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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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2
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Declercq M, Treps L, Geldhof V, Conchinha NV, de Rooij LPMH, Subramanian A, Feyeux M, Cotinat M, Boeckx B, Vinckier S, Dupont L, Vermeulen F, Boon M, Proesmans M, Libbrecht L, Pirenne J, Monbaliu D, Jochmans I, Dewerchin M, Eelen G, Roskams T, Verleden S, Lambrechts D, Carmeliet P, Witters P. Single-cell RNA sequencing of cystic fibrosis liver disease explants reveals endothelial complement activation. Liver Int 2024; 44:2382-2395. [PMID: 38847551 DOI: 10.1111/liv.15963] [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: 11/27/2023] [Revised: 04/04/2024] [Accepted: 04/21/2024] [Indexed: 08/30/2024]
Abstract
BACKGROUND & AIMS Cystic fibrosis (CF) is considered a multisystemic disorder in which CF-associated liver disease (CFLD) is the third most common cause of mortality. Currently, no effective treatment is available for CFLD because its pathophysiology is still unclear. Interestingly, CFLD exhibits identical vascular characteristics as non-cirrhotic portal hypertension, recently classified as porto-sinusoidal vascular disorders (PSVD). METHODS Since endothelial cells (ECs) are an important component in PSVD, we performed single-cell RNA sequencing (scRNA-seq) on four explant livers from CFLD patients to identify differential endothelial characteristics which could contribute to the disease. We comprehensively characterized the endothelial compartment and compared it with publicly available scRNA-seq datasets from cirrhotic and healthy livers. Key gene signatures were validated ex vivo on patient tissues. RESULTS We found that ECs from CF liver explants are more closely related to healthy than cirrhotic patients. In CF patients we also discovered a distinct population of liver sinusoidal ECs-coined CF LSECs-upregulating genes involved in the complement cascade and coagulation. Finally, our immunostainings further validated the predominant periportal location of CF LSECs. CONCLUSIONS Our work showed novel aspects of human liver ECs at the single-cell level thereby supporting endothelial involvement in CFLD, and reinforcing the hypothesis that ECs could be a driver of PSVD. Therefore, considering the vascular compartment in CF and CFLD may help developing new therapeutic approaches for these diseases.
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Affiliation(s)
- Mathias Declercq
- Department of Development and Regeneration, Woman and Child Unit, KU Leuven, Leuven, Belgium
- Laboratory of Angiogenesis and Vascular Metabolism, Department of Oncology and Leuven Cancer Institute (LKI), KU Leuven, VIB Center for Cancer Biology, VIB, Leuven, Belgium
| | - Lucas Treps
- Laboratory of Angiogenesis and Vascular Metabolism, Department of Oncology and Leuven Cancer Institute (LKI), KU Leuven, VIB Center for Cancer Biology, VIB, Leuven, Belgium
- Nantes Université, INSERM UMR 1307, CNRS UMR 6075, Université d'Angers, CRCI2NA, Nantes, France
| | - Vincent Geldhof
- Laboratory of Angiogenesis and Vascular Metabolism, Department of Oncology and Leuven Cancer Institute (LKI), KU Leuven, VIB Center for Cancer Biology, VIB, Leuven, Belgium
| | - Nadine V Conchinha
- Laboratory of Angiogenesis and Vascular Metabolism, Department of Oncology and Leuven Cancer Institute (LKI), KU Leuven, VIB Center for Cancer Biology, VIB, Leuven, Belgium
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Laura P M H de Rooij
- Laboratory of Angiogenesis and Vascular Metabolism, Department of Oncology and Leuven Cancer Institute (LKI), KU Leuven, VIB Center for Cancer Biology, VIB, Leuven, Belgium
- The CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Abhishek Subramanian
- Laboratory of Angiogenesis and Vascular Metabolism, Department of Oncology and Leuven Cancer Institute (LKI), KU Leuven, VIB Center for Cancer Biology, VIB, Leuven, Belgium
- Department of Biotechnology, Indian Institute of Technology, Hyderabad, Telangana, India
| | - Magalie Feyeux
- Nantes Université, CHU Nantes, CNRS, Inserm, BioCore, US16, SFR Bonamy, Nantes, France
| | - Marine Cotinat
- Nantes Université, INSERM UMR 1307, CNRS UMR 6075, Université d'Angers, CRCI2NA, Nantes, France
| | - Bram Boeckx
- Laboratory for Translational Genetics, Center for Cancer Biology, VIB, Leuven, Belgium
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Stefan Vinckier
- Laboratory of Angiogenesis and Vascular Metabolism, Department of Oncology and Leuven Cancer Institute (LKI), KU Leuven, VIB Center for Cancer Biology, VIB, Leuven, Belgium
| | - Lieven Dupont
- Department of Pneumology, UZ Leuven, Leuven, Belgium
- Department of Chronic Diseases and Metabolism, Respiratory Diseases and Thoracic Surgery, KU Leuven, Leuven, Belgium
| | - Francois Vermeulen
- Department of Development and Regeneration, Woman and Child Unit, KU Leuven, Leuven, Belgium
- Department of Pediatrics, Pediatric Pulmonology, University Hospital of Leuven, Leuven, Flanders, Belgium
| | - Mieke Boon
- Department of Development and Regeneration, Woman and Child Unit, KU Leuven, Leuven, Belgium
- Department of Pediatrics, Pediatric Pulmonology, University Hospital of Leuven, Leuven, Flanders, Belgium
| | - Marijke Proesmans
- Department of Development and Regeneration, Woman and Child Unit, KU Leuven, Leuven, Belgium
- Department of Pediatrics, Pediatric Pulmonology, University Hospital of Leuven, Leuven, Flanders, Belgium
| | - Louis Libbrecht
- Department of Pathology, Cliniques Universitaires Saint-Luc, Brussels, Belgium
- Department of Pathology, AZ Groeninge, Kortrijk, Belgium
- Laboratory of Hepatology, KU Leuven, Leuven, Belgium
| | - Jacques Pirenne
- Transplantation Research Group, Department of Immunology, Microbiology and Transplantation, KU Leuven, Leuven, Belgium
- Department of Abdominal Transplant Surgery, University Hospitals Leuven, Leuven, Belgium
| | - Diethard Monbaliu
- Transplantation Research Group, Department of Immunology, Microbiology and Transplantation, KU Leuven, Leuven, Belgium
- Department of Abdominal Transplant Surgery, University Hospitals Leuven, Leuven, Belgium
| | - Ina Jochmans
- Transplantation Research Group, Department of Immunology, Microbiology and Transplantation, KU Leuven, Leuven, Belgium
- Department of Abdominal Transplant Surgery, University Hospitals Leuven, Leuven, Belgium
| | - Mieke Dewerchin
- Laboratory of Angiogenesis and Vascular Metabolism, Department of Oncology and Leuven Cancer Institute (LKI), KU Leuven, VIB Center for Cancer Biology, VIB, Leuven, Belgium
| | - Guy Eelen
- Laboratory of Angiogenesis and Vascular Metabolism, Department of Oncology and Leuven Cancer Institute (LKI), KU Leuven, VIB Center for Cancer Biology, VIB, Leuven, Belgium
| | - Tania Roskams
- Department of Imaging and Pathology, Translational Cell and Tissue Research, KU Leuven and University Hospitals Leuven, Leuven, Belgium
| | - Stijn Verleden
- Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), Department CHROMETA, KU Leuven, Leuven, Belgium
- Department of ASTARC, University of Antwerp, Wilrijk, Belgium
| | - Diether Lambrechts
- Laboratory for Translational Genetics, Center for Cancer Biology, VIB, Leuven, Belgium
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Peter Carmeliet
- Laboratory of Angiogenesis and Vascular Metabolism, Department of Oncology and Leuven Cancer Institute (LKI), KU Leuven, VIB Center for Cancer Biology, VIB, Leuven, Belgium
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Peter Witters
- Department of Development and Regeneration, Woman and Child Unit, KU Leuven, Leuven, Belgium
- Department of Paediatrics and Metabolic Center, University Hospitals Leuven, Leuven, Belgium
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3
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Yeh CY, Aguirre K, Laveroni O, Kim S, Wang A, Liang B, Zhang X, Han LM, Valbuena R, Bassik MC, Kim YM, Plevritis SK, Snyder MP, Howitt BE, Jerby L. Mapping spatial organization and genetic cell-state regulators to target immune evasion in ovarian cancer. Nat Immunol 2024:10.1038/s41590-024-01943-5. [PMID: 39179931 DOI: 10.1038/s41590-024-01943-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 07/25/2024] [Indexed: 08/26/2024]
Abstract
The drivers of immune evasion are not entirely clear, limiting the success of cancer immunotherapies. Here we applied single-cell spatial and perturbational transcriptomics to delineate immune evasion in high-grade serous tubo-ovarian cancer. To this end, we first mapped the spatial organization of high-grade serous tubo-ovarian cancer by profiling more than 2.5 million cells in situ in 130 tumors from 94 patients. This revealed a malignant cell state that reflects tumor genetics and is predictive of T cell and natural killer cell infiltration levels and response to immune checkpoint blockade. We then performed Perturb-seq screens and identified genetic perturbations-including knockout of PTPN1 and ACTR8-that trigger this malignant cell state. Finally, we show that these perturbations, as well as a PTPN1/PTPN2 inhibitor, sensitize ovarian cancer cells to T cell and natural killer cell cytotoxicity, as predicted. This study thus identifies ways to study and target immune evasion by linking genetic variation, cell-state regulators and spatial biology.
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Affiliation(s)
- Christine Yiwen Yeh
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Karmen Aguirre
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Cancer Biology Program, Stanford University, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Olivia Laveroni
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Subin Kim
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Aihui Wang
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Brooke Liang
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Xiaoming Zhang
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Lucy M Han
- Department of Pathology, California Pacific Medical Center, San Francisco, CA, USA
| | - Raeline Valbuena
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael C Bassik
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Young-Min Kim
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Sylvia K Plevritis
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael P Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Brooke E Howitt
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
| | - Livnat Jerby
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
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4
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Yu J, Yan Y, Li S, Xu Y, Parolia A, Rizvi S, Wang W, Zhai Y, Xiao R, Li X, Liao P, Zhou J, Okla K, Lin H, Lin X, Grove S, Wei S, Vatan L, Hu J, Szumilo J, Kotarski J, Freeman ZT, Skala S, Wicha M, Cho KR, Chinnaiyan AM, Schon S, Wen F, Kryczek I, Wang S, Chen L, Zou W. Progestogen-driven B7-H4 contributes to onco-fetal immune tolerance. Cell 2024; 187:4713-4732.e19. [PMID: 38968937 PMCID: PMC11344674 DOI: 10.1016/j.cell.2024.06.012] [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: 07/19/2023] [Revised: 02/09/2024] [Accepted: 06/09/2024] [Indexed: 07/07/2024]
Abstract
Immune tolerance mechanisms are shared in cancer and pregnancy. Through cross-analyzing single-cell RNA-sequencing data from multiple human cancer types and the maternal-fetal interface, we found B7-H4 (VTCN1) is an onco-fetal immune tolerance checkpoint. We showed that genetic deficiency of B7-H4 resulted in immune activation and fetal resorption in allogeneic pregnancy models. Analogously, B7-H4 contributed to MPA/DMBA-induced breast cancer progression, accompanied by CD8+ T cell exhaustion. Female hormone screening revealed that progesterone stimulated B7-H4 expression in placental and breast cancer cells. Mechanistically, progesterone receptor (PR) bound to a newly identified -58 kb enhancer, thereby mediating B7-H4 transcription via the PR-P300-BRD4 axis. PR antagonist or BRD4 degrader potentiated immunotherapy in a murine B7-H4+ breast cancer model. Thus, our work unravels a mechanistic and biological connection of a female sex hormone (progesterone) to onco-fetal immune tolerance via B7-H4 and suggests that the PR-P300-BRD4 axis is targetable for treating B7-H4+ cancer.
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Affiliation(s)
- Jiali Yu
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Yijian Yan
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Shasha Li
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Ying Xu
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Abhijit Parolia
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Syed Rizvi
- Department of Chemical Engineering, University of Michigan School of Engineering, Ann Arbor, MI, USA
| | - Weichao Wang
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Yiwen Zhai
- Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Rongxin Xiao
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Xiong Li
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Peng Liao
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Jiajia Zhou
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Karolina Okla
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA; Department of Oncological Gynecology and Gynecology, Medical University of Lublin, Lublin, Poland
| | - Heng Lin
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Xun Lin
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Sara Grove
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Shuang Wei
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Linda Vatan
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Jiantao Hu
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Justyna Szumilo
- Department of Clinical Pathomorphology, Medical University of Lublin, Lublin, Poland
| | - Jan Kotarski
- Department of Oncological Gynecology and Gynecology, Medical University of Lublin, Lublin, Poland
| | - Zachary T Freeman
- Unit for Laboratory Animal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Stephanie Skala
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Max Wicha
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Kathleen R Cho
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Arul M Chinnaiyan
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Howard Hughes Medical Institute, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Samantha Schon
- Department of Obstetrics and Gynecology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Fei Wen
- Department of Chemical Engineering, University of Michigan School of Engineering, Ann Arbor, MI, USA
| | - Ilona Kryczek
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Shaomeng Wang
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Pharmacology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Lieping Chen
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA
| | - Weiping Zou
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA; Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA; Graduate Program in Immunology, University of Michigan, Ann Arbor, MI, USA; Graduate Program in Cancer Biology, University of Michigan, Ann Arbor, MI, USA.
