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Yang L, Wei X, Sun P, Wang J, Zhou X, Zhang X, Luo W, Zhou Y, Zhang W, Fang S, Chao J. Deciphering the spatial organization of fibrotic microenvironment in silica particles-induced pulmonary fibrosis. JOURNAL OF HAZARDOUS MATERIALS 2024; 478:135540. [PMID: 39178783 DOI: 10.1016/j.jhazmat.2024.135540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2024] [Revised: 07/24/2024] [Accepted: 08/14/2024] [Indexed: 08/26/2024]
Abstract
Silicosis represents a form of interstitial lung disease induced by the inhalation of silica particles in production environments. A key pathological characteristic of silica-induced pulmonary fibrosis is its localized tissue heterogeneity, which presents significant challenges in analyzing transcriptomic data due to the loss of important spatial context. To address this, we integrate spatial gene expression data with single-cell analyses and achieve a detailed mapping of cell types within and surrounding fibrotic regions, revealing significant shifts in cell populations in normal and diseased states. Additionally, we explore cell interactions within fibrotic zones using ligand-receptor mapping, deepening our understanding of cellular dynamics in these areas. We identify a subset of fibroblasts, termed Inmt fibroblasts, that play a suppressive role in the fibrotic microenvironment. Validating our findings through a comprehensive suite of bioinformatics, histological, and cell culture studies highlights the role of monocyte-derived macrophages in shifting Inmt fibroblast populations into profibrotic Grem1 fibroblast, potentially disrupting lung homeostasis in response to external challenges. Hence, the spatially detailed deconvolution offered by our research markedly advances the comprehension of cell dynamics and environmental interactions pivotal in the development of pulmonary fibrosis.
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Affiliation(s)
- Liliang Yang
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Department of Physiology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Xinyan Wei
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Department of Physiology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, China
| | - Piaopiao Sun
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Department of Physiology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Jing Wang
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Department of Physiology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Xinbei Zhou
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Department of Physiology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, China
| | - Xinxin Zhang
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Department of Physiology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Wei Luo
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Department of Physiology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, China; School of Medicine, Xizang Minzu University, Xianyang, Shanxi 712082, China
| | - Yun Zhou
- Department of Health Management, School of Health Science, West Yunnan University of Applied Sciences, Dali, Yunnan 671000 China
| | - Wei Zhang
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Department of Physiology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Shencun Fang
- Department of Respiratory Medicine, Nanjing Chest hospital, The Affiliated Brain Hospital of Nanjing Medical University, China.
| | - Jie Chao
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Department of Physiology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, China; School of Medicine, Xizang Minzu University, Xianyang, Shanxi 712082, China.
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2
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Zhang Q, Ding L, Li J, Liu K, Xia C, Chen S, Huang X, Pu Y, Song Y, Hu Q, Wang Y. Single-cell RNA sequencing of OSCC primary tumors and lymph nodes reveals distinct origin and phenotype of fibroblasts. Cancer Lett 2024; 600:217180. [PMID: 39154702 DOI: 10.1016/j.canlet.2024.217180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 07/02/2024] [Accepted: 08/09/2024] [Indexed: 08/20/2024]
Abstract
Desmoplasia in fibroblasts within metastatic lymph nodes (MLNs) serves as an indicator of extranodal extension (ENE), which led mortality in oral squamous cell carcinoma (OSCC). However, systematic studies on fibroblasts in MLNs are lacking. Therefore, this study characterized the differences in phenotype, function, and origin of fibroblasts between primary tumors (PTs) and lymph nodes (LNs) in OSCC. We generated single-cell maps of PTs and paired MLNs and draining LNs from three OSCC patients. The transcriptomic atlas, pseudotime analysis, intercellular communication networks and enrichment analysis of the single cells were characterized. Phenotype and function heterogeneity of fibroblast cells between PTs and MLNs were further verified in vitro. Among 44,052 fibroblasts, we identified two distinct subpopulations of cancer-associated myofibroblastic cells (mCAFs): RGS4+ mCAF1 and COMP + mCAF2. Notably, they exhibited distinct distributions, with mCAF1 predominantly localized in the PTs and mCAF2 in the MLNs. Moreover, pseudotime analysis revealed their distinct origins: mCAF1 originated from inherent normal myofibroblastic cells in the PT, whereas mCAF2 originated from fibroblastic reticular cells in the LNs. Further functional experiments using primary fibroblasts revealed that, compared to mCAF1, mCAF2 in MLNs exhibited weaker crosstalk with immune cells but enhanced extracellular matrix activity, which is closely linked to ENE formation in OSCC. Additionally, we identified two fibroblast subgroups in a transforming state, indicating a potential epithelial-mesenchymal transition. Our research offers profound insights into the heterogeneity of fibroblasts between the PT and MLN in OSCC, serving as an essential resource for future drug discovery endeavors.
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Affiliation(s)
- Qian Zhang
- Department of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Medical School of Nanjing University, China
| | - Liang Ding
- Central Laboratory of Stomatology, Nanjing Stomatological Hospital, Medical School of Nanjing University, China
| | - Jingyi Li
- Department of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Medical School of Nanjing University, China
| | - Kunyu Liu
- Department of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Medical School of Nanjing University, China
| | - Chengwan Xia
- Department of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Medical School of Nanjing University, China
| | - Sheng Chen
- Pathology Department, Nanjing Stomatological Hospital, Medical School of Nanjing University, China
| | - Xiaofeng Huang
- Pathology Department, Nanjing Stomatological Hospital, Medical School of Nanjing University, China
| | - Yumei Pu
- Department of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Medical School of Nanjing University, China
| | - Yuxian Song
- Central Laboratory of Stomatology, Nanjing Stomatological Hospital, Medical School of Nanjing University, China
| | - Qingang Hu
- Department of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Medical School of Nanjing University, China.
| | - Yuxin Wang
- Department of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Medical School of Nanjing University, China.
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3
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Giangreco G, Rullan A, Naito Y, Biswas D, Liu YH, Hooper S, Nenclares P, Bhide S, Chon U Cheang M, Chakravarty P, Hirata E, Swanton C, Melcher A, Harrington K, Sahai E. Cancer cell - Fibroblast crosstalk via HB-EGF, EGFR, and MAPK signaling promotes the expression of macrophage chemo-attractants in squamous cell carcinoma. iScience 2024; 27:110635. [PMID: 39262776 PMCID: PMC11387794 DOI: 10.1016/j.isci.2024.110635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 04/09/2024] [Accepted: 07/30/2024] [Indexed: 09/13/2024] Open
Abstract
Interactions between cells in the tumor microenvironment (TME) shape cancer progression and patient prognosis. To gain insights into how the TME influences cancer outcomes, we derive gene expression signatures indicative of signaling between stromal fibroblasts and cancer cells, and demonstrate their prognostic significance in multiple and independent squamous cell carcinoma cohorts. By leveraging information within the signatures, we discover that the HB-EGF/EGFR/MAPK axis represents a hub of tumor-stroma crosstalk, promoting the expression of CSF2 and LIF and favoring the recruitment of macrophages. Together, these analyses demonstrate the utility of our approach for interrogating the extent and consequences of TME crosstalk.
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Affiliation(s)
- Giovanni Giangreco
- Tumour Cell Biology Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Antonio Rullan
- Tumour Cell Biology Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
- Department of Radiotherapy and Imaging, The Institute of Cancer Research, 237 Fulham Road, London SW3 6JB, UK
- Head and Neck Unit, The Royal Marsden Hospital, 203 Fulham Road, London SW3 6JJ, UK
| | - Yutaka Naito
- Tumour Cell Biology Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Dhruva Biswas
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, 72 Huntley Street, London WC1E 6DD, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
- Bill Lyons Informatics Centre, University College London Cancer Institute, 72 Huntley Street, London WC1E 6DD, UK
| | - Yun-Hsin Liu
- Bioinformatics Platform, Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Steven Hooper
- Tumour Cell Biology Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Pablo Nenclares
- Department of Radiotherapy and Imaging, The Institute of Cancer Research, 237 Fulham Road, London SW3 6JB, UK
- Head and Neck Unit, The Royal Marsden Hospital, 203 Fulham Road, London SW3 6JJ, UK
| | - Shreerang Bhide
- Department of Radiotherapy and Imaging, The Institute of Cancer Research, 237 Fulham Road, London SW3 6JB, UK
- Head and Neck Unit, The Royal Marsden Hospital, 203 Fulham Road, London SW3 6JJ, UK
| | - Maggie Chon U Cheang
- Department of Radiotherapy and Imaging, The Institute of Cancer Research, 237 Fulham Road, London SW3 6JB, UK
- Head and Neck Unit, The Royal Marsden Hospital, 203 Fulham Road, London SW3 6JJ, UK
| | - Probir Chakravarty
- Bioinformatics Platform, Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Eishu Hirata
- Tumour Cell Biology Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
| | - Charles Swanton
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
- Bill Lyons Informatics Centre, University College London Cancer Institute, 72 Huntley Street, London WC1E 6DD, UK
- Department of Oncology, University College London Hospitals, London, UK
| | - Alan Melcher
- Department of Radiotherapy and Imaging, The Institute of Cancer Research, 237 Fulham Road, London SW3 6JB, UK
- Head and Neck Unit, The Royal Marsden Hospital, 203 Fulham Road, London SW3 6JJ, UK
| | - Kevin Harrington
- Department of Radiotherapy and Imaging, The Institute of Cancer Research, 237 Fulham Road, London SW3 6JB, UK
- Head and Neck Unit, The Royal Marsden Hospital, 203 Fulham Road, London SW3 6JJ, UK
| | - Erik Sahai
- Tumour Cell Biology Laboratory, The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK
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4
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Verhagen MP, Xu T, Stabile R, Joosten R, Tucci FA, van Royen M, Trerotola M, Alberti S, Sacchetti A, Fodde R. The SW480 cell line as a model of resident and migrating colon cancer stem cells. iScience 2024; 27:110658. [PMID: 39246444 PMCID: PMC11379671 DOI: 10.1016/j.isci.2024.110658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 06/27/2024] [Accepted: 07/31/2024] [Indexed: 09/10/2024] Open
Abstract
Intra-tumor heterogeneity, i.e., the presence of diverse cell types and subpopulations within tumors, presents a significant obstacle in cancer treatment due to its negative consequences for resistance to therapy and disease recurrence. However, the mechanisms that underlie intra-tumor heterogeneity and result in the plethora of different cancer cells within a single lesion remain poorly understood. Here, we leverage the SW480 cell line as a model system to investigate the molecular and functional diversity of colon cancer cells. Through a combination of fluorescence-activated cell sorting (FACS) analysis and transcriptomic profiling, we identified three distinct subpopulations, namely resident cancer stem cells (rCSCs), migratory CSCs (mCSCs), and high-relapse cells (HRCs). These subpopulations show varying Wnt signaling levels and gene expression profiles mirroring their stem-like and functional properties. Examination of publicly available spatial transcriptomic data confirms the presence of these subpopulations in patient-derived cancers and reveals their distinct spatial distribution relative to the tumor microenvironment.
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Affiliation(s)
- Mathijs P Verhagen
- Department of Pathology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Tong Xu
- Department of Pathology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Roberto Stabile
- Department of Pathology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Rosalie Joosten
- Department of Pathology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Francesco A Tucci
- Department of Pathology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Martin van Royen
- Department of Pathology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Marco Trerotola
- Department of Medical, Oral and Biotechnological Sciences, University of Chieti-Pescara, Chieti, Italy
| | - Saverio Alberti
- Department of Biomedical Sciences, University of Messina, Messina, Italy
| | - Andrea Sacchetti
- Department of Pathology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Riccardo Fodde
- Department of Pathology, Erasmus University Medical Center, Rotterdam, the Netherlands
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5
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Tong W, Wang T, Bai Y, Yang X, Han P, Zhu L, Zhang Y, Shen Z. Spatial transcriptomics reveals tumor-derived SPP1 induces fibroblast chemotaxis and activation in the hepatocellular carcinoma microenvironment. J Transl Med 2024; 22:840. [PMID: 39267037 DOI: 10.1186/s12967-024-05613-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Accepted: 08/13/2024] [Indexed: 09/14/2024] Open
Abstract
BACKGROUND The tumor microenvironment (TME) exerts profound effects on tumor progression and therapeutic efficacy. In hepatocellular carcinoma (HCC), the TME is enriched with cancer-associated fibroblasts (CAFs), which secrete a plethora of cytokines, chemokines, and growth factors that facilitate tumor cell proliferation and invasion. However, the intricate architecture of the TME in HCC, as well as the mechanisms driving interactions between tumor cells and CAFs, remains largely enigmatic. METHODS We analyzed 10 spatial transcriptomics and 12 single-cell transcriptomics samples sourced from public databases, complemented by 20 tumor tissue samples from liver cancer patients obtained in a clinical setting. RESULTS Our findings reveal that tumor cells exhibiting high levels of SPP1 are preferentially localized adjacent to hepatic stellate cells (HSCs). The SPP1 secreted by these tumor cells interacts with the CD44 receptor on HSCs, thereby activating the PI3K/AKT signaling pathway, which promotes the differentiation of HSCs into CAFs. Notably, blockade of the CD44 receptor effectively abrogates this interaction. Furthermore, in vivo studies demonstrate that silencing SPP1 expression in tumor cells significantly impairs HSC differentiation into CAFs, leading to a reduction in tumor volume and collagen deposition within the tumor stroma. CONCLUSIONS This study delineates the SPP1-CD44 signaling axis as a pivotal mechanism underpinning the interaction between tumor cells and CAFs. Targeting this pathway holds potential to mitigate liver fibrosis and offers novel therapeutic perspectives for liver cancer management.
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Affiliation(s)
- Wen Tong
- The First Central Clinical School, Tianjin Medical University, Tianjin, 300070, China
| | - Tianze Wang
- School of Medicine, Nankai University, Tianjin, 300071, China
| | - Yi Bai
- Department of Hepatobiliary Surgery, Tianjin First Central Hospital, Tianjin, 300192, China
| | - Xingpeng Yang
- Department of General Surgery, First Medical Center of the Chinese PLA General Hospital, Beijing, 100853, China
| | - Pinsheng Han
- School of Medicine, Nankai University, Tianjin, 300071, China
| | - Liuyang Zhu
- The First Central Clinical School, Tianjin Medical University, Tianjin, 300070, China
| | - Yamin Zhang
- Department of Hepatobiliary Surgery, Tianjin First Central Hospital, Tianjin, 300192, China.
| | - Zhongyang Shen
- Organ Transplantation Centre, Tianjin First Central Hospital, Tianjin, 300192, China.
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6
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Xu Q, Liu C, Wang H, Li S, Yan H, Liu Z, Chen K, Xu Y, Yang R, Zhou J, Yang X, Liu J, Wang L. Deciphering the impact of aggregated autophagy-related genes TUBA1B and HSP90AA1 on colorectal cancer evolution: a single-cell sequencing study of the tumor microenvironment. Discov Oncol 2024; 15:431. [PMID: 39259234 DOI: 10.1007/s12672-024-01322-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Accepted: 09/06/2024] [Indexed: 09/12/2024] Open
Abstract
BACKGROUND Colorectal cancer (CRC) is the third most prevalent cancer worldwide, with the tumor microenvironment (TME) playing a crucial role in its progression. Aggregated autophagy (AA) has been recognized as a factor that exacerbates CRC progression. This study aims to study the relationship between aggregated autophagy and CRC using single-cell sequencing techniques. Our goal is to explain the heterogeneity of the TME and to explore the potential for targeted personalized therapies. OBJECTIVE To study the role of AA in CRC, we employed single-cell sequencing to discern distinct subpopulations within the TME. These subpopulations were characterized by their autophagy levels and further analyzed to identify specific biological processes and marker genes. RESULTS Our study revealed significant correlations between immune factors and both clinical and biological characteristics of the tumor microenvironment (TME), particularly in cells expressing TUBA1B and HSP90AA1. These immune factors were associated with T cell depletion, a reduction in protective factors, diminished efficacy of immune checkpoint blockade (ICB), and enhanced migration of cancer-associated fibroblasts (CAFs), resulting in pronounced inflammation. In vitro experiments showd that silencing TUBA1B and HSP90AA1 using siRNA (Si-TUBA1B and Si-HSP90AA1) significantly reduced the expression of IL-6, IL-7, CXCL1, and CXCL2 and inhibition of tumor cell growth in Caco-2 and Colo-205 cell lines. This reduction led to a substantial alleviation of chronic inflammation and highlighted the heterogeneous nature of the TME. CONCLUSION This study marks an initial foray into understanding how AA-associated processes may potentiate the TME and weaken immune function. Our findings provide insights into the complex dynamics of the TME and highlight potential targets for therapeutic intervention, suggesting a key role for AA in the advancement of colorectal cancer.
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Affiliation(s)
- Qianping Xu
- Department of Gastrointestinal and Hernial Surgery, Meishan Hospital of West China Hospital of Sichuan University, Meishan City People's Hospital, Meishan, 620010, China
| | - Chao Liu
- General Hospital of Ningxia Medical University, Yinchuan, 750000, Ningxia, China
- Ningxia Medical University, Yinchuan, 750000, Ningxia, China
| | - Hailin Wang
- Department of Hepatobiliary Surgery, Affliated Hospital of North Sichuan Medical College, Nanchong, Sichuan Province, China
| | - Shujuan Li
- General Hospital of Ningxia Medical University, Yinchuan, 750000, Ningxia, China
- Ningxia Medical University, Yinchuan, 750000, Ningxia, China
| | - Hanshen Yan
- General Hospital of Ningxia Medical University, Yinchuan, 750000, Ningxia, China
- Ningxia Medical University, Yinchuan, 750000, Ningxia, China
| | - Ziyang Liu
- General Hospital of Ningxia Medical University, Yinchuan, 750000, Ningxia, China
- Ningxia Medical University, Yinchuan, 750000, Ningxia, China
| | - Kexin Chen
- General Hospital of Ningxia Medical University, Yinchuan, 750000, Ningxia, China
- Ningxia Medical University, Yinchuan, 750000, Ningxia, China
| | - Yaoqin Xu
- General Hospital of Ningxia Medical University, Yinchuan, 750000, Ningxia, China
- Ningxia Medical University, Yinchuan, 750000, Ningxia, China
| | - Runqin Yang
- General Hospital of Ningxia Medical University, Yinchuan, 750000, Ningxia, China
- Ningxia Medical University, Yinchuan, 750000, Ningxia, China
| | - Jingfang Zhou
- General Hospital of Ningxia Medical University, Yinchuan, 750000, Ningxia, China
- Ningxia Medical University, Yinchuan, 750000, Ningxia, China
| | - Xiaolin Yang
- Ningxia Medical University, Yinchuan, 750000, Ningxia, China.
| | - Jie Liu
- Department of General Surgery, Dazhou Central Hospital, Dazhou, 635000, China.
| | - Lexin Wang
- General Hospital of Ningxia Medical University, Yinchuan, 750000, Ningxia, China.
