecasting patient prognoses and guiding the selection of targeted treatments. Programmed cell death (PCD) pathways play a pivotal role in the development and progression of various cancers, offering potential as prognostic indicators and drug sensitivity markers for LUAD patients. The development and validation of predictive models were conducted by integrating 13 PCD patterns with comprehensive analysis of bulk RNA, single-cell RNA transcriptomics, and pertinent clinicopathological details derived from TCGA-LUAD and six GEO datasets. Utilizing the machine learning algorithms, we identified ten critical differentially expressed genes associated with PCD in LUAD, namely CHEK2, KRT18, RRM2, GAPDH, MMP1, CHRNA5, TMPRSS4, ITGB4, CD79A, and CTLA4. Subsequently, we conducted a programmed cell death index (PCDI) based on these genes across the aforementioned cohorts and integrated this index with relevant clinical features to develop several prognostic nomograms. Furthermore, we observed a significant correlation between the PCDI and immune features in LUAD, including immune cell infiltration and the expression of immune checkpoint molecules. Additionally, we found that patients with a high PCDI score may exhibit resistance to immunotherapy and standard adjuvant chemotherapy regimens; however, they may benefit from other FDA-supported drugs such as docetaxel and dasatinib. In conclusion, the PCDI holds potential as a prognostic signature and can facilitate personalized treatment for LUAD patients.
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Affiliation(s)
- Shun Wang
- Department of Respiratory Medicine, Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Fudan University, Shanghai, 200031, China
| | - Ruohuang Wang
- Department of Otolaryngology, the Second Affiliated Hospital of the Naval Military Medical University (Shanghai Changzheng Hospital), Shanghai, 200003, China
| | - Dingtao Hu
- Clinical Cancer Institute, Center for Translational Medicine, Naval Medical University, Shanghai, 200433, China
| | - Caoxu Zhang
- Department of Molecular Diagnostics, The Core Laboratory in Medical Center of Clinical Research, Department of Endocrinology, Shanghai Ninth People's Hospital, State Key Laboratory of Medical Genomics, Shanghai Jiaotong University School of Medicine, Shanghai, 200011, China
| | - Peng Cao
- Department of Interventional Pulmonology, Anhui Chest Hospital, Hefei, Anhui, 230022, China
| | - Jie Huang
- Department of Respiratory Medicine, Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Fudan University, Shanghai, 200031, China.
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29
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Kvedaraite E, Lourda M, Mouratidou N, Düking T, Padhi A, Moll K, Czarnewski P, Sinha I, Xagoraris I, Kokkinou E, Damdimopoulos A, Weigel W, Hartwig O, Santos TE, Soini T, Van Acker A, Rahkonen N, Flodström Tullberg M, Ringqvist E, Buggert M, Jorns C, Lindforss U, Nordenvall C, Stamper CT, Unnersjö-Jess D, Akber M, Nadisauskaite R, Jansson J, Vandamme N, Sorini C, Grundeken ME, Rolandsdotter H, Rassidakis G, Villablanca EJ, Ideström M, Eulitz S, Arnell H, Mjösberg J, Henter JI, Svensson M. Intestinal stroma guides monocyte differentiation to macrophages through GM-CSF. Nat Commun 2024; 15:1752. [PMID: 38409190 PMCID: PMC10897309 DOI: 10.1038/s41467-024-46076-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 02/09/2024] [Indexed: 02/28/2024] Open
Abstract
Stromal cells support epithelial cell and immune cell homeostasis and play an important role in inflammatory bowel disease (IBD) pathogenesis. Here, we quantify the stromal response to inflammation in pediatric IBD and reveal subset-specific inflammatory responses across colon segments and intestinal layers. Using data from a murine dynamic gut injury model and human ex vivo transcriptomic, protein and spatial analyses, we report that PDGFRA+CD142-/low fibroblasts and monocytes/macrophages co-localize in the intestine. In primary human fibroblast-monocyte co-cultures, intestinal PDGFRA+CD142-/low fibroblasts foster monocyte transition to CCR2+CD206+ macrophages through granulocyte-macrophage colony-stimulating factor (GM-CSF). Monocyte-derived CCR2+CD206+ cells from co-cultures have a phenotype similar to intestinal CCR2+CD206+ macrophages from newly diagnosed pediatric IBD patients, with high levels of PD-L1 and low levels of GM-CSF receptor. The study describes subset-specific changes in stromal responses to inflammation and suggests that the intestinal stroma guides intestinal macrophage differentiation.
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Affiliation(s)
- Egle Kvedaraite
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
- Childhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
- Department of Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden.
| | - Magda Lourda
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
- Childhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Natalia Mouratidou
- Pediatric Gastroenterology, Hepatology and Nutrition Unit, Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Tim Düking
- Miltenyi Biotec B.V. & Co. KG, Bergisch Gladbach, Germany
| | - Avinash Padhi
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
- Dermatology and Venereology Section, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Division of Clinical Immunology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Kirsten Moll
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Paulo Czarnewski
- Science for Life Laboratory, Department of Biochemistry and Biophysics and National Bioinformatics Infrastructure Sweden, Stockholm University, Solna, Sweden
| | - Indranil Sinha
- Childhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Ioanna Xagoraris
- Department of Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Efthymia Kokkinou
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Anastasios Damdimopoulos
- Bioinformatics and Expression Analysis Core Facility, Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
| | - Whitney Weigel
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Olga Hartwig
- Miltenyi Biotec B.V. & Co. KG, Bergisch Gladbach, Germany
| | - Telma E Santos
- Miltenyi Biotec B.V. & Co. KG, Bergisch Gladbach, Germany
| | - Tea Soini
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Aline Van Acker
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
- Tech Watch, Flanders Institute for Biotechnology, Ghent, Belgium
| | - Nelly Rahkonen
- Integrated Cardio Metabolic Centre, Department of Medicine Huddinge, Karolinska Institutet, Huddinge, Sweden
| | - Malin Flodström Tullberg
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Emma Ringqvist
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Marcus Buggert
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Carl Jorns
- Department of Transplantation Surgery, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
| | - Ulrik Lindforss
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Pelvic Cancer, GI Oncology and Colorectal Surgery Unit, Karolinska University Hospital, Stockholm, Sweden
| | - Caroline Nordenvall
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Pelvic Cancer, GI Oncology and Colorectal Surgery Unit, Karolinska University Hospital, Stockholm, Sweden
| | - Christopher T Stamper
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - David Unnersjö-Jess
- Science for Life Laboratory, Dept. of Applied Physics, Royal Institute of Technology, Solna, Sweden
| | - Mira Akber
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Ruta Nadisauskaite
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Jessica Jansson
- Pediatric Gastroenterology, Hepatology and Nutrition Unit, Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - Niels Vandamme
- VIB Single Cell Core, VIB, Ghent, Belgium
- VIB-UGent Center for Inflammation Research, 9052, Ghent, Belgium
| | - Chiara Sorini
- Immunology and Allergy Unit, Department of Medicine, Solna, Karolinska Institutet and University Hospital, Stockholm, Sweden
| | - Marijke Elise Grundeken
- Division of Clinical Immunology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Helena Rolandsdotter
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
- Sachs' Children and Youth Hospital, Department of Gastroenterology, Södersjukhuset, Stockholm, Sweden
| | - George Rassidakis
- Department of Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Eduardo J Villablanca
- Immunology and Allergy Unit, Department of Medicine, Solna, Karolinska Institutet and University Hospital, Stockholm, Sweden
| | - Maja Ideström
- Pediatric Gastroenterology, Hepatology and Nutrition Unit, Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Stefan Eulitz
- Miltenyi Biotec B.V. & Co. KG, Bergisch Gladbach, Germany
| | - Henrik Arnell
- Pediatric Gastroenterology, Hepatology and Nutrition Unit, Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Jenny Mjösberg
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Jan-Inge Henter
- Childhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
- Theme of Children's Health, Karolinska University Hospital, Stockholm, Sweden
| | - Mattias Svensson
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
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30
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Wang L, Guo W, Guo Z, Yu J, Tan J, Simons DL, Hu K, Liu X, Zhou Q, Zheng Y, Colt EA, Yim J, Waisman J, Lee PP. PD-L1-expressing tumor-associated macrophages are immunostimulatory and associate with good clinical outcome in human breast cancer. Cell Rep Med 2024; 5:101420. [PMID: 38382468 PMCID: PMC10897617 DOI: 10.1016/j.xcrm.2024.101420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 12/09/2023] [Accepted: 01/18/2024] [Indexed: 02/23/2024]
Abstract
Tumor-associated macrophages (TAMs) are the predominant cells that express programmed cell death ligand 1 (PD-L1) within human tumors in addition to cancer cells, and PD-L1+ TAMs are generally thought to be immunosuppressive within the tumor immune microenvironment (TIME). Using single-cell transcriptomic and spatial multiplex immunofluorescence analyses, we show that PD-L1+ TAMs are mature and immunostimulatory with spatial preference to T cells. In contrast, PD-L1- TAMs are immunosuppressive and spatially co-localize with cancer cells. Either higher density of PD-L1+ TAMs alone or ratio of PD-L1+/PD-L1- TAMs correlate with favorable clinical outcome in two independent cohorts of patients with breast cancer. Mechanistically, we show that PD-L1 is upregulated during the monocyte-to-macrophage maturation and differentiation process and does not require external IFN-γ stimulus. Functionally, PD-L1+ TAMs are more mature/activated and promote CD8+ T cells proliferation and cytotoxic capacity. Together, our findings reveal insights into the immunological significance of PD-L1 within the TIME.