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5
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Liu H, Dong A, Rasteh AM, Wang P, Weng J. Identification of the novel exhausted T cell CD8 + markers in breast cancer. Sci Rep 2024; 14:19142. [PMID: 39160211 PMCID: PMC11333736 DOI: 10.1038/s41598-024-70184-1] [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: 10/20/2023] [Accepted: 08/13/2024] [Indexed: 08/21/2024] Open
Abstract
Cancer is one of the most concerning public health issues and breast cancer is one of the most common cancers in the world. The immune cells within the tumor microenvironment regulate cancer development. In this study, single immune cell data sets were used to identify marker gene sets for exhausted CD8 + T cells (CD8Tex) in breast cancer. Machine learning methods were used to cluster subtypes and establish the prognostic models with breast cancer bulk data using the gene sets to evaluate the impacts of CD8Tex. We analyzed breast cancer overexpressing and survival-associated marker genes and identified CD8Tex hub genes in the protein-protein-interaction network. The relevance of the hub genes for CD8 + T-cells in breast cancer was evaluated. The clinical associations of the hub genes were analyzed using bulk sequencing data and spatial sequencing data. The pan-cancer expression, survival, and immune association of the hub genes were analyzed. We identified biomarker gene sets for CD8Tex in breast cancer. CD8Tex-based subtyping systems and prognostic models performed well in the separation of patients with different immune relevance and survival. CRTAM, CLEC2D, and KLRB1 were identified as CD8Tex hub genes and were demonstrated to have potential clinical relevance and immune therapy impact. This study provides a unique view of the critical CD8Tex hub genes for cancer immune therapy.
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Affiliation(s)
- Hengrui Liu
- Cancer Research Institute, Jinan University, Guangzhou, China
| | | | | | - Panpan Wang
- The First Affiliated Hospital of Jinan University, Guangzhou, China.
| | - Jieling Weng
- Department of Pathology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
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6
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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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7
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Wang S, Zhang B, Lou Z, Hu Y, Wang J, Wang J, Chen Z, Yin S. Single-cell RNA-Seq reveals the heterogeneity of fibroblasts within the tympanojugular paraganglioma microenvironment. Heliyon 2024; 10:e35478. [PMID: 39170307 PMCID: PMC11336777 DOI: 10.1016/j.heliyon.2024.e35478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2024] [Accepted: 07/29/2024] [Indexed: 08/23/2024] Open
Abstract
Tympanojugular paragangliomas (TJP) originate from the parasympathetic ganglia in the lateral base of the skull. Although the cellular composition and oncogenic mechanisms of paragangliomas have been evaluated, a comprehensive transcriptomic atlas specific to TJP remains to be established to facilitate further investigations. In this study, single-cell RNA sequencing and whole-exome sequencing were conducted on six surgically excised TJP samples to determine their cellular composition and intratumoral heterogeneity. Fibroblasts were sub-classified into two distinct groups: myofibroblasts and fibroblasts associated with bone remodeling. Additionally, an elaborate regulatory and cell-cell communication network was determined, highlighting the multifaceted role of fibroblasts, which varies depending on expression transitions. The Kit receptor (KIT) signaling pathway mediated interactions between fibroblasts and mast cells, whereas robust connections with endothelial and Schwann cell-like cells were facilitated through the platelet-derived growth factor signaling pathway. These findings establish a foundation for studying the mechanisms underlying protumor angiogenesis and the specific contributions of fibroblasts within the TJP microenvironment. IL6 signaling pathway of fibroblasts interacting with macrophages and endothelial cells may be involved in tumor regrowth. These results enhance our understanding of fibroblast functionality and provide a resource for future therapeutic targeting of TJP.
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Affiliation(s)
- Shengming Wang
- Otolaryngology Institute of Shanghai Jiao Tong University, China
- Department of Otolaryngology Head and Neck Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Boya Zhang
- Otolaryngology Institute of Shanghai Jiao Tong University, China
- Department of Otolaryngology Head and Neck Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zihan Lou
- Otolaryngology Institute of Shanghai Jiao Tong University, China
- Department of Otolaryngology Head and Neck Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yibing Hu
- Otolaryngology Institute of Shanghai Jiao Tong University, China
- Department of Otolaryngology Head and Neck Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jian Wang
- School of Communication Sciences and Disorders, Dalhousie University, Halifax, NS, Canada
| | - Jingjing Wang
- Otolaryngology Institute of Shanghai Jiao Tong University, China
- Department of Otolaryngology Head and Neck Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhengnong Chen
- Otolaryngology Institute of Shanghai Jiao Tong University, China
- Department of Otolaryngology Head and Neck Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shankai Yin
- Otolaryngology Institute of Shanghai Jiao Tong University, China
- Department of Otolaryngology Head and Neck Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
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8
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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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9
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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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10
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Li J, Shyr Y, Liu Q. aKNNO: single-cell and spatial transcriptomics clustering with an optimized adaptive k-nearest neighbor graph. Genome Biol 2024; 25:203. [PMID: 39090647 PMCID: PMC11293182 DOI: 10.1186/s13059-024-03339-y] [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: 06/16/2023] [Accepted: 07/16/2024] [Indexed: 08/04/2024] Open
Abstract
Typical clustering methods for single-cell and spatial transcriptomics struggle to identify rare cell types, while approaches tailored to detect rare cell types gain this ability at the cost of poorer performance for grouping abundant ones. Here, we develop aKNNO to simultaneously identify abundant and rare cell types based on an adaptive k-nearest neighbor graph with optimization. Benchmarking on 38 simulated and 20 single-cell and spatial transcriptomics datasets demonstrates that aKNNO identifies both abundant and rare cell types more accurately than general and specialized methods. Using only gene expression aKNNO maps abundant and rare cells more precisely compared to integrative approaches.
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Affiliation(s)
- Jia Li
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, 37203, USA
- Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN, 37203, USA
| | - Yu Shyr
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, 37203, USA.
- Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN, 37203, USA.
| | - Qi Liu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, 37203, USA.
- Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN, 37203, USA.
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11
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Ramos C, Gerakopoulos V, Oehler R. Metastasis-associated fibroblasts in peritoneal surface malignancies. Br J Cancer 2024; 131:407-419. [PMID: 38783165 PMCID: PMC11300623 DOI: 10.1038/s41416-024-02717-4] [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: 05/06/2024] [Accepted: 05/09/2024] [Indexed: 05/25/2024] Open
Abstract
Over decades, peritoneal surface malignancies (PSMs) have been associated with limited treatment options and poor prognosis. However, advancements in perioperative systemic chemotherapy, cytoreductive surgery (CRS), and hyperthermic intraperitoneal chemotherapy (HIPEC) have significantly improved clinical outcomes. PSMs predominantly result from the spread of intra-abdominal neoplasia, which then form secondary peritoneal metastases. Colorectal, ovarian, and gastric cancers are the most common contributors. Despite diverse primary origins, the uniqueness of the peritoneum microenvironment shapes the common features of PSMs. Peritoneal metastization involves complex interactions between tumour cells and the peritoneal microenvironment. Fibroblasts play a crucial role, contributing to tumour development, progression, and therapy resistance. Peritoneal metastasis-associated fibroblasts (MAFs) in PSMs exhibit high heterogeneity. Single-cell RNA sequencing technology has revealed that immune-regulatory cancer-associated fibroblasts (iCAFs) seem to be the most prevalent subtype in PSMs. In addition, other major subtypes as myofibroblastic CAFs (myCAFs) and matrix CAFs (mCAFs) were frequently observed across PSMs studies. Peritoneal MAFs are suggested to originate from mesothelial cells, submesothelial fibroblasts, pericytes, endothelial cells, and omental-resident cells. This plasticity and heterogeneity of CAFs contribute to the complex microenvironment in PSMs, impacting treatment responses. Understanding these interactions is crucial for developing targeted and local therapies to improve PSMs patient outcomes.
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Affiliation(s)
- Cristiano Ramos
- Department of General Surgery, Division of Visceral Surgery, Medical University of Vienna, Vienna, Austria
| | - Vasileios Gerakopoulos
- Department of General Surgery, Division of Visceral Surgery, Medical University of Vienna, Vienna, Austria
| | - Rudolf Oehler
- Department of General Surgery, Division of Visceral Surgery, Medical University of Vienna, Vienna, Austria.
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12
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Ye QW, Liu YJ, Li JQ, Han M, Bian ZR, Chen TY, Li JP, Liu SL, Zou X. GJA4 expressed on cancer associated fibroblasts (CAFs)-A 'promoter' of the mesenchymal phenotype. Transl Oncol 2024; 46:102009. [PMID: 38833783 PMCID: PMC11190749 DOI: 10.1016/j.tranon.2024.102009] [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: 11/23/2023] [Revised: 05/09/2024] [Accepted: 05/25/2024] [Indexed: 06/06/2024] Open
Abstract
BACKGROUND Colorectal cancer (CRC) is the third most common cancer worldwide. Connexin is a transmembrane protein involved in gap junctions (GJs) formation. Our previous study found that connexin 37 (Cx37), encoded by gap junction protein alpha 4 (GJA4), expressed on fibroblasts acts as a promoter of CRC and is closely related to epithelial-mesenchymal transition (EMT) and tumor immune microenvironment. However, to date, the mechanism concerning the malignancy of GJA4 in tumor stroma has not been studied. METHODS Hematoxylin-eosin (HE) and immunohistochemical (IHC) staining were used to validate the expression and localization of GJA4. Using single-cell analysis, enrichment analysis, spatial transcriptomics, immunofluorescence staining (IF), Sirius red staining, wound healing and transwell assays, western blotting (WB), Cell Counting Kit-8 (CCK8) assay and in vivo experiments, we investigated the possible mechanisms of GJA4 in promoting CRC. RESULTS We discovered that in CRC, GJA4 on fibroblasts is involved in promoting fibroblast activation and promoting EMT through a fibroblast-dependent pathway. Furthermore, GJA4 may act synergistically with M2 macrophages to limit T cell infiltration by stimulating the formation of an immune-excluded desmoplasic barrier. Finally, we found a significantly correlation between GJA4 and pathological staging (P < 0.0001) or D2 dimer (R = 0.03, P < 0.05). CONCLUSION We have identified GJA4 expressed on fibroblasts is actually a promoter of the tumor mesenchymal phenotype. Our findings suggest that the interaction between GJA4+ fibroblasts and M2 macrophages may be an effective target for enhancing tumor immunotherapy.
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Affiliation(s)
- Qian-Wen Ye
- Department of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, Jiangsu, PR China; No.1 Clinical Medicial College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, PR China
| | - Yuan-Jie Liu
- Department of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, Jiangsu, PR China; No.1 Clinical Medicial College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, PR China
| | - Jia-Qi Li
- Department of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, Jiangsu, PR China; No.1 Clinical Medicial College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, PR China
| | - Mei Han
- Department of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, Jiangsu, PR China
| | - Ze-Ren Bian
- Department of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, Jiangsu, PR China; No.1 Clinical Medicial College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, PR China
| | - Tian-Yuan Chen
- Department of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, Jiangsu, PR China; No.1 Clinical Medicial College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, PR China
| | - Jie-Pin Li
- Jiangsu Province Key Laboratory of Tumor Systems Biology and Chinese Medicine, Nanjing, Jiangsu, PR China
| | - Shen-Lin Liu
- Department of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, Jiangsu, PR China.
| | - Xi Zou
- Department of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, Jiangsu, PR China; Jiangsu Province Key Laboratory of Tumor Systems Biology and Chinese Medicine, Nanjing, Jiangsu, PR China.
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13
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Choi WS, Kwon H, Yi E, Lee H, Kim JM, Park HJ, Choi EJ, Choi ME, Sung YH, Won CH, Sung CO, Kim HS. HPK1 Dysregulation-Associated NK Cell Dysfunction and Defective Expansion Promotes Metastatic Melanoma Progression. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2400920. [PMID: 38828677 PMCID: PMC11304315 DOI: 10.1002/advs.202400920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 05/10/2024] [Indexed: 06/05/2024]
Abstract
Distant metastasis, the leading cause of cancer death, is efficiently kept in check by immune surveillance. Studies have uncovered peripheral natural killer (NK) cells as key antimetastatic effectors and their dysregulation during metastasis. However, the molecular mechanism governing NK cell dysfunction links to metastasis remains elusive. Herein, MAP4K1 encoding HPK1 is aberrantly overexpressed in dysfunctional NK cells in the periphery and the metastatic site. Conditional HPK1 overexpression in NK cells suffices to exacerbate melanoma lung metastasis but not primary tumor growth. Conversely, MAP4K1-deficient mice are resistant to metastasis and further protected by combined immune-checkpoint inhibitors. Mechanistically, HPK1 restrains NK cell cytotoxicity and expansion via activating receptors. Likewise, HPK1 limits human NK cell activation and associates with melanoma NK cell dysfunction couples to TGF-β1 and patient response to immune checkpoint therapy. Thus, HPK1 is an intracellular checkpoint controlling NK-target cell responses, which is dysregulated and hijacked by tumors during metastatic progression.