- Ningxia Medical University, Yinchuan, 750000, Ningxia, China.
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Zhou Q, Lei L, Cheng J, Chen J, Du Y, Zhang X, Li Q, Li C, Deng H, Wong CC, Zhuang B, Li G, Bai X. Microbiota-induced S100A11-RAGE axis underlies immune evasion in right-sided colon adenomas and is a therapeutic target to boost anti-PD1 efficacy. Gut 2024:gutjnl-2024-332193. [PMID: 39251326 DOI: 10.1136/gutjnl-2024-332193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Accepted: 08/19/2024] [Indexed: 09/11/2024]
Abstract
BACKGROUND Tumourigenesis in right-sided and left-sided colons demonstrated distinct features. OBJECTIVE We aimed to characterise the differences between the left-sided and right-sided adenomas (ADs) representing the early stage of colonic tumourigenesis. DESIGN Single-cell and spatial transcriptomic datasets were analysed to reveal alterations between right-sided and left-sided colon ADs. Cells, animal experiments and clinical specimens were used to verify the results. RESULTS Single-cell analysis revealed that in right-sided ADs, there was a significant reduction of goblet cells, and these goblet cells were dysfunctional with attenuated mucin biosynthesis and defective antigen presentation. An impairment of the mucus barrier led to biofilm formation in crypts and subsequent bacteria invasion into right-sided ADs. The regions spatially surrounding the crypts with biofilm occupation underwent an inflammatory response by lipopolysaccharide (LPS) and an apoptosis process, as revealed by spatial transcriptomics. A distinct S100A11+ epithelial cell population in the right-sided ADs was identified, and its expression level was induced by bacterial LPS and peptidoglycan. S100A11 expression facilitated tumour growth in syngeneic immunocompetent mice with increased myeloid-derived suppressor cells (MDSC) but reduced cytotoxic CD8+ T cells. Targeting S100A11 with well-tolerated antagonists of its receptor for advanced glycation end product (RAGE) (Azeliragon) significantly impaired tumour growth and MDSC infiltration, thereby boosting the efficacy of anti-programmed cell death protein 1 therapy in colon cancer. CONCLUSION Our findings unravelled that dysfunctional goblet cells and consequential bacterial translocation activated the S100A11-RAGE axis in right-sided colon ADs, which recruits MDSCs to promote immune evasion. Targeting this axis by Azeliragon improves the efficacy of immunotherapy in colon cancer.
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Affiliation(s)
- Qiming Zhou
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Key Laboratory of Human Microbiome and Chronic Diseases (Sun Yat-sen University), Ministry of Education, Guangzhou, China
| | - Linhan Lei
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Junhong Cheng
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Junyou Chen
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Yuyang Du
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Xuehua Zhang
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Qing Li
- Dermatology Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Chuangen Li
- Institute of Chinese Medical Sciences, University of Macao, Taipa, Macao
| | - Haijun Deng
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Chi Chun Wong
- Institute of Digestive Disease, Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK-Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Baoxiong Zhuang
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Guoxin Li
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Xiaowu Bai
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
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8
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Arpinati L, Carradori G, Scherz-Shouval R. CAF-induced physical constraints controlling T cell state and localization in solid tumours. Nat Rev Cancer 2024:10.1038/s41568-024-00740-4. [PMID: 39251836 DOI: 10.1038/s41568-024-00740-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/05/2024] [Indexed: 09/11/2024]
Abstract
Solid tumours comprise cancer cells that engage in continuous interactions with non-malignant cells and with acellular components, forming the tumour microenvironment (TME). The TME has crucial and diverse roles in tumour progression and metastasis, and substantial efforts have been dedicated into understanding the functions of different cell types within the TME. These efforts highlighted the importance of non-cell-autonomous signalling in cancer, mediating interactions between the cancer cells, the immune microenvironment and the non-immune stroma. Much of this non-cell-autonomous signalling is mediated through acellular components of the TME, known as the extracellular matrix (ECM), and controlled by the cells that secrete and remodel the ECM - the cancer-associated fibroblasts (CAFs). In this Review, we delve into the complex crosstalk among cancer cells, CAFs and immune cells, highlighting the effects of CAF-induced ECM remodelling on T cell functions and offering insights into the potential of targeting ECM components to improve cancer therapies.
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Affiliation(s)
- Ludovica Arpinati
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot, Israel
| | - Giulia Carradori
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot, Israel
| | - Ruth Scherz-Shouval
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot, Israel.
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9
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Sun Y, Yinwang E, Wang S, Wang Z, Wang F, Xue Y, Zhang W, Zhao S, Mou H, Chen S, Jin L, Li B, Ye Z. Phenotypic and spatial heterogeneity of CD8 + tumour infiltrating lymphocytes. Mol Cancer 2024; 23:193. [PMID: 39251981 PMCID: PMC11382426 DOI: 10.1186/s12943-024-02104-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 08/30/2024] [Indexed: 09/11/2024] Open
Abstract
CD8+ T cells are the workhorses executing adaptive anti-tumour response, and targets of various cancer immunotherapies. Latest advances have unearthed the sheer heterogeneity of CD8+ tumour infiltrating lymphocytes, and made it increasingly clear that the bulk of the endogenous and therapeutically induced tumour-suppressive momentum hinges on a particular selection of CD8+ T cells with advantageous attributes, namely the memory and stem-like exhausted subsets. A scrutiny of the contemporary perception of CD8+ T cells in cancer and the subgroups of interest along with the factors arbitrating their infiltration contextures, presented herein, may serve as the groundwork for future endeavours to probe further into the regulatory networks underlying their differentiation and migration, and optimise T cell-based immunotherapies accordingly.
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Affiliation(s)
- Yikan Sun
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Eloy Yinwang
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Shengdong Wang
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Zenan Wang
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Fangqian Wang
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Yucheng Xue
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Wenkan Zhang
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Shenzhi Zhao
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Haochen Mou
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Shixin Chen
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Lingxiao Jin
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Binghao Li
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China.
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China.
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China.
| | - Zhaoming Ye
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China.
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China.
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China.
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10
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Guo Y, Ren C, He Y, Wu Y, Yang X. Deciphering the spatiotemporal transcriptional landscape of intestinal diseases (Review). Mol Med Rep 2024; 30:157. [PMID: 38994768 PMCID: PMC11258600 DOI: 10.3892/mmr.2024.13281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 04/19/2024] [Indexed: 07/13/2024] Open
Abstract
The intestines are the largest barrier organ in the human body. The intestinal barrier plays a crucial role in maintaining the balance of the intestinal environment and protecting the intestines from harmful bacterial invasion. Single‑cell RNA sequencing technology allows the detection of the different cell types in the intestine in two dimensions and the exploration of cell types that have not been fully characterized. The intestinal mucosa is highly complex in structure, and its proper functioning is linked to multiple structures in the proximal‑distal intestinal and luminal‑mucosal axes. Spatial localization is at the core of the efforts to explore the interactions between the complex structures. Spatial transcriptomics (ST) is a method that allows for comprehensive tissue analysis and the acquisition of spatially separated genetic information from individual cells, while preserving their spatial location and interactions. This approach also prevents the loss of fragile cells during tissue disaggregation. The emergence of ST technology allows us to spatially dissect enzymatic processes and interactions between multiple cells, genes, proteins and signals in the intestine. This includes the exchange of oxygen and nutrients in the intestine, different gradients of microbial populations and the role of extracellular matrix proteins. This regionally precise approach to tissue studies is gaining more acceptance and is increasingly applied in the investigation of disease mechanisms related to the gastrointestinal tract. Therefore, this review summarized the application of ST in gastrointestinal diseases.
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Affiliation(s)
- Yajing Guo
- School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, P.R. China
| | - Chao Ren
- Graduate School, Hunan University of Traditional Chinese Medicine, Changsha, Hunan 410208, P.R. China
| | - Yuxi He
- Department of Digestive Medicine, Chongqing City Hospital of Traditional Chinese Medicine, Chongqing 400021, P.R. China
| | - Yue Wu
- Department of Digestive Medicine, Chongqing City Hospital of Traditional Chinese Medicine, Chongqing 400021, P.R. China
| | - Xiaojun Yang
- Department of Digestive Medicine, Chongqing City Hospital of Traditional Chinese Medicine, Chongqing 400021, P.R. China
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11
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Wu C, Zhang G, Wang L, Hu J, Ju Z, Tao H, Li Q, Li J, Zhang W, Sheng J, Hou X, Hu Y. Spatial proteomic profiling elucidates immune determinants of neoadjuvant chemo-immunotherapy in esophageal squamous cell carcinoma. Oncogene 2024; 43:2751-2767. [PMID: 39122893 DOI: 10.1038/s41388-024-03123-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 08/01/2024] [Accepted: 08/01/2024] [Indexed: 08/12/2024]
Abstract
Esophageal squamous cell carcinoma (ESCC) presents significant clinical and therapeutic challenges due to its aggressive nature and generally poor prognosis. We initiated a Phase II clinical trial (ChiCTR1900027160) to assess the efficacy of a pioneering neoadjuvant chemo-immunotherapy regimen comprising programmed death-1 (PD-1) blockade (Toripalimab), nanoparticle albumin-bound paclitaxel (nab-paclitaxel), and the oral fluoropyrimidine derivative S-1, in patients with locally advanced ESCC. This study uniquely integrates clinical outcomes with advanced spatial proteomic profiling using Imaging Mass Cytometry (IMC) to elucidate the dynamics within the tumor microenvironment (TME), focusing on the mechanistic interplay of resistance and response. Sixty patients participated, receiving the combination therapy prior to surgical resection. Our findings demonstrated a major pathological response (MPR) in 62% of patients and a pathological complete response (pCR) in 29%. The IMC analysis provided a detailed regional assessment, revealing that the spatial arrangement of immune cells, particularly CD8+ T cells and B cells within tertiary lymphoid structures (TLS), and S100A9+ inflammatory macrophages in fibrotic regions are predictive of therapeutic outcomes. Employing machine learning approaches, such as support vector machine (SVM) and random forest (RF) analysis, we identified critical spatial features linked to drug resistance and developed predictive models for drug response, achieving an area under the curve (AUC) of 97%. These insights underscore the vital role of integrating spatial proteomics into clinical trials to dissect TME dynamics thoroughly, paving the way for personalized and precise cancer treatment strategies in ESCC. This holistic approach not only enhances our understanding of the mechanistic basis behind drug resistance but also sets a robust foundation for optimizing therapeutic interventions in ESCC.
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Affiliation(s)
- Chao Wu
- Department of Medical Oncology, Senior Department of Oncology, Chinese PLA General Hospital, The Fifth Medical Center, Beijing, China
| | - Guoqing Zhang
- Department of Medical Oncology, Senior Department of Oncology, Chinese PLA General Hospital, The Fifth Medical Center, Beijing, China
| | - Lin Wang
- College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Jinlong Hu
- Department of Oncology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhongjian Ju
- Department of Radiation Oncology, Chinese PLA General Hospital, The First Medical Center, Beijing, China
| | - Haitao Tao
- Department of Medical Oncology, Senior Department of Oncology, Chinese PLA General Hospital, The Fifth Medical Center, Beijing, China
| | - Qing Li
- The Shapingba Affiliated Hospital, Chongqing University, Chongqing, China
| | - Jian Li
- Chengdu Medical College, Chengdu, China
| | - Wei Zhang
- Department of Medical Oncology, 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.
| | - Jianpeng Sheng
- College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
- Chinese Institutes for Medical Research, Beijing, China.
| | - Xiaobin Hou
- Department of Thoracic Surgery, Chinese PLA General Hospital, The First Medical Center, Beijing, China.
| | - Yi Hu
- Department of Medical Oncology, Senior Department of Oncology, Chinese PLA General Hospital, The Fifth Medical Center, Beijing, China.
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12
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Chen Y, Deng X, Li Y, Han Y, Peng Y, Wu W, Wang X, Ma J, Hu E, Zhou X, Shen E, Zeng S, Cai C, Qin Y, Shen H. Comprehensive molecular classification predicted microenvironment profiles and therapy response for HCC. Hepatology 2024; 80:536-551. [PMID: 38537130 PMCID: PMC11332383 DOI: 10.1097/hep.0000000000000869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Accepted: 02/07/2024] [Indexed: 06/06/2024]
Abstract
BACKGROUND AND AIMS Tumor microenvironment (TME) heterogeneity leads to a discrepancy in survival prognosis and clinical treatment response for patients with HCC. The clinical applications of documented molecular subtypes are constrained by several issues. APPROACH AND RESULTS We integrated 3 single-cell data sets to describe the TME landscape and identified 6 prognosis-related cell subclusters. Unsupervised clustering of subcluster-specific markers was performed to generate transcriptomic subtypes. The predictive value of these molecular subtypes for prognosis and treatment response was explored in multiple external HCC cohorts and the Xiangya HCC cohort. TME features were estimated using single-cell immune repertoire sequencing, mass cytometry, and multiplex immunofluorescence. The prognosis-related score was constructed based on a machine-learning algorithm. Comprehensive single-cell analysis described TME heterogeneity in HCC. The 5 transcriptomic subtypes possessed different clinical prognoses, stemness characteristics, immune landscapes, and therapeutic responses. Class 1 exhibited an inflamed phenotype with better clinical outcomes, while classes 2 and 4 were characterized by a lack of T-cell infiltration. Classes 5 and 3 indicated an inhibitory tumor immune microenvironment. Analysis of multiple therapeutic cohorts suggested that classes 5 and 3 were sensitive to immune checkpoint blockade and targeted therapy, whereas classes 1 and 2 were more responsive to transcatheter arterial chemoembolization treatment. Class 4 displayed resistance to all conventional HCC therapies. Four potential therapeutic agents and 4 targets were further identified for high prognosis-related score patients with HCC. CONCLUSIONS Our study generated a clinically valid molecular classification to guide precision medicine in patients with HCC.
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Affiliation(s)
- Yihong Chen
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xiangying Deng
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yin Li
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Ying Han
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yinghui Peng
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Wantao Wu
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xinwen Wang
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jiayao Ma
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Erya Hu
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xin Zhou
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Edward Shen
- Department of Life Science, McMaster University, Hamilton, Ontario, Canada
| | - Shan Zeng
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Changjing Cai
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yiming Qin
- Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Hong Shen
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
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13
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Chen J, Larsson L, Swarbrick A, Lundeberg J. Spatial landscapes of cancers: insights and opportunities. Nat Rev Clin Oncol 2024; 21:660-674. [PMID: 39043872 DOI: 10.1038/s41571-024-00926-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/28/2024] [Indexed: 07/25/2024]
Abstract
Solid tumours comprise many different cell types organized in spatially structured arrangements, with substantial intratumour and intertumour heterogeneity. Advances in spatial profiling technologies over the past decade hold promise to capture the complexity of these cellular architectures to build a holistic view of the intricate molecular mechanisms that shape the tumour ecosystem. Some of these mechanisms act at the cellular scale and are controlled by cell-autonomous programmes or communication between nearby cells, whereas other mechanisms result from coordinated efforts between large networks of cells and extracellular molecules organized into tissues and organs. In this Review we provide insights into the application of single-cell and spatial profiling tools, with a focus on spatially resolved transcriptomic tools developed to understand the cellular architecture of the tumour microenvironment and identify opportunities to use them to improve clinical management of cancers.
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Affiliation(s)
- Julia Chen
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia
- Department of Medical Oncology, St George Hospital, Sydney, New South Wales, Australia
| | - Ludvig Larsson
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden
| | - Alexander Swarbrick
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia.
| | - Joakim Lundeberg
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.
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14
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Cañellas-Socias A, Sancho E, Batlle E. Mechanisms of metastatic colorectal cancer. Nat Rev Gastroenterol Hepatol 2024; 21:609-625. [PMID: 38806657 DOI: 10.1038/s41575-024-00934-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/17/2024] [Indexed: 05/30/2024]
Abstract
Despite extensive research and improvements in understanding colorectal cancer (CRC), its metastatic form continues to pose a substantial challenge, primarily owing to limited therapeutic options and a poor prognosis. This Review addresses the emerging focus on metastatic CRC (mCRC), which has historically been under-studied compared with primary CRC despite its lethality. We delve into two crucial aspects: the molecular and cellular determinants facilitating CRC metastasis and the principles guiding the evolution of metastatic disease. Initially, we examine the genetic alterations integral to CRC metastasis, connecting them to clinically marked characteristics of advanced CRC. Subsequently, we scrutinize the role of cellular heterogeneity and plasticity in metastatic spread and therapy resistance. Finally, we explore how the tumour microenvironment influences metastatic disease, emphasizing the effect of stromal gene programmes and the immune context. The ongoing research in these fields holds immense importance, as its future implications are projected to revolutionize the treatment of patients with mCRC, hopefully offering a promising outlook for their survival.
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Affiliation(s)
- Adrià Cañellas-Socias
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Barcelona, Spain.
- Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University, Stanford, CA, USA.
| | - Elena Sancho
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Barcelona, Spain
| | - Eduard Batlle
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Barcelona, Spain.
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.
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15
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Jia B, Xue R, Li J, Guo J, Liu J. Novel insights into vancomycin-loaded calcium sulfate and negative pressure wound therapy in preventing infections in open fractures. J Orthop Surg Res 2024; 19:517. [PMID: 39198853 PMCID: PMC11360527 DOI: 10.1186/s13018-024-04931-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 07/18/2024] [Indexed: 09/01/2024] Open
Abstract
BACKGROUND Open fractures are challenging due to susceptibility to Staphylococcus aureus infections. This study examines the impact of Vancomycin-Loaded Calcium Sulfate (VLCS) and negative pressure wound therapy (NPWT) on macrophage behavior in enhancing healing and infection resistance. Both VLCS and NPWT were evaluated individually and in combination to determine their effects on macrophage polarization and infection resistance in open fractures. METHODS Through single-cell RNA sequencing, genomic expressions in macrophages from open fracture patients treated with VLCS and NPWT were compared to a control group. The analysis focused on MBD2 gene changes related to macrophage polarization. RESULTS Remarkable modifications in MBD2 expression in the treatment group indicate a shift towards M2 macrophage polarization. Additionally, the combined treatment group exhibited greater improvements in infection resistance and healing compared to the individual treatments. This shift suggests a healing-promoting atmosphere with improved infection resilience. CONCLUSIONS VLCS and NPWT demonstrate the ability to alter macrophage behavior toward M2 polarization, which is crucial for infection prevention in open fractures. The synergistic effect of their combined use shows even greater promise in enhancing outcomes in orthopedic trauma care.