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Affiliation(s)
- Lei Wang
- International Cancer Center, Shenzhen University Medical School, Shenzhen, Guangdong 518055, China.
| | - Weihua Guo
- Department of Immuno-Oncology, Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
| | - Zhikun Guo
- International Cancer Center, Shenzhen University Medical School, Shenzhen, Guangdong 518055, China
| | - Jiangnan Yu
- International Cancer Center, Shenzhen University Medical School, Shenzhen, Guangdong 518055, China
| | - Jiayi Tan
- Department of Immuno-Oncology, Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
| | - Diana L Simons
- Department of Immuno-Oncology, Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
| | - Ke Hu
- Department of Hematology-Oncology, International Cancer Center, Shenzhen University General Hospital, Shenzhen University Medical School, Shenzhen, Guangdong 518055, China
| | - Xinyu Liu
- International Cancer Center, Shenzhen University Medical School, Shenzhen, Guangdong 518055, China
| | - Qian Zhou
- International Cancer Center, Shenzhen University Medical School, Shenzhen, Guangdong 518055, China
| | - Yizi Zheng
- Department of Thyroid and Breast Surgery, Shenzhen Second People's Hospital/First Affiliated Hospital of Shenzhen University Medical School, Shenzhen, Guangdong 518035, China
| | - Egelston A Colt
- Department of Immuno-Oncology, Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
| | - John Yim
- Department of Surgery, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
| | - James Waisman
- Department of Medical Oncology, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
| | - Peter P Lee
- Department of Immuno-Oncology, Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA.
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Bao X, Li Q, Chen D, Dai X, Liu C, Tian W, Zhang H, Jin Y, Wang Y, Cheng J, Lai C, Ye C, Xin S, Li X, Su G, Ding Y, Xiong Y, Xie J, Tano V, Wang Y, Fu W, Deng S, Fang W, Sheng J, Ruan J, Zhao P. A multiomics analysis-assisted deep learning model identifies a macrophage-oriented module as a potential therapeutic target in colorectal cancer. Cell Rep Med 2024; 5:101399. [PMID: 38307032 PMCID: PMC10897549 DOI: 10.1016/j.xcrm.2024.101399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 01/02/2024] [Accepted: 01/08/2024] [Indexed: 02/04/2024]
Abstract
Colorectal cancer (CRC) is a common malignancy involving multiple cellular components. The CRC tumor microenvironment (TME) has been characterized well at single-cell resolution. However, a spatial interaction map of the CRC TME is still elusive. Here, we integrate multiomics analyses and establish a spatial interaction map to improve the prognosis, prediction, and therapeutic development for CRC. We construct a CRC immune module (CCIM) that comprises FOLR2+ macrophages, exhausted CD8+ T cells, tolerant CD8+ T cells, exhausted CD4+ T cells, and regulatory T cells. Multiplex immunohistochemistry is performed to depict the CCIM. Based on this, we utilize advanced deep learning technology to establish a spatial interaction map and predict chemotherapy response. CCIM-Net is constructed, which demonstrates good predictive performance for chemotherapy response in both the training and testing cohorts. Lastly, targeting FOLR2+ macrophage therapeutics is used to disrupt the immunosuppressive CCIM and enhance the chemotherapy response in vivo.
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Affiliation(s)
- Xuanwen Bao
- Department of Medical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province 310003, China.
| | - Qiong Li
- Department of Medical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province 310003, China
| | - Dong Chen
- Department of Colorectal Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province 310003, China
| | - Xiaomeng Dai
- Department of Medical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province 310003, China
| | - Chuan Liu
- Department of Medical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province 310003, China
| | - Weihong Tian
- Department of Immunology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu 212013, China
| | - Hangyu Zhang
- Department of Medical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province 310003, China
| | - Yuzhi Jin
- Department of Medical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province 310003, China
| | - Yin Wang
- College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang Province 310003, China
| | - Jinlin Cheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province 310003, China
| | - Chunyu Lai
- Department of Medical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province 310003, China
| | - Chanqi Ye
- Department of Medical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province 310003, China
| | - Shan Xin
- Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA
| | - Xin Li
- Department of Chronic Inflammation and Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Ge Su
- College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang Province 310003, China
| | - Yongfeng Ding
- Department of Medical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province 310003, China
| | - Yangyang Xiong
- Department of Gastroenterology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province 310003, China
| | - Jindong Xie
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - Vincent Tano
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 637551, Republic of Singapore
| | - Yanfang Wang
- Ludwig-Maximilians-Universität München (LMU), 80539 Munich, Germany
| | - Wenguang Fu
- Department of Hepatobiliary Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province 646000, China
| | - Shuiguang Deng
- College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang Province 310003, China
| | - Weijia Fang
- Department of Medical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province 310003, China
| | - Jianpeng Sheng
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province 310003, China.
| | - Jian Ruan
- Department of Medical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province 310003, China; Department of Hepatobiliary Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province 646000, China.
| | - Peng Zhao
- Department of Medical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province 310003, China.