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Affiliation(s)
- Woo Seon Choi
- Department of MicrobiologyStem Cell Immunomodulation Research CenterAsan Medical CenterUniversity of Ulsan College of MedicineSeoul05505Republic of Korea
| | - Hyung‐Joon Kwon
- Department of MicrobiologyStem Cell Immunomodulation Research CenterAsan Medical CenterUniversity of Ulsan College of MedicineSeoul05505Republic of Korea
| | - Eunbi Yi
- Department of MicrobiologyStem Cell Immunomodulation Research CenterAsan Medical CenterUniversity of Ulsan College of MedicineSeoul05505Republic of Korea
| | - Haeun Lee
- Department of MicrobiologyStem Cell Immunomodulation Research CenterAsan Medical CenterUniversity of Ulsan College of MedicineSeoul05505Republic of Korea
| | - Jung Min Kim
- Department of MicrobiologyStem Cell Immunomodulation Research CenterAsan Medical CenterUniversity of Ulsan College of MedicineSeoul05505Republic of Korea
| | - Hyo Jin Park
- Department of MicrobiologyStem Cell Immunomodulation Research CenterAsan Medical CenterUniversity of Ulsan College of MedicineSeoul05505Republic of Korea
| | - Eun Ji Choi
- Department of DermatologyAsan Institute for Life SciencesAsan Medical CenterUniversity of Ulsan College of MedicineSeoul05505Republic of Korea
| | - Myoung Eun Choi
- Department of DermatologyAsan Institute for Life SciencesAsan Medical CenterUniversity of Ulsan College of MedicineSeoul05505Republic of Korea
| | - Young Hoon Sung
- Department of Cell and Genetic EngineeringAsan Medical CenterUniversity of Ulsan College of MedicineSeoul05505Republic of Korea
| | - Chong Hyun Won
- Department of DermatologyAsan Institute for Life SciencesAsan Medical CenterUniversity of Ulsan College of MedicineSeoul05505Republic of Korea
| | - Chang Ohk Sung
- Department of PathologyAsan Medical Institute of Convergence Science and TechnologyAsan Medical CenterUniversity of Ulsan College of MedicineSeoul05505Republic of Korea
| | - Hun Sik Kim
- Department of MicrobiologyStem Cell Immunomodulation Research CenterAsan Medical CenterUniversity of Ulsan College of MedicineSeoul05505Republic of Korea
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14
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Elst L, Philips G, Vandermaesen K, Bassez A, Lodi F, Vreeburg MTA, Brouwer OR, Schepers R, Van Brussel T, Mohanty SK, Parwani AV, Spans L, Vanden Bempt I, Jacomen G, Baldewijns M, Lambrechts D, Albersen M. Single-cell Atlas of Penile Cancer Reveals TP53 Mutations as a Driver of an Aggressive Phenotype, Irrespective of Human Papillomavirus Status, and Provides Clues for Treatment Personalization. Eur Urol 2024; 86:114-127. [PMID: 38670879 DOI: 10.1016/j.eururo.2024.03.038] [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: 01/12/2024] [Revised: 03/11/2024] [Accepted: 03/25/2024] [Indexed: 04/28/2024]
Abstract
BACKGROUND AND OBJECTIVE TP53 loss-of-function (TP53LOF) mutations might be a driver of poor prognosis and chemoresistance in both human papillomavirus (HPV)-independent (HPV-) and HPV-associated (HPV+) penile squamous cell carcinoma (PSCC). Here, we aim to describe transcriptomic differences in the PSCC microenvironment stratified by TP53LOF and HPV status. METHODS We used single-cell RNA sequencing (scRNA-seq) and T-cell receptor sequencing to obtain a comprehensive atlas of the cellular architecture of PSCC. TP53LOF and HPV status were determined by targeted next-generation sequencing and sequencing HPV-DNA reads. Six HPV+ TP53 wild type (WT), six HPV- TP53WT, and four TP53LOF PSCC samples and six controls were included. Immunohistochemistry and hematoxylin-eosin confirmed the morphological context of the observed signatures. Prognostic differences between patient groups were validated in 541 PSCC patients using Kaplan-Meier survival estimates. KEY FINDINGS AND LIMITATIONS Patients with aberrant p53 staining fare much worse than patients with either HPV- or HPV+ tumors and WT p53 expression. Using scRNA-seq, we revealed 65 cell subtypes within 83 682 cells. TP53LOF tumors exhibit a partial epithelial-to-mesenchymal transition, immune-excluded, angiogenic, and morphologically invasive environment, underlying their aggressive phenotype. HPV- TP53WT tumors show stemness and immune exhaustion. HPV+ TP53WT tumors mirror normal epithelial maturation with upregulation of antibody-drug-conjugate targets and activation of innate immunity. Inherent to the scRNA-seq analysis, low sample size is a limitation and validation of signatures in large PSCC cohorts is needed. CONCLUSIONS AND CLINICAL IMPLICATIONS This first scRNA-seq atlas offers unprecedented in-depth insights into PSCC biology underlying prognostic differences based on TP53 and HPV status. Our findings provide clues for testing novel biomarker-driven therapies in PSCC. PATIENT SUMMARY Here, we analyzed tissues of penile cancer at the level of individual cells, which helps us understand why patients who harbor a deactivating mutation in the TP53 gene do much worse than patients lacking such a mutation. Such an analysis may help us tailor future therapies based on TP53 gene mutations and human papillomavirus status of these tumors.
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Affiliation(s)
- Laura Elst
- Center for Cancer Biology, Laboratory of Translational Genetics, VIB-KU Leuven, Leuven, Belgium; Department of Urology, University Hospitals Leuven, Leuven, Belgium; Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Gino Philips
- Center for Cancer Biology, Laboratory of Translational Genetics, VIB-KU Leuven, Leuven, Belgium
| | - Kaat Vandermaesen
- Center for Cancer Biology, Laboratory of Translational Genetics, VIB-KU Leuven, Leuven, Belgium; Department of Urology, University Hospitals Leuven, Leuven, Belgium; Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Ayse Bassez
- Center for Cancer Biology, Laboratory of Translational Genetics, VIB-KU Leuven, Leuven, Belgium
| | - Francesca Lodi
- Center for Cancer Biology, Laboratory of Translational Genetics, VIB-KU Leuven, Leuven, Belgium
| | - Manon T A Vreeburg
- Department of Urology, Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Oscar R Brouwer
- Department of Urology, Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Rogier Schepers
- Center for Cancer Biology, Laboratory of Translational Genetics, VIB-KU Leuven, Leuven, Belgium
| | - Thomas Van Brussel
- Center for Cancer Biology, Laboratory of Translational Genetics, VIB-KU Leuven, Leuven, Belgium
| | - Sambit K Mohanty
- Department of Pathology and Laboratory Medicine, Advanced Medical Research Institute, Bhubaneswar, India; Department of Pathology and Laboratory Medicine, CORE Diagnostics, Gurgaon, India
| | - Anil V Parwani
- Department of Pathology, Wexner Medical Center, Columbus, OH, USA
| | - Lien Spans
- Department of Human Genetics, University Hospitals Leuven, Leuven, Belgium
| | | | - Gerd Jacomen
- Laboratory of Pathological Anatomy, AZ Sint-Maarten, Mechelen, Belgium
| | | | - Diether Lambrechts
- Center for Cancer Biology, Laboratory of Translational Genetics, VIB-KU Leuven, Leuven, Belgium
| | - Maarten Albersen
- Department of Urology, University Hospitals Leuven, Leuven, Belgium; Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
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15
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Tang J, Chen Y, Wang C, Xia Y, Yu T, Tang M, Meng K, Yin L, Yang Y, Shen L, Xing H, Mao X. The role of mesenchymal stem cells in cancer and prospects for their use in cancer therapeutics. MedComm (Beijing) 2024; 5:e663. [PMID: 39070181 PMCID: PMC11283587 DOI: 10.1002/mco2.663] [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: 01/28/2024] [Revised: 06/26/2024] [Accepted: 07/01/2024] [Indexed: 07/30/2024] Open
Abstract
Mesenchymal stem cells (MSCs) are recruited by malignant tumor cells to the tumor microenvironment (TME) and play a crucial role in the initiation and progression of malignant tumors. This role encompasses immune evasion, promotion of angiogenesis, stimulation of cancer cell proliferation, correlation with cancer stem cells, multilineage differentiation within the TME, and development of treatment resistance. Simultaneously, extensive research is exploring the homing effect of MSCs and MSC-derived extracellular vesicles (MSCs-EVs) in tumors, aiming to design them as carriers for antitumor substances. These substances are targeted to deliver antitumor drugs to enhance drug efficacy while reducing drug toxicity. This paper provides a review of the supportive role of MSCs in tumor progression and the associated molecular mechanisms. Additionally, we summarize the latest therapeutic strategies involving engineered MSCs and MSCs-EVs in cancer treatment, including their utilization as carriers for gene therapeutic agents, chemotherapeutics, and oncolytic viruses. We also discuss the distribution and clearance of MSCs and MSCs-EVs upon entry into the body to elucidate the potential of targeted therapies based on MSCs and MSCs-EVs in cancer treatment, along with the challenges they face.
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Affiliation(s)
- Jian Tang
- Central LaboratoryXiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and ScienceXiangyangChina
| | - Yu Chen
- Central LaboratoryXiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and ScienceXiangyangChina
- Medical Affairs, Xiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and ScienceXiangyangChina
| | - Chunhua Wang
- Department of Clinical LaboratoryXiangyang No. 1 People's HospitalHubei University of MedicineXiangyangHubei ProvinceChina
| | - Ying Xia
- Central LaboratoryXiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and ScienceXiangyangChina
| | - Tingyu Yu
- Central LaboratoryXiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and ScienceXiangyangChina
| | - Mengjun Tang
- Central LaboratoryXiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and ScienceXiangyangChina
| | - Kun Meng
- Central LaboratoryXiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and ScienceXiangyangChina
| | - Lijuan Yin
- State Key Laboratory of Food Nutrition and SafetyKey Laboratory of Industrial MicrobiologyMinistry of EducationTianjin Key Laboratory of Industry MicrobiologyNational and Local United Engineering Lab of Metabolic Control Fermentation TechnologyChina International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal ChemistryCollege of BiotechnologyTianjin University of Science & TechnologyTianjinChina
| | - Yang Yang
- Shenzhen Key Laboratory of Pathogen and ImmunityNational Clinical Research Center for Infectious DiseaseState Key Discipline of Infectious DiseaseShenzhen Third People's HospitalSecond Hospital Affiliated to Southern University of Science and TechnologyShenzhenChina
| | - Liang Shen
- Central LaboratoryXiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and ScienceXiangyangChina
| | - Hui Xing
- Central LaboratoryXiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and ScienceXiangyangChina
- Department of Obstetrics and GynecologyXiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and SciencesXiangyangChina
| | - Xiaogang Mao
- Central LaboratoryXiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and ScienceXiangyangChina
- Department of Obstetrics and GynecologyXiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and SciencesXiangyangChina
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16
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Xiao Y, Gao L, Zhao X, Zhao W, Mai L, Ma C, Han Y, Li X. Novel prognostic alternative splicing events in colorectal Cancer: Impact on immune infiltration and therapy response. Int Immunopharmacol 2024; 139:112603. [PMID: 39043103 DOI: 10.1016/j.intimp.2024.112603] [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: 01/15/2024] [Revised: 06/06/2024] [Accepted: 06/29/2024] [Indexed: 07/25/2024]
Abstract
OBJECTIVE This study aims to comprehensively analyze alternative splicing (AS) features in colorectal cancer (CRC) using integrative multi-omics and to elucidate their relationship with the CRC immune microenvironment. METHODS Transcriptomic data, clinical information, and Percent Spliced In (PSI) values of AS events for CRC patients were obtained from The Cancer Genome Atlas (TCGA) and TCGA SpliceSeq databases. Differentially expressed AS events were identified. Univariate Cox analysis was used to pinpoint prognosis-related AS events. A prognostic risk model was developed and validated using multivariate Cox analysis, patient survival analysis, and the area under the receiver operating characteristic (ROC) curve (AUC). Gene Set Enrichment Analysis (GSEA), immune infiltration, immunotherapy, chemotherapy sensitivity analyses, and regulatory relationships between AS events and splicing factors (SFs) were conducted. Single-cell sequencing was used to study the distribution of key factors. siRNA and overexpression vectors were utilized to silence/overexpress BCAS1 in CRC cells and evaluate their effects on cell growth, migration, and invasion. Furthermore, the interaction between BCAS1 and ANO7 pre-mRNA was investigated using RIP-PCR. RESULTS 82 prognosis-related AS events were identified in CRC patients. A 15-AS prognostic model was constructed, which correlated with immune cell infiltration and showed differences in immunotherapy and chemotherapy sensitivity. BCAS1 was identified as a potential regulator of the ANO7|58341|AT splicing event in CRC. Single-cell sequencing analysis revealed the distribution of BCAS1 and ANO7 in cancer stem cells. In vitro experiments demonstrated that overexpression of BCAS1 and silencing of ANO7 inhibit the proliferation, migration, and invasion of CRC cells. Moreover, BCAS1 suppresses the progression of CRC by modulating ANO7 alternative splicing. CONCLUSION This study provides new insights into the role of alternative splicing in colorectal cancer, particularly the potential regulatory action of BCAS1 on the ANO7|58341|AT splicing event. It also identifies the impact of alternative splicing on the tumor microenvironment and potential implications for immunotherapy, highlighting its relevance for the in-depth study and treatment of CRC.
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Affiliation(s)
- Yizhi Xiao
- Department of Gastroenterology, Fifth Affiliated Hospital of Sun Yat-sen University, No. 52, Meihua East Road, Xiangzhou District, Zhuhai 519000, Guangdong Province, China
| | - Liangqing Gao
- Department of Gastroenterology, Fifth Affiliated Hospital of Sun Yat-sen University, No. 52, Meihua East Road, Xiangzhou District, Zhuhai 519000, Guangdong Province, China
| | - Xiaojuan Zhao
- Department of Gastroenterology, Fifth Affiliated Hospital of Sun Yat-sen University, No. 52, Meihua East Road, Xiangzhou District, Zhuhai 519000, Guangdong Province, China
| | - Wang Zhao
- Department of Gastroenterology, Fifth Affiliated Hospital of Sun Yat-sen University, No. 52, Meihua East Road, Xiangzhou District, Zhuhai 519000, Guangdong Province, China
| | - Lei Mai
- Department of Gastroenterology, Fifth Affiliated Hospital of Sun Yat-sen University, No. 52, Meihua East Road, Xiangzhou District, Zhuhai 519000, Guangdong Province, China
| | - Chengmin Ma
- Department of Gastroenterology, Fifth Affiliated Hospital of Sun Yat-sen University, No. 52, Meihua East Road, Xiangzhou District, Zhuhai 519000, Guangdong Province, China
| | - Yanzhi Han
- Department of Gastroenterology, Fifth Affiliated Hospital of Sun Yat-sen University, No. 52, Meihua East Road, Xiangzhou District, Zhuhai 519000, Guangdong Province, China.
| | - Xiaofeng Li
- Department of Gastroenterology, Fifth Affiliated Hospital of Sun Yat-sen University, No. 52, Meihua East Road, Xiangzhou District, Zhuhai 519000, Guangdong Province, China.