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Affiliation(s)
- Bei Jia
- Nosocomial Infection Management Department, Hebei Medical University First Hospital, No. 89 Donggang Road, Yuhua District, Shijiazhuang City, China
| | - Rui Xue
- Department of Orthopaedic Suigery, Hebei Medical University Third Hospital, No. 139 ZiQiang Road, QiaoXi District, Shijiazhuang City, Hebei Province, China
| | - Jia Li
- Department of Orthopaedic Suigery, Hebei Medical University Third Hospital, No. 139 ZiQiang Road, QiaoXi District, Shijiazhuang City, Hebei Province, China
| | - Jichao Guo
- Department of Orthopaedic Suigery, Hebei Medical University Third Hospital, No. 139 ZiQiang Road, QiaoXi District, Shijiazhuang City, Hebei Province, China
| | - Jianning Liu
- Department of Orthopaedic Suigery, Hebei Medical University Third Hospital, No. 139 ZiQiang Road, QiaoXi District, Shijiazhuang City, Hebei Province, China.
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16
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Zhang TL, Zheng BW, Xia C, Wu PF, Zheng BY, Jiang LX, Li J, Lv GH, Zhou H, Huang W, Zou MX. Hypoxic Upregulation of IER2 Increases Paracrine GMFG Signaling of Endoplasmic Reticulum Stress-CAF to Promote Chordoma Progression via Targeting ITGB1. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2405421. [PMID: 39207055 DOI: 10.1002/advs.202405421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 07/27/2024] [Indexed: 09/04/2024]
Abstract
Currently, the oncogenic mechanism of endoplasmic reticulum stress-CAF (ERS-CAF) subpopulation in chordoma remains unknown. Here, single-cell RNA sequencing, spatial transcriptomics, GeoMx Digital Spatial Profiler, data-independent acquisition proteomics, bulk RNA-seq, and multiplexed quantitative immunofluorescence are used to unveil the precise molecular mechanism of how ERS-CAF affected chordoma progression. Results show that hypoxic microenvironment reprograms CAFs into ERS-CAF subtype. Mechanistically, this occurrs via hypoxia-mediated transcriptional upregulation of IER2. Overexpression of IER2 in CAFs promotes chordoma progression, which can be impeded by IER2 knockdown or use of ERS inhibitors. IER2 also induces expression of ERS-CAF marker genes and results in production of a pro-tumorigenic paracrine GMFG signaling, which exert its biological function via directly binding to ITGB1 on tumor cells. ITGB1 inhibition attenuates tumor malignant progression, which can be partially reversed by exogenous GMFG intervention. Further analyses reveal a positive correlation between ITGB1high tumor cell counts and SPP1+ macrophage density, as well as the spatial proximity of these two cell types. Clinically, a significant correlation of high IER2/ITGB1 expression with tumor aggressive phenotype and poor patient survival is observed. Collectively, the findings suggest that ERS-CAF regulates SPP1+ macrophage to aggravate chordoma progression via the IER2/GMFG/ITGB1 axis, which may be targeted therapeutically in future.
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Affiliation(s)
- Tao-Lan Zhang
- Department of Pharmacy, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, 421001, China
| | - Bo-Wen Zheng
- Department of Pharmacy, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, 421001, China
- Musculoskeletal Tumor Center, Peking University People's Hospital, Peking University, Beijing, 100044, China
| | - Chao Xia
- Department of Spine Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, 421001, China
| | - Peng-Fei Wu
- Department of Genetics and Endocrinology, National Children's Medical Center for South Central Region, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, 510623, China
| | - Bo-Yv Zheng
- Department of Orthopedics Surgery, General Hospital of the Central Theater Command, Wuhan, 430061, China
| | - Ling-Xiang Jiang
- Department of Radiation Oncology, Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Jing Li
- Department of Spine Surgery, The Second Xiangya Hospital, Central South University, Changsha, 410011, China
| | - Guo-Hua Lv
- Department of Spine Surgery, The Second Xiangya Hospital, Central South University, Changsha, 410011, China
| | - Hong Zhou
- Department of Radiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, 421001, China
| | - Wei Huang
- The First Affiliated Hospital, Health Management Center, Hengyang Medical School, University of South China, Hengyang, 421001, China
| | - Ming-Xiang Zou
- Department of Spine Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, 421001, China
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17
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Tang X, Zhang Y, Zhang H, Zhang N, Dai Z, Cheng Q, Li Y. Single-Cell Sequencing: High-Resolution Analysis of Cellular Heterogeneity in Autoimmune Diseases. Clin Rev Allergy Immunol 2024:10.1007/s12016-024-09001-6. [PMID: 39186216 DOI: 10.1007/s12016-024-09001-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/20/2024] [Indexed: 08/27/2024]
Abstract
Autoimmune diseases (AIDs) are complex in etiology and diverse in classification but clinically show similar symptoms such as joint pain and skin problems. As a result, the diagnosis is challenging, and usually, only broad treatments can be available. Consequently, the clinical responses in patients with different types of AIDs are unsatisfactory. Therefore, it is necessary to conduct more research to figure out the pathogenesis and therapeutic targets of AIDs. This requires research technologies with strong extraction and prediction capabilities. Single-cell sequencing technology analyses the genomic, epigenomic, or transcriptomic information at the single-cell level. It can define different cell types and states in greater detail, further revealing the molecular mechanisms that drive disease progression. These advantages enable cell biology research to achieve an unprecedented resolution and scale, bringing a whole new vision to life science research. In recent years, single-cell technology especially single-cell RNA sequencing (scRNA-seq) has been widely used in various disease research. In this paper, we present the innovations and applications of single-cell sequencing in the medical field and focus on the application contributing to the differential diagnosis and precise treatment of AIDs. Despite some limitations, single-cell sequencing has a wide range of applications in AIDs. We finally present a prospect for the development of single-cell sequencing. These ideas may provide some inspiration for subsequent research.
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Affiliation(s)
- Xuening Tang
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
| | - Yudi Zhang
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China
| | - Hao Zhang
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, 400010, China
| | - Nan Zhang
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Ziyu Dai
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
| | - Quan Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
| | - Yongzhen Li
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
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Kang H, Gu X, Cao S, Tong Z, Song N. Integrated multi-omics analyses reveal the pro-inflammatory and pro-fibrotic pulmonary macrophage subcluster in silicosis. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 284:116899. [PMID: 39181076 DOI: 10.1016/j.ecoenv.2024.116899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 08/10/2024] [Accepted: 08/15/2024] [Indexed: 08/27/2024]
Abstract
BACKGROUND Silicosis is a lethal occupational disease caused by long-term exposure to respirable silica dust. Pulmonary macrophages play a crucial role in mediating the initiation of silicosis. However, the phenotypic and functional heterogeneities of pulmonary macrophages in silicosis have not been well-studied. METHODS The silicosis mouse model was established by intratracheal administration of silica suspension. Bronchoalveolar lavage fluids (BALFs) of mice were collected for the multiplex cytokine analysis. Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics were performed to reveal the heterogeneity and spatial localization of macrophages in the lung tissues. The formation of the fibrotic nodules was characterized by histology, hydroxyproline assay, and immunohistochemical staining, respectively. The expression of the pro-inflammatory or pro-fibrotic genes was investigated by quantitative polymerase chain reaction (qPCR). RESULTS We found that the level of pro-inflammatory cytokines and chemokines is significantly increased in the BALFs of silicosis mice. Apparent collagen deposition can also be observed in the silicotic lung tissues. By scRNA-seq, we have identified a subpopulation of Mmp12hi macrophages significantly expanding in the lung tissues of mice with silicosis. Spatial transcriptomics analysis further confirmed that the Mmp12hi macrophages are mainly enriched in silicosis nodules. Pseudotime trajectory showed that these Mmp12hi macrophages, highly expressing both pro-inflammatory and pro-fibrotic genes, are derived from Ly6c+ monocytes. Additionally, 4-octyl itaconate (4-OI) treatment, which can alleviate pulmonary fibrosis in silicosis mice, also reduces the enrichment of the Mmp12hi macrophages. Moreover, we found a subset of macrophages in BALFs derived from patients with silicosis exhibited similar characteristics of Mmp12hi macrophages in silicosis mice models. CONCLUSIONS Our study suggested that a group of Mmp12hi macrophages highly express both pro-inflammatory and pro-fibrotic factors in silicosis mice, and thus may contribute to the progression of fibrosis. The findings have proposed new insights for understanding the heterogeneity of lung macrophages in silicosis, suggesting that the subset of Mmp12hi macrophages may be a potential therapy target to further halt the progression of silicosis.
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Affiliation(s)
- Hanyujie Kang
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Xueqing Gu
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Siyu Cao
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Zhaohui Tong
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
| | - Nan Song
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China; Medical Research Center, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
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Chen Z, Hu J, Ou Y, Ye F, Li W, Liu S, Jiang H. Integrating single-cell transcriptomics to reveal the ferroptosis regulators in the tumor microenvironment that contribute to bladder urothelial carcinoma progression and immunotherapy. Front Immunol 2024; 15:1427124. [PMID: 39238647 PMCID: PMC11375220 DOI: 10.3389/fimmu.2024.1427124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Accepted: 07/29/2024] [Indexed: 09/07/2024] Open
Abstract
Background Ferroptosis, as a novel form of programmed cell death, plays a crucial role in the occurrence and development of bladder cancer (BCa). However, the regulatory mechanisms of ferroptosis in the tumor microenvironment (TME) of BCa remain to be elucidated. Methods Based on single-cell RNA (scRNA) transcriptomic data of BCa, we employed non-negative matrix factorization (NMF) dimensionality reduction clustering to identify novel ferroptosis-related cell subtypes within the BCa TME, aiming to explore the biological characteristics of these TME cell subtypes. Subsequently, we conducted survival analysis and univariate Cox regression analysis to explore the prognostic significance of these cell subtypes. We investigated the relationship between specific subtypes and immune infiltration, as well as their implications for immunotherapy. Finally, we discovered a valuable and novel biomarker for BCa, supported by a series of in vitro experiments. Results We subdivided cancer-associated fibroblasts (CAFs), macrophages, and T cells into 3-5 small subpopulations through NMF and further explored the biological features. We found that ferroptosis played an important role in the BCa TME. Through bulk RNA-seq analysis, we further verified that ferroptosis affected the progression, prognosis, and immunotherapy response of BCa by regulating the TME. Especially ACSL4+CAFs, we found that high-level infiltration of this CAF subtype predicted worse prognosis, more complex immune infiltration, and less response for immunotherapy. Additionally, we found that this type of CAF was associated with cancer cells through the PTN-SDC1 axis, suggesting that SDC1 may be crucial in regulating CAFs in cancer cells. A series of in vitro experiments confirmed these inferences: SDC1 promoted the progression of BCa. Interestingly, we also discovered FTH1+ macrophages, which were closely related to SPP1+ macrophages and may also be involved in the regulation of BCa TME. Conclusion This study revealed the significant impact of ferroptosis on bladder cancer TME and identified novel ferroptosis-related TME cell subpopulations, ACSL4+CAFs, and important BCa biomarker SDC1.
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Affiliation(s)
- Ziang Chen
- Department of Urology, Huashan Hospital, Fudan University, Shanghai, China
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jia Hu
- Department of Anesthesiology, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, Anhui, China
| | - Yuxi Ou
- Department of Urology, Huashan Hospital, Fudan University, Shanghai, China
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
| | - Fangdie Ye
- Department of Urology, Huashan Hospital, Fudan University, Shanghai, China
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
| | - Weijian Li
- Department of Urology, Huashan Hospital, Fudan University, Shanghai, China
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
| | - Shenghua Liu
- Department of Urology, Huashan Hospital, Fudan University, Shanghai, China
| | - Haowen Jiang
- Department of Urology, Huashan Hospital, Fudan University, Shanghai, China
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
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20
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Zhou J, Song Q, Li H, Han Y, Pu Y, Li L, Rong W, Liu X, Wang Z, Sun J, Song Y, Hu X, Zhu G, Zhu H, Yang L, Ge G, Li H, Ji Q. Targeting circ-0034880-enriched tumor extracellular vesicles to impede SPP1 highCD206 + pro-tumor macrophages mediated pre-metastatic niche formation in colorectal cancer liver metastasis. Mol Cancer 2024; 23:168. [PMID: 39164758 PMCID: PMC11334400 DOI: 10.1186/s12943-024-02086-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Accepted: 08/13/2024] [Indexed: 08/22/2024] Open
Abstract
BACKGROUND Information transmission between primary tumor cells and immunocytes or stromal cells in distal organs is a critical factor in the formation of pre-metastatic niche (PMN). Understanding this mechanism is essential for developing effective therapeutic strategy against tumor metastasis. Our study aims to prove the hypothesis that circ-0034880-enriched tumor-derived extracellular vesicles (TEVs) mediate the formation of PMN and colorectal cancer liver metastasis (CRLM), and targeting circ-0034880-enriched TEVs might be an effective therapeutic strategy against PMN formation and CRLM. METHODS We utilized qPCR and FISH to measure circRNAs expression levels in human CRC plasma, primary CRC tissues, and liver metastatic tissues. Additionally, we employed immunofluorescence, RNA sequencing, and in vivo experiments to assess the effect mechanism of circ-0034880-enriched TEVs on PMN formation and CRC metastasis. DARTS, CETSA and computational docking modeling were applied to explore the pharmacological effects of Ginsenoside Rb1 in impeding PMN formation. RESULTS We found that circ-0034880 was highly enriched in plasma extracellular vesicles (EVs) derived from CRC patients and closely associated with CRLM. Functionally, circ-0034880-enriched TEVs entered the liver tissues and were absorbed by macrophages in the liver through bloodstream. Mechanically, TEVs-released circ-0034880 enhanced the activation of SPP1highCD206+ pro-tumor macrophages, reshaping the metastasis-supportive host stromal microenvironment and promoting overt metastasis. Importantly, our mechanistic findings led us to discover that the natural product Ginsenoside Rb1 impeded the activation of SPP1highCD206+ pro-tumor macrophages by reducing circ-0034880 biogenesis, thereby suppressing PMN formation and inhibiting CRLM. CONCLUSIONS Circ-0034880-enriched TEVs facilitate strong interaction between primary tumor cells and SPP1highCD206+ pro-tumor macrophages, promoting PMN formation and CRLM. These findings suggest the potential of using Ginsenoside Rb1 as an alternative therapeutic agent to reshape PMN formation and prevent CRLM.
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Affiliation(s)
- Jing Zhou
- Department of Medical Oncology & Cancer Institute of Integrative Medicine, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
- Liver Disease Department of Integrative Medicine, Ningbo No. 2 Hospital, Ningbo, Zhejiang, 315010, China
| | - Qing Song
- Department of Medical Oncology, Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Jiangsu, 215007, China
| | - Haoze Li
- Department of Medical Oncology & Cancer Institute of Integrative Medicine, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Yicun Han
- Department of Medical Oncology & Cancer Institute of Integrative Medicine, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Yunzhou Pu
- Department of Medical Oncology & Cancer Institute of Integrative Medicine, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Ling Li
- Department of Medical Oncology & Cancer Institute of Integrative Medicine, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Wenqing Rong
- Department of Medical Oncology & Cancer Institute of Integrative Medicine, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Xiaodie Liu
- Department of Medical Oncology & Cancer Institute of Integrative Medicine, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Ziyuan Wang
- Department of Pathology, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Jian Sun
- Department of Peripheral Vascular Disease, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Yuqing Song
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Xueyan Hu
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Guanghao Zhu
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Huirong Zhu
- Department of Medical Oncology & Cancer Institute of Integrative Medicine, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Liu Yang
- Department of Oncology, Baoshan Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
| | - Guangbo Ge
- Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
| | - Hongshan Li
- Liver Disease Department of Integrative Medicine, Ningbo No. 2 Hospital, Ningbo, Zhejiang, 315010, China.
| | - Qing Ji
- Department of Medical Oncology & Cancer Institute of Integrative Medicine, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
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Tang Y, Zhuo D, Yu Y, Pu W, Ma Y, Zhang Y, Huang Y, Zhang Q, Tang K, Meng C, Yang D, Bai L, He D, Jin L, Zou H, Xu H, Zhu Q, Wang J, Chen Y, Liu J. Single-cell RNA sequencing reveals the CRTAC1 + population actively contributes to the pathogenesis of spinal ligament degeneration by SPP1 + macrophage. Aging Cell 2024:e14320. [PMID: 39158018 DOI: 10.1111/acel.14320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 07/12/2024] [Accepted: 08/07/2024] [Indexed: 08/20/2024] Open
Abstract
Degenerative spinal stenosis is a chronic disease that affects the spinal ligaments and associated bones, resulting in back pain and disorders of the limbs among the elderly population. There are few preventive strategies for such ligament degeneration. We here aimed to establish a comprehensive transcriptomic atlas of ligament tissues to identify high-priority targets for pharmaceutical treatment of ligament degeneration. Here, single-cell RNA sequencing was performed on six degenerative ligaments and three traumatic ligaments to understand tissue heterogeneity. After stringent quality control, high-quality data were obtained from 32,014 cells. Distinct cell clusters comprising stromal and immune cells were identified in ligament tissues. Among them, we noted that collagen degradation associated with CTHRC1+ fibroblast-like cells and calcification linked to CRTAC1+ chondrocyte-like cells were key features of ligament degeneration. SCENIC analysis and further experiments identified ATF3 as a key transcription factor regulating the pathogenesis of CRTAC1+ chondrocyte-like cells. Typically, immune cells infiltrate localized organs, causing tissue damage. In our study, myeloid cells were found to be inflammatory-activated, and SPP1+ macrophages were notably enriched in degenerative ligaments. Further exploration via CellChat analysis demonstrated a robust interaction between SPP1+ macrophages and CRTAC1+ chondrocyte-like cells. Activated by SPP1, ATF3 propels the CRTAC1/MGP/CLU axis, fostering ligament calcification. Our unique resource provides novel insights into possible mechanisms underlying ligament degeneration, the target cell types, and molecules that are expected to mitigate degenerative spinal ligament. We also highlight the role of immune regulation in ligament degeneration and calcification, enhancing our understanding of this disease.