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Chew V, Chuang CH, Hsu C. Translational research on drug development and biomarker discovery for hepatocellular carcinoma. J Biomed Sci 2024; 31:22. [PMID: 38368324 PMCID: PMC10874078 DOI: 10.1186/s12929-024-01011-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Accepted: 02/10/2024] [Indexed: 02/19/2024] Open
Abstract
Translational research plays a key role in drug development and biomarker discovery for hepatocellular carcinoma (HCC). However, unique challenges exist in this field because of the limited availability of human tumor samples from surgery, the lack of homogenous oncogenic driver mutations, and the paucity of adequate experimental models. In this review, we provide insights into these challenges and review recent advancements, with a particular focus on the two main agents currently used as mainstream therapies for HCC: anti-angiogenic agents and immunotherapy. First, we examine the pre-clinical and clinical studies to highlight the challenges of determining the optimal therapeutic combinations with biologically effective dosage for HCC. Second, we discuss biomarker studies focusing on anti-PD1/anti-PD-L1-based combination therapy. Finally, we discuss the progress made in our collective understanding of tumor immunology and in multi-omics analysis technology, which enhance our understanding of the mechanisms underlying immunotherapy, characterize different patient subgroups, and facilitate the development of novel combination approaches to improve treatment efficacy. In summary, this review provides a comprehensive overview of efforts in translational research aiming at advancing our understanding of and improving the treatment of HCC.
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Affiliation(s)
- Valerie Chew
- Translational Immunology Institute, SingHealth-DukeNUS Academic Medical Centre, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Chien-Huai Chuang
- Department of Medical Oncology, National Taiwan University Cancer Center, Taipei, Taiwan
| | - Chiun Hsu
- Department of Medical Oncology, National Taiwan University Cancer Center, Taipei, Taiwan.
- Graduate Institute of Oncology, National Taiwan University College of Medicine, Taipei, Taiwan.
- Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan.
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Zhou C, Lu Z, Sun B, Yi Y, Zhang B, Wang Z, Qiu SJ. Peripheral Lymphocytes in Primary Liver Cancers: Elevated NK and CD8+ T Cells and Dysregulated Selenium Metabolism. Biomolecules 2024; 14:222. [PMID: 38397459 PMCID: PMC10886987 DOI: 10.3390/biom14020222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 02/08/2024] [Accepted: 02/10/2024] [Indexed: 02/25/2024] Open
Abstract
Peripheral blood lymphocytes (PBLs), which play a pivotal role in orchestrating the immune system, garner minimal attention in hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC). The impact of primary liver cancers on PBLs remains unexplored. In this study, flow cytometry facilitated the quantification of cell populations, while transcriptome of PBLs was executed utilizing 10× single-cell sequencing technology. Additionally, pertinent cases were curated from the GEO database. Subsequent bioinformatics and statistical analyses were conducted utilizing R (4.2.1) software. Elevated counts of NK cells and CD8+ T cells were observed in both ICC and HCC when compared to benign liver disease (BLD). In the multivariate Cox model, NK cells and CD8+ T cells emerged as independent risk factors for recurrence-free survival. Single-cell sequencing of PBLs uncovered the downregulation of TGFβ signaling in tumor-derived CD8+ T cells. Pathway enrichment analysis, based on differential expression profiling, highlighted aberrations in selenium metabolism. Proteomic analysis of preoperative and postoperative peripheral blood samples from patients undergoing tumor resection revealed a significant upregulation of SELENBP1 and a significant downregulation of SEPP1. Primary liver cancer has a definite impact on PBLs, manifested by alterations in cellular quantities and selenoprotein metabolism.
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Affiliation(s)
- Cheng Zhou
- Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China; (C.Z.); (B.S.)
| | - Zhufeng Lu
- Department of Anesthesia, Zhongshan Hospital, Fudan University, Shanghai 200032, China;
| | - Baoye Sun
- Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China; (C.Z.); (B.S.)
| | - Yong Yi
- Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China; (C.Z.); (B.S.)
| | - Boheng Zhang
- Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China; (C.Z.); (B.S.)
- Department of Hepatic Oncology, Xiamen Clinical Research Center for Cancer Therapy, Zhongshan Hospital, Fudan University (Xiamen Branch), Xiamen 361015, China
- Center for Evidence-Based Medicine, Shanghai Medical School, Fudan University, Shanghai 200032, China
| | - Zheng Wang
- Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China; (C.Z.); (B.S.)
| | - Shuang-Jian Qiu
- Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China; (C.Z.); (B.S.)
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Wang X, Zhang L, Dong B. Molecular mechanisms in MASLD/MASH-related HCC. Hepatology 2024:01515467-990000000-00739. [PMID: 38349726 DOI: 10.1097/hep.0000000000000786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 01/16/2024] [Indexed: 03/23/2024]
Abstract
Liver cancer is the third leading cause of cancer-related deaths and ranks as the sixth most prevalent cancer type globally. NAFLD or metabolic dysfunction-associated steatotic liver disease, and its more severe manifestation, NASH or metabolic dysfunction-associated steatohepatitis (MASH), pose a significant global health concern, affecting approximately 20%-25% of the population. The increased prevalence of metabolic dysfunction-associated steatotic liver disease and MASH is parallel to the increasing rates of obesity-associated metabolic diseases, including type 2 diabetes, insulin resistance, and fatty liver diseases. MASH can progress to MASH-related HCC (MASH-HCC) in about 2% of cases each year, influenced by various factors such as genetic mutations, carcinogen exposure, immune microenvironment, and microbiome. MASH-HCC exhibits distinct molecular and immune characteristics compared to other causes of HCC and affects both men and women equally. The management of early to intermediate-stage MASH-HCC typically involves surgery and locoregional therapies, while advanced HCC is treated with systemic therapies, including anti-angiogenic therapies and immune checkpoint inhibitors. In this comprehensive review, we consolidate previous research findings while also providing the most current insights into the intricate molecular processes underlying MASH-HCC development. We delve into MASH-HCC-associated genetic variations and somatic mutations, disease progression and research models, multiomics analysis, immunological and microenvironmental impacts, and discuss targeted/combined therapies to overcome immune evasion and the biomarkers to recognize treatment responders. By furthering our comprehension of the molecular mechanisms underlying MASH-HCC, our goal is to catalyze the advancement of more potent treatment strategies, ultimately leading to enhanced patient outcomes.
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Affiliation(s)
- Xiaobo Wang
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Liang Zhang
- Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Bingning Dong
- Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
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35
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Zhang F, Huang B, Utturkar SM, Luo W, Cresswell G, Herr SA, Zheng S, Napoleon JV, Jiang R, Zhang B, Liu M, Lanman N, Srinivasarao M, Ratliff TL, Low PS. Tumor-specific activation of folate receptor beta enables reprogramming of immune cells in the tumor microenvironment. Front Immunol 2024; 15:1354735. [PMID: 38384467 PMCID: PMC10879311 DOI: 10.3389/fimmu.2024.1354735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 01/22/2024] [Indexed: 02/23/2024] Open
Abstract
Folate receptors can perform folate transport, cell adhesion, and/or transcription factor functions. The beta isoform of the folate receptor (FRβ) has attracted considerable attention as a biomarker for immunosuppressive macrophages and myeloid-derived suppressor cells, however, its role in immunosuppression remains uncharacterized. We demonstrate here that FRβ cannot bind folate on healthy tissue macrophages, but does bind folate after macrophage incubation in anti-inflammatory cytokines or cancer cell-conditioned media. We further show that FRβ becomes functionally active following macrophage infiltration into solid tumors, and we exploit this tumor-induced activation to target a toll-like receptor 7 agonist specifically to immunosuppressive myeloid cells in solid tumors without altering myeloid cells in healthy tissues. We then use single-cell RNA-seq to characterize the changes in gene expression induced by the targeted repolarization of tumor-associated macrophages and finally show that their repolarization not only changes their own phenotype, but also induces a proinflammatory shift in all other immune cells of the same tumor mass, leading to potent suppression of tumor growth. Because this selective reprogramming of tumor myeloid cells is accompanied by no systemic toxicity, we propose that it should constitute a safe method to reprogram the tumor microenvironment.