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17
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Zhou Y, Zhang X, Gao Y, Peng Y, Liu P, Chen Y, Guo C, Deng G, Ouyang Y, Zhang Y, Han Y, Cai C, Shen H, Gao L, Zeng S. Neuromedin U receptor 1 deletion leads to impaired immunotherapy response and high malignancy in colorectal cancer. iScience 2024; 27:110318. [PMID: 39055918 PMCID: PMC11269305 DOI: 10.1016/j.isci.2024.110318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 04/27/2024] [Accepted: 06/18/2024] [Indexed: 07/28/2024] Open
Abstract
Colorectal cancer (CRC) exhibits significant heterogeneity, impacting immunotherapy efficacy, particularly in immune desert subtypes. Neuromedin U receptor 1 (NMUR1) has been reported to perform a vital function in immunity and inflammation. Through comprehensive multi-omics analyses, we have systematically characterized NMUR1 across various tumors, assessing expression patterns, genetic alterations, prognostic significance, immune infiltration, and pathway associations at both the bulk sequencing and single-cell scales. Our findings demonstrate a positive correlation between NMUR1 and CD8+ T cell infiltration, with elevated NMUR1 levels in CD8+ T cells linked to improved immunotherapy outcomes in patients with CRC. Further, we have validated the NMUR1 expression signature in CRC cell lines and patient-derived tissues, revealing its interaction with key immune checkpoints, including lymphocyte activation gene 3 and cytotoxic T-lymphocyte-associated protein 4. Additionally, NMUR1 suppression enhances CRC cell proliferation and invasiveness. Our integrated analyses and experiments open new avenues for personalized immunotherapy strategies in CRC treatment.
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Affiliation(s)
- Yulai Zhou
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Department of Microbiology, Immunology & Molecular Genetics, University of Texas Long School of Medicine, UT Health Science Center, San Antonio, TX 78229, USA
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Xiangyang Zhang
- Department of Oncology, 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
| | - Yan Gao
- Department of Oncology, 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
| | - Yinghui Peng
- Department of Oncology, 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
| | - Ping Liu
- Department of Oncology, 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
| | - Yihong Chen
- Department of Oncology, 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
| | - Cao Guo
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Gongping Deng
- Department of Emergency, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570311, China
| | - Yanhong Ouyang
- Department of Emergency, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570311, China
| | - Yan Zhang
- Department of Oncology, Yueyang People’s Hospital, Yueyang Hospital Affiliated to Hunan Normal University, Yueyang, Hunan 414000, China
| | - Ying Han
- Department of Oncology, 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
| | - Changjing Cai
- Department of Oncology, 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
| | - Hong Shen
- Department of Oncology, 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
| | - Le Gao
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Shan Zeng
- Department of Oncology, 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
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18
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Tooley K, Jerby L, Escobar G, Krovi SH, Mangani D, Dandekar G, Cheng H, Madi A, Goldschmidt E, Lambden C, Krishnan RK, Rozenblatt-Rosen O, Regev A, Anderson AC. Pan-cancer mapping of single CD8 + T cell profiles reveals a TCF1:CXCR6 axis regulating CD28 co-stimulation and anti-tumor immunity. Cell Rep Med 2024; 5:101640. [PMID: 38959885 PMCID: PMC11293343 DOI: 10.1016/j.xcrm.2024.101640] [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: 05/31/2023] [Revised: 01/05/2024] [Accepted: 06/11/2024] [Indexed: 07/05/2024]
Abstract
CD8+ T cells must persist and function in diverse tumor microenvironments to exert their effects. Thus, understanding common underlying expression programs could better inform the next generation of immunotherapies. We apply a generalizable matrix factorization algorithm that recovers both shared and context-specific expression programs from diverse datasets to a single-cell RNA sequencing (scRNA-seq) compendium of 33,161 CD8+ T cells from 132 patients with seven human cancers. Our meta-single-cell analyses uncover a pan-cancer T cell dysfunction program that predicts clinical non-response to checkpoint blockade in melanoma and highlights CXCR6 as a pan-cancer marker of chronically activated T cells. Cxcr6 is trans-activated by AP-1 and repressed by TCF1. Using mouse models, we show that Cxcr6 deletion in CD8+ T cells increases apoptosis of PD1+TIM3+ cells, dampens CD28 signaling, and compromises tumor growth control. Our study uncovers a TCF1:CXCR6 axis that counterbalances PD1-mediated suppression of CD8+ cell responses and is essential for effective anti-tumor immunity.
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Affiliation(s)
- Katherine Tooley
- The Gene Lay Institute of Immunology and Inflammation of Brigham and Women's Hospital, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA; Division of Medical Sciences, Harvard Medical School, Boston, MA, USA; Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Livnat Jerby
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Giulia Escobar
- The Gene Lay Institute of Immunology and Inflammation of Brigham and Women's Hospital, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA; Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - S Harsha Krovi
- The Gene Lay Institute of Immunology and Inflammation of Brigham and Women's Hospital, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA; Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Davide Mangani
- The Gene Lay Institute of Immunology and Inflammation of Brigham and Women's Hospital, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA; Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Gitanjali Dandekar
- The Gene Lay Institute of Immunology and Inflammation of Brigham and Women's Hospital, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA; Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Hanning Cheng
- The Gene Lay Institute of Immunology and Inflammation of Brigham and Women's Hospital, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA; Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Asaf Madi
- Department of Pathology, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ella Goldschmidt
- Department of Pathology, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Conner Lambden
- The Gene Lay Institute of Immunology and Inflammation of Brigham and Women's Hospital, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA; Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Rajesh K Krishnan
- The Gene Lay Institute of Immunology and Inflammation of Brigham and Women's Hospital, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA; Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Howard Hughes Medical Institute and Koch Institute of Integrative Cancer Research, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Ana C Anderson
- The Gene Lay Institute of Immunology and Inflammation of Brigham and Women's Hospital, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA; Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
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19
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Zhao Q, Shao H, Zhang T. Single-cell RNA sequencing in ovarian cancer: revealing new perspectives in the tumor microenvironment. Am J Transl Res 2024; 16:3338-3354. [PMID: 39114691 PMCID: PMC11301471 DOI: 10.62347/smsg9047] [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: 03/25/2024] [Accepted: 06/30/2024] [Indexed: 08/10/2024]
Abstract
Single-cell sequencing technology has emerged as a pivotal tool for unraveling the complexities of the ovarian tumor microenvironment (TME), which is characterized by its cellular heterogeneity and intricate cell-to-cell interactions. Ovarian cancer (OC), known for its high lethality among gynecologic malignancies, presents significant challenges in treatment and diagnosis, partly due to the complexity of its TME. The application of single-cell sequencing in ovarian cancer research has enabled the detailed characterization of gene expression profiles at the single-cell level, shedding light on the diverse cell populations within the TME, including cancer cells, stromal cells, and immune cells. This high-resolution mapping has been instrumental in understanding the roles of these cells in tumor progression, invasion, metastasis, and drug resistance. By providing insight into the signaling pathways and cell-to-cell communication mechanisms, single-cell sequencing facilitates the identification of novel therapeutic targets and the development of personalized medicine approaches. This review summarizes the advancement and application of single-cell sequencing in studying the stromal components and the broader TME in OC, highlighting its implications for improving diagnosis, treatment strategies, and understanding of the disease's underlying biology.
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Affiliation(s)
- Qiannan Zhao
- Department of Clinical Laboratory, Yantaishan HospitalYantai 264003, Shandong, P. R. China
| | - Huaming Shao
- Department of Medical Laboratory, Qingdao West Coast Second HospitalQingdao 266500, Shandong, P. R. China
| | - Tianmei Zhang
- Department of Gynecology, Yantaishan HospitalYantai 264003, Shandong, P. R. China
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20
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Yang C, Liu Y, Lv C, Xu M, Xu K, Shi J, Tan T, Zhou W, Lv D, Li Y, Xu J, Shao T. CanCellVar: A database for single-cell variants map in human cancer. Am J Hum Genet 2024; 111:1420-1430. [PMID: 38838674 PMCID: PMC11267512 DOI: 10.1016/j.ajhg.2024.05.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 05/15/2024] [Accepted: 05/15/2024] [Indexed: 06/07/2024] Open
Abstract
Numerous variants, including both single-nucleotide variants (SNVs) in DNA and A>G RNA edits in mRNA as essential drivers of cellular proliferation and tumorigenesis, are commonly associated with cancer progression and growth. Thus, mining and summarizing single-cell variants will provide a refined and higher-resolution view of cancer and further contribute to precision medicine. Here, we established a database, CanCellVar, which aims to provide and visualize the comprehensive atlas of single-cell variants in tumor microenvironment. The current CanCellVar identified ∼3 million variants (∼1.4 million SNVs and ∼1.4 million A>G RNA edits) involved in 2,754,531 cells of 5 major cell types across 37 cancer types. CanCellVar provides the basic annotation information as well as cellular and molecular function properties of variants. In addition, the clinical relevance of variants can be obtained including tumor grade, treatment, metastasis, and others. Several flexible tools were also developed to aid retrieval and to analyze cell-cell interactions, gene expression, cell-development trajectories, regulation, and molecular structure affected by variants. Collectively, CanCellVar will serve as a valuable resource for investigating the functions and characteristics of single-cell variations and their roles in human tumor evolution and treatment.
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Affiliation(s)
- Changbo Yang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Yujie Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Chongwen Lv
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Mengjia Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Kang Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Jingyi Shi
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Tingting Tan
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Weiwei Zhou
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Dezhong Lv
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China
| | - Yongsheng Li
- School of Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin, Heilongjiang Province 150081, China
| | - Juan Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China.
| | - Tingting Shao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150001, China.
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21
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Thijssen VLJL. Vascular galectins in tumor angiogenesis and cancer immunity. Semin Immunopathol 2024; 46:3. [PMID: 38990363 PMCID: PMC11239785 DOI: 10.1007/s00281-024-01014-9] [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: 01/02/2024] [Accepted: 03/13/2024] [Indexed: 07/12/2024]
Abstract
Sustained tumor angiogenesis, i.e., the induction and maintenance of blood vessel growth by tumor cells, is one of the hallmarks of cancer. The vascularization of malignant tissues not only facilitates tumor growth and metastasis, but also contributes to immune evasion. Important players in all these processes are the endothelial cells which line the luminal side of blood vessel. In the tumor vasculature, these cells are actively involved in angiogenesis as well in the hampered recruitment of immune cells. This is the result of the abnormal tumor microenvironment which triggers both angiostimulatory and immune inhibitory gene expression profiles in endothelial cells. In recent years, it has become evident that galectins constitute a protein family that is expressed in the tumor endothelium. Moreover, several members of this glycan-binding protein family have been found to facilitate tumor angiogenesis and stimulate immune suppression. All this has identified galectins as potential therapeutic targets to simultaneously hamper tumor angiogenesis and alleviate immune suppression. The current review provides a brief introduction in the human galectin protein family. The current knowledge regarding the expression and regulation of galectins in endothelial cells is summarized. Furthermore, an overview of the role that endothelial galectins play in tumor angiogenesis and tumor immunomodulation is provided. Finally, some outstanding questions are discussed that should be addressed by future research efforts. This will help to fully understand the contribution of endothelial galectins to tumor progression and to exploit endothelial galectins for cancer therapy.
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Affiliation(s)
- Victor L J L Thijssen
- Radiation Oncology, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands.
- Center for Experimental and Molecular Medicine, Laboratory for Experimental Oncology and Radiobiology, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands.
- Cancer Center Amsterdam, Cancer Biology & Immunology, Amsterdam, The Netherlands.
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22
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Yuan Z, Zhang Y, Wang X, Wang X, Ren S, He X, Su J, Zheng A, Guo S, Chen Y, Deng S, Wu X, Li M, Du F, Zhao Y, Shen J, Wang Z, Xiao Z. The investigation of oncolytic viruses in the field of cancer therapy. Front Oncol 2024; 14:1423143. [PMID: 39055561 PMCID: PMC11270537 DOI: 10.3389/fonc.2024.1423143] [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: 04/25/2024] [Accepted: 06/26/2024] [Indexed: 07/27/2024] Open
Abstract
Oncolytic viruses (OVs) have emerged as a potential strategy for tumor treatment due to their ability to selectively replicate in tumor cells, induce apoptosis, and stimulate immune responses. However, the therapeutic efficacy of single OVs is limited by the complexity and immunosuppressive nature of the tumor microenvironment (TME). To overcome these challenges, engineering OVs has become an important research direction. This review focuses on engineering methods and multi-modal combination therapies for OVs aimed at addressing delivery barriers, viral phagocytosis, and antiviral immunity in tumor therapy. The engineering approaches discussed include enhancing in vivo immune response, improving replication efficiency within the tumor cells, enhancing safety profiles, and improving targeting capabilities. In addition, this review describes the potential mechanisms of OVs combined with radiotherapy, chemotherapy, cell therapy and immune checkpoint inhibitors (ICIs), and summarizes the data of ongoing clinical trials. By continuously optimizing engineering strategies and combination therapy programs, we can achieve improved treatment outcomes and quality of life for cancer patients.