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Affiliation(s)
- Yulong Tang
- Shanghai Key Laboratory of Vascular Lesions and Remodeling, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, and Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China
| | - Dachun Zhuo
- Shanghai Key Laboratory of Vascular Lesions and Remodeling, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, and Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China
| | - Yuexin Yu
- Shanghai Key Laboratory of Vascular Lesions and Remodeling, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, and Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China
| | - Weilin Pu
- State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China
- Greater Bay Area Institute of Precision Medicine (Guangzhou), School of Life Sciences, Fudan University, Guangzhou, China
| | - Yanyun Ma
- Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China
- Research Unit of Dissecting the Population Genetics and Developing New Technologies for Treatment and Prevention of Skin Phenotypes and Dermatological Diseases (2019RU058), Chinese Academy of Medical Sciences, Beijing, China
| | - Yuting Zhang
- State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China
| | - Yan Huang
- State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China
| | - Qing Zhang
- State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China
| | - Kunhai Tang
- State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China
| | - Chen Meng
- Shanghai Key Laboratory of Vascular Lesions and Remodeling, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, and Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China
| | - Di Yang
- Shanghai Key Laboratory of Vascular Lesions and Remodeling, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, and Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China
| | - Lu Bai
- Shanghai Key Laboratory of Vascular Lesions and Remodeling, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, and Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China
| | - Dongyi He
- Institute of Arthritis Research, Shanghai Academy of Chinese Medical Sciences, Guanghua Integrative Medicine Hospital, Shanghai, China
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China
- Research Unit of Dissecting the Population Genetics and Developing New Technologies for Treatment and Prevention of Skin Phenotypes and Dermatological Diseases (2019RU058), Chinese Academy of Medical Sciences, Beijing, China
| | - Hejian Zou
- Division of Rheumatology, Huashan Hospital, and Institute of Rheumatology, Immunology and Allergy, Fudan University, Shanghai, China
| | - Huji Xu
- Department of Rheumatology and Immunology, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Qi Zhu
- Institute of Arthritis Research, Shanghai Academy of Chinese Medical Sciences, Guanghua Integrative Medicine Hospital, Shanghai, China
- Department of Rheumatology, Shanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, China
| | - Jiucun Wang
- State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China
- Research Unit of Dissecting the Population Genetics and Developing New Technologies for Treatment and Prevention of Skin Phenotypes and Dermatological Diseases (2019RU058), Chinese Academy of Medical Sciences, Beijing, China
- Division of Rheumatology, Huashan Hospital, and Institute of Rheumatology, Immunology and Allergy, Fudan University, Shanghai, China
| | - Yuanyuan Chen
- Orthopedic Department, Shanghai Sixth People's Hospital, Shanghai Jiaotong University Affiliated, Shanghai, China
- Orthopaedic Department, People's Hospital of Shigatse City, Shigatse, China
| | - Jing Liu
- Shanghai Key Laboratory of Vascular Lesions and Remodeling, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, and Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China
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Liu B, Hu S, Wang X. Applications of single-cell technologies in drug discovery for tumor treatment. iScience 2024; 27:110486. [PMID: 39171294 PMCID: PMC11338156 DOI: 10.1016/j.isci.2024.110486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/23/2024] Open
Abstract
Single-cell technologies have been known as advanced and powerful tools to study tumor biological systems at the single-cell resolution and are playing increasingly critical roles in multiple stages of drug discovery and development. Specifically, single-cell technologies can promote the discovery of drug targets, help high-throughput screening at single-cell level, and contribute to pharmacokinetic studies of anti-tumor drugs. Emerging single-cell analysis technologies have been developed to further integrating multidimensional single-cell molecular features, expanding the scale of single-cell data, profiling phenotypic impact of genes in single cell, and providing full-length coverage single-cell sequencing. In this review, we systematically summarized the applications of single-cell technologies in various sections of drug discovery for tumor treatment, including target identification, high-throughput drug screening, and pharmacokinetic evaluation and highlighted emerging single-cell technologies in providing in-depth understanding of tumor biology. Single-cell-technology-based drug discovery is expected to further optimize therapeutic strategies and improve clinical outcomes of tumor patients.
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Affiliation(s)
- Bingyu Liu
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250021, China
| | - Shunfeng Hu
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250021, China
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Xin Wang
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250021, China
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
- Taishan Scholars Program of Shandong Province, Jinan, Shandong 250021, China
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Chu X, Li X, Zhang Y, Dang G, Miao Y, Xu W, Wang J, Zhang Z, Cheng S. Integrative single-cell analysis of human colorectal cancer reveals patient stratification with distinct immune evasion mechanisms. NATURE CANCER 2024:10.1038/s43018-024-00807-z. [PMID: 39147986 DOI: 10.1038/s43018-024-00807-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 07/16/2024] [Indexed: 08/17/2024]
Abstract
The tumor microenvironment (TME) considerably influences colorectal cancer (CRC) progression, therapeutic response and clinical outcome, but studies of interindividual heterogeneities of the TME in CRC are lacking. Here, by integrating human colorectal single-cell transcriptomic data from approximately 200 donors, we comprehensively characterized transcriptional remodeling in the TME compared to noncancer tissues and identified a rare tumor-specific subset of endothelial cells with T cell recruitment potential. The large sample size enabled us to stratify patients based on their TME heterogeneity, revealing divergent TME subtypes in which cancer cells exploit different immune evasion mechanisms. Additionally, by associating single-cell transcriptional profiling with risk genes identified by genome-wide association studies, we determined that stromal cells are major effector cell types in CRC genetic susceptibility. In summary, our results provide valuable insights into CRC pathogenesis and might help with the development of personalized immune therapies.
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Affiliation(s)
| | | | - Yu Zhang
- Changping Laboratory, Beijing, China
| | - Guohui Dang
- Changping Laboratory, Beijing, China
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | | | - Wenbin Xu
- Changping Laboratory, Beijing, China
| | | | - Zemin Zhang
- BIOPIC, Beijing Advanced Innovation Center for Genomics, School of Life Sciences, Peking University, Beijing, China.
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
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Zhao S, Ni K, Xie J, Cheng C, Zhao N, Liu J, Ji W, Wang Q, Zhang P, Liu Y. Exploring the prognostic value of BRMS1 + microglia based on single-cell anoikis regulator patterns in the immunologic microenvironment of GBM. J Neurooncol 2024:10.1007/s11060-024-04781-5. [PMID: 39143438 DOI: 10.1007/s11060-024-04781-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Accepted: 07/12/2024] [Indexed: 08/16/2024]
Abstract
BACKGROUND Anoikis is a specialized form of programmed cell death induced by the loss of cell adhesion to the extracellular matrix (ECM). Acquisition of anoikis resistance is a significant marker for cancer cell invasion, metastasis, therapy resistance, and recurrence. Although current research has identified multiple factors that regulate anoikis resistance, the pathological mechanisms of anoikis-mediated tumor microenvironment (TME) in glioblastoma (GBM) remain largely unexplored. METHODS Utilizing single-cell RNA sequencing (scRNA-seq) data and employing non-negative matrix factorization (NMF), we identified and characterized TME cell clusters with distinct anoikis-associated gene signatures. Prognostic and therapeutic response analyses were conducted using TCGA and CGGA datasets to assess the clinical significance of different TME cell clusters. The spatial relationship between BRMS1 + microglia and tumor cells was inferred from spatial transcriptome RNA sequencing (stRNA-seq) data. To simulate the tumor immune microenvironment, co-culture experiments were performed with microglia (HMC3) and GBM cells (U118/U251), and microglia were transfected with a BRMS1 overexpression lentivirus. Western blot or ELISA were used to detect BRMS1, M2 macrophage-specific markers, PI3K/AKT signaling proteins, and apoptosis-related proteins. The proliferation and apoptosis capabilities of tumor cells were evaluated using CCK-8, colony formation, and apoptosis assays, while the invasive and migratory abilities of tumor cells were assessed using Transwell assays. RESULTS NMF-based analysis successfully identified CD8 + T cell and microglia cell clusters with distinct gene signature characteristics. Trajectory analysis, cell communication, and gene regulatory network analyses collectively indicated that anoikis-mediated TME cell clusters can influence tumor cell development through various mechanisms. Notably, BRMS1 + AP-Mic exhibited an M2 macrophage phenotype and had significant cell communication with malignant cells. Moreover, high expression of BRMS1 + AP-Mic in TCGA and CGGA datasets was associated with poorer survival outcomes, indicating its detrimental impact on immunotherapy. Upregulation of BRMS1 in microglia may lead to M2 macrophage polarization, activate the PI3K/AKT signaling pathway through SPP1/CD44-mediated cell interactions, inhibit tumor cell apoptosis, and promote tumor proliferation and invasion. CONCLUSION This pioneering study used NMF-based analysis to reveal the important predictive value of anoikis-regulated TME in GBM for prognosis and immunotherapeutic response. BRMS1 + microglial cells provide a new perspective for a deeper understanding of the immunosuppressive microenvironment of GBM and could serve as a potential therapeutic target in the future.
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Affiliation(s)
- Songyun Zhao
- Department of Neurosurgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
- Wuxi Medical Center of Nanjing Medical University, Wuxi, China
| | - Kaixiang Ni
- Department of Neurosurgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
- Wuxi Medical Center of Nanjing Medical University, Wuxi, China
| | - Jiaheng Xie
- Department of Plastic Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Chao Cheng
- Department of Neurosurgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
- Wuxi Medical Center of Nanjing Medical University, Wuxi, China
| | - Ning Zhao
- Wuxi Medical Center of Nanjing Medical University, Wuxi, China
| | - Jinhui Liu
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Wei Ji
- Department of Neurosurgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
- Wuxi Medical Center of Nanjing Medical University, Wuxi, China
| | - Qi Wang
- Department of Gastroenterology, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Pengpeng Zhang
- Department of Lung Cancer Surgery, Tianjin Lung Cancer Center, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
| | - Yuankun Liu
- Department of Neurosurgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
- Wuxi Medical Center of Nanjing Medical University, Wuxi, China.
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25
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Stary V, Pandey RV, List J, Kleissl L, Deckert F, Kabiljo J, Laengle J, Gerakopoulos V, Oehler R, Watzke L, Farlik M, Lukowski SW, Vogt AB, Stary G, Stockinger H, Bergmann M, Pilat N. Dysfunctional tumor-infiltrating Vδ1 + T lymphocytes in microsatellite-stable colorectal cancer. Nat Commun 2024; 15:6949. [PMID: 39138181 PMCID: PMC11322529 DOI: 10.1038/s41467-024-51025-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 07/24/2024] [Indexed: 08/15/2024] Open
Abstract
Although γδ T cells are known to participate in immune dysregulation in solid tumors, their relevance to human microsatellite-stable (MSS) colorectal cancer (CRC) is still undefined. Here, using integrated gene expression analysis and T cell receptor sequencing, we characterized γδ T cells in MSS CRC, with a focus on Vδ1 + T cells. We identified Vδ1+ T cells with shared motifs in the third complementarity-determining region of the δ-chain, reflective of antigen recognition. Changes in gene and protein expression levels suggested a dysfunctional effector state of Vδ1+ T cells in MSS CRC, distinct from Vδ1+ T cells in microsatellite-instable (MSI). Interaction analysis highlighted an immunosuppressive role of fibroblasts in the dysregulation of Vδ1+ T cells in MSS CRC via the TIGIT-NECTIN2 axis. Blocking this pathway with a TIGIT antibody partially restored cytotoxicity of the dysfunctional Vδ1 phenotype. These results define an operative pathway in γδ T cells in MSS CRC.
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MESH Headings
- Humans
- Colorectal Neoplasms/immunology
- Colorectal Neoplasms/genetics
- Colorectal Neoplasms/pathology
- Lymphocytes, Tumor-Infiltrating/immunology
- Receptors, Immunologic/genetics
- Receptors, Immunologic/metabolism
- Receptors, Immunologic/immunology
- Microsatellite Instability
- Receptors, Antigen, T-Cell, gamma-delta/genetics
- Receptors, Antigen, T-Cell, gamma-delta/immunology
- Receptors, Antigen, T-Cell, gamma-delta/metabolism
- Microsatellite Repeats/genetics
- Gene Expression Regulation, Neoplastic
- Female
- Male
- Complementarity Determining Regions/genetics
- Complementarity Determining Regions/immunology
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Affiliation(s)
- Victoria Stary
- Medical University of Vienna, Department of General Surgery, Division of Visceral Surgery, Comprehensive Cancer Center, Vienna, Austria.
- Medical University of Vienna, Center for Pathophysiology, Infectiology and Immunology, Institute for Hygiene and Applied Immunology, Vienna, Austria.
| | - Ram V Pandey
- Medical University of Vienna, Department of Dermatology, Vienna, Austria
| | - Julia List
- Medical University of Vienna, Department of General Surgery, Division of Visceral Surgery, Comprehensive Cancer Center, Vienna, Austria
| | - Lisa Kleissl
- Medical University of Vienna, Department of Dermatology, Vienna, Austria
| | - Florian Deckert
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Julijan Kabiljo
- Medical University of Vienna, Department of General Surgery, Division of Visceral Surgery, Comprehensive Cancer Center, Vienna, Austria
| | - Johannes Laengle
- Medical University of Vienna, Department of General Surgery, Division of Visceral Surgery, Comprehensive Cancer Center, Vienna, Austria
| | - Vasileios Gerakopoulos
- Medical University of Vienna, Department of General Surgery, Division of Visceral Surgery, Comprehensive Cancer Center, Vienna, Austria
| | - Rudolf Oehler
- Medical University of Vienna, Department of General Surgery, Division of Visceral Surgery, Comprehensive Cancer Center, Vienna, Austria
| | - Lukas Watzke
- Medical University of Vienna, Department of Pathology, Vienna, Austria
| | - Matthias Farlik
- Medical University of Vienna, Department of Dermatology, Vienna, Austria
| | - Samuel W Lukowski
- Department of Human Cancer Immunology, Boehringer Ingelheim RCV GmBH & Co KG., Dr. Boehringer Gasse 5-11, 1120, Vienna, Austria
| | - Anne B Vogt
- Department of Human Cancer Immunology, Boehringer Ingelheim RCV GmBH & Co KG., Dr. Boehringer Gasse 5-11, 1120, Vienna, Austria
| | - Georg Stary
- Medical University of Vienna, Department of Dermatology, Vienna, Austria
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Hannes Stockinger
- Medical University of Vienna, Center for Pathophysiology, Infectiology and Immunology, Institute for Hygiene and Applied Immunology, Vienna, Austria
| | - Michael Bergmann
- Medical University of Vienna, Department of General Surgery, Division of Visceral Surgery, Comprehensive Cancer Center, Vienna, Austria
| | - Nina Pilat
- Medical University of Vienna, Department of General Surgery, Division of Visceral Surgery, Comprehensive Cancer Center, Vienna, Austria
- Medical University of Vienna, Department of Cardiac Surgery, Vienna, Austria
- Medical University of Vienna, Center for Biomedical Research and Translational Surgery, Vienna, Austria
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26
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Jing SY, Liu D, Feng N, Dong H, Wang HQ, Yan X, Chen XF, Qu MC, Lin P, Yi B, Feng F, Chen L, Wang HY, Li H, He YF. Spatial multiomics reveals a subpopulation of fibroblasts associated with cancer stemness in human hepatocellular carcinoma. Genome Med 2024; 16:98. [PMID: 39138551 PMCID: PMC11320883 DOI: 10.1186/s13073-024-01367-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 07/23/2024] [Indexed: 08/15/2024] Open
Abstract
BACKGROUND Cancer-associated fibroblasts (CAFs) are the prominent cell type in the tumor microenvironment (TME), and CAF subsets have been identified in various tumors. However, how CAFs spatially coordinate other cell populations within the liver TME to promote cancer progression remains unclear. METHODS We combined multi-region proteomics (6 patients, 24 samples), 10X Genomics Visium spatial transcriptomics (11 patients, 25 samples), and multiplexed imaging (92 patients, 264 samples) technologies to decipher the expression heterogeneity, functional diversity, spatial distribution, colocalization, and interaction of fibroblasts. The newly identified CAF subpopulation was validated by cells isolated from 5 liver cancer patients and in vitro functional assays. RESULTS We identified a liver CAF subpopulation, marked by the expression of COL1A2, COL4A1, COL4A2, CTGF, and FSTL1, and named F5-CAF. F5-CAF is preferentially located within and around tumor nests and colocalizes with cancer cells with higher stemness in hepatocellular carcinoma (HCC). Multiplexed staining of 92 patients and the bulk transcriptome of 371 patients demonstrated that the abundance of F5-CAFs in HCC was associated with a worse prognosis. Further in vitro experiments showed that F5-CAFs isolated from liver cancer patients can promote the proliferation and stemness of HCC cells. CONCLUSIONS We identified a CAF subpopulation F5-CAF in liver cancer, which is associated with cancer stemness and unfavorable prognosis. Our results provide potential mechanisms by which the CAF subset in the TME promotes the development of liver cancer by supporting the survival of cancer stem cells.
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Affiliation(s)
- Si-Yu Jing
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, People's Republic of China
| | - Dan Liu
- Molecular Pathology Laboratory, National Center for Liver Cancer, Eastern Hepatobiliary Surgery Hospital, Shanghai, 201800, People's Republic of China
- Cancer Institute, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, People's Republic of China
| | - Na Feng
- Molecular Pathology Laboratory, National Center for Liver Cancer, Eastern Hepatobiliary Surgery Hospital, Shanghai, 201800, People's Republic of China
| | - Hui Dong
- Department of Pathology, Eastern Hepatobiliary Surgery Hospital, Shanghai, 200438, People's Republic of China
| | - He-Qi Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, People's Republic of China
| | - Xi Yan
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, People's Republic of China
| | - Xu-Feng Chen
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, People's Republic of China
| | - Min-Cheng Qu
- Molecular Pathology Laboratory, National Center for Liver Cancer, Eastern Hepatobiliary Surgery Hospital, Shanghai, 201800, People's Republic of China
| | - Ping Lin
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, People's Republic of China
| | - Bin Yi
- Department of Organ Transplantation, Eastern Hepatobiliary Surgery Hospital, Shanghai, 201800, People's Republic of China
| | - Feiling Feng
- Department of Biliary Tract Surgery I, Eastern Hepatobiliary Surgery Hospital, Shanghai, 201800, People's Republic of China
| | - Lei Chen
- National Center for Liver Cancer and International Cooperation Laboratory On Signal Transduction, Eastern Hepatobiliary Surgery Institute/Hospital, Shanghai, 200438, People's Republic of China.
| | - Hong-Yang Wang
- National Center for Liver Cancer and International Cooperation Laboratory On Signal Transduction, Eastern Hepatobiliary Surgery Institute/Hospital, Shanghai, 200438, People's Republic of China.