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Affiliation(s)
- Fenghua Zhang
- Department of Chemistry and Institute for Drug Discovery, Purdue University, West Lafayette, IN, United States
| | - Bo Huang
- Department of Chemistry and Institute for Drug Discovery, Purdue University, West Lafayette, IN, United States
| | - Sagar M. Utturkar
- Purdue University Institute for Cancer Research, Purdue University, West Lafayette, IN, United States
| | - Weichuan Luo
- Department of Chemistry and Institute for Drug Discovery, Purdue University, West Lafayette, IN, United States
| | - Gregory Cresswell
- Department of Comparative Pathobiology, Purdue University, West Lafayette, IN, United States
| | - Seth A. Herr
- Department of Chemistry and Institute for Drug Discovery, Purdue University, West Lafayette, IN, United States
| | - Suilan Zheng
- Department of Chemistry and Institute for Drug Discovery, Purdue University, West Lafayette, IN, United States
| | - John V. Napoleon
- Department of Chemistry and Institute for Drug Discovery, Purdue University, West Lafayette, IN, United States
| | - Rina Jiang
- Department of Chemistry and Institute for Drug Discovery, Purdue University, West Lafayette, IN, United States
| | - Boning Zhang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
| | - Muyi Liu
- University of North Texas Health Science Center at Fort Worth, Fort Worth, TX, United States
- Department of Computer Sciences, Purdue University, West Lafayette, IN, United States
| | - Nadia Lanman
- Purdue University Institute for Cancer Research, Purdue University, West Lafayette, IN, United States
- Department of Comparative Pathobiology, Purdue University, West Lafayette, IN, United States
| | - Madduri Srinivasarao
- Department of Chemistry and Institute for Drug Discovery, Purdue University, West Lafayette, IN, United States
| | - Timothy L. Ratliff
- Department of Comparative Pathobiology, Purdue University, West Lafayette, IN, United States
| | - Philip S. Low
- Department of Chemistry and Institute for Drug Discovery, Purdue University, West Lafayette, IN, United States
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Van Melkebeke L, Verbeek J, Bihary D, Boesch M, Boeckx B, Feio-Azevedo R, Smets L, Wallays M, Claus E, Bonne L, Maleux G, Govaere O, Korf H, Lambrechts D, van der Merwe S. Comparison of the single-cell and single-nucleus hepatic myeloid landscape within decompensated cirrhosis patients. Front Immunol 2024; 15:1346520. [PMID: 38380322 PMCID: PMC10878168 DOI: 10.3389/fimmu.2024.1346520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 01/22/2024] [Indexed: 02/22/2024] Open
Abstract
Background and aims A complete understanding of disease pathophysiology in advanced liver disease is hampered by the challenges posed by clinical specimen collection. Notably, in these patients, a transjugular liver biopsy (TJB) is the only safe way to obtain liver tissue. However, it remains unclear whether successful sequencing of this extremely small and fragile tissue can be achieved for downstream characterization of the hepatic landscape. Methods Here we leveraged in-house available single-cell RNA-sequencing (scRNA-seq) and single-nucleus (snRNA-seq) technologies and accompanying tissue processing protocols and performed an in-patient comparison on TJB's from decompensated cirrhosis patients (n = 3). Results We confirmed a high concordance between nuclear and whole cell transcriptomes and captured 31,410 single nuclei and 6,152 single cells, respectively. The two platforms revealed similar diversity since all 8 major cell types could be identified, albeit with different cellular proportions thereof. Most importantly, hepatocytes were most abundant in snRNA-seq, while lymphocyte frequencies were elevated in scRNA-seq. We next focused our attention on hepatic myeloid cells due to their key role in injury and repair during chronic liver disease. Comparison of their transcriptional signatures indicated that these were largely overlapping between the two platforms. However, the scRNA-seq platform failed to recover sufficient Kupffer cell numbers, and other monocytes/macrophages featured elevated expression of stress-related parameters. Conclusion Our results indicate that single-nucleus transcriptome sequencing provides an effective means to overcome complications associated with clinical specimen collection and could sufficiently profile all major hepatic cell types including all myeloid cell subsets.
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Affiliation(s)
- Lukas Van Melkebeke
- Laboratory of Hepatology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
- Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, Belgium
| | - Jef Verbeek
- Laboratory of Hepatology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
- Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, Belgium
| | - Dora Bihary
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
- VIB Center for Cancer Biology, Leuven, Belgium
| | - Markus Boesch
- Laboratory of Hepatology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Bram Boeckx
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
- VIB Center for Cancer Biology, Leuven, Belgium
| | - Rita Feio-Azevedo
- Laboratory of Hepatology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Lena Smets
- Laboratory of Hepatology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Marie Wallays
- Laboratory of Hepatology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Eveline Claus
- Department of Interventional Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Lawrence Bonne
- Department of Interventional Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Geert Maleux
- Department of Interventional Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Olivier Govaere
- Department of Imaging and Pathology, Translational Cell and Tissue Research, KU Leuven and University Hospitals Leuven, Leuven, Belgium
| | - Hannelie Korf
- Laboratory of Hepatology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Diether Lambrechts
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
- VIB Center for Cancer Biology, Leuven, Belgium
| | - Schalk van der Merwe
- Laboratory of Hepatology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
- Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, Belgium
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37
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Yang W, Liu S, Mao M, Gong Y, Li X, Lei T, Liu C, Wu S, Hu Q. T-cell infiltration and its regulatory mechanisms in cancers: insights at single-cell resolution. J Exp Clin Cancer Res 2024; 43:38. [PMID: 38303018 PMCID: PMC10835979 DOI: 10.1186/s13046-024-02960-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 01/19/2024] [Indexed: 02/03/2024] Open
Abstract
Tumor-infiltrating T cells recognize, attack, and clear tumor cells, playing a central role in antitumor immune response. However, certain immune cells can impair this response and help tumor immune escape. Therefore, exploring the factors that influence T-cell infiltration is crucial to understand tumor immunity and improve therapeutic effect of cancer immunotherapy. The use of single-cell RNA sequencing (scRNA-seq) allows the high-resolution analysis of the precise composition of immune cells with different phenotypes and other microenvironmental factors, including non-immune stromal cells and the related molecules in the tumor microenvironment of various cancer types. In this review, we summarized the research progress on T-cell infiltration and the crosstalk of other stromal cells and cytokines during T-cell infiltration using scRNA-seq to provide insights into the mechanisms regulating T-cell infiltration and contribute new perspectives on tumor immunotherapy.