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Affiliation(s)
- Zijun Yuan
- Gulin Traditional Chinese Medicine Hospital, Luzhou, China
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Yinping Zhang
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Xiang Wang
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Xingyue Wang
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Siqi Ren
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Xinyu He
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Jiahong Su
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Anfu Zheng
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
| | - Sipeng Guo
- Research And Experiment Center, Sichuan College of Traditional Chinese Medicine, Mianyang, China
| | - Yu Chen
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, China
- South Sichuan Institute of Translational Medicine, Luzhou, China
| | - Shuai Deng
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, China
- South Sichuan Institute of Translational Medicine, Luzhou, China
| | - Xu Wu
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, China
- South Sichuan Institute of Translational Medicine, Luzhou, China
| | - Mingxing Li
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, China
- South Sichuan Institute of Translational Medicine, Luzhou, China
| | - Fukuan Du
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, China
- South Sichuan Institute of Translational Medicine, Luzhou, China
| | - Yueshui Zhao
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, China
- South Sichuan Institute of Translational Medicine, Luzhou, China
| | - Jing Shen
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, China
- South Sichuan Institute of Translational Medicine, Luzhou, China
| | - Zechen Wang
- Gulin Traditional Chinese Medicine Hospital, Luzhou, China
| | - Zhangang Xiao
- Gulin Traditional Chinese Medicine Hospital, Luzhou, China
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China
- Cell Therapy & Cell Drugs of Luzhou Key Laboratory, Luzhou, China
- South Sichuan Institute of Translational Medicine, Luzhou, China
- Department of Pharmacology, School of Pharmacy, Sichuan College of Traditional Chinese Medicine, Mianyang, China
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23
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Guimarães GR, Maklouf GR, Teixeira CE, de Oliveira Santos L, Tessarollo NG, de Toledo NE, Serain AF, de Lanna CA, Pretti MA, da Cruz JGV, Falchetti M, Dimas MM, Filgueiras IS, Cabral-Marques O, Ramos RN, de Macedo FC, Rodrigues FR, Bastos NC, da Silva JL, Lummertz da Rocha E, Chaves CBP, de Melo AC, Moraes-Vieira PMM, Mori MA, Boroni M. Single-cell resolution characterization of myeloid-derived cell states with implication in cancer outcome. Nat Commun 2024; 15:5694. [PMID: 38972873 PMCID: PMC11228020 DOI: 10.1038/s41467-024-49916-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 06/19/2024] [Indexed: 07/09/2024] Open
Abstract
Tumor-associated myeloid-derived cells (MDCs) significantly impact cancer prognosis and treatment responses due to their remarkable plasticity and tumorigenic behaviors. Here, we integrate single-cell RNA-sequencing data from different cancer types, identifying 29 MDC subpopulations within the tumor microenvironment. Our analysis reveals abnormally expanded MDC subpopulations across various tumors and distinguishes cell states that have often been grouped together, such as TREM2+ and FOLR2+ subpopulations. Using deconvolution approaches, we identify five subpopulations as independent prognostic markers, including states co-expressing TREM2 and PD-1, and FOLR2 and PDL-2. Additionally, TREM2 alone does not reliably predict cancer prognosis, as other TREM2+ macrophages show varied associations with prognosis depending on local cues. Validation in independent cohorts confirms that FOLR2-expressing macrophages correlate with poor clinical outcomes in ovarian and triple-negative breast cancers. This comprehensive MDC atlas offers valuable insights and a foundation for futher analyses, advancing strategies for treating solid cancers.
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Affiliation(s)
- Gabriela Rapozo Guimarães
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Giovanna Resk Maklouf
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Cristiane Esteves Teixeira
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Leandro de Oliveira Santos
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Nayara Gusmão Tessarollo
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Nayara Evelin de Toledo
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Alessandra Freitas Serain
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Cristóvão Antunes de Lanna
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Marco Antônio Pretti
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Jéssica Gonçalves Vieira da Cruz
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Marcelo Falchetti
- Department of Microbiology, Immunology, and Parasitology, Federal University of Santa Catarina, Florianópolis, SC, Brazil
| | - Mylla M Dimas
- Department of Microbiology, Immunology, and Parasitology, Federal University of Santa Catarina, Florianópolis, SC, Brazil
| | - Igor Salerno Filgueiras
- Department of Immunology, Institute of Biomedical Sciences, University of São Paulo,(USP), São Paulo, Brazil
| | - Otavio Cabral-Marques
- Department of Immunology, Institute of Biomedical Sciences, University of São Paulo,(USP), São Paulo, Brazil
- Instituto D'Or de Ensino e Pesquisa, São Paulo, Brazil
- Department of Medicine, Division of Molecular Medicine, Laboratory of Medical Investigation 29, School of Medicine, University of São Paulo (USP), São Paulo, Brazil
| | - Rodrigo Nalio Ramos
- Department of Immunology, Institute of Biomedical Sciences, University of São Paulo,(USP), São Paulo, Brazil
- Instituto D'Or de Ensino e Pesquisa, São Paulo, Brazil
- Laboratory of Medical Investigation in Pathogenesis and Directed Therapy in Onco-Immuno-Hematology (LIM-31), Departament of Hematology and Cell Therapy, Hospital das Clínicas HCFMUSP, School of Medicine, University of São Paulo (USP), São Paulo, Brazil
| | | | | | - Nina Carrossini Bastos
- Division of Pathology, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Jesse Lopes da Silva
- Division of Clinical Research and Technological Development, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Edroaldo Lummertz da Rocha
- Department of Microbiology, Immunology, and Parasitology, Federal University of Santa Catarina, Florianópolis, SC, Brazil
| | - Cláudia Bessa Pereira Chaves
- Division of Clinical Research and Technological Development, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
- Gynecologic Oncology Section, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Andreia Cristina de Melo
- Division of Clinical Research and Technological Development, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Pedro M M Moraes-Vieira
- Laboratory of Immunometabolism, Department of Genetics, Evolution, Microbiology, and Immunology, Institute of Biology, Universidade Estadual de Campinas, Campinas, SP, Brazil
- Obesity and Comorbidities Research Center (OCRC), Universidade Estadual de Campinas, Campinas, SP, Brazil
- Experimental Medicine Research Cluster (EMRC), Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - Marcelo A Mori
- Obesity and Comorbidities Research Center (OCRC), Universidade Estadual de Campinas, Campinas, SP, Brazil
- Experimental Medicine Research Cluster (EMRC), Universidade Estadual de Campinas, Campinas, SP, Brazil
- Laboratory of Aging Biology, Department of Biochemistry and Tissue Biology, Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - Mariana Boroni
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil.
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24
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Coulton A, Murai J, Qian D, Thakkar K, Lewis CE, Litchfield K. Using a pan-cancer atlas to investigate tumour associated macrophages as regulators of immunotherapy response. Nat Commun 2024; 15:5665. [PMID: 38969631 PMCID: PMC11226649 DOI: 10.1038/s41467-024-49885-8] [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: 02/27/2023] [Accepted: 06/24/2024] [Indexed: 07/07/2024] Open
Abstract
The paradigm for macrophage characterization has evolved from the simple M1/M2 dichotomy to a more complex model that encompasses the broad spectrum of macrophage phenotypic diversity, due to differences in ontogeny and/or local stimuli. We currently lack an in-depth pan-cancer single cell RNA-seq (scRNAseq) atlas of tumour-associated macrophages (TAMs) that fully captures this complexity. In addition, an increased understanding of macrophage diversity could help to explain the variable responses of cancer patients to immunotherapy. Our atlas includes well established macrophage subsets as well as a number of additional ones. We associate macrophage composition with tumour phenotype and show macrophage subsets can vary between primary and metastatic tumours growing in sites like the liver. We also examine macrophage-T cell functional cross talk and identify two subsets of TAMs associated with T cell activation. Analysis of TAM signatures in a large cohort of immune checkpoint inhibitor-treated patients (CPI1000 + ) identify multiple TAM subsets associated with response, including the presence of a subset of TAMs that upregulate collagen-related genes. Finally, we demonstrate the utility of our data as a resource and reference atlas for mapping of novel macrophage datasets using projection. Overall, these advances represent an important step in both macrophage classification and overcoming resistance to immunotherapies in cancer.
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Affiliation(s)
- Alexander Coulton
- The Tumour Immunogenomics and Immunosurveillance (TIGI) Lab, UCL Cancer Institute, London, WC1E 6DD, UK
| | - Jun Murai
- The Tumour Immunogenomics and Immunosurveillance (TIGI) Lab, UCL Cancer Institute, London, WC1E 6DD, UK
| | - Danwen Qian
- The Tumour Immunogenomics and Immunosurveillance (TIGI) Lab, UCL Cancer Institute, London, WC1E 6DD, UK
| | - Krupa Thakkar
- The Tumour Immunogenomics and Immunosurveillance (TIGI) Lab, UCL Cancer Institute, London, WC1E 6DD, UK
| | - Claire E Lewis
- Department of Oncology and Metabolism, University of Sheffield Medical School, Beech Hill Road, Sheffield, Yorkshire, S10 2RX, UK.
| | - Kevin Litchfield
- The Tumour Immunogenomics and Immunosurveillance (TIGI) Lab, UCL Cancer Institute, London, WC1E 6DD, UK.
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25
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Luo Y, Xia Y, Liu D, Li X, Li H, Liu J, Zhou D, Dong Y, Li X, Qian Y, Xu C, Tao K, Li G, Pan W, Zhong Q, Liu X, Xu S, Wang Z, Liu R, Zhang W, Shan W, Fang T, Wang S, Peng Z, Jin P, Jin N, Shi S, Chen Y, Wang M, Jiao X, Luo M, Gong W, Wang Y, Yao Y, Zhao Y, Huang X, Ji X, He Z, Zhao G, Liu R, Wu M, Chen G, Hong L, Ma D, Fang Y, Liang H, Gao Q. Neoadjuvant PARPi or chemotherapy in ovarian cancer informs targeting effector Treg cells for homologous-recombination-deficient tumors. Cell 2024:S0092-8674(24)00653-6. [PMID: 38971151 DOI: 10.1016/j.cell.2024.06.013] [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: 01/18/2023] [Revised: 02/12/2024] [Accepted: 06/10/2024] [Indexed: 07/08/2024]
Abstract
Homologous recombination deficiency (HRD) is prevalent in cancer, sensitizing tumor cells to poly (ADP-ribose) polymerase (PARP) inhibition. However, the impact of HRD and related therapies on the tumor microenvironment (TME) remains elusive. Our study generates single-cell gene expression and T cell receptor profiles, along with validatory multimodal datasets from >100 high-grade serous ovarian cancer (HGSOC) samples, primarily from a phase II clinical trial (NCT04507841). Neoadjuvant monotherapy with the PARP inhibitor (PARPi) niraparib achieves impressive 62.5% and 73.6% response rates per RECIST v.1.1 and GCIG CA125, respectively. We identify effector regulatory T cells (eTregs) as key responders to HRD and neoadjuvant therapies, co-occurring with other tumor-reactive T cells, particularly terminally exhausted CD8+ T cells (Tex). TME-wide interferon signaling correlates with cancer cells upregulating MHC class II and co-inhibitory ligands, potentially driving Treg and Tex fates. Depleting eTregs in HRD mouse models, with or without PARP inhibition, significantly suppresses tumor growth without observable toxicities, underscoring the potential of eTreg-focused therapeutics for HGSOC and other HRD-related tumors.
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Affiliation(s)
- Yikai Luo
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yu Xia
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Dan Liu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xiong Li
- Department of Gynecology & Obstetrics, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430014, China
| | - Huayi Li
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jiahao Liu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Dongchen Zhou
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yu Dong
- Precision Scientific (Beijing) Co., Ltd., Beijing 100085, China
| | - Xin Li
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yiyu Qian
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Cheng Xu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Kangjia Tao
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Guannan Li
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wen Pan
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Qing Zhong
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xingzhe Liu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Sen Xu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zhi Wang
- Department of Gynecology & Obstetrics, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430014, China
| | - Ronghua Liu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wei Zhang
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wanying Shan
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Tian Fang
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Siyuan Wang
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zikun Peng
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ping Jin
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ning Jin
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Shennan Shi
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yuxin Chen
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Mengjie Wang
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xiaofei Jiao
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Mengshi Luo
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wenjian Gong
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ya Wang
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yue Yao
- Precision Scientific (Beijing) Co., Ltd., Beijing 100085, China
| | - Yi Zhao
- Precision Scientific (Beijing) Co., Ltd., Beijing 100085, China
| | - Xinlin Huang
- Precision Scientific (Beijing) Co., Ltd., Beijing 100085, China
| | - Xuwo Ji
- Precision Scientific (Beijing) Co., Ltd., Beijing 100085, China
| | - Zhaoren He
- BioMap (Beijing) Intelligence Technology Limited, Beijing 100089, China
| | - Guangnian Zhao
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Rong Liu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Mingfu Wu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Gang Chen
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Li Hong
- Department of Gynecology and Obstetrics, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Ding Ma
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Yong Fang
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Han Liang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Qinglei Gao
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
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26
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Nicolas E, Kosmider B, Cukierman E, Borghaei H, Golemis EA, Borriello L. Cancer treatments as paradoxical catalysts of tumor awakening in the lung. Cancer Metastasis Rev 2024:10.1007/s10555-024-10196-5. [PMID: 38963567 DOI: 10.1007/s10555-024-10196-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Accepted: 06/12/2024] [Indexed: 07/05/2024]
Abstract
Much of the fatality of tumors is linked to the growth of metastases, which can emerge months to years after apparently successful treatment of primary tumors. Metastases arise from disseminated tumor cells (DTCs), which disperse through the body in a dormant state to seed distant sites. While some DTCs lodge in pre-metastatic niches (PMNs) and rapidly develop into metastases, other DTCs settle in distinct microenvironments that maintain them in a dormant state. Subsequent awakening, induced by changes in the microenvironment of the DTC, causes outgrowth of metastases. Hence, there has been extensive investigation of the factors causing survival and subsequent awakening of DTCs, with the goal of disrupting these processes to decrease cancer lethality. We here provide a detailed overview of recent developments in understanding of the factors controlling dormancy and awakening in the lung, a common site of metastasis for many solid tumors. These factors include dynamic interactions between DTCs and diverse epithelial, mesenchymal, and immune cell populations resident in the lung. Paradoxically, among key triggers for metastatic outgrowth, lung tissue remodeling arising from damage induced by the treatment of primary tumors play a significant role. In addition, growing evidence emphasizes roles for inflammation and aging in opposing the factors that maintain dormancy. Finally, we discuss strategies being developed or employed to reduce the risk of metastatic recurrence.
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Affiliation(s)
- Emmanuelle Nicolas
- Cancer Signaling and Microenvironment Program, Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, PA, 19111, USA
| | - Beata Kosmider
- Center for Inflammation and Lung Research, Lewis Katz School of Medicine, Temple University, 3500 N Broad St., Philadelphia, PA, 19140, USA
- Department of Microbiology, Immunology, and Inflammation, Lewis Katz School of Medicine, Temple University, 3500 N Broad St., Philadelphia, PA, 19140, USA
| | - Edna Cukierman
- Cancer Signaling and Microenvironment Program, Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, PA, 19111, USA
| | - Hossein Borghaei
- Cancer Signaling and Microenvironment Program, Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, PA, 19111, USA
| | - Erica A Golemis
- Cancer Signaling and Microenvironment Program, Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, PA, 19111, USA
- Department of Cancer and Cellular Biology, Lewis Katz School of Medicine, Temple University, 3500 N Broad St., Philadelphia, PA, 19140, USA
| | - Lucia Borriello
- Cancer Signaling and Microenvironment Program, Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, PA, 19111, USA.