- Key Laboratory of Signaling Regulation and Targeting Therapy of Liver Cancer, Ministry of Education and Shanghai Key Laboratory of Hepatobiliary Tumor Biology, Shanghai, 200438, People's Republic of China.
| | - Hong Li
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, People's Republic of China.
| | - Yu-Fei He
- Molecular Pathology Laboratory, National Center for Liver Cancer, Eastern Hepatobiliary Surgery Hospital, Shanghai, 201800, People's Republic of China.
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27
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Long F, Zhong W, Zhao F, Xu Y, Hu X, Jia G, Huang L, Yi K, Wang N, Si H, Wang J, Wang B, Rong Y, Yuan Y, Yuan C, Wang F. DAB2 + macrophages support FAP + fibroblasts in shaping tumor barrier and inducing poor clinical outcomes in liver cancer. Theranostics 2024; 14:4822-4843. [PMID: 39239526 PMCID: PMC11373629 DOI: 10.7150/thno.99046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Accepted: 07/31/2024] [Indexed: 09/07/2024] Open
Abstract
Background: Cancer-associated fibroblasts (CAFs) are the key components of the immune barrier in liver cancer. Therefore, gaining a deeper understanding of the heterogeneity and intercellular communication of CAFs holds utmost importance in boosting immunotherapy effectiveness and improving clinical outcomes. Methods: A comprehensive analysis by combing single-cell, bulk, and spatial transcriptome profiling with multiplexed immunofluorescence was conducted to unravel the complexities of CAFs in liver cancer. Results: Through an integrated approach involving 235 liver cancer scRNA-seq samples encompassing over 1.2 million cells, we found that CAFs were particularly increased in hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC). FAP + fibroblasts were identified as the dominant subtype of CAFs, and which were mainly involved in extracellular matrix organization and angiogenesis. These CAFs were enriched in the tumor boundary of HCC, but diffusely scattered within ICC. The DAB2 + and SPP1 + tumor-associated macrophages (TAMs) reinforce the function of FAP + CAFs through signals such as TGF-β, PDGF, and ADM. Notably, the interaction between DAB2 + TAMs and FAP + CAFs promoted the formation of immune barrier and correlated with poorer patient survival, non-response to immunotherapy in HCC. High FAP and DAB2 immunohistochemical scores predicted shorter survival and higher serum AFP concentration in a local clinical cohort of 90 HCC patients. Furthermore, this communication pattern might be applicable to other solid malignancies as well. Conclusions: The interaction between DAB2 + TAMs and FAP + CAFs appears crucial in shaping the immune barrier. Strategies aimed at disrupting this communication or inhibiting the functions of FAP + CAFs could potentially enhance immunotherapy effectiveness and improve clinical outcomes.
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Affiliation(s)
- Fei Long
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Wei Zhong
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Faming Zhao
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yaqi Xu
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Xin Hu
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Gaihua Jia
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Lanxiang Huang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Kezhen Yi
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Na Wang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Huaqi Si
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jun Wang
- Department of Laboratory Medicine, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bicheng Wang
- Department of Pathology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yuan Rong
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yufeng Yuan
- Department of Hepatobiliary and Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Chunhui Yuan
- Department of Laboratory Medicine, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fubing Wang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
- Wuhan Research Center for Infectious Diseases and Cancer, Chinese Academy of Medical Sciences, Wuhan, China
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28
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Wei C, Ma Y, Wang M, Wang S, Yu W, Dong S, Deng W, Bie L, Zhang C, Shen W, Xia Q, Luo S, Li N. Tumor-associated macrophage clusters linked to immunotherapy in a pan-cancer census. NPJ Precis Oncol 2024; 8:176. [PMID: 39117688 PMCID: PMC11310399 DOI: 10.1038/s41698-024-00660-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 07/17/2024] [Indexed: 08/10/2024] Open
Abstract
Transcriptional heterogeneity of tumor-associated macrophages (TAMs) has been investigated in individual cancers, but the extent to which these states transcend tumor types and represent a general feature of cancer remains unclear. We performed pan-cancer single-cell RNA sequencing analysis across nine cancer types and identified distinct monocyte/TAM composition patterns. Using spatial analysis from clinical study tissues, we assessed TAM functions in shaping the tumor microenvironment (TME) and influencing immunotherapy. Two specific TAM clusters (pro-inflammatory and pro-tumor) and four TME subtypes showed distinct immunological features, genomic profiles, immunotherapy responses, and cancer prognosis. Pro-inflammatory TAMs resided in immune-enriched niches with exhausted CD8+ T cells, while pro-tumor TAMs were restricted to niches associated with a T-cell-excluded phenotype and hypoxia. We developed a machine learning model to predict immune checkpoint blockade response by integrating TAMs and clinical data. Our study comprehensively characterizes the common features of TAMs and highlights their interaction with the TME.
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Affiliation(s)
- Chen Wei
- Department of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Yijie Ma
- Department of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Mengyu Wang
- Department of Radiation Oncology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Siyi Wang
- Department of Surgical Oncology and General Surgery, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Wenyue Yu
- Department of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Shuailei Dong
- Department of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Wenying Deng
- Department of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Liangyu Bie
- Department of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Chi Zhang
- Department of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Wei Shen
- Department of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Qingxin Xia
- Department of Pathology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
| | - Suxia Luo
- Department of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
| | - Ning Li
- Department of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
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29
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Yu K, Wang J, Wang Y, He J, Hu S, Kuai S. Consensus clustering and development of a risk signature based on trajectory differential genes of cancer-associated fibroblast subpopulations in colorectal cancer. J Cancer Res Clin Oncol 2024; 150:388. [PMID: 39120743 PMCID: PMC11315798 DOI: 10.1007/s00432-024-05906-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Accepted: 07/22/2024] [Indexed: 08/10/2024]
Abstract
BACKGROUND Cancer-associated fibroblasts (CAFs) play a crucial role in the progression of colorectal cancer (CRC). However, the impact of CAF subpopulation trajectory differentiation on CRC remains unclear. METHODS In this study, we first explored the trajectory differences of CAFs subpopulations using bulk and integrated single-cell sequencing data, and then performed consensus clustering of CRC samples based on the trajectory differential genes of CAFs subpopulations. Subsequently, we analyzed the heterogeneity of CRC subtypes using bioinformatics. Finally, we constructed relevant prognostic signature using machine learning and validated them using spatial transcriptomic data. RESULTS Based on the differential genes of CAFs subpopulation trajectory differentiation, we identified two CRC subtypes (C1 and C2) in this study. Compared to C1, C2 exhibited worse prognosis, higher immune evasion microenvironment and high CAF characteristics. C1 was primarily associated with metabolism, while C2 was primarily associated with cell metastasis and immune regulation. By combining 101 combinations of 10 machine learning algorithms, we developed a High-CAF risk signatures (HCAFRS) based on the C2 characteristic gene. HCAFRS was an independent prognostic factor for CRC and, when combined with clinical parameters, significantly predicted the overall survival of CRC patients. HCAFRS was closely associated with epithelial-mesenchymal transition, angiogenesis, and hypoxia. Furthermore, the risk score of HCAFRS was mainly derived from CAFs and was validated in the spatial transcriptomic data. CONCLUSION In conclusion, HCAFRS has the potential to serve as a promising prognostic indicator for CRC, improving the quality of life for CRC patients.
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Affiliation(s)
- Ke Yu
- Wuxi Huishan District People's Hospital, No. 2, Zhan Qian North Road, Luoshe Town, Huishan District, Wuxi City, Jiangsu Province, China
- Affiliated Huishan Hospital of Xinglin College, Nantong University, Wuxi, Jiangsu, China
| | - Jiao Wang
- Wuxi Huishan District People's Hospital, No. 2, Zhan Qian North Road, Luoshe Town, Huishan District, Wuxi City, Jiangsu Province, China
- Affiliated Huishan Hospital of Xinglin College, Nantong University, Wuxi, Jiangsu, China
| | - Yueqing Wang
- Wuxi Huishan District People's Hospital, No. 2, Zhan Qian North Road, Luoshe Town, Huishan District, Wuxi City, Jiangsu Province, China
- Affiliated Huishan Hospital of Xinglin College, Nantong University, Wuxi, Jiangsu, China
| | - Jiayi He
- Wuxi Huishan District People's Hospital, No. 2, Zhan Qian North Road, Luoshe Town, Huishan District, Wuxi City, Jiangsu Province, China
- Affiliated Huishan Hospital of Xinglin College, Nantong University, Wuxi, Jiangsu, China
| | | | - Shougang Kuai
- Wuxi Huishan District People's Hospital, No. 2, Zhan Qian North Road, Luoshe Town, Huishan District, Wuxi City, Jiangsu Province, China.
- Affiliated Huishan Hospital of Xinglin College, Nantong University, Wuxi, Jiangsu, China.
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30
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Zhang YL, Tang TT, Wang B, Wen Y, Feng Y, Yin Q, Jiang W, Zhang Y, Li ZL, Wu M, Wu QL, Song J, Crowley SD, Lan HY, Lv LL, Liu BC. Identification of a Novel ECM Remodeling Macrophage Subset in AKI to CKD Transition by Integrative Spatial and Single-Cell Analysis. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2309752. [PMID: 39119903 DOI: 10.1002/advs.202309752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 06/14/2024] [Indexed: 08/10/2024]
Abstract
The transition from acute kidney injury (AKI) to chronic kidney disease (CKD) is a critical clinical issue. Although previous studies have suggested macrophages as a key player in promoting inflammation and fibrosis during this transition, the heterogeneity and dynamic characterization of macrophages are still poorly understood. Here, we used integrated single-cell RNA sequencing and spatial transcriptomic to characterize the spatiotemporal heterogeneity of macrophages in murine AKI-to-CKD model of unilateral ischemia-reperfusion injury. A marked increase in macrophage infiltration at day 1 was followed by a second peak at day 14 post AKI. Spatiotemporal profiling revealed that injured tubules and macrophages co-localized early after AKI, whereas in late chronic stages had spatial proximity to fibroblasts. Further pseudotime analysis revealed two distinct lineages of macrophages in this transition: renal resident macrophages differentiated into the pro-repair subsets, whereas infiltrating monocyte-derived macrophages contributed to chronic inflammation and fibrosis. A novel macrophage subset, extracellular matrix remodeling-associated macrophages (EAMs) originating from monocytes, linked to renal fibrogenesis and communicated with fibroblasts via insulin-like growth factors (IGF) signalling. In sum, our study identified the spatiotemporal dynamics of macrophage heterogeneity with a unique subset of EAMs in AKI-to-CKD transition, which could be a potential therapeutic target for preventing CKD development.
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Affiliation(s)
- Yi-Lin Zhang
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, Jiangsu, 210009, China
| | - Tao-Tao Tang
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, Jiangsu, 210009, China
| | - Bin Wang
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, Jiangsu, 210009, China
| | - Yi Wen
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, Jiangsu, 210009, China
| | - Ye Feng
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, Jiangsu, 210009, China
- Department of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Qing Yin
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, Jiangsu, 210009, China
| | - Wei Jiang
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, Jiangsu, 210009, China
| | - Yue Zhang
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, Jiangsu, 210009, China
| | - Zuo-Lin Li
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, Jiangsu, 210009, China
| | - Min Wu
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, Jiangsu, 210009, China
| | - Qiu-Li Wu
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, Jiangsu, 210009, China
| | - Jing Song
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, Jiangsu, 210009, China
| | - Steven D Crowley
- Division of Nephrology, Department of Medicine, Duke University and Durham VA Medical Centers, Durham, NC, 27705, USA
| | - Hui-Yao Lan
- Departments of Medicine & Therapeutics, Li Ka Shing Institute of Health Sciences, and Lui Che Woo Institute of Innovative Medicine, The Chinese University of Hong Kong, Hong Kong, 999077, China
| | - Lin-Li Lv
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, Jiangsu, 210009, China
| | - Bi-Cheng Liu
- Institute of Nephrology, Zhong Da Hospital, Southeast University School of Medicine, Nanjing, Jiangsu, 210009, China
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31
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Ren F, Wang L, Wang Y, Wang J, Wang Y, Song X, Zhang G, Nie F, Lin S. Single-cell transcriptome profiles the heterogeneity of tumor cells and microenvironments for different pathological endometrial cancer and identifies specific sensitive drugs. Cell Death Dis 2024; 15:571. [PMID: 39112478 PMCID: PMC11306564 DOI: 10.1038/s41419-024-06960-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 07/23/2024] [Accepted: 07/29/2024] [Indexed: 08/10/2024]
Abstract
Endometrial cancer (EC) is a highly heterogeneous malignancy characterized by varied pathology and prognoses, and the heterogeneity of its cancer cells and the tumor microenvironment (TME) remains poorly understood. We conducted single-cell RNA sequencing (scRNA-seq) on 18 EC samples, encompassing various pathological types to delineate their specific unique transcriptional landscapes. Cancer cells from diverse pathological sources displayed distinct hallmarks labeled as immune-modulating, proliferation-modulating, and metabolism-modulating cancer cells in uterine clear cell carcinomas (UCCC), well-differentiated endometrioid endometrial carcinomas (EEC-I), and uterine serous carcinomas (USC), respectively. Cancer cells from the UCCC exhibited the greatest heterogeneity. We also identified potential effective drugs and confirmed their effectiveness using patient-derived EC organoids for each pathological group. Regarding the TME, we observed that prognostically favorable CD8+ Tcyto and NK cells were prominent in normal endometrium, whereas CD4+ Treg, CD4+ Tex, and CD8+ Tex cells dominated the tumors. CXCL3+ macrophages associated with M2 signature and angiogenesis were exclusively found in tumors. Prognostically relevant epithelium-specific cancer-associated fibroblasts (eCAFs) and SOD2+ inflammatory CAFs (iCAFs) predominated in EEC-I and UCCC groups, respectively. We also validated the oncogenic effects of SOD2+ iCAFs in vitro. Our comprehensive study has yielded deeper insights into the pathogenesis of EC, potentially facilitating personalized treatments for its varied pathological types.
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Affiliation(s)
- Fang Ren
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
| | - Lingfang Wang
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yuyouye Wang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Jiaxuan Wang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yuanpei Wang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaole Song
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Gong Zhang
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Fangfang Nie
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Shitong Lin
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
- Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, 430022, Wuhan, Hubei, PR China.
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Tuersun A, Huo J, Lv Z, Zhang Y, Chen F, Zhao J, Feng W, Xu Z, Mao Z, Xue P, Lu A. Establishment of a chemokine-based prognostic model and identification of CXCL10+ M1 macrophages as predictors of neoadjuvant therapy efficacy in colorectal cancer. Front Immunol 2024; 15:1400722. [PMID: 39170612 PMCID: PMC11335547 DOI: 10.3389/fimmu.2024.1400722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 07/22/2024] [Indexed: 08/23/2024] Open
Abstract
Background Although neoadjuvant therapy has brought numerous benefits to patients, not all patients can benefit from it. Chemokines play a crucial role in the tumor microenvironment and are closely associated with the prognosis and treatment of colorectal cancer. Therefore, constructing a prognostic model based on chemokines will help risk stratification and providing a reference for the personalized treatment. Methods Employing LASSO-Cox predictive modeling, a chemokine-based prognostic model was formulated, harnessing the data from TCGA and GEO databases. Then, our exploration focused on the correlation between the chemokine signature and elements such as the immune landscape, somatic mutations, copy number variations, and drug sensitivity. CXCL10+M1 macrophages identified via scRNA-seq. Monocle2 showed cell pseudotime trajectories, CellChat characterized intercellular communication. CytoTRACE analyzed neoadjuvant therapy stemness, SCENIC detected cell type-specific regulation. Lastly, validation was performed through multiplex immunofluorescence experiments. Results A model based on 15 chemokines was constructed and validated. High-risk scores correlated with poorer prognosis and advanced TNM and clinical stages. Individuals presenting elevated risk scores demonstrated an increased propensity towards the development of chemotherapy resistance. Subsequent scRNA-seq data analysis indicated that patients with higher presence of CXCL10+ M1 macrophages in tumor tissues are more likely to benefit from neoadjuvant therapy. Conclusion We developed a chemokine-based prognostic model by integrating both single-cell and bulk RNA-seq data. Furthermore, we revealed epithelial cell heterogeneity in neoadjuvant outcomes and identified CXCL10+ M1 macrophages as potential therapy response predictors. These findings could significantly contribute to risk stratification and serve as a key guide for the advancement of personalized therapeutic approaches.
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Affiliation(s)
- Abudumaimaitijiang Tuersun
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Department of General Surgery, Second People’s Hospital, Kashi, Xinjiang Uygur Autonomous Region, China
| | - Jianting Huo
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zeping Lv
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yuchen Zhang
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Fangqian Chen
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jingkun Zhao
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Wenqing Feng
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhuoqing Xu
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhihai Mao
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Pei Xue
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Aiguo Lu
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
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Bi W, Yang M, Shi M, Hou M, Jiang C, Fan G, Guo W. A comprehensive single-cell RNA transcriptomic analysis identifies a unique SPP1+ macrophages subgroup in aging skeletal muscle. Sci Rep 2024; 14:18156. [PMID: 39103421 PMCID: PMC11300837 DOI: 10.1038/s41598-024-69284-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 08/02/2024] [Indexed: 08/07/2024] Open
Abstract
Senescence of skeletal muscle (SkM) has been a primary contributor to senior weakness and disability in recent years. The gradually declining SkM function associated with senescence has recently been connected to an imbalance between damage and repair. Macrophages (Mac) are involved in SkM aging, and different macrophage subgroups hold different biological functions. Through comprehensive single-cell transcriptomic analysis, we first compared the metabolic pathways and biological functions of different types of cells in young (Y) and old (O) mice SkM. Strikingly, the Mac population in mice SkM was also explored, and we identified a unique Mac subgroup in O SkM characterized by highly expressed SPP1 with strong senescence and adipogenesis features. Further work was carried out on the metabolic and biological processes for these Mac subgroups. Besides, we verified that the proportion of the SPP1+ Mac was increased significantly in the quadriceps tissues of O mice, and the senotherapeutic drug combination dasatinib + quercetin (D + Q) could dramatically reduce its proportion. Our study provides novel insight into the potential role of SPP1+ Mac in SkM, which may serve as a senotherapeutic target in SkM aging.