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Affiliation(s)
- Wenhui Yang
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Shimao Liu
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Mengyun Mao
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Yandong Gong
- State Key Laboratory of Experimental Hematology, Senior Department of Hematology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, 100071, China
| | - Xiaohui Li
- Department of Medical Oncology, Peking University First Hospital, Beijing, 100034, China
| | - Tianyu Lei
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Chao Liu
- Department of Radiation Oncology, Peking University First Hospital, Beijing, 100034, China.
| | - Shikai Wu
- Department of Medical Oncology, Peking University First Hospital, Beijing, 100034, China.
| | - Qinyong Hu
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
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Jiang G, Hong J, Sun L, Wei H, Gong W, Wang S, Zhu J. Glycolysis regulation in tumor-associated macrophages: Its role in tumor development and cancer treatment. Int J Cancer 2024; 154:412-424. [PMID: 37688376 DOI: 10.1002/ijc.34711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 07/27/2023] [Accepted: 08/18/2023] [Indexed: 09/10/2023]
Abstract
Tumor-associated macrophages constitute the main cell population in the tumor microenvironment and play a crucial role in regulating the microenvironment composition. Emerging evidence has revealed that the metabolic profile determines the tumor-associated macrophage phenotype. Tumor-associated macrophage function is highly dependent on glucose metabolism, with glycolysis being the major metabolic pathway. Recent reports have demonstrated diversity in glucose flux of tumor-associated macrophages and complex substance communication with cancer cells. However, how the glucose flux in tumor-associated macrophages connects with glycolysis to influence tumor progression and the tumor microenvironment is still obscure. Moreover, while the development of single-cell sequencing technology allows a clearer and more accurate classification of tumor-associated macrophages, the metabolic profiles of tumor-associated macrophages from the perspective of single-cell omics has not been well summarized. Here, we review the current state of knowledge on glucose metabolism in tumor-associated macrophages and summarize the metabolic profiles of different tumor-associated macrophage subtypes from the perspective of single-cell omics. Additionally, we describe the current strategies targeting glycolysis in tumor-associated macrophages for cancer therapy.
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Affiliation(s)
- Guangyi Jiang
- Department of Gynecological Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Zhejiang, Hangzhou, China
| | - Junjie Hong
- Department of Gynecological Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Zhejiang, Hangzhou, China
| | - Lu Sun
- Department of Gynecological Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Zhejiang, Hangzhou, China
| | - Haibin Wei
- Department of Gynecological Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Zhejiang, Hangzhou, China
| | - Wangang Gong
- Department of Gynecological Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Zhejiang, Hangzhou, China
| | - Shu Wang
- Department of Gynecological Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Zhejiang, Hangzhou, China
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Jianqing Zhu
- Department of Gynecological Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Zhejiang, Hangzhou, China
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Wu J, Shen Y, Zeng G, Liang Y, Liao G. SPP1 + TAM subpopulations in tumor microenvironment promote intravasation and metastasis of head and neck squamous cell carcinoma. Cancer Gene Ther 2024; 31:311-321. [PMID: 38052857 DOI: 10.1038/s41417-023-00704-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Revised: 11/08/2023] [Accepted: 11/15/2023] [Indexed: 12/07/2023]
Abstract
Macrophages are heterogeneous cells that play multifaceted roles in cancer progression and metastasis. However, the phenotypic diversity of tumor-associated macrophages (TAMs) in head and neck squamous carcinomas (HNSCC) remains poorly characterized. Here, we comprehensively analyzed the HNSCC single-cell transcriptomic dataset (GSE172577) and identified 5 subsets of myeloid-driven cells as TAMs using Seurat. Deciphering the lineage trajectory of TAMs, we revealed that FCN1+ TAMs could give rise to pro-angiogenesis SPP1+CCL18+ and SPP1+FOLR2+ populations through SPP1-CCL18+ and CXCL9+CXCL10+ TAMs. SPP1+CCL18+ and SPP1+FOLR2+ TAMs harbored pro-angiogenic and metastatic transcriptional programs and were correlated with poor survival of HNSCC patients. Our immunostaining examination revealed that infiltration of SPP1+ TAMs is associated with lymph node metastasis and poor prognosis in patients with HNSCC. Cell-cell communication analysis implied that SPP1+ TAM populations may employ SPP1 signaling to activate metastasis-related ECs. In vitro and in vivo studies, we demonstrated that SPP1hi TAMs enhanced tumor intravasation and metastasis in HNSCC in a manner dependent on the secretion of SPP1, CCL18, and CXCL8. Taken together, our study characterized the cellular heterogeneity of TAM populations and identified two SPP1+ TAM populations that play key roles in HNSCC intravasation and metastasis and serve as predictive markers for patients with HNSCC.
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Affiliation(s)
- Jiashun Wu
- Hospital of Stomatology, Guanghua School of Stomatology, Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, China
| | - Yi Shen
- Hospital of Stomatology, Guanghua School of Stomatology, Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, China
| | - Guozhong Zeng
- Hospital of Stomatology, Guanghua School of Stomatology, Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, China
| | - Yujie Liang
- Hospital of Stomatology, Guanghua School of Stomatology, Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, China.
| | - Guiqing Liao
- Hospital of Stomatology, Guanghua School of Stomatology, Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, China.
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40
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Cao L, Meng X, Zhang Z, Liu Z, He Y. Macrophage heterogeneity and its interactions with stromal cells in tumour microenvironment. Cell Biosci 2024; 14:16. [PMID: 38303024 PMCID: PMC10832170 DOI: 10.1186/s13578-024-01201-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 01/22/2024] [Indexed: 02/03/2024] Open
Abstract
Macrophages and tumour stroma cells account for the main cellular components in the tumour microenvironment (TME). Current advancements in single-cell analysis have revolutionized our understanding of macrophage diversity and macrophage-stroma interactions. Accordingly, this review describes new insight into tumour-associated macrophage (TAM) heterogeneity in terms of tumour type, phenotype, metabolism, and spatial distribution and presents the association between these factors and TAM functional states. Meanwhile, we focus on the immunomodulatory feature of TAMs and highlight the tumour-promoting effect of macrophage-tumour stroma interactions in the immunosuppressive TME. Finally, we summarize recent studies investigating macrophage-targeted therapy and discuss their therapeutic potential in improving immunotherapy by alleviating immunosuppression.
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Affiliation(s)
- Liren Cao
- Department of Oral Maxillofacial & Head and Neck Oncology, National Clinical Research Center for Oral Disease, National Center of Stomatology, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Xiaoyan Meng
- Department of Oral Maxillofacial & Head and Neck Oncology, National Clinical Research Center for Oral Disease, National Center of Stomatology, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Zhiyuan Zhang
- Department of Oral Maxillofacial & Head and Neck Oncology, National Clinical Research Center for Oral Disease, National Center of Stomatology, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
| | - Zhonglong Liu
- Department of Oral Maxillofacial & Head and Neck Oncology, National Clinical Research Center for Oral Disease, National Center of Stomatology, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
| | - Yue He
- Department of Oral Maxillofacial & Head and Neck Oncology, National Clinical Research Center for Oral Disease, National Center of Stomatology, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
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41
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Yan S, Guo Y, Lin L, Zhang W. Breaks for Precision Medicine in Cancer: Development and Prospects of Spatiotemporal Transcriptomics. Cancer Biother Radiopharm 2024; 39:35-45. [PMID: 38181185 DOI: 10.1089/cbr.2023.0116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2024] Open
Abstract
With the development of the social economy and the deepening understanding of cancer, cancer has become a significant cause of death, threatening human health. Although researchers have made rapid progress in cancer treatment strategies in recent years, the overall survival of cancer patients is still not optimistic. Therefore, it is essential to reveal the spatial pattern of gene expression, spatial heterogeneity of cell populations, microenvironment interactions, and other aspects of cancer. Spatiotemporal transcriptomics can help analyze the mechanism of cancer occurrence and development, greatly help precise cancer treatment, and improve clinical prognosis. Here, we review the integration strategies of single-cell RNA sequencing and spatial transcriptomics data, summarize the recent advances in spatiotemporal transcriptomics in cancer studies, and discuss the combined application of spatial multiomics, which provides new directions and strategies for the precise treatment and clinical prognosis of cancer.