- Department of Cancer and Cellular Biology, Lewis Katz School of Medicine, Temple University, 3500 N Broad St., Philadelphia, PA, 19140, USA.
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27
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Hodgins JJ, Abou-Hamad J, O’Dwyer CE, Hagerman A, Yakubovich E, Tanese de Souza C, Marotel M, Buchler A, Fadel S, Park MM, Fong-McMaster C, Crupi MF, Makinson OJ, Kurdieh R, Rezaei R, Dhillon HS, Ilkow CS, Bell JC, Harper ME, Rotstein BH, Auer RC, Vanderhyden BC, Sabourin LA, Bourgeois-Daigneault MC, Cook DP, Ardolino M. PD-L1 promotes oncolytic virus infection via a metabolic shift that inhibits the type I IFN pathway. J Exp Med 2024; 221:e20221721. [PMID: 38869480 PMCID: PMC11176258 DOI: 10.1084/jem.20221721] [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: 10/11/2022] [Revised: 02/04/2024] [Accepted: 03/14/2024] [Indexed: 06/14/2024] Open
Abstract
While conventional wisdom initially postulated that PD-L1 serves as the inert ligand for PD-1, an emerging body of literature suggests that PD-L1 has cell-intrinsic functions in immune and cancer cells. In line with these studies, here we show that engagement of PD-L1 via cellular ligands or agonistic antibodies, including those used in the clinic, potently inhibits the type I interferon pathway in cancer cells. Hampered type I interferon responses in PD-L1-expressing cancer cells resulted in enhanced efficacy of oncolytic viruses in vitro and in vivo. Consistently, PD-L1 expression marked tumor explants from cancer patients that were best infected by oncolytic viruses. Mechanistically, PD-L1 promoted a metabolic shift characterized by enhanced glycolysis rate that resulted in increased lactate production. In turn, lactate inhibited type I IFN responses. In addition to adding mechanistic insight into PD-L1 intrinsic function, our results will also help guide the numerous ongoing efforts to combine PD-L1 antibodies with oncolytic virotherapy in clinical trials.
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Affiliation(s)
- Jonathan J. Hodgins
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Department of Biochemistry, Microbiology, and Immunology, University of Ottawa, Ottawa, Canada
- Center for Infection, Immunity, and Inflammation, University of Ottawa, Ottawa, Canada
| | - John Abou-Hamad
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Canada
| | - Colin Edward O’Dwyer
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Department of Biochemistry, Microbiology, and Immunology, University of Ottawa, Ottawa, Canada
- Center for Infection, Immunity, and Inflammation, University of Ottawa, Ottawa, Canada
| | - Ash Hagerman
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Center for Infection, Immunity, and Inflammation, University of Ottawa, Ottawa, Canada
| | - Edward Yakubovich
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Canada
| | | | - Marie Marotel
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Center for Infection, Immunity, and Inflammation, University of Ottawa, Ottawa, Canada
| | - Ariel Buchler
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, Canada
- University of Ottawa Heart Institute, Ottawa, Canada
| | - Saleh Fadel
- The Ottawa Hospital, Ottawa, Canada
- Department of Pathology and Laboratory Medicine, The Ottawa Hospital, Ottawa, Canada
| | - Maria M. Park
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Center for Infection, Immunity, and Inflammation, University of Ottawa, Ottawa, Canada
| | - Claire Fong-McMaster
- Department of Biochemistry, Microbiology, and Immunology, University of Ottawa, Ottawa, Canada
- Ottawa Institute for Systems Biology, Ottawa, Canada
| | - Mathieu F. Crupi
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Olivia Joan Makinson
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Department of Biochemistry, Microbiology, and Immunology, University of Ottawa, Ottawa, Canada
- Center for Infection, Immunity, and Inflammation, University of Ottawa, Ottawa, Canada
| | - Reem Kurdieh
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Reza Rezaei
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Department of Biochemistry, Microbiology, and Immunology, University of Ottawa, Ottawa, Canada
- Center for Infection, Immunity, and Inflammation, University of Ottawa, Ottawa, Canada
| | - Harkirat Singh Dhillon
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Department of Biochemistry, Microbiology, and Immunology, University of Ottawa, Ottawa, Canada
- Center for Infection, Immunity, and Inflammation, University of Ottawa, Ottawa, Canada
| | - Carolina S. Ilkow
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Department of Biochemistry, Microbiology, and Immunology, University of Ottawa, Ottawa, Canada
- Center for Infection, Immunity, and Inflammation, University of Ottawa, Ottawa, Canada
| | - John C. Bell
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Department of Biochemistry, Microbiology, and Immunology, University of Ottawa, Ottawa, Canada
| | - Mary-Ellen Harper
- Department of Biochemistry, Microbiology, and Immunology, University of Ottawa, Ottawa, Canada
- Center for Infection, Immunity, and Inflammation, University of Ottawa, Ottawa, Canada
- Ottawa Institute for Systems Biology, Ottawa, Canada
| | - Benjamin H. Rotstein
- Department of Biochemistry, Microbiology, and Immunology, University of Ottawa, Ottawa, Canada
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, Canada
- University of Ottawa Heart Institute, Ottawa, Canada
| | - Rebecca C. Auer
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Department of Biochemistry, Microbiology, and Immunology, University of Ottawa, Ottawa, Canada
| | - Barbara C. Vanderhyden
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Center for Infection, Immunity, and Inflammation, University of Ottawa, Ottawa, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Canada
| | - Luc A. Sabourin
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Canada
| | - Marie-Claude Bourgeois-Daigneault
- Department of Microbiology, Infectious Diseases, and Immunology, University of Montreal, Montreal, Canada
- Centre Hospitalier de l’Université de Montréal Research Centre, Cancer and Immunopathology axes, Montreal, Canada
| | - David P. Cook
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Canada
| | - Michele Ardolino
- Cancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Department of Biochemistry, Microbiology, and Immunology, University of Ottawa, Ottawa, Canada
- Center for Infection, Immunity, and Inflammation, University of Ottawa, Ottawa, Canada
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28
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Choi JE, Qiao Y, Kryczek I, Yu J, Gurkan J, Bao Y, Gondal M, Tien JCY, Maj T, Yazdani S, Parolia A, Xia H, Zhou J, Wei S, Grove S, Vatan L, Lin H, Li G, Zheng Y, Zhang Y, Cao X, Su F, Wang R, He T, Cieslik M, Green MD, Zou W, Chinnaiyan AM. PIKfyve controls dendritic cell function and tumor immunity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.28.582543. [PMID: 38464258 PMCID: PMC10925294 DOI: 10.1101/2024.02.28.582543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
The modern armamentarium for cancer treatment includes immunotherapy and targeted therapy, such as protein kinase inhibitors. However, the mechanisms that allow cancer-targeting drugs to effectively mobilize dendritic cells (DCs) and affect immunotherapy are poorly understood. Here, we report that among shared gene targets of clinically relevant protein kinase inhibitors, high PIKFYVE expression was least predictive of complete response in patients who received immune checkpoint blockade (ICB). In immune cells, high PIKFYVE expression in DCs was associated with worse response to ICB. Genetic and pharmacological studies demonstrated that PIKfyve ablation enhanced DC function via selectively altering the alternate/non-canonical NF-κB pathway. Both loss of Pikfyve in DCs and treatment with apilimod, a potent and specific PIKfyve inhibitor, restrained tumor growth, enhanced DC-dependent T cell immunity, and potentiated ICB efficacy in tumor-bearing mouse models. Furthermore, the combination of a vaccine adjuvant and apilimod reduced tumor progression in vivo. Thus, PIKfyve negatively controls DCs, and PIKfyve inhibition has promise for cancer immunotherapy and vaccine treatment strategies.
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Affiliation(s)
- Jae Eun Choi
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Yuanyuan Qiao
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Ilona Kryczek
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Jiali Yu
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Jonathan Gurkan
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Yi Bao
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Mahnoor Gondal
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Jean Ching-Yi Tien
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Tomasz Maj
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Sahr Yazdani
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Abhijit Parolia
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Houjun Xia
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - JiaJia Zhou
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Shuang Wei
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Sara Grove
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Linda Vatan
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Heng Lin
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Gaopeng Li
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Yang Zheng
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Yuping Zhang
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Xuhong Cao
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Howard Hughes Medical Institute, University of Michigan, Ann Arbor, MI, USA
| | - Fengyun Su
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Rui Wang
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Tongchen He
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Marcin Cieslik
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Michael D. Green
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
- Department of Radiation Oncology Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Weiping Zou
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Arul M. Chinnaiyan
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
- Howard Hughes Medical Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Urology, University of Michigan, Ann Arbor, MI, USA
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29
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Hu M, Chikina M. Heterogeneous pseudobulk simulation enables realistic benchmarking of cell-type deconvolution methods. Genome Biol 2024; 25:169. [PMID: 38956606 PMCID: PMC11218230 DOI: 10.1186/s13059-024-03292-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: 01/20/2023] [Accepted: 05/29/2024] [Indexed: 07/04/2024] Open
Abstract
BACKGROUND Computational cell type deconvolution enables the estimation of cell type abundance from bulk tissues and is important for understanding tissue microenviroment, especially in tumor tissues. With rapid development of deconvolution methods, many benchmarking studies have been published aiming for a comprehensive evaluation for these methods. Benchmarking studies rely on cell-type resolved single-cell RNA-seq data to create simulated pseudobulk datasets by adding individual cells-types in controlled proportions. RESULTS In our work, we show that the standard application of this approach, which uses randomly selected single cells, regardless of the intrinsic difference between them, generates synthetic bulk expression values that lack appropriate biological variance. We demonstrate why and how the current bulk simulation pipeline with random cells is unrealistic and propose a heterogeneous simulation strategy as a solution. The heterogeneously simulated bulk samples match up with the variance observed in real bulk datasets and therefore provide concrete benefits for benchmarking in several ways. We demonstrate that conceptual classes of deconvolution methods differ dramatically in their robustness to heterogeneity with reference-free methods performing particularly poorly. For regression-based methods, the heterogeneous simulation provides an explicit framework to disentangle the contributions of reference construction and regression methods to performance. Finally, we perform an extensive benchmark of diverse methods across eight different datasets and find BayesPrism and a hybrid MuSiC/CIBERSORTx approach to be the top performers. CONCLUSIONS Our heterogeneous bulk simulation method and the entire benchmarking framework is implemented in a user friendly package https://github.com/humengying0907/deconvBenchmarking and https://doi.org/10.5281/zenodo.8206516 , enabling further developments in deconvolution methods.
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Affiliation(s)
- Mengying Hu
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, USA
- Joint Carnegie Mellon - University of Pittsburgh Computational Biology PhD Program, University of Pittsburgh, Pittsburgh, USA
| | - Maria Chikina
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, USA.
- Joint Carnegie Mellon - University of Pittsburgh Computational Biology PhD Program, University of Pittsburgh, Pittsburgh, USA.
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30
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Choi JE, Qiao Y, Kryczek I, Yu J, Gurkan J, Bao Y, Gondal M, Tien JCY, Maj T, Yazdani S, Parolia A, Xia H, Zhou J, Wei S, Grove S, Vatan L, Lin H, Li G, Zheng Y, Zhang Y, Cao X, Su F, Wang R, He T, Cieslik M, Green MD, Zou W, Chinnaiyan AM. PIKfyve, expressed by CD11c-positive cells, controls tumor immunity. Nat Commun 2024; 15:5487. [PMID: 38942798 PMCID: PMC11213953 DOI: 10.1038/s41467-024-48931-9] [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: 08/17/2023] [Accepted: 05/15/2024] [Indexed: 06/30/2024] Open
Abstract
Cancer treatment continues to shift from utilizing traditional therapies to targeted ones, such as protein kinase inhibitors and immunotherapy. Mobilizing dendritic cells (DC) and other myeloid cells with antigen presenting and cancer cell killing capacities is an attractive but not fully exploited approach. Here, we show that PIKFYVE is a shared gene target of clinically relevant protein kinase inhibitors and high expression of this gene in DCs is associated with poor patient response to immune checkpoint blockade (ICB) therapy. Genetic and pharmacological studies demonstrate that PIKfyve ablation enhances the function of CD11c+ cells (predominantly dendritic cells) via selectively altering the non-canonical NF-κB pathway. Both loss of Pikfyve in CD11c+ cells and treatment with apilimod, a potent and specific PIKfyve inhibitor, restrained tumor growth, enhanced DC-dependent T cell immunity, and potentiated ICB efficacy in tumor-bearing mouse models. Furthermore, the combination of a vaccine adjuvant and apilimod reduced tumor progression in vivo. Thus, PIKfyve negatively regulates the function of CD11c+ cells, and PIKfyve inhibition has promise for cancer immunotherapy and vaccine treatment strategies.
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Affiliation(s)
- Jae Eun Choi
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pediatrics, University of California, San Francisco, CA, USA
| | - Yuanyuan Qiao
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Ilona Kryczek
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Jiali Yu
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Jonathan Gurkan
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Yi Bao
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Mahnoor Gondal
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Jean Ching-Yi Tien
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Tomasz Maj
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Sahr Yazdani
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Abhijit Parolia
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Houjun Xia
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - JiaJia Zhou
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Shuang Wei
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Sara Grove
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Linda Vatan
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Heng Lin
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Gaopeng Li
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Yang Zheng
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Yuping Zhang
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Xuhong Cao
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Howard Hughes Medical Institute, University of Michigan, Ann Arbor, MI, USA
| | - Fengyun Su
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Rui Wang
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Tongchen He
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Marcin Cieslik
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Michael D Green
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
- Department of Radiation Oncology Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Weiping Zou
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA.
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA.
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA.
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA.
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA.
| | - Arul M Chinnaiyan
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA.
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA.
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA.
- Howard Hughes Medical Institute, University of Michigan, Ann Arbor, MI, USA.
- Department of Urology, University of Michigan, Ann Arbor, MI, USA.