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Affiliation(s)
- Wen Bi
- Department of Sports Medicine, The Sixth Affiliated Hospital of Shenzhen University, Shenzhen Nanshan People's Hospital, Shenzhen, 518052, China
| | - Mengyue Yang
- Department of Cardiology, The Sixth Affiliated Hospital of Shenzhen University, Shenzhen Nanshan People's Hospital, Shenzhen, 518052, China
| | - Mengjia Shi
- Department of Traditional Chinese Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China
| | - Mirong Hou
- Cancer Institute of Traditional Chinese Medicine, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200030, China
| | - Changqing Jiang
- Department of Sports Medicine, The Sixth Affiliated Hospital of Shenzhen University, Shenzhen Nanshan People's Hospital, Shenzhen, 518052, China
| | - Gang Fan
- Department of Urology, The Sixth Affiliated Hospital of Shenzhen University, Shenzhen Nanshan People's Hospital, Shenzhen, 518052, China.
| | - Weiming Guo
- Department of Sports Medicine, The Sixth Affiliated Hospital of Shenzhen University, Shenzhen Nanshan People's Hospital, Shenzhen, 518052, China.
- Department of Orthopaedics, Affiliated Hospital of Guilin Medical College, Guilin, 518052, China.
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Ye X, Liu Y, Wei L, Sun Y, Zhang X, Wang H, Guo H, Qin X, Li X, Qu D, Huo J, Chen Y. Monocyte/Macrophage-Mediated Transport of Dual-Drug ZIF Nanoplatforms Synergized with Programmed Cell Death Protein-1 Inhibitor Against Microsatellite-Stable Colorectal Cancer. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2405886. [PMID: 39101234 DOI: 10.1002/advs.202405886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 07/08/2024] [Indexed: 08/06/2024]
Abstract
Microsatellite-stable colorectal cancer (MSS-CRC) exhibits resistance to programmed cell death protein-1 (PD-1) therapy. Improving the infiltration and tumor recognition of cytotoxic T-lymphocytes (CTLs) is a promising strategy, but it encounters huge challenges from drug delivery and mechanisms aspects. Here, a zeolitic imidazolate framework (ZIF) coated with apoptotic body membranes derived from MSS-CRC cells is engineered for the co-delivery of ginsenoside Rg1 (Rg1) and atractylenolide-I (Att) to MSS-CRC, named as Ab@Rg1/Att-ZIF. This system is selectively engulfed by Ly-6C+ monocytes during blood circulation and utilizes a "hitchhiking" mechanism to migrate toward the core of MSS-CRC. Ab@Rg1/Att-ZIF undergoes rapid disassembly in the tumor, released Rg1 promotes the processing and transportation of tumor antigens in dendritic cells (DCs), enhancing their maturation. Meanwhile, Att enhances the activity of the 26S proteasome complex in tumor cells, leading to increased expression of major histocompatibility complex class-I (MHC-I). These coordinated actions enhance the infiltration and recognition of CTLs in the center of MSS-CRC, significantly improving the tumor inhibition of PD-1 treatment from ≈5% to ≈69%. This innovative design, involving inflammation-guided precise drug co-delivery and a rational combination, achieves synergistic engineering of the tumor microenvironment, providing a novel strategy for successful PD-1 treatment of MSS-CRC.
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Affiliation(s)
- Xietao Ye
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210028, China
- Multi-component of Traditional Chinese Medicine and Microecology Research Center, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, 210028, China
| | - Yuping Liu
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210028, China
- Multi-component of Traditional Chinese Medicine and Microecology Research Center, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, 210028, China
- Jiangsu Clinical Innovation Center of Digestive Cancer of Traditional Chinese Medicine, Nanjing, 210028, China
| | - Liangyin Wei
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210028, China
- Multi-component of Traditional Chinese Medicine and Microecology Research Center, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, 210028, China
| | - Yeyang Sun
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210028, China
- Multi-component of Traditional Chinese Medicine and Microecology Research Center, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, 210028, China
| | - Xiaoran Zhang
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210028, China
- Multi-component of Traditional Chinese Medicine and Microecology Research Center, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, 210028, China
| | - Hong Wang
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210028, China
- Multi-component of Traditional Chinese Medicine and Microecology Research Center, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, 210028, China
| | - Hong Guo
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210028, China
- Multi-component of Traditional Chinese Medicine and Microecology Research Center, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, 210028, China
| | - Xiaoying Qin
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210028, China
- Multi-component of Traditional Chinese Medicine and Microecology Research Center, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, 210028, China
| | - Xiaoqi Li
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210028, China
- Multi-component of Traditional Chinese Medicine and Microecology Research Center, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, 210028, China
| | - Ding Qu
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210028, China
- Multi-component of Traditional Chinese Medicine and Microecology Research Center, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, 210028, China
| | - Jiege Huo
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210028, China
- Jiangsu Clinical Innovation Center of Digestive Cancer of Traditional Chinese Medicine, Nanjing, 210028, China
| | - Yan Chen
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210028, China
- Multi-component of Traditional Chinese Medicine and Microecology Research Center, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, 210028, China
- Jiangsu Clinical Innovation Center of Digestive Cancer of Traditional Chinese Medicine, Nanjing, 210028, China
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Matusiak M, Hickey JW, van IJzendoorn DG, Lu G, Kidziński L, Zhu S, Colburg DR, Luca B, Phillips DJ, Brubaker SW, Charville GW, Shen J, Loh KM, Okwan-Duodu DK, Nolan GP, Newman AM, West RB, van de Rijn M. Spatially Segregated Macrophage Populations Predict Distinct Outcomes in Colon Cancer. Cancer Discov 2024; 14:1418-1439. [PMID: 38552005 PMCID: PMC11294822 DOI: 10.1158/2159-8290.cd-23-1300] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 02/23/2024] [Accepted: 03/26/2024] [Indexed: 08/03/2024]
Abstract
Tumor-associated macrophages are transcriptionally heterogeneous, but the spatial distribution and cell interactions that shape macrophage tissue roles remain poorly characterized. Here, we spatially resolve five distinct human macrophage populations in normal and malignant human breast and colon tissue and reveal their cellular associations. This spatial map reveals that distinct macrophage populations reside in spatially segregated micro-environmental niches with conserved cellular compositions that are repeated across healthy and diseased tissue. We show that IL4I1+ macrophages phagocytose dying cells in areas with high cell turnover and predict good outcome in colon cancer. In contrast, SPP1+ macrophages are enriched in hypoxic and necrotic tumor regions and portend worse outcome in colon cancer. A subset of FOLR2+ macrophages is embedded in plasma cell niches. NLRP3+ macrophages co-localize with neutrophils and activate an inflammasome in tumors. Our findings indicate that a limited number of unique human macrophage niches function as fundamental building blocks in tissue. Significance: This work broadens our understanding of the distinct roles different macrophage populations may exert on cancer growth and reveals potential predictive markers and macrophage population-specific therapy targets.
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Affiliation(s)
| | - John W. Hickey
- Department of Pathology, Stanford University, Stanford, California.
| | | | - Guolan Lu
- Department of Pathology, Stanford University, Stanford, California.
| | - Lukasz Kidziński
- Department of Bioengineering, Stanford University, Stanford, California.
| | - Shirley Zhu
- Department of Pathology, Stanford University, Stanford, California.
| | | | - Bogdan Luca
- Department of Medicine, Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, California.
- Department of Biomedical Data Science, Stanford University, Stanford, California.
| | | | - Sky W. Brubaker
- Department of Microbiology and Immunology, Stanford University, Stanford, California.
| | | | - Jeanne Shen
- Department of Pathology, Stanford University, Stanford, California.
| | - Kyle M. Loh
- Department of Developmental Biology, Stanford University, Stanford, California.
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California.
| | | | - Garry P. Nolan
- Department of Pathology, Stanford University, Stanford, California.
| | - Aaron M. Newman
- Department of Biomedical Data Science, Stanford University, Stanford, California.
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California.
- Stanford Cancer Institute, Stanford University, Stanford, California.
| | - Robert B. West
- Department of Pathology, Stanford University, Stanford, California.
| | - Matt van de Rijn
- Department of Pathology, Stanford University, Stanford, California.
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Zhang H, Fu L, Leiliang X, Qu C, Wu W, Wen R, Huang N, He Q, Cheng Q, Liu G, Cheng Y. Beyond the Gut: The intratumoral microbiome's influence on tumorigenesis and treatment response. Cancer Commun (Lond) 2024. [PMID: 39087354 DOI: 10.1002/cac2.12597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 06/25/2024] [Accepted: 07/13/2024] [Indexed: 08/02/2024] Open
Abstract
The intratumoral microbiome (TM) refers to the microorganisms in the tumor tissues, including bacteria, fungi, viruses, and so on, and is distinct from the gut microbiome and circulating microbiota. TM is strongly associated with tumorigenesis, progression, metastasis, and response to therapy. This paper highlights the current status of TM. Tract sources, adjacent normal tissue, circulatory system, and concomitant tumor co-metastasis are the main origin of TM. The advanced techniques in TM analysis are comprehensively summarized. Besides, TM is involved in tumor progression through several mechanisms, including DNA damage, activation of oncogenic signaling pathways (phosphoinositide 3-kinase [PI3K], signal transducer and activator of transcription [STAT], WNT/β-catenin, and extracellular regulated protein kinases [ERK]), influence of cytokines and induce inflammatory responses, and interaction with the tumor microenvironment (anti-tumor immunity, pro-tumor immunity, and microbial-derived metabolites). Moreover, promising directions of TM in tumor therapy include immunotherapy, chemotherapy, radiotherapy, the application of probiotics/prebiotics/synbiotics, fecal microbiome transplantation, engineered microbiota, phage therapy, and oncolytic virus therapy. The inherent challenges of clinical application are also summarized. This review provides a comprehensive landscape for analyzing TM, especially the TM-related mechanisms and TM-based treatment in cancer.
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Affiliation(s)
- Hao Zhang
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, P. R. China
| | - Li Fu
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, P. R. China
- Department of Gastroenterology, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, P. R. China
| | - Xinwen Leiliang
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, P. R. China
| | - Chunrun Qu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, P. R. China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, P. R. China
| | - Wantao Wu
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, P. R. China
| | - Rong Wen
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, P. R. China
| | - Ning Huang
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, P. R. China
| | - Qiuguang He
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, P. R. China
| | - Quan Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, P. R. China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, P. R. China
| | - Guodong Liu
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, P. R. China
| | - Yuan Cheng
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, P. R. China
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Zhan T, Zou Y, Han Z, Tian X, Chen M, Liu J, Yang X, Zhu Q, Liu M, Chen W, Chen M, Huang X, Tan J, Liu W, Tian X. Single-cell sequencing combined with spatial transcriptomics reveals that the IRF7 gene in M1 macrophages inhibits the occurrence of pancreatic cancer by regulating lipid metabolism-related mechanisms. Clin Transl Med 2024; 14:e1799. [PMID: 39118300 PMCID: PMC11310283 DOI: 10.1002/ctm2.1799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2024] [Revised: 07/24/2024] [Accepted: 07/26/2024] [Indexed: 08/10/2024] Open
Abstract
AIM The main focus of this study is to explore the molecular mechanism of IRF7 regulation on RPS18 transcription in M1-type macrophages in pancreatic adenocarcinoma (PAAD) tissue, as well as the transfer of RPS18 by IRF7 via exosomes to PAAD cells and the regulation of ILF3 expression. METHODS By utilising single-cell RNA sequencing (scRNA-seq) data and spatial transcriptomics (ST) data from the Gene Expression Omnibus database, we identified distinct cell types with significant expression differences in PAAD tissue. Among these cell types, we identified those closely associated with lipid metabolism. The differentially expressed genes within these cell types were analysed, and target genes relevant to prognosis were identified. Flow cytometry was employed to assess the expression levels of target genes in M1 and M2 macrophages. Cell lines with target gene knockout were constructed using CRISPR/Cas9 editing technology, and cell lines with target gene knockdown and overexpression were established using lentiviral vectors. Additionally, a co-culture model of exosomes derived from M1 macrophages with PAAD cells was developed. The impact of M1 macrophage-derived exosomes on the lipid metabolism of PAAD cells in the model was evaluated through metabolomics analysis. The effects of M1 macrophage-derived exosomes on the viability, proliferation, division, migration and apoptosis of PAAD cells were assessed using MTT assay, flow cytometry, EdU assay, wound healing assay, Transwell assay and TUNEL staining. Furthermore, a mouse PAAD orthotopic implantation model was established, and bioluminescence imaging was utilised to assess the influence of M1 macrophage-derived exosomes on the intratumoural formation capacity of PAAD cells, as well as measuring tumour weight and volume. The expression of proliferation-associated proteins in tumour tissues was examined using immunohistochemistry. RESULTS Through combined analysis of scRNA-seq and ST technologies, we discovered a close association between M1 macrophages in PAAD samples and lipid metabolism signals, as well as a negative correlation between M1 macrophages and cancer cells. The construction of a prognostic risk score model identified RPS18 and IRF7 as two prognostically relevant genes in M1 macrophages, exhibiting negative and positive correlations, respectively. Mechanistically, it was found that IRF7 in M1 macrophages can inhibit the transcription of RPS18, reducing the transfer of RPS18 to PAAD cells via exosomes, consequently affecting the expression of ILF3 in PAAD cells. IRF7/RPS18 in M1 macrophages can also suppress lipid metabolism, cell viability, proliferation, migration, invasion and intratumoural formation capacity of PAAD cells, while promoting cell apoptosis. CONCLUSION Overexpression of IRF7 in M1 macrophages may inhibit RPS18 transcription, reduce the transfer of RPS18 from M1 macrophage-derived exosomes to PAAD cells, thereby suppressing ILF3 expression in PAAD cells, inhibiting the lipid metabolism pathway, and curtailing the viability, proliferation, migration, invasion of PAAD cells, as well as enhancing cell apoptosis, ultimately inhibiting tumour formation in PAAD cells in vivo. Targeting IRF7/RPS18 in M1 macrophages could represent a promising immunotherapeutic approach for PAAD in the future.
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Affiliation(s)
- Ting Zhan
- Department of GastroenterologyWuHan Third Hospital (Tongren Hospital of WuHan University)WuhanChina
| | - Yanli Zou
- Department of GastroenterologyWuHan Third Hospital (Tongren Hospital of WuHan University)WuhanChina
| | - Zheng Han
- Department of GastroenterologyWuHan Third Hospital (Tongren Hospital of WuHan University)WuhanChina
| | - XiaoRong Tian
- Department of GastroenterologyWuHan Third Hospital (Tongren Hospital of WuHan University)WuhanChina
- Department of GastroenterologyZhongnan Hospital of Wuhan UniversityWuhanChina
| | - Mengge Chen
- Department of GastroenterologyWuHan Third Hospital (Tongren Hospital of WuHan University)WuhanChina
- Department of GastroenterologyZhongnan Hospital of Wuhan UniversityWuhanChina
| | - Jiaxi Liu
- Department of GastroenterologyWuHan Third Hospital (Tongren Hospital of WuHan University)WuhanChina
- Department of GastroenterologyZhongnan Hospital of Wuhan UniversityWuhanChina
| | - Xiulin Yang
- Department of GastroenterologyWuHan Third Hospital (Tongren Hospital of WuHan University)WuhanChina
- Department of GastroenterologyZhongnan Hospital of Wuhan UniversityWuhanChina
| | - Qingxi Zhu
- Department of GastroenterologyWuHan Third Hospital (Tongren Hospital of WuHan University)WuhanChina
| | - Meng Liu
- Department of GastroenterologyWuHan Third Hospital (Tongren Hospital of WuHan University)WuhanChina
| | - Wei Chen
- Department of GastroenterologyWuHan Third Hospital (Tongren Hospital of WuHan University)WuhanChina
| | - Mingtao Chen
- Department of GastroenterologyWuHan Third Hospital (Tongren Hospital of WuHan University)WuhanChina
| | - Xiaodong Huang
- Department of GastroenterologyWuHan Third Hospital (Tongren Hospital of WuHan University)WuhanChina
- Department of GastroenterologyZhongnan Hospital of Wuhan UniversityWuhanChina
| | - Jie Tan
- Department of GastroenterologyWuHan Third Hospital (Tongren Hospital of WuHan University)WuhanChina
| | - Weijie Liu
- Department of GastroenterologyWuHan Third Hospital (Tongren Hospital of WuHan University)WuhanChina
| | - Xia Tian
- Department of GastroenterologyWuHan Third Hospital (Tongren Hospital of WuHan University)WuhanChina
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Sun Y, Xu Z, You W, Zhou Y, Nong Q, Chen W, Shan T. Lipidomics and single-cell RNA sequencing reveal lipid and cell dynamics of porcine glycerol-injured skeletal muscle regeneration model. Life Sci 2024; 350:122742. [PMID: 38797365 DOI: 10.1016/j.lfs.2024.122742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 05/18/2024] [Accepted: 05/18/2024] [Indexed: 05/29/2024]
Abstract
AIMS Intramuscular fat (IMF) infiltration and extracellular matrix (ECM) deposition are characteristic features of muscle dysfunction, such as muscular dystrophy and severe muscle injuries. However, the underlying mechanisms of cellular origin, adipocyte formation and fibrosis in skeletal muscle are still unclear. MAIN METHODS Pigs were injected with 50 % glycerol (GLY) to induce skeletal muscle injury and regeneration. The acyl chain composition was analyzed by lipidomics, and the cell atlas and molecular signatures were revealed via single-cell RNA sequencing (scRNA-seq). Adipogenesis analysis was performed on fibroblast/fibro-adipogenic progenitors (FAPs) isolated from pigs. KEY FINDINGS The porcine GLY-injured skeletal muscle regeneration model was characterized by IMF infiltration and ECM deposition. Skeletal muscle stem cells (MuSCs) and FAP clusters were analyzed to explore the potential mechanisms of adipogenesis and fibrosis, and it was found that the TGF-β signaling pathway might be a key switch that regulates differentiation. Consistently, activation of the TGF-β signaling pathway increased SMAD2/3 phosphorylation and inhibited adipogenesis in FAPs, while inhibition of the TGF-β signaling pathway increased the expression of PPARγ and promoted adipogenesis. SIGNIFICANCE GLY-induced muscle injury and regeneration provides comprehensive insights for the development of therapies for human skeletal muscle dysfunction and fatty infiltration-related diseases in which the TGF-β/SMAD signaling pathway might play a primary regulatory role.