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Affiliation(s)
- Shiqi Yan
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha, Hunan, People's Republic of China
| | - Yilin Guo
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha, Hunan, People's Republic of China
| | - Lizhong Lin
- Department of Clinical Laboratory, The First People's Hospital of Changde City, Changde, Hunan, People's Republic of China
| | - Wenling Zhang
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha, Hunan, People's Republic of China
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42
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Lee S, Kim G, Lee J, Lee AC, Kwon S. Mapping cancer biology in space: applications and perspectives on spatial omics for oncology. Mol Cancer 2024; 23:26. [PMID: 38291400 PMCID: PMC10826015 DOI: 10.1186/s12943-024-01941-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 01/12/2024] [Indexed: 02/01/2024] Open
Abstract
Technologies to decipher cellular biology, such as bulk sequencing technologies and single-cell sequencing technologies, have greatly assisted novel findings in tumor biology. Recent findings in tumor biology suggest that tumors construct architectures that influence the underlying cancerous mechanisms. Increasing research has reported novel techniques to map the tissue in a spatial context or targeted sampling-based characterization and has introduced such technologies to solve oncology regarding tumor heterogeneity, tumor microenvironment, and spatially located biomarkers. In this study, we address spatial technologies that can delineate the omics profile in a spatial context, novel findings discovered via spatial technologies in oncology, and suggest perspectives regarding therapeutic approaches and further technological developments.
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Affiliation(s)
- Sumin Lee
- Department of Electrical and Computer Engineering, Seoul National University, Seoul, 08826, Republic of Korea
- Meteor Biotech,, Co. Ltd, Seoul, 08826, Republic of Korea
| | - Gyeongjun Kim
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, 08826, Republic of Korea
| | - JinYoung Lee
- Division of Engineering Science, University of Toronto, Toronto, Ontario, ON, M5S 3H6, Canada
| | - Amos C Lee
- Meteor Biotech,, Co. Ltd, Seoul, 08826, Republic of Korea.
- Bio-MAX Institute, Seoul National University, Seoul, 08826, Republic of Korea.
| | - Sunghoon Kwon
- Department of Electrical and Computer Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, 08826, Republic of Korea.
- Bio-MAX Institute, Seoul National University, Seoul, 08826, Republic of Korea.
- Institutes of Entrepreneurial BioConvergence, Seoul National University, Seoul, 08826, Republic of Korea.
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, 03080, Republic of Korea.
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43
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Cao M, Wang Z, Lan W, Xiang B, Liao W, Zhou J, Liu X, Wang Y, Zhang S, Lu S, Lang J, Zhao Y. The roles of tissue resident macrophages in health and cancer. Exp Hematol Oncol 2024; 13:3. [PMID: 38229178 PMCID: PMC10790434 DOI: 10.1186/s40164-023-00469-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 12/28/2023] [Indexed: 01/18/2024] Open
Abstract
As integral components of the immune microenvironment, tissue resident macrophages (TRMs) represent a self-renewing and long-lived cell population that plays crucial roles in maintaining homeostasis, promoting tissue remodeling after damage, defending against inflammation and even orchestrating cancer progression. However, the exact functions and roles of TRMs in cancer are not yet well understood. TRMs exhibit either pro-tumorigenic or anti-tumorigenic effects by engaging in phagocytosis and secreting diverse cytokines, chemokines, and growth factors to modulate the adaptive immune system. The life-span, turnover kinetics and monocyte replenishment of TRMs vary among different organs, adding to the complexity and controversial findings in TRMs studies. Considering the complexity of tissue associated macrophage origin, macrophages targeting strategy of each ontogeny should be carefully evaluated. Consequently, acquiring a comprehensive understanding of TRMs' origin, function, homeostasis, characteristics, and their roles in cancer for each specific organ holds significant research value. In this review, we aim to provide an outline of homeostasis and characteristics of resident macrophages in the lung, liver, brain, skin and intestinal, as well as their roles in modulating primary and metastatic cancer, which may inform and serve the future design of targeted therapies.
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Affiliation(s)
- Minmin Cao
- School of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Zihao Wang
- Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Wanying Lan
- Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
- Guixi Community Health Center of the Chengdu High-Tech Zone, Chengdu, China
| | - Binghua Xiang
- Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Wenjun Liao
- Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Jie Zhou
- Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaomeng Liu
- Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Yiling Wang
- Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Shichuan Zhang
- Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Shun Lu
- Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Jinyi Lang
- Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Yue Zhao
- Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
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44
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Qian Y, Yin Y, Zheng X, Liu Z, Wang X. Metabolic regulation of tumor-associated macrophage heterogeneity: insights into the tumor microenvironment and immunotherapeutic opportunities. Biomark Res 2024; 12:1. [PMID: 38185636 PMCID: PMC10773124 DOI: 10.1186/s40364-023-00549-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Accepted: 12/12/2023] [Indexed: 01/09/2024] Open
Abstract
Tumor-associated macrophages (TAMs) are a heterogeneous population that play diverse functions in tumors. Their identity is determined not only by intrinsic factors, such as origins and transcription factors, but also by external signals from the tumor microenvironment (TME), such as inflammatory signals and metabolic reprogramming. Metabolic reprogramming has rendered TAM to exhibit a spectrum of activities ranging from pro-tumorigenic to anti-tumorigenic, closely associated with tumor progression and clinical prognosis. This review implicates the diversity of TAM phenotypes and functions, how this heterogeneity has been re-evaluated with the advent of single-cell technologies, and the impact of TME metabolic reprogramming on TAMs. We also review current therapies targeting TAM metabolism and offer new insights for TAM-dependent anti-tumor immunotherapy by focusing on the critical role of different metabolic programs in TAMs.
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Affiliation(s)
- Yujing Qian
- Department of Obstetrics and Gynecology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Yujia Yin
- Department of Obstetrics and Gynecology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Xiaocui Zheng
- Department of Obstetrics and Gynecology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Zhaoyuan Liu
- Department of Immunology and Microbiology, Shanghai Institute of Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Xipeng Wang
- Department of Obstetrics and Gynecology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
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45
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Chen J, Chan TTH, Zhou J. Lipid metabolism in the immune niche of tumor-prone liver microenvironment. J Leukoc Biol 2024; 115:68-84. [PMID: 37474318 DOI: 10.1093/jleuko/qiad081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Revised: 06/23/2023] [Accepted: 07/06/2023] [Indexed: 07/22/2023] Open
Abstract
The liver is a common primary site not only for tumorigenesis, but also for cancer metastasis. Advanced cancer patients with liver metastases also show reduced response rates and survival benefits when treated with immune checkpoint inhibitors. Accumulating evidence has highlighted the importance of the liver immune microenvironment in determining tumorigenesis, metastasis-organotropism, and immunotherapy resistance. Various immune cells such as T cells, natural killer and natural killer T cells, macrophages and dendritic cells, and stromal cells including liver sinusoidal endothelial cells, Kupffer cells, hepatic stellate cells, and hepatocytes are implicated in contributing to the immune niche of tumor-prone liver microenvironment. In parallel, as the major organ for lipid metabolism, the increased abundance of lipids and their metabolites is linked to processes crucial for nonalcoholic fatty liver disease and related liver cancer development. Furthermore, the proliferation, differentiation, and functions of hepatic immune and stromal cells are also reported to be regulated by lipid metabolism. Therefore, targeting lipid metabolism may hold great potential to reprogram the immunosuppressive liver microenvironment and synergistically enhance the immunotherapy efficacy in the circumstance of liver metastasis. In this review, we describe how the hepatic microenvironment adapts to the lipid metabolic alterations in pathologic conditions like nonalcoholic fatty liver disease. We also illustrate how these immunometabolic alterations promote the development of liver cancers and immunotherapy resistance. Finally, we discuss the current therapeutic options and hypothetic combination immunotherapies for the treatment of advanced liver cancers.