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31
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Wang L, Izadmehr S, Sfakianos JP, Tran M, Beaumont KG, Brody R, Cordon-Cardo C, Horowitz A, Sebra R, Oh WK, Bhardwaj N, Galsky MD, Zhu J. Single-cell transcriptomic-informed deconvolution of bulk data identifies immune checkpoint blockade resistance in urothelial cancer. iScience 2024; 27:109928. [PMID: 38812546 PMCID: PMC11133924 DOI: 10.1016/j.isci.2024.109928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 11/23/2023] [Accepted: 05/03/2024] [Indexed: 05/31/2024] Open
Abstract
Interactions within the tumor microenvironment (TME) significantly influence tumor progression and treatment responses. While single-cell RNA sequencing (scRNA-seq) and spatial genomics facilitate TME exploration, many clinical cohorts are assessed at the bulk tissue level. Integrating scRNA-seq and bulk tissue RNA-seq data through computational deconvolution is essential for obtaining clinically relevant insights. Our method, ProM, enables the examination of major and minor cell types. Through evaluation against existing methods using paired single-cell and bulk RNA sequencing of human urothelial cancer (UC) samples, ProM demonstrates superiority. Application to UC cohorts treated with immune checkpoint inhibitors reveals pre-treatment cellular features associated with poor outcomes, such as elevated SPP1 expression in macrophage/monocytes (MM). Our deconvolution method and paired single-cell and bulk tissue RNA-seq dataset contribute novel insights into TME heterogeneity and resistance to immune checkpoint blockade.
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Affiliation(s)
- Li Wang
- Department of Precision Medicine, Aitia, Somerville, MA 02143, USA
- Department of Medicine, Division of Hematology Oncology, Icahn School of Medicine at Mount Sinai, Tisch Cancer Institute, New York, NY 10029, USA
| | - Sudeh Izadmehr
- Department of Medicine, Division of Hematology Oncology, Icahn School of Medicine at Mount Sinai, Tisch Cancer Institute, New York, NY 10029, USA
| | - John P. Sfakianos
- Department of Urology; Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Michelle Tran
- Department of Medicine, Division of Hematology Oncology, Icahn School of Medicine at Mount Sinai, Tisch Cancer Institute, New York, NY 10029, USA
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Kristin G. Beaumont
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Rachel Brody
- Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Carlos Cordon-Cardo
- Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Amir Horowitz
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Robert Sebra
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - William K. Oh
- Department of Medicine, Division of Hematology Oncology, Icahn School of Medicine at Mount Sinai, Tisch Cancer Institute, New York, NY 10029, USA
| | - Nina Bhardwaj
- Department of Medicine, Division of Hematology Oncology, Icahn School of Medicine at Mount Sinai, Tisch Cancer Institute, New York, NY 10029, USA
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Matthew D. Galsky
- Department of Medicine, Division of Hematology Oncology, Icahn School of Medicine at Mount Sinai, Tisch Cancer Institute, New York, NY 10029, USA
| | - Jun Zhu
- Department of Medicine, Division of Hematology Oncology, Icahn School of Medicine at Mount Sinai, Tisch Cancer Institute, New York, NY 10029, USA
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32
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Desai P, Takahashi N, Kumar R, Nichols S, Malin J, Hunt A, Schultz C, Cao Y, Tillo D, Nousome D, Chauhan L, Sciuto L, Jordan K, Rajapakse V, Tandon M, Lissa D, Zhang Y, Kumar S, Pongor L, Singh A, Schroder B, Sharma AK, Chang T, Vilimas R, Pinkiert D, Graham C, Butcher D, Warner A, Sebastian R, Mahon M, Baker K, Cheng J, Berger A, Lake R, Abel M, Krishnamurthy M, Chrisafis G, Fitzgerald P, Nirula M, Goyal S, Atkinson D, Bateman NW, Abulez T, Nair G, Apolo A, Guha U, Karim B, El Meskini R, Ohler ZW, Jolly MK, Schaffer A, Ruppin E, Kleiner D, Miettinen M, Brown GT, Hewitt S, Conrads T, Thomas A. Microenvironment shapes small-cell lung cancer neuroendocrine states and presents therapeutic opportunities. Cell Rep Med 2024; 5:101610. [PMID: 38897168 PMCID: PMC11228806 DOI: 10.1016/j.xcrm.2024.101610] [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: 03/02/2023] [Revised: 08/04/2023] [Accepted: 05/17/2024] [Indexed: 06/21/2024]
Abstract
Small-cell lung cancer (SCLC) is the most fatal form of lung cancer. Intratumoral heterogeneity, marked by neuroendocrine (NE) and non-neuroendocrine (non-NE) cell states, defines SCLC, but the cell-extrinsic drivers of SCLC plasticity are poorly understood. To map the landscape of SCLC tumor microenvironment (TME), we apply spatially resolved transcriptomics and quantitative mass spectrometry-based proteomics to metastatic SCLC tumors obtained via rapid autopsy. The phenotype and overall composition of non-malignant cells in the TME exhibit substantial variability, closely mirroring the tumor phenotype, suggesting TME-driven reprogramming of NE cell states. We identify cancer-associated fibroblasts (CAFs) as a crucial element of SCLC TME heterogeneity, contributing to immune exclusion, and predicting exceptionally poor prognosis. Our work provides a comprehensive map of SCLC tumor and TME ecosystems, emphasizing their pivotal role in SCLC's adaptable nature, opening possibilities for reprogramming the TME-tumor communications that shape SCLC tumor states.
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Affiliation(s)
- Parth Desai
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA; Department of Medical Oncology, Fox Chase Cancer Center, Temple University Hospital and Lewis Katz School of Medicine, Philadelphia, PA, USA
| | - Nobuyuki Takahashi
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA; Department of Medical Oncology, National Cancer Center Hospital East, Kashiwa, Japan
| | - Rajesh Kumar
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Samantha Nichols
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Justin Malin
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Allison Hunt
- Women's Health Integrated Research Center, Inova Health System, Falls Church, VA, USA
| | - Christopher Schultz
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yingying Cao
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Desiree Tillo
- CCR Collaborative Bioinformatics, Resource, Office of Science and Technology Resources, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Darryl Nousome
- CCR Collaborative Bioinformatics, Resource, Office of Science and Technology Resources, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lakshya Chauhan
- Center for Biosystems Science and Engineering, Indian Institute of Science, Bangalore, India
| | - Linda Sciuto
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kimberly Jordan
- Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Vinodh Rajapakse
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mayank Tandon
- CCR Collaborative Bioinformatics, Resource, Office of Science and Technology Resources, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Delphine Lissa
- Laboratory of Human Carcinogenesis, Center for Cancer Research National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yang Zhang
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Suresh Kumar
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lorinc Pongor
- HCEMM Cancer Genomics and Epigenetics Research Group, Szeged, Hungary
| | - Abhay Singh
- Center for Biosystems Science and Engineering, Indian Institute of Science, Bangalore, India
| | - Brett Schroder
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ajit Kumar Sharma
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Tiangen Chang
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rasa Vilimas
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Danielle Pinkiert
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Chante Graham
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Donna Butcher
- Molecular Histopathology Laboratory, Laboratory Animal Sciences Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Andrew Warner
- Molecular Histopathology Laboratory, Laboratory Animal Sciences Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Robin Sebastian
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mimi Mahon
- Pain and Palliative care services, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Karen Baker
- Pain and Palliative care services, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Jennifer Cheng
- Pain and Palliative care services, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Ann Berger
- Pain and Palliative care services, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Ross Lake
- Laboratory of Genitourinary cancer Pathogenesis, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Melissa Abel
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Manan Krishnamurthy
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - George Chrisafis
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Peter Fitzgerald
- CCR Collaborative Bioinformatics, Resource, Office of Science and Technology Resources, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Micheal Nirula
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shubhank Goyal
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Devon Atkinson
- Center for Advanced Preclinical Research, Frederick National Laboratory for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Nicholas W Bateman
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD, USA
| | - Tamara Abulez
- The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., Bethesda, MD, USA
| | - Govind Nair
- National Institute of Neurological Disorders and Stroke, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Andrea Apolo
- Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Udayan Guha
- Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Baktiar Karim
- Molecular Histopathology Laboratory, Laboratory Animal Sciences Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Rajaa El Meskini
- Center for Advanced Preclinical Research, Frederick National Laboratory for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Zoe Weaver Ohler
- Center for Advanced Preclinical Research, Frederick National Laboratory for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Mohit Kumar Jolly
- Center for Biosystems Science and Engineering, Indian Institute of Science, Bangalore, India
| | - Alejandro Schaffer
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Eytan Ruppin
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - David Kleiner
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Markku Miettinen
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - G Tom Brown
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephen Hewitt
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Thomas Conrads
- Women's Health Integrated Research Center, Inova Health System, Falls Church, VA, USA
| | - Anish Thomas
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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Jing ZQ, Luo ZQ, Chen SR, Sun ZJ. Heterogeneity of myeloid cells in common cancers: Single cell insights and targeting strategies. Int Immunopharmacol 2024; 134:112253. [PMID: 38735257 DOI: 10.1016/j.intimp.2024.112253] [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: 03/27/2024] [Revised: 05/02/2024] [Accepted: 05/09/2024] [Indexed: 05/14/2024]
Abstract
Tumor microenvironment (TME), is characterized by a complex and heterogenous composition involving a substantial population of immune cells. Myeloid cells comprising over half of the solid tumor mass, are undoubtedly one of the most prominent cell populations associated with tumors. Studies have unambiguously established that myeloid cells play a key role in tumor development, including immune suppression, pro-inflammation, promote tumor metastasis and angiogenesis, for example, tumor-associated macrophages promote tumor progression in a variety of common tumors, including lung cancer, through direct or indirect interactions with the TME. However, due to previous technological constraints, research on myeloid cells often tended to be conducted as studies with low throughput and limited resolution. For example, the conventional categorization of macrophages into M1-like and M2-like subsets based solely on their anti-tumor and pro-tumor roles has disregarded their continuum of states, resulting in an inadequate analysis of the high heterogeneity characterizing myeloid cells. The widespread adoption of single-cell RNA sequencing (scRNA-seq) in tumor immunology has propelled researchers into a new realm of understanding, leading to the establishment of novel subsets and targets. In this review, the origin of myeloid cells in high-incidence cancers, the functions of myeloid cell subsets examined through traditional and single-cell perspectives, as well as specific targeting strategies, are comprehensively outlined. As a result of this endeavor, we will gain a better understanding of myeloid cell heterogeneity, as well as contribute to the development of new therapeutic approaches.
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Affiliation(s)
- Zhi-Qian Jing
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Frontier Science Center for Immunology and Metabolism, Taikang Center for Life and Medical Science, Wuhan University, Wuhan 430079, China
| | - Zhi-Qi Luo
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Frontier Science Center for Immunology and Metabolism, Taikang Center for Life and Medical Science, Wuhan University, Wuhan 430079, China
| | - Si-Rui Chen
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Frontier Science Center for Immunology and Metabolism, Taikang Center for Life and Medical Science, Wuhan University, Wuhan 430079, China
| | - Zhi-Jun Sun
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Frontier Science Center for Immunology and Metabolism, Taikang Center for Life and Medical Science, Wuhan University, Wuhan 430079, China.
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Zhang JP, Yan BZ, Liu J, Wang W. Action of circulating and infiltrating B cells in the immune microenvironment of colorectal cancer by single-cell sequencing analysis. World J Gastrointest Oncol 2024; 16:2671-2684. [DOI: 10.4251/wjgo.v16.i6.2671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/10/2024] [Accepted: 04/09/2024] [Indexed: 06/13/2024] Open
Abstract
BACKGROUND The complexity of the immune microenvironment has an impact on the treatment of colorectal cancer (CRC), one of the most prevalent malignancies worldwide. In this study, multi-omics and single-cell sequencing techniques were used to investigate the mechanism of action of circulating and infiltrating B cells in CRC. By revealing the heterogeneity and functional differences of B cells in cancer immunity, we aim to deepen our understanding of immune regulation and provide a scientific basis for the development of more effective cancer treatment strategies.
AIM To explore the role of circulating and infiltrating B cell subsets in the immune microenvironment of CRC, explore the potential driving mechanism of B cell development, analyze the interaction between B cells and other immune cells in the immune microenvironment and the functions of communication molecules, and search for possible regulatory pathways to promote the anti-tumor effects of B cells.
METHODS A total of 69 paracancer (normal), tumor and peripheral blood samples were collected from 23 patients with CRC from The Cancer Genome Atlas database (https://portal.gdc.cancer.gov/). After the immune cells were sorted by multicolor flow cytometry, the single cell transcriptome and B cell receptor group library were sequenced using the 10X Genomics platform, and the data were analyzed using bioinformatics tools such as Seurat. The differences in the number and function of B cell infiltration between tumor and normal tissue, the interaction between B cell subsets and T cells and myeloid cell subsets, and the transcription factor regulatory network of B cell subsets were explored and analyzed.
RESULTS Compared with normal tissue, the infiltrating number of CD20+B cell subsets in tumor tissue increased significantly. Among them, germinal center B cells (GCB) played the most prominent role, with positive clone expansion and heavy chain mutation level increasing, and the trend of differentiation into memory B cells increased. However, the number of plasma cells in the tumor microenvironment decreased significantly, and the plasma cells secreting IgA antibodies decreased most obviously. In addition, compared with the immune microenvironment of normal tissues, GCB cells in tumor tissues became more closely connected with other immune cells such as T cells, and communication molecules that positively regulate immune function were significantly enriched.
CONCLUSION The role of GCB in CRC tumor microenvironment is greatly enhanced, and its affinity to tumor antigen is enhanced by its significantly increased heavy chain mutation level. Meanwhile, GCB has enhanced its association with immune cells in the microenvironment, which plays a positive anti-tumor effect.