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Affiliation(s)
- Ye Sun
- College of Animal Sciences, Zhejiang University, Hangzhou, China; The Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Hangzhou, China; Zhejiang Provincial Laboratory of Feed and Animal Nutrition, Hangzhou, China
| | - Ziye Xu
- College of Animal Sciences, Zhejiang University, Hangzhou, China; The Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Hangzhou, China; Zhejiang Provincial Laboratory of Feed and Animal Nutrition, Hangzhou, China
| | - Wenjing You
- College of Animal Sciences, Zhejiang University, Hangzhou, China; The Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Hangzhou, China; Zhejiang Provincial Laboratory of Feed and Animal Nutrition, Hangzhou, China
| | - Yanbing Zhou
- College of Animal Sciences, Zhejiang University, Hangzhou, China; The Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Hangzhou, China; Zhejiang Provincial Laboratory of Feed and Animal Nutrition, Hangzhou, China
| | - Qiuyun Nong
- College of Animal Sciences, Zhejiang University, Hangzhou, China; The Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Hangzhou, China; Zhejiang Provincial Laboratory of Feed and Animal Nutrition, Hangzhou, China
| | - Wentao Chen
- College of Animal Sciences, Zhejiang University, Hangzhou, China; The Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Hangzhou, China; Zhejiang Provincial Laboratory of Feed and Animal Nutrition, Hangzhou, China
| | - Tizhong Shan
- College of Animal Sciences, Zhejiang University, Hangzhou, China; The Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Hangzhou, China; Zhejiang Provincial Laboratory of Feed and Animal Nutrition, Hangzhou, China.
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Meng X, Zheng Y, Zhang L, Liu P, Liu Z, He Y. Single-Cell Analyses Reveal the Metabolic Heterogeneity and Plasticity of the Tumor Microenvironment during Head and Neck Squamous Cell Carcinoma Progression. Cancer Res 2024; 84:2468-2483. [PMID: 38718319 DOI: 10.1158/0008-5472.can-23-1344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 10/31/2023] [Accepted: 04/29/2024] [Indexed: 08/02/2024]
Abstract
Metabolic reprogramming is a hallmark of cancer. In addition to metabolic alterations in the tumor cells, multiple other metabolically active cell types in the tumor microenvironment (TME) contribute to the emergence of a tumor-specific metabolic milieu. Here, we defined the metabolic landscape of the TME during the progression of head and neck squamous cell carcinoma (HNSCC) by performing single-cell RNA sequencing on 26 human patient specimens, including normal tissue, precancerous lesions, early stage cancer, advanced-stage cancer, lymph node metastases, and recurrent tumors. The analysis revealed substantial heterogeneity at the transcriptional, developmental, metabolic, and functional levels in different cell types. SPP1+ macrophages were identified as a protumor and prometastatic macrophage subtype with high fructose and mannose metabolism, which was further substantiated by integrative analysis and validation experiments. An inhibitor of fructose metabolism reduced the proportion of SPP1+ macrophages, reshaped the immunosuppressive TME, and suppressed tumor growth. In conclusion, this work delineated the metabolic landscape of HNSCC at a single-cell resolution and identified fructose metabolism as a key metabolic feature of a protumor macrophage subpopulation. Significance: Fructose and mannose metabolism is a metabolic feature of a protumor and prometastasis macrophage subtype and can be targeted to reprogram macrophages and the microenvironment of head and neck squamous cell carcinoma.
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Affiliation(s)
- Xiaoyan Meng
- Department of Oral Maxillofacial & Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P.R. China
- National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology Shanghai, Shanghai, P.R. China
| | - Yang Zheng
- Department of Oral Maxillofacial & Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P.R. China
- National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology Shanghai, Shanghai, P.R. China
| | - Lingfang Zhang
- Suzhou Lingdian Biotechnology Co., Ltd., Suzhou, P.R. China
| | - Peipei Liu
- Suzhou Lingdian Biotechnology Co., Ltd., Suzhou, P.R. China
| | - Zhonglong Liu
- Department of Oral Maxillofacial & Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P.R. China
- National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology Shanghai, Shanghai, P.R. China
| | - Yue He
- Department of Oral Maxillofacial & Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, P.R. China
- National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology Shanghai, Shanghai, P.R. China
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Ouyang Q, Wang C, Sang T, Tong Y, Zhang J, Chen Y, Wang X, Wu L, Wang X, Liu R, Chen P, Liu J, Shen W, Feng Z, Zhang L, Sun X, Cai G, Li LL, Chen X. Depleting profibrotic macrophages using bioactivated in vivo assembly peptides ameliorates kidney fibrosis. Cell Mol Immunol 2024; 21:826-841. [PMID: 38871810 PMCID: PMC11291639 DOI: 10.1038/s41423-024-01190-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 05/23/2024] [Indexed: 06/15/2024] Open
Abstract
Managing renal fibrosis is challenging owing to the complex cell signaling redundancy in diseased kidneys. Renal fibrosis involves an immune response dominated by macrophages, which activates myofibroblasts in fibrotic niches. However, macrophages exhibit high heterogeneity, hindering their potential as therapeutic cell targets. Herein, we aimed to eliminate specific macrophage subsets that drive the profibrotic immune response in the kidney both temporally and spatially. We identified the major profibrotic macrophage subset (Fn1+Spp1+Arg1+) in the kidney and then constructed a 12-mer glycopeptide that was designated as bioactivated in vivo assembly PK (BIVA-PK) to deplete these cells. BIVA-PK specifically binds to and is internalized by profibrotic macrophages. By inducing macrophage cell death, BIVA-PK reshaped the renal microenvironment and suppressed profibrotic immune responses. The robust efficacy of BIVA-PK in ameliorating renal fibrosis and preserving kidney function highlights the value of targeting macrophage subsets as a potential therapy for patients with CKD.
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Affiliation(s)
- Qing Ouyang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, 100853, China.
| | - Chao Wang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, 100853, China
- Clinical Medical School, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Tian Sang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, 100853, China
| | - Yan Tong
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, 100853, China
| | - Jian Zhang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, 100853, China
| | - Yulan Chen
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, 100853, China
| | - Xue Wang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, 100853, China
| | - Lingling Wu
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, 100853, China
| | - Xu Wang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, 100853, China
| | - Ran Liu
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, 100853, China
| | - Pu Chen
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, 100853, China
| | - Jiaona Liu
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, 100853, China
| | - Wanjun Shen
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, 100853, China
| | - Zhe Feng
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, 100853, China
| | - Li Zhang
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, 100853, China
| | - Xuefeng Sun
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, 100853, China
| | - Guangyan Cai
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, 100853, China.
| | - Li-Li Li
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, National Center for Nanoscience and Technology (NCNST), Beijing, 100190, China.
| | - Xiangmei Chen
- Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, 100853, China.
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Zhang Z, Liu B, Lin Z, Mei L, Chen R, Li Z. SPP1 could be an immunological and prognostic biomarker: From pan-cancer comprehensive analysis to osteosarcoma validation. FASEB J 2024; 38:e23783. [PMID: 39037571 DOI: 10.1096/fj.202400622rr] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 06/03/2024] [Accepted: 06/20/2024] [Indexed: 07/23/2024]
Abstract
Secreted phosphoprotein 1 (SPP1), also known as osteopontin, is a phosphorylated protein. High SPP1 expression levels have been detected in multiple cancers and are associated with poor prognosis and reduced survival rates. However, only a few pan-cancer analyses have targeted SPP1. We conducted a comprehensive analysis using multiple public databases, including TIMER and TCGA, to investigate the expression levels of SPP1 in 33 different tumor types. In addition, we verified the effect of SPP1 on osteosarcoma. To assess the impact of SPP1 on patient outcomes, we employed univariate Cox regression and Kaplan-Meier survival analyses to analyze overall survival (OS), disease-specific survival (DSS), and progression-free interval (PFI) in these tumor patients. We also explored SPP1 gene alterations in various tumor tissues using cBioPortal. We then examined the relationship between SPP1 and clinical characteristics, TME, immune regulatory genes, immune checkpoints, TMB, and MSI using R language. In addition, we used GSEA to investigate the molecular mechanisms underlying the role of SPP1. Bioinformatics analysis indicated that SPP1 was upregulated in 17 tumors. Overexpression of SPP1 results in poor OS, DSS, and PFI in CESC, ESCA, GBM, LGG, LIHC, PAAD, PRAD, and skin cutaneous melanoma. SPP1 expression was positively associated with immunocyte infiltration, immune regulatory genes, immune checkpoints, TMB, MSI, and drug sensitivity in certain cancers. We found that high expression of SPP1 in osteosarcoma was related to drug resistance and metastasis and further demonstrated that SPP1 can stimulate osteosarcoma cell proliferation via CCND1 by activating the PI3K/Akt pathway. These findings strongly suggest that SPP1 is a potential prognostic marker and novel target for cancer immunotherapy.
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Affiliation(s)
- Zhiming Zhang
- Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Binfeng Liu
- Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Zhengjun Lin
- Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Lin Mei
- Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Ruiqi Chen
- Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Zhihong Li
- Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
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Chen S, Deng B, Zhao F, You H, Liu Y, Xie L, Song G, Zhou Z, Huang G, Shen W. Silencing SPP1 in M2 macrophages inhibits the progression of castration-resistant prostate cancer via the MMP9/TGFβ1 axis. Transl Androl Urol 2024; 13:1239-1255. [PMID: 39100821 PMCID: PMC11291415 DOI: 10.21037/tau-24-127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Accepted: 04/30/2024] [Indexed: 08/06/2024] Open
Abstract
Background M2 macrophages can promote the progression of castration-resistant prostate cancer (CRPC), but the specific mechanism is still unclear. Therefore, we are preliminarily exploring the molecular mechanism by which M2 macrophages regulate the progression of CRPC. Methods The genes positively correlated with CRPC and with the most significant differences in the GEO32269 dataset were obtained. Database and immunofluorescence experiments were used to validate the localization of secreted phosphoprotein 1 (SPP1) in localized prostate cancer (PCa), hormone-sensitive prostate cancer (HSPC), and CRPC tumor tissues. The function of SPP1 in M2 macrophages was verified through cell scratch, Transwell, and an orthotopic PCa model. PCa database and Western blot were used to verify the relationship between SPP1 and matrix metallopeptidase 9 (MMP9), as well as the ability of MMP9 in M2 macrophages to promote epithelial-mesenchymal transition (EMT) in PCa cells. Results The primary localization of SPP1 in prostate and CRPC tissues is in macrophages. Silencing SPP1 expression in M2 macrophages promotes their polarization towards the M1 phenotype and significantly inhibits the malignant progression of PCa in vitro and in vivo. SPP1 promotes the expression of MMP9 through the PI3K/AKT signaling pathway in M2 macrophages. Furthermore, MMP9 enhances the EMT and migratory capabilities of PC3 cells by activating the TGFβ signaling pathway. Conclusions We have found that the high expression of SPP1 in M2 macrophages promotes the progression of CRPC through cell-cell interactions. These findings can contribute to the development of novel therapeutic approaches for combating this deadly disease.
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Affiliation(s)
- Saipeng Chen
- Department of Urology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Bingqian Deng
- Department of Biochemistry and Molecular Biology, College of Basic Medical Science, Army Medical University (Third Military Medical University), Chongqing, China
| | - Fuhan Zhao
- Department of Urology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Hang You
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Youxin Liu
- Department of Urology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Langlang Xie
- Department of Biochemistry and Molecular Biology, College of Basic Medical Science, Army Medical University (Third Military Medical University), Chongqing, China
| | - Guojing Song
- Department of Urology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Zhansong Zhou
- Department of Urology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Gang Huang
- Department of Biochemistry and Molecular Biology, College of Basic Medical Science, Army Medical University (Third Military Medical University), Chongqing, China
| | - Wenhao Shen
- Department of Urology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
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Li E, Cheung HCZ, Ma S. CTHRC1 + fibroblasts and SPP1 + macrophages synergistically contribute to pro-tumorigenic tumor microenvironment in pancreatic ductal adenocarcinoma. Sci Rep 2024; 14:17412. [PMID: 39075108 PMCID: PMC11286765 DOI: 10.1038/s41598-024-68109-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Accepted: 07/19/2024] [Indexed: 07/31/2024] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is an extremely lethal cancer that accounts for over 90% of all pancreatic cancer cases. With a 5-year survival rate of only 13%, PDAC has proven to be extremely desmoplastic and immunosuppressive to most current therapies, including chemotherapy and surgical resection. In recent years, focus has shifted to understanding the tumor microenvironment (TME) around PDAC, enabling a greater understanding of biological pathways and intercellular interactions that can ultimately lead to potential for future drug targets. In this study, we leverage a combination of single-cell and spatial transcriptomics to further identify cellular populations and interactions within the highly heterogeneous TME. We demonstrate that SPP1+APOE+ tumor-associated macrophages (TAM) and CTHRC1+GREM1+ cancer-associated myofibroblasts (myCAF) not only act synergistically to promote an immune-suppressive TME through active extracellular matrix (ECM) deposition and epithelial mesenchymal transition (EMT), but are spatially colocalized and correlated, leading to worse prognosis. Our results highlight the crosstalk between stromal and myeloid cells as a significant area of study for future therapeutic targets to treat cancer.
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Affiliation(s)
- Evan Li
- Worcester Academy, Worcester, MA, USA.
| | | | - Shuangge Ma
- Department of Biostatistics, Yale University, New Haven, CT, USA.
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Sun Y, Jiang W, Liao X, Wang D. Hallmarks of perineural invasion in pancreatic ductal adenocarcinoma: new biological dimensions. Front Oncol 2024; 14:1421067. [PMID: 39119085 PMCID: PMC11307098 DOI: 10.3389/fonc.2024.1421067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Accepted: 07/01/2024] [Indexed: 08/10/2024] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignant tumor with a high metastatic potential. Perineural invasion (PNI) occurs in the early stages of PDAC with a high incidence rate and is directly associated with a poor prognosis. It involves close interaction among PDAC cells, nerves and the tumor microenvironment. In this review, we detailed discuss PNI-related pain, six specific steps of PNI, and treatment of PDAC with PNI and emphasize the importance of novel technologies for further investigation.
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Affiliation(s)
- Yaquan Sun
- Institute of Medical Imaging and Artificial Intelligence, Jiangsu University, Zhenjiang, China
| | - Wei Jiang
- Institute of Medical Imaging and Artificial Intelligence, Jiangsu University, Zhenjiang, China
| | - Xiang Liao
- Institute of Medical Imaging and Artificial Intelligence, Jiangsu University, Zhenjiang, China
| | - Dongqing Wang
- Institute of Medical Imaging and Artificial Intelligence, Jiangsu University, Zhenjiang, China
- Department of Medical Imaging, The Affiliated Hospital of Jiangsu University, Zhenjiang, China
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Sun F, Li H, Sun D, Fu S, Gu L, Shao X, Wang Q, Dong X, Duan B, Xing F, Wu J, Xiao M, Zhao F, Han JDJ, Liu Q, Fan X, Li C, Wang C, Shi T. Single-cell omics: experimental workflow, data analyses and applications. SCIENCE CHINA. LIFE SCIENCES 2024:10.1007/s11427-023-2561-0. [PMID: 39060615 DOI: 10.1007/s11427-023-2561-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 04/18/2024] [Indexed: 07/28/2024]
Abstract
Cells are the fundamental units of biological systems and exhibit unique development trajectories and molecular features. Our exploration of how the genomes orchestrate the formation and maintenance of each cell, and control the cellular phenotypes of various organismsis, is both captivating and intricate. Since the inception of the first single-cell RNA technology, technologies related to single-cell sequencing have experienced rapid advancements in recent years. These technologies have expanded horizontally to include single-cell genome, epigenome, proteome, and metabolome, while vertically, they have progressed to integrate multiple omics data and incorporate additional information such as spatial scRNA-seq and CRISPR screening. Single-cell omics represent a groundbreaking advancement in the biomedical field, offering profound insights into the understanding of complex diseases, including cancers. Here, we comprehensively summarize recent advances in single-cell omics technologies, with a specific focus on the methodology section. This overview aims to guide researchers in selecting appropriate methods for single-cell sequencing and related data analysis.
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Affiliation(s)
- Fengying Sun
- Department of Clinical Laboratory, the Affiliated Wuhu Hospital of East China Normal University (The Second People's Hospital of Wuhu City), Wuhu, 241000, China
| | - Haoyan Li
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Dongqing Sun
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Shaliu Fu
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Research Institute of Intelligent Computing, Zhejiang Lab, Hangzhou, 311121, China
- Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, 201210, China
| | - Lei Gu
- Center for Single-cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xin Shao
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
- National Key Laboratory of Chinese Medicine Modernization, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing, 314103, China
| | - Qinqin Wang
- Center for Single-cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xin Dong
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Bin Duan
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Research Institute of Intelligent Computing, Zhejiang Lab, Hangzhou, 311121, China
- Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, 201210, China
| | - Feiyang Xing
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Jun Wu
- Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Minmin Xiao
- Department of Clinical Laboratory, the Affiliated Wuhu Hospital of East China Normal University (The Second People's Hospital of Wuhu City), Wuhu, 241000, China.
| | - Fangqing Zhao
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China.
| | - Qi Liu
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China.
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China.
- Research Institute of Intelligent Computing, Zhejiang Lab, Hangzhou, 311121, China.
- Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, 201210, China.
| | - Xiaohui Fan
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
- National Key Laboratory of Chinese Medicine Modernization, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing, 314103, China.
- Zhejiang Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China.
| | - Chen Li
- Center for Single-cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Chenfei Wang
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China.
- Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Tieliu Shi
- Department of Clinical Laboratory, the Affiliated Wuhu Hospital of East China Normal University (The Second People's Hospital of Wuhu City), Wuhu, 241000, China.
- Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
- Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE, School of Statistics, East China Normal University, Shanghai, 200062, China.
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Ke BJ, Abdurahiman S, Biscu F, Zanella G, Dragoni G, Santhosh S, De Simone V, Zouzaf A, van Baarle L, Stakenborg M, Bosáková V, Van Rymenant Y, Verhulst E, Verstockt S, Klein E, Bislenghi G, Wolthuis A, Frič J, Breynaert C, D’Hoore A, Van der Veken P, De Meester I, Lovisa S, Hawinkels LJ, Verstockt B, De Hertogh G, Vermeire S, Matteoli G. Intercellular interaction between FAP+ fibroblasts and CD150+ inflammatory monocytes mediates fibrostenosis in Crohn's disease. J Clin Invest 2024; 134:e173835. [PMID: 39042469 PMCID: PMC11324301 DOI: 10.1172/jci173835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 06/14/2024] [Indexed: 07/25/2024] Open
Abstract
Crohn's disease (CD) is marked by recurring intestinal inflammation and tissue injury, often resulting in fibrostenosis and bowel obstruction, necessitating surgical intervention with high recurrence rates. To elucidate the mechanisms underlying fibrostenosis in CD, we analyzed the transcriptome of cells isolated from the transmural ileum of patients with CD, including a trio of lesions from each patient: non-affected, inflamed, and stenotic ileum samples, and compared them with samples from patients without CD. Our computational analysis revealed that profibrotic signals from a subset of monocyte-derived cells expressing CD150 induced a disease-specific fibroblast population, resulting in chronic inflammation and tissue fibrosis. The transcription factor TWIST1 was identified as a key modulator of fibroblast activation and extracellular matrix (ECM) deposition. Genetic and pharmacological inhibition of TWIST1 prevents fibroblast activation, reducing ECM production and collagen deposition. Our findings suggest that the myeloid-stromal axis may offer a promising therapeutic target to prevent fibrostenosis in CD.