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Affiliation(s)
- Jintian Chen
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong 999077, SAR, P.R. China
| | - Thomas T H Chan
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong 999077, SAR, P.R. China
| | - Jingying Zhou
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong 999077, SAR, P.R. China
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46
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Chen Y, Liu F, Chen X, Li W, Li K, Cai H, Wang S, Wang H, Xu K, Zhang C, Ye S, Shen Y, Mou T, Cai S, Zhou J, Yu J. microRNA-622 upregulates cell cycle process by targeting FOLR2 to promote CRC proliferation. BMC Cancer 2024; 24:26. [PMID: 38166756 PMCID: PMC10763126 DOI: 10.1186/s12885-023-11766-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 12/15/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Epigenetic alterations contribute greatly to the development and progression of colorectal cancer, and effect of aberrant miR-622 expression is still controversial. This study aimed to discover miR-622 regulation in CRC proliferation. METHODS miR-622 expression and prognosis were analyzed in clinical CRC samples from Nanfang Hospital. miR-622 regulation on cell cycle and tumor proliferation was discovered, and FOLR2 was screened as functional target of miR-622 using bioinformatics analysis, which was validated via dual luciferase assay and gain-of-function and loss-of-function experiments both in vitro and in vivo. RESULTS miR-622 overexpression in CRC indicated unfavorable prognosis and it regulated cell cycle to promote tumor growth both in vitro and in vivo. FOLR2 is a specific, functional target of miR-622, which negatively correlates with signature genes in cell cycle process to promote CRC proliferation. CONCLUSIONS miR-622 upregulates cell cycle process by targeting FOLR2 to promote CRC proliferation, proposing a novel mechanism and treatment target in CRC epigenetic regulation of miR-622.
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Affiliation(s)
- Yuehong Chen
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, The First School of Clinical Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Feng Liu
- Department of Colorectal and Anal Surgery Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510515, China
| | - Xinhua Chen
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, The First School of Clinical Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Wenyi Li
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, The First School of Clinical Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Kejun Li
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, The First School of Clinical Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Hailang Cai
- Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Shunyi Wang
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, The First School of Clinical Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Honglei Wang
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, The First School of Clinical Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Ke Xu
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, The First School of Clinical Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Chenxi Zhang
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, The First School of Clinical Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Shengzhi Ye
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, The First School of Clinical Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Yunhao Shen
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, The First School of Clinical Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Tingyu Mou
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, The First School of Clinical Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Shumin Cai
- Department of Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
- Department of Critical Care Medicine, The First School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China.
| | - Jianwei Zhou
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, No. 1838, Guangzhou Avenue North, Guangzhou, 510515, China.
| | - Jiang Yu
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, The First School of Clinical Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
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Li Z, Pai R, Gupta S, Currenti J, Guo W, Di Bartolomeo A, Feng H, Zhang Z, Li Z, Liu L, Singh A, Bai Y, Yang B, Mishra A, Yang K, Qiao L, Wallace M, Yin Y, Xia Q, Chan JKY, George J, Chow PKH, Ginhoux F, Sharma A. Presence of onco-fetal neighborhoods in hepatocellular carcinoma is associated with relapse and response to immunotherapy. Nat Cancer 2024; 5:167-186. [PMID: 38168935 DOI: 10.1038/s43018-023-00672-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 10/16/2023] [Indexed: 01/05/2024]
Abstract
Onco-fetal reprogramming of the tumor ecosystem induces fetal developmental signatures in the tumor microenvironment, leading to immunosuppressive features. Here, we employed single-cell RNA sequencing, spatial transcriptomics and bulk RNA sequencing to delineate specific cell subsets involved in hepatocellular carcinoma (HCC) relapse and response to immunotherapy. We identified POSTN+ extracellular matrix cancer-associated fibroblasts (EM CAFs) as a prominent onco-fetal interacting hub, promoting tumor progression. Cell-cell communication and spatial transcriptomics analysis revealed crosstalk and co-localization of onco-fetal cells, including POSTN+ CAFs, FOLR2+ macrophages and PLVAP+ endothelial cells. Further analyses suggest an association between onco-fetal reprogramming and epithelial-mesenchymal transition (EMT), tumor cell proliferation and recruitment of Treg cells, ultimately influencing early relapse and response to immunotherapy. In summary, our study identifies POSTN+ CAFs as part of the HCC onco-fetal niche and highlights its potential influence in EMT, relapse and immunotherapy response, paving the way for the use of onco-fetal signatures for therapeutic stratification.
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Affiliation(s)
- Ziyi Li
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rhea Pai
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, Perth, Western Australia, Australia
- Curtin Medical School, Curtin University, Perth, Western Australia, Australia
| | - Saurabh Gupta
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, Perth, Western Australia, Australia
- Curtin Medical School, Curtin University, Perth, Western Australia, Australia
| | - Jennifer Currenti
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, Perth, Western Australia, Australia
- Curtin Medical School, Curtin University, Perth, Western Australia, Australia
| | - Wei Guo
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Anna Di Bartolomeo
- Storr Liver Centre, The Westmead Institute for Medical Research and Westmead Hospital, University of Sydney, Sydney, New South Wales, Australia
| | - Hao Feng
- Department of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Transplantation, Shanghai, China
| | - Zijie Zhang
- Department of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Zhizhen Li
- Department of Biliary Tract Surgery I, Eastern Hepatobiliary Surgery Hospital, Shanghai, China
| | - Longqi Liu
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, P. R. China
| | - Abhishek Singh
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, Perth, Western Australia, Australia
| | - Yinqi Bai
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, P. R. China
| | | | - Archita Mishra
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore
- Telethon Kids Institute, University of Western Australia, Perth Children's Hospital, Nedlands, Western Australia, Australia
| | - Katharine Yang
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore
| | - Liang Qiao
- Storr Liver Centre, The Westmead Institute for Medical Research and Westmead Hospital, University of Sydney, Sydney, New South Wales, Australia
| | - Michael Wallace
- Department of Hepatology and Western Australian Liver Transplant Service, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
- Medical School, University of Western Australia, Nedlands, Western Australia, Australia
| | - Yujia Yin
- Department of Obstetrics and Gynecology, Xinhua Hospital Affiliated to Shanghai Jiaotong University Medicine School, Shanghai, China
| | - Qiang Xia
- Department of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Institute of Transplantation, Shanghai, China
| | - Jerry Kok Yen Chan
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, Singapore
- Academic Clinical Program in Obstetrics and Gynaecology, Duke-NUS Medical School, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jacob George
- Storr Liver Centre, The Westmead Institute for Medical Research and Westmead Hospital, University of Sydney, Sydney, New South Wales, Australia
| | - Pierce Kah-Hoe Chow
- Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore.
- Surgery Academic Clinical Programme, Duke-NUS Medical School, Singapore, Singapore.
| | - Florent Ginhoux
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore.
- Translational Immunology Institute, SingHealth Duke-NUS Academic Medical Centre, Singapore, Singapore.