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Affiliation(s)
- Jing-Po Zhang
- Department of Hepatobiliary and Pancreatic Surgery, First Hospital of Hebei Medical University, Shijiazhuang 050032, Hebei Province, China
| | - Bing-Zheng Yan
- Department of Hepatobiliary and Pancreatic Surgery, First Hospital of Hebei Medical University, Shijiazhuang 050032, Hebei Province, China
| | - Jie Liu
- Department of Hepatobiliary Surgery, Hunan Provincial People’s Hospital, Changsha 410002, Hunan Province, China
| | - Wei Wang
- Department of Hepatobiliary and Pancreatic Surgery, First Hospital of Hebei Medical University, Shijiazhuang 050032, Hebei Province, China
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35
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Zhang JP, Yan BZ, Liu J, Wang W. Action of circulating and infiltrating B cells in the immune microenvironment of colorectal cancer by single-cell sequencing analysis. World J Gastrointest Oncol 2024; 16:2683-2696. [PMID: 38994150 PMCID: PMC11236258 DOI: 10.4251/wjgo.v16.i6.2683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/10/2024] [Accepted: 04/09/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND The complexity of the immune microenvironment has an impact on the treatment of colorectal cancer (CRC), one of the most prevalent malignancies worldwide. In this study, multi-omics and single-cell sequencing techniques were used to investigate the mechanism of action of circulating and infiltrating B cells in CRC. By revealing the heterogeneity and functional differences of B cells in cancer immunity, we aim to deepen our understanding of immune regulation and provide a scientific basis for the development of more effective cancer treatment strategies. AIM To explore the role of circulating and infiltrating B cell subsets in the immune microenvironment of CRC, explore the potential driving mechanism of B cell development, analyze the interaction between B cells and other immune cells in the immune microenvironment and the functions of communication molecules, and search for possible regulatory pathways to promote the anti-tumor effects of B cells. METHODS A total of 69 paracancer (normal), tumor and peripheral blood samples were collected from 23 patients with CRC from The Cancer Genome Atlas database (https://portal.gdc.cancer.gov/). After the immune cells were sorted by multicolor flow cytometry, the single cell transcriptome and B cell receptor group library were sequenced using the 10X Genomics platform, and the data were analyzed using bioinformatics tools such as Seurat. The differences in the number and function of B cell infiltration between tumor and normal tissue, the interaction between B cell subsets and T cells and myeloid cell subsets, and the transcription factor regulatory network of B cell subsets were explored and analyzed. RESULTS Compared with normal tissue, the infiltrating number of CD20+B cell subsets in tumor tissue increased significantly. Among them, germinal center B cells (GCB) played the most prominent role, with positive clone expansion and heavy chain mutation level increasing, and the trend of differentiation into memory B cells increased. However, the number of plasma cells in the tumor microenvironment decreased significantly, and the plasma cells secreting IgA antibodies decreased most obviously. In addition, compared with the immune microenvironment of normal tissues, GCB cells in tumor tissues became more closely connected with other immune cells such as T cells, and communication molecules that positively regulate immune function were significantly enriched. CONCLUSION The role of GCB in CRC tumor microenvironment is greatly enhanced, and its affinity to tumor antigen is enhanced by its significantly increased heavy chain mutation level. Meanwhile, GCB has enhanced its association with immune cells in the microenvironment, which plays a positive anti-tumor effect.
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Affiliation(s)
- Jing-Po Zhang
- Department of Hepatobiliary and Pancreatic Surgery, First Hospital of Hebei Medical University, Shijiazhuang 050032, Hebei Province, China
| | - Bing-Zheng Yan
- Department of Hepatobiliary and Pancreatic Surgery, First Hospital of Hebei Medical University, Shijiazhuang 050032, Hebei Province, China
| | - Jie Liu
- Department of Hepatobiliary Surgery, Hunan Provincial People’s Hospital, Changsha 410002, Hunan Province, China
| | - Wei Wang
- Department of Hepatobiliary and Pancreatic Surgery, First Hospital of Hebei Medical University, Shijiazhuang 050032, Hebei Province, China
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Chen ACY, Jaiswal S, Martinez D, Yerinde C, Ji K, Miranda V, Fung ME, Weiss SA, Zschummel M, Taguchi K, Garris CS, Mempel TR, Hacohen N, Sen DR. The aged tumor microenvironment limits T cell control of cancer. Nat Immunol 2024; 25:1033-1045. [PMID: 38745085 DOI: 10.1038/s41590-024-01828-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 03/27/2024] [Indexed: 05/16/2024]
Abstract
The etiology and effect of age-related immune dysfunction in cancer is not completely understood. Here we show that limited priming of CD8+ T cells in the aged tumor microenvironment (TME) outweighs cell-intrinsic defects in limiting tumor control. Increased tumor growth in aging is associated with reduced CD8+ T cell infiltration and function. Transfer of T cells from young mice does not restore tumor control in aged mice owing to rapid induction of T cell dysfunction. Cell-extrinsic signals in the aged TME drive a tumor-infiltrating age-associated dysfunctional (TTAD) cell state that is functionally, transcriptionally and epigenetically distinct from canonical T cell exhaustion. Altered natural killer cell-dendritic cell-CD8+ T cell cross-talk in aged tumors impairs T cell priming by conventional type 1 dendritic cells and promotes TTAD cell formation. Aged mice are thereby unable to benefit from therapeutic tumor vaccination. Critically, myeloid-targeted therapy to reinvigorate conventional type 1 dendritic cells can improve tumor control and restore CD8+ T cell immunity in aging.
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Affiliation(s)
- Alex C Y Chen
- Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Sneha Jaiswal
- Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Carnegie Mellon University, Pittsburgh, PA, USA
| | - Daniela Martinez
- Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Cansu Yerinde
- Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Keely Ji
- Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Velita Miranda
- Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
| | - Megan E Fung
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - Sarah A Weiss
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
| | - Maria Zschummel
- Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Kazuhiro Taguchi
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Christopher S Garris
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
| | - Thorsten R Mempel
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Nir Hacohen
- Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Debattama R Sen
- Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Boston, MA, USA.
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Fan L, Liu J, Hu W, Chen Z, Lan J, Zhang T, Zhang Y, Wu X, Zhong Z, Zhang D, Zhang J, Qin R, Chen H, Zong Y, Zhang J, Chen B, Jiang J, Cheng J, Zhou J, Gao Z, Liu Z, Chai Y, Fan J, Wu P, Chen Y, Zhu Y, Wang K, Yuan Y, Huang P, Zhang Y, Feng H, Song K, Zeng X, Zhu W, Hu X, Yin W, Chen W, Wang J. Targeting pro-inflammatory T cells as a novel therapeutic approach to potentially resolve atherosclerosis in humans. Cell Res 2024; 34:407-427. [PMID: 38491170 PMCID: PMC11143203 DOI: 10.1038/s41422-024-00945-0] [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: 09/24/2023] [Accepted: 02/24/2024] [Indexed: 03/18/2024] Open
Abstract
Atherosclerosis (AS), a leading cause of cardio-cerebrovascular disease worldwide, is driven by the accumulation of lipid contents and chronic inflammation. Traditional strategies primarily focus on lipid reduction to control AS progression, leaving residual inflammatory risks for major adverse cardiovascular events (MACEs). While anti-inflammatory therapies targeting innate immunity have reduced MACEs, many patients continue to face significant risks. Another key component in AS progression is adaptive immunity, but its potential role in preventing AS remains unclear. To investigate this, we conducted a retrospective cohort study on tumor patients with AS plaques. We found that anti-programmed cell death protein 1 (PD-1) monoclonal antibody (mAb) significantly reduces AS plaque size. With multi-omics single-cell analyses, we comprehensively characterized AS plaque-specific PD-1+ T cells, which are activated and pro-inflammatory. We demonstrated that anti-PD-1 mAb, when captured by myeloid-expressed Fc gamma receptors (FcγRs), interacts with PD-1 expressed on T cells. This interaction turns the anti-PD-1 mAb into a substitute PD-1 ligand, suppressing T-cell functions in the PD-1 ligands-deficient context of AS plaques. Further, we conducted a prospective cohort study on tumor patients treated with anti-PD-1 mAb with or without Fc-binding capability. Our analysis shows that anti-PD-1 mAb with Fc-binding capability effectively reduces AS plaque size, while anti-PD-1 mAb without Fc-binding capability does not. Our work suggests that T cell-targeting immunotherapy can be an effective strategy to resolve AS in humans.
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Affiliation(s)
- Lin Fan
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou, Zhejiang, China
- Research Center for Life Science and Human Health, Binjiang Institute of Zhejiang University, Hangzhou, Zhejiang, China
| | - Junwei Liu
- Department of Cell Biology, Zhejiang University School of Medicine, and Liangzhu Laboratory, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory for Biomedical Engineering of the Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China
- Guangzhou National Laboratory, Guangzhou, Guangdong, China
| | - Wei Hu
- Department of Cell Biology, Zhejiang University School of Medicine, and Liangzhu Laboratory, Zhejiang University, Hangzhou, Zhejiang, China
- Kidney Disease Center, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Zexin Chen
- Center of Clinical Epidemiology and Biostatistics and Department of Scientific Research, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jie Lan
- National Laboratory of Biomacromolecules, Institute of Biophysics, University of Chinese Academy of Sciences, Beijing, China
- Department of Bioinformatics, The Basic Medical School of Chongqing Medical University, Chongqing, China
| | - Tongtong Zhang
- Department of Cell Biology, Zhejiang University School of Medicine, and Liangzhu Laboratory, Zhejiang University, Hangzhou, Zhejiang, China
- Department of Hepatobiliary and Pancreatic Surgery, The Center for Integrated Oncology and Precision Medicine, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yang Zhang
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xianpeng Wu
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Zhiwei Zhong
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Danyang Zhang
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Jinlong Zhang
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Rui Qin
- Department of Cell Biology, Zhejiang University School of Medicine, and Liangzhu Laboratory, Zhejiang University, Hangzhou, Zhejiang, China
- The MOE Frontier Science Center for Brain Science & Brain-machine Integration, Zhejiang University, Hangzhou, Zhejiang, China
| | - Hui Chen
- National Laboratory of Biomacromolecules, Institute of Biophysics, University of Chinese Academy of Sciences, Beijing, China
| | - Yunfeng Zong
- National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jianmin Zhang
- Department of Neurosurgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Bing Chen
- Department of Vascular Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jun Jiang
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Jifang Cheng
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jingyi Zhou
- Department of Neurosurgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Zhiwei Gao
- Department of Vascular Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Zhenjie Liu
- Department of Vascular Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Ying Chai
- Department of Thoracic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Junqiang Fan
- Department of Thoracic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Pin Wu
- Department of Thoracic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yinxuan Chen
- Department of Cell Biology, Zhejiang University School of Medicine, and Liangzhu Laboratory, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yuefeng Zhu
- Department of Vascular Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Kai Wang
- Department of Respiratory, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Ying Yuan
- Department of Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Pintong Huang
- Department of Ultrasound in Medicine, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Ying Zhang
- Department of Ultrasound in Medicine, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Huiqin Feng
- Department of Clinical Research Center, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Kaichen Song
- Key Laboratory for Biomedical Engineering of the Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xun Zeng
- National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Wei Zhu
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Xinyang Hu
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
- Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou, Zhejiang, China.
- Research Center for Life Science and Human Health, Binjiang Institute of Zhejiang University, Hangzhou, Zhejiang, China.
| | - Weiwei Yin
- Key Laboratory for Biomedical Engineering of the Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China.
- Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, Zhejiang, China.
| | - Wei Chen
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
- Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou, Zhejiang, China.
- Department of Cell Biology, Zhejiang University School of Medicine, and Liangzhu Laboratory, Zhejiang University, Hangzhou, Zhejiang, China.
- Key Laboratory for Biomedical Engineering of the Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China.
- The MOE Frontier Science Center for Brain Science & Brain-machine Integration, Zhejiang University, Hangzhou, Zhejiang, China.
| | - Jian'an Wang
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
- Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou, Zhejiang, China.
- Research Center for Life Science and Human Health, Binjiang Institute of Zhejiang University, Hangzhou, Zhejiang, China.
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Karakousi T, Mudianto T, Lund AW. Lymphatic vessels in the age of cancer immunotherapy. Nat Rev Cancer 2024; 24:363-381. [PMID: 38605228 DOI: 10.1038/s41568-024-00681-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/27/2024] [Indexed: 04/13/2024]
Abstract
Lymphatic transport maintains homeostatic health and is necessary for immune surveillance, and yet lymphatic growth is often associated with solid tumour development and dissemination. Although tumour-associated lymphatic remodelling and growth were initially presumed to simply expand a passive route for regional metastasis, emerging research puts lymphatic vessels and their active transport at the interface of metastasis, tumour-associated inflammation and systemic immune surveillance. Here, we discuss active mechanisms through which lymphatic vessels shape their transport function to influence peripheral tissue immunity and the current understanding of how tumour-associated lymphatic vessels may both augment and disrupt antitumour immune surveillance. We end by looking forward to emerging areas of interest in the field of cancer immunotherapy in which lymphatic vessels and their transport function are likely key players: the formation of tertiary lymphoid structures, immune surveillance in the central nervous system, the microbiome, obesity and ageing. The lessons learnt support a working framework that defines the lymphatic system as a key determinant of both local and systemic inflammatory networks and thereby a crucial player in the response to cancer immunotherapy.
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Affiliation(s)
- Triantafyllia Karakousi
- Ronald O. Perelman Department of Dermatology, NYU Grossman School of Medicine, New York, NY, USA
| | - Tenny Mudianto
- Ronald O. Perelman Department of Dermatology, NYU Grossman School of Medicine, New York, NY, USA
| | - Amanda W Lund
- Ronald O. Perelman Department of Dermatology, NYU Grossman School of Medicine, New York, NY, USA.
- Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA.
- Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
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Li X, Poire A, Jeong KJ, Zhang D, Ozmen TY, Chen G, Sun C, Mills GB. C5aR1 inhibition reprograms tumor associated macrophages and reverses PARP inhibitor resistance in breast cancer. Nat Commun 2024; 15:4485. [PMID: 38802355 PMCID: PMC11130309 DOI: 10.1038/s41467-024-48637-y] [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: 11/21/2022] [Accepted: 05/09/2024] [Indexed: 05/29/2024] Open
Abstract
Although Poly (ADP-ribose) polymerase (PARP) inhibitors (PARPi) have been approved in multiple diseases, including BRCA1/2 mutant breast cancer, responses