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Affiliation(s)
- Bo-Jun Ke
- Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Saeed Abdurahiman
- Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Francesca Biscu
- Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
- Centre for Inflammation Research, University of Edinburgh, Edinburgh, United Kingdom
| | - Gaia Zanella
- Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Gabriele Dragoni
- Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
- Gastroenterology Research Unit, Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy
| | - Sneha Santhosh
- Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Veronica De Simone
- Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Anissa Zouzaf
- Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Lies van Baarle
- Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Michelle Stakenborg
- Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Veronika Bosáková
- Department of Biology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
- International Clinical Research Center, St. Anne’s University Hospital Brno, Brno, Czech Republic
| | - Yentl Van Rymenant
- Department of Pharmaceutical Sciences, University of Antwerp, Antwerp, Belgium
| | - Emile Verhulst
- Department of Pharmaceutical Sciences, University of Antwerp, Antwerp, Belgium
| | - Sare Verstockt
- Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Elliott Klein
- Department of Immunology and Respiratory Research, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, Connecticut, USA
| | - Gabriele Bislenghi
- Department of Abdominal Surgery, University Hospitals Leuven, Leuven, Belgium
| | - Albert Wolthuis
- Department of Abdominal Surgery, University Hospitals Leuven, Leuven, Belgium
| | - Jan Frič
- International Clinical Research Center, St. Anne’s University Hospital Brno, Brno, Czech Republic
- International Clinical Research Center, Faculty of Medicine, Masaryk University, Brno, Czech Republic
- Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Christine Breynaert
- Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | - Andre D’Hoore
- Department of Abdominal Surgery, University Hospitals Leuven, Leuven, Belgium
| | | | - Ingrid De Meester
- Department of Pharmaceutical Sciences, University of Antwerp, Antwerp, Belgium
| | - Sara Lovisa
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Lukas J.A.C. Hawinkels
- Department of Gastroenterology-Hepatology, Leiden University Medical Center, Leiden, Netherlands
| | - Bram Verstockt
- Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
- Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, Belgium
| | - Gert De Hertogh
- Laboratory of Pathology, University Hospitals Leuven, Leuven, Belgium
- Laboratory of Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Séverine Vermeire
- Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
- Department of Gastroenterology and Hepatology, University Hospitals Leuven, Leuven, Belgium
| | - Gianluca Matteoli
- Translational Research Center for Gastrointestinal Disorders (TARGID), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
- Leuven Institute for Single Cell Omics (LISCO), KU Leuven, Leuven, Belgium
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47
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Li W, Pan L, Hong W, Ginhoux F, Zhang X, Xiao C, Li X. A single-cell pan-cancer analysis to show the variability of tumor-infiltrating myeloid cells in immune checkpoint blockade. Nat Commun 2024; 15:6142. [PMID: 39034339 PMCID: PMC11271490 DOI: 10.1038/s41467-024-50478-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Accepted: 07/12/2024] [Indexed: 07/23/2024] Open
Abstract
Myeloid cells are vital components of the immune system and have pivotal functions in orchestrating immune responses. Understanding their functions within the tumor microenvironment and their interactions with tumor-infiltrating lymphocytes presents formidable challenges across diverse cancer types, particularly with regards to cancer immunotherapies. Here, we explore tumor-infiltrating myeloid cells (TIMs) by conducting a pan-cancer analysis using single-cell transcriptomics across eight distinct cancer types, encompassing a total of 192 tumor samples from 129 patients. By examining gene expression patterns and transcriptional activities of TIMs in different cancer types, we discern notable alterations in abundance of TIMs and kinetic behaviors prior to and following immunotherapy. We also identify specific cell-cell interaction targets in immunotherapy; unique and shared regulatory profiles critical for treatment response; and TIMs associated with survival outcomes. Overall, our study illuminates the heterogeneity of TIMs and improves our understanding of tissue-specific and cancer-specific myeloid subsets within the context of tumor immunotherapies.
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Affiliation(s)
- Weiyuan Li
- School of Medicine, Yunnan University, Kunming, Yunnan, 650091, China
- Department of Reproductive Medicine, The First People's Hospital of Yunnan Province, Kunming, Yunnan, 650032, China
- The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, 650031, China
| | - Lu Pan
- Institute of Environmental Medicine, Karolinska Institutet, Solna, 171 65, Sweden
| | - Weifeng Hong
- Department of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, 310005, China
- Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310005, China
- Zhejiang Key Laboratory of Radiation Oncology, Hangzhou, 310005, China
| | - Florent Ginhoux
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, 138648, Singapore
- Institut Gustave Roussy, INSERM U1015, Bâtiment de Médecine Moléculaire 114 rue Edouard Vaillant, 94800, Villejuif, France
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xuan Zhang
- Department of Colorectal Surgery, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China
| | - Chunjie Xiao
- School of Medicine, Yunnan University, Kunming, Yunnan, 650091, China.
| | - Xuexin Li
- Department of General Surgery, The Fourth Affiliated Hospital, China Medical University, Shenyang, 110032, China.
- Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, China Medical University, Shenyang, 110122, Liaoning, China.
- Institute of Health Sciences, China Medical University, Shenyang, 110122, Liaoning, China.
- Department of Physiology and Pharmacology, Karolinska Institute, Solna, 171 65, Sweden.
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48
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Eskandari-Malayeri F, Rezeai M, Narimani T, Esmaeil N, Azizi M. Investigating the effect of Fusobacterium nucleatum on the aggressive behavior of cancer-associated fibroblasts in colorectal cancer. Discov Oncol 2024; 15:292. [PMID: 39030445 PMCID: PMC11264641 DOI: 10.1007/s12672-024-01156-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 07/13/2024] [Indexed: 07/21/2024] Open
Abstract
Fusobacterium nucleatum, (F. nucleatum) as a known factor in inducing oncogenic, invasive, and inflammatory responses, can lead to an increase in the incidence and progression of colorectal cancer (CRC). Cancer-associated fibroblasts (CAF) are also one of the key components of the tumor microenvironment (TME), which lead to resistance to treatment, metastasis, and disease recurrence with their markers, secretions, and functions. This study aimed to investigate the effect of F. nucleatum on the invasive phenotype and function of fibroblast cells isolated from normal and cancerous colorectal tissue. F. nucleatum bacteria were isolated from deep periodontal pockets and confirmed by various tests. CAF cells from tumor tissue and normal fibroblasts (NF) from a distance of 10 cm of tumor tissue were isolated from 5 patients by the explant method and were exposed to secretions and ghosts of F. nucleatum. The expression level of two markers, fibroblast activation protein (FAP), and α-smooth muscle actin (α-SMA), and the amount of production of two cytokines TGF-β and IL-6 from fibroblast cells were measured by flow cytometry and ELISA test, respectively before and after exposure to different bacterial components. The expression of the FAP marker was significantly higher in CAF cells compared to NF cells (P < 0.05). Also, the expression of IL-6 in CAF cells was higher than that of NF cells. In investigating the effect of bacterial components on the function of fibroblastic cells, after comparing the amount of IL-6 produced between the normal tissue of each patient and his tumoral tissue under 4 treated conditions, it was found that the amount of IL-6 production from the CAF cells of patients in the control group, treated with heat-killed ghosts and treated with paraformaldehyde-fixed ghosts had a significant increase compared to NF cells (P < 0.05). Due to the significant increase in FAP marker expression in fibroblast cells of tumor tissue compared to normal tissue, it seems that FAP can be used as a very good therapeutic marker, especially in patients with high levels of CAF cells. Various components of F. nucleatum could affect fibroblast cells differentially and at least part of the effect of this bacterium in the TME is mediated by CAF cells.
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Affiliation(s)
| | - Marzieh Rezeai
- Department of Immunology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
| | - Tahmineh Narimani
- Department of Microbiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Nafiseh Esmaeil
- Department of Immunology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mahdieh Azizi
- Department of Immunology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
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49
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van Baarle L, De Simone V, Schneider L, Santhosh S, Abdurahiman S, Biscu F, Schneider R, Zanoletti L, Siqueira de Mello R, Verbandt S, Hu Z, Stakenborg M, Ke BJ, Stakenborg N, Salvador Laureano R, García-Reyes B, Henn J, Toma M, Vanmechelen M, Boeckxstaens G, De Smet F, Garg AD, Ibiza S, Tejpar S, Wehner S, Matteoli G. IL-1R signaling drives enteric glia-macrophage interactions in colorectal cancer. Nat Commun 2024; 15:6079. [PMID: 39030280 PMCID: PMC11271635 DOI: 10.1038/s41467-024-50438-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 07/11/2024] [Indexed: 07/21/2024] Open
Abstract
Enteric glia have been recently recognized as key components of the colonic tumor microenvironment indicating their potential role in colorectal cancer pathogenesis. Although enteric glia modulate immune responses in other intestinal diseases, their interaction with the colorectal cancer immune cell compartment remains unclear. Through a combination of single-cell and bulk RNA-sequencing, both in murine models and patients, here we find that enteric glia acquire an immunomodulatory phenotype by bi-directional communication with tumor-infiltrating monocytes. The latter direct a reactive enteric glial cell phenotypic and functional switch via glial IL-1R signaling. In turn, tumor glia promote monocyte differentiation towards pro-tumorigenic SPP1+ tumor-associated macrophages by IL-6 release. Enteric glia cell abundancy correlates with worse disease outcomes in preclinical models and colorectal cancer patients. Thereby, our study reveals a neuroimmune interaction between enteric glia and tumor-associated macrophages in the colorectal tumor microenvironment, providing insights into colorectal cancer pathogenesis.
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Affiliation(s)
- Lies van Baarle
- Laboratory of Mucosal Immunology, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
| | - Veronica De Simone
- Laboratory of Mucosal Immunology, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
| | - Linda Schneider
- Department of Surgery, University Hospital Bonn, Medical Faculty, Bonn, Germany
| | - Sneha Santhosh
- Laboratory of Mucosal Immunology, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
- Department of Anatomy and Physiology, University of Melbourne, Parkville, VIC, Australia
| | - Saeed Abdurahiman
- Laboratory of Mucosal Immunology, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
| | - Francesca Biscu
- Laboratory of Mucosal Immunology, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
- Centre for Inflammation Research, University of Edinburgh, Edinburgh, UK
| | - Reiner Schneider
- Department of Surgery, University Hospital Bonn, Medical Faculty, Bonn, Germany
| | - Lisa Zanoletti
- Laboratory of Mucosal Immunology, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia, Italy
| | - Renata Siqueira de Mello
- Laboratory of Mucosal Immunology, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
| | - Sara Verbandt
- Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Zedong Hu
- Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Michelle Stakenborg
- Laboratory of Mucosal Immunology, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
| | - Bo-Jun Ke
- Laboratory of Mucosal Immunology, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
| | - Nathalie Stakenborg
- Laboratory for Intestinal Neuro-Immune Interaction, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
| | - Raquel Salvador Laureano
- Cell Stress and Immunity (CSI) Lab, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Balbina García-Reyes
- Department of Surgery, University Hospital Bonn, Medical Faculty, Bonn, Germany
- Mildred Scheel School of Oncology, Aachen Bonn Cologne Düsseldorf (MSSO ABCD), University Hospital Bonn, Medical Faculty, Bonn, Germany
| | - Jonas Henn
- Department of Surgery, University Hospital Bonn, Medical Faculty, Bonn, Germany
| | - Marieta Toma
- Department of Pathology, University Hospital Bonn, Medical Faculty, Bonn, Germany
| | - Maxime Vanmechelen
- Translational Cell and Tissue Research Unit, Department of Imaging & Pathology, Laboratory for Precision Cancer Medicine, KU Leuven, Leuven, Belgium
- Leuven Institute for Single-Cell Omics (LISCO), KU Leuven, Leuven, Belgium
| | - Guy Boeckxstaens
- Laboratory for Intestinal Neuro-Immune Interaction, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
| | - Frederik De Smet
- Translational Cell and Tissue Research Unit, Department of Imaging & Pathology, Laboratory for Precision Cancer Medicine, KU Leuven, Leuven, Belgium
- Leuven Institute for Single-Cell Omics (LISCO), KU Leuven, Leuven, Belgium
| | - Abhishek D Garg
- Cell Stress and Immunity (CSI) Lab, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Sales Ibiza
- Laboratory of Cell Biology & Histology, Department of Veterinary Sciences, University of Antwerp, Antwerp, Belgium
| | - Sabine Tejpar
- Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Sven Wehner
- Department of Surgery, University Hospital Bonn, Medical Faculty, Bonn, Germany.
| | - Gianluca Matteoli
- Laboratory of Mucosal Immunology, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium.
- Leuven Institute for Single-Cell Omics (LISCO), KU Leuven, Leuven, Belgium.
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50
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Panda VK, Mishra B, Nath AN, Butti R, Yadav AS, Malhotra D, Khanra S, Mahapatra S, Mishra P, Swain B, Majhi S, Kumari K, Radharani NNV, Kundu GC. Osteopontin: A Key Multifaceted Regulator in Tumor Progression and Immunomodulation. Biomedicines 2024; 12:1527. [PMID: 39062100 PMCID: PMC11274826 DOI: 10.3390/biomedicines12071527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2024] [Revised: 06/22/2024] [Accepted: 06/25/2024] [Indexed: 07/28/2024] Open
Abstract
The tumor microenvironment (TME) is composed of various cellular components such as tumor cells, stromal cells including fibroblasts, adipocytes, mast cells, lymphatic vascular cells and infiltrating immune cells, macrophages, dendritic cells and lymphocytes. The intricate interplay between these cells influences tumor growth, metastasis and therapy failure. Significant advancements in breast cancer therapy have resulted in a substantial decrease in mortality. However, existing cancer treatments frequently result in toxicity and nonspecific side effects. Therefore, improving targeted drug delivery and increasing the efficacy of drugs is crucial for enhancing treatment outcome and reducing the burden of toxicity. In this review, we have provided an overview of how tumor and stroma-derived osteopontin (OPN) plays a key role in regulating the oncogenic potential of various cancers including breast. Next, we dissected the signaling network by which OPN regulates tumor progression through interaction with selective integrins and CD44 receptors. This review addresses the latest advancements in the roles of splice variants of OPN in cancer progression and OPN-mediated tumor-stromal interaction, EMT, CSC enhancement, immunomodulation, metastasis, chemoresistance and metabolic reprogramming, and further suggests that OPN might be a potential therapeutic target and prognostic biomarker for the evolving landscape of cancer management.
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Affiliation(s)
- Venketesh K. Panda
- School of Biotechnology, KIIT Deemed to be University, Bhubaneswar 751024, India; (V.K.P.); (B.M.); (A.N.N.); (D.M.); (S.K.); (S.M.); (P.M.); (B.S.); (S.M.); (K.K.)
| | - Barnalee Mishra
- School of Biotechnology, KIIT Deemed to be University, Bhubaneswar 751024, India; (V.K.P.); (B.M.); (A.N.N.); (D.M.); (S.K.); (S.M.); (P.M.); (B.S.); (S.M.); (K.K.)
| | - Angitha N. Nath
- School of Biotechnology, KIIT Deemed to be University, Bhubaneswar 751024, India; (V.K.P.); (B.M.); (A.N.N.); (D.M.); (S.K.); (S.M.); (P.M.); (B.S.); (S.M.); (K.K.)
| | - Ramesh Butti
- Division of Hematology and Oncology, Department of Internal Medicine, Southwestern Medical Center, University of Texas, Dallas, TX 75235, USA;
| | - Amit Singh Yadav
- Biomedical Centre, Faculty of Medicine, Lund University, 223 62 Lund, Sweden; (A.S.Y.); (N.N.V.R.)
| | - Diksha Malhotra
- School of Biotechnology, KIIT Deemed to be University, Bhubaneswar 751024, India; (V.K.P.); (B.M.); (A.N.N.); (D.M.); (S.K.); (S.M.); (P.M.); (B.S.); (S.M.); (K.K.)
| | - Sinjan Khanra
- School of Biotechnology, KIIT Deemed to be University, Bhubaneswar 751024, India; (V.K.P.); (B.M.); (A.N.N.); (D.M.); (S.K.); (S.M.); (P.M.); (B.S.); (S.M.); (K.K.)
| | - Samikshya Mahapatra
- School of Biotechnology, KIIT Deemed to be University, Bhubaneswar 751024, India; (V.K.P.); (B.M.); (A.N.N.); (D.M.); (S.K.); (S.M.); (P.M.); (B.S.); (S.M.); (K.K.)
| | - Priyanka Mishra
- School of Biotechnology, KIIT Deemed to be University, Bhubaneswar 751024, India; (V.K.P.); (B.M.); (A.N.N.); (D.M.); (S.K.); (S.M.); (P.M.); (B.S.); (S.M.); (K.K.)
| | - Biswajit Swain
- School of Biotechnology, KIIT Deemed to be University, Bhubaneswar 751024, India; (V.K.P.); (B.M.); (A.N.N.); (D.M.); (S.K.); (S.M.); (P.M.); (B.S.); (S.M.); (K.K.)
| | - Sambhunath Majhi
- School of Biotechnology, KIIT Deemed to be University, Bhubaneswar 751024, India; (V.K.P.); (B.M.); (A.N.N.); (D.M.); (S.K.); (S.M.); (P.M.); (B.S.); (S.M.); (K.K.)
| | - Kavita Kumari
- School of Biotechnology, KIIT Deemed to be University, Bhubaneswar 751024, India; (V.K.P.); (B.M.); (A.N.N.); (D.M.); (S.K.); (S.M.); (P.M.); (B.S.); (S.M.); (K.K.)
| | - N. N. V. Radharani
- Biomedical Centre, Faculty of Medicine, Lund University, 223 62 Lund, Sweden; (A.S.Y.); (N.N.V.R.)
| | - Gopal C. Kundu
- School of Biotechnology, KIIT Deemed to be University, Bhubaneswar 751024, India; (V.K.P.); (B.M.); (A.N.N.); (D.M.); (S.K.); (S.M.); (P.M.); (B.S.); (S.M.); (K.K.)
- Kalinga Institute of Medical Sciences (KIMS), KIIT Deemed to be University, Bhubaneswar 751024, India
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