- Gustave Roussy Cancer Campus, Villejuif, France.
| | - Ankur Sharma
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, Perth, Western Australia, Australia.
- Curtin Medical School, Curtin University, Perth, Western Australia, Australia.
- Institute of Molecular and Cell Biology, A∗STAR, Singapore, Singapore.
- KK Research Centre, KK Women's and Children's Hospital, Singapore, Singapore.
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48
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Yan Q, Fang X, Liu X, Guo S, Chen S, Luo M, Lan P, Guan XY. Loss of ESRP2 Activates TAK1-MAPK Signaling through the Fetal RNA-Splicing Program to Promote Hepatocellular Carcinoma Progression. Adv Sci (Weinh) 2024; 11:e2305653. [PMID: 37985644 PMCID: PMC10767434 DOI: 10.1002/advs.202305653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Indexed: 11/22/2023]
Abstract
Tumors usually display fetal-like characteristics, and many oncofetal proteins have been identified. However, fetal-like reprogramming of RNA splicing in hepatocellular carcinoma (HCC) is poorly understood. Here, it is demonstrated that the expression of epithelial splicing regulatory protein 2 (ESRP2), an RNA splicing factor, is suppressed in fetal hepatocytes and HCC, in parallel with tumor progression. By combining RNA-Seq with splicing analysis, it is identified that ESRP2 controls the fetal-to-adult switch of multiple splice isoforms in HCC. Functionally, ESRP2 suppressed cell proliferation and migration by specifically switching the alternative splicing (AS) of the TAK1 gene and restraining the expression of the fetal and oncogenic isoform, TAK1_ΔE12. Notably, aberrant TAK1 splicing led to the activation of p38MAPK signaling and predicted poor prognosis in HCC patients. Further investigation revealed that TAK1_ΔE12 protein interacted closely with TAB3 and formed liquid condensation in HCC cells, resulting in p38MAPK activation, enhanced cell migration, and accelerated tumorigenesis. Loss of ESRP2 sensitized HCC cells to TAK1 kinase inhibitor (TAK1i), promoting pyroptotic cell death and CD8+ T cell infiltration. Combining TAK1i with immune checkpoint therapy achieved potent tumor regression in mice. Overall, the findings reveal a previously unexplored onco-fetal reprogramming of RNA splicing and provide novel therapeutic avenues for HCC.
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Affiliation(s)
- Qian Yan
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
- Department of General Surgery (Colorectal Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
| | - Xiaona Fang
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China
- Department of Pediatric Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Xiaoxia Liu
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
- Department of General Surgery (Colorectal Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
| | - Sai Guo
- Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Siqi Chen
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
- Department of General Surgery (Colorectal Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
| | - Min Luo
- Department of Clinical Oncology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
- Shenzhen Key Laboratory of recurrent metastatic cancer and personalized therapy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Ping Lan
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
- Department of General Surgery (Colorectal Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
- State Key Laboratory of Oncology in South China, Guangzhou, China
| | - Xin-Yuan Guan
- Department of Clinical Oncology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
- Shenzhen Key Laboratory of recurrent metastatic cancer and personalized therapy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
- Department of Clinical Oncology, State Key Laboratory for Liver Research, The University of Hong Kong, Hong Kong, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, China
- MOE Key Laboratory of Tumor Molecular Biology, Jinan University, Guangzhou, China
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49
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Ji K, Zhong J, Cui L, Wang X, Chen LN, Wen B, Yang F, Deng W, Pan X, Wang L, Bao J, Chen Y, Liu H. Exploring myometrial microenvironment changes at the single-cell level from nonpregnant to term pregnant states. Physiol Genomics 2024; 56:32-47. [PMID: 37955337 DOI: 10.1152/physiolgenomics.00067.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/23/2023] [Accepted: 11/12/2023] [Indexed: 11/14/2023] Open
Abstract
The microenvironment and cell populations within the myometrium play crucial roles in maintaining uterine structural integrity and protecting the fetus during pregnancy. However, the specific changes occurring at the single-cell level in the human myometrium between nonpregnant (NP) and term pregnant (TP) states remain unexplored. In this study, we used single-cell RNA sequencing (scRNA-Seq) and spatial transcriptomics (ST) to construct a transcriptomic atlas of individual cells in the myometrium of NP and TP women. Integrated analysis of scRNA-Seq and ST data revealed spatially distinct transcriptional characteristics and examined cell-to-cell communication patterns based on ligand-receptor interactions. We identified and categorized 87,845 high-quality individual cells into 12 populations from scRNA-Seq data of 12 human myometrium tissues. Our findings demonstrated alterations in the proportions of five subpopulations of smooth muscle cells in TP. Moreover, an increase in monocytic cells, particularly M2 macrophages, was observed in TP myometrium samples, suggesting their involvement in the anti-inflammatory response. This study provides unprecedented single-cell resolution of the NP and TP myometrium, offering new insights into myometrial remodeling during pregnancy.NEW & NOTEWORTHY Using single-cell RNA sequencing and spatial transcriptomics, the myometrium was examined at the single-cell level during pregnancy. We identified spatially distinct cell populations and observed alterations in smooth muscle cells and increased M2 macrophages in term pregnant women. These findings offer unprecedented insights into myometrial remodeling and the anti-inflammatory response during pregnancy. The study advances our understanding of pregnancy-related myometrial changes.
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Affiliation(s)
- Kaiyuan Ji
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Junmin Zhong
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Long Cui
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Xiaodi Wang
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Li-Na Chen
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Bolun Wen
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Fan Yang
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Wenfeng Deng
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Xiuyu Pan
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Lele Wang
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Junjie Bao
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, People's Republic of China
| | - YunShan Chen
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Huishu Liu
- Guangzhou Key Laboratory of Maternal-Fetal Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, People's Republic of China
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50
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Ahlback A, Gentek R. Fate-Mapping Macrophages: From Ontogeny to Functions. Methods Mol Biol 2024; 2713:11-43. [PMID: 37639113 DOI: 10.1007/978-1-0716-3437-0_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/29/2023]
Abstract
Macrophages are vital to the physiological function of most tissues, but also contribute to disease through a multitude of pathological roles. They are thus highly plastic and heterogeneous. It is now well recognized that macrophages develop from several distinct progenitors from embryogenesis onwards and extending throughout life. Tissue-resident macrophages largely originate from embryonic sources and in many cases self-maintain independently without monocyte input. However, in certain tissues, monocyte-derived macrophages replace these over time or as a result of tissue injury and inflammation. This additional layer of heterogeneity has introduced many questions regarding the influence of origin on fate and function of macrophages in health and disease. To comprehensively address these questions, appropriate methods of tracing macrophage ontogeny are required. This chapter explores why ontogeny is of vital importance in macrophage biology and how to delineate macrophage populations by origin through genetic fate mapping. First, we summarize the current view of macrophage ontogeny and briefly discuss how origin may influence macrophage function in homeostasis and pathology. We go on to make the case for genetic fate mapping as the gold standard and briefly review different fate-mapping models. We then put forward our recommendations for fate-mapping strategies best suited to answer specific research questions and finally discuss the strengths and limitations of currently available models.
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Affiliation(s)
- Anna Ahlback
- The University of Edinburgh, Institute for Regeneration and Repair, Centre for Reproductive Health & Centre for Inflammation Research, Edinburgh, UK
| | - Rebecca Gentek
- The University of Edinburgh, Institute for Regeneration and Repair, Centre for Reproductive Health & Centre for Inflammation Research, Edinburgh, UK.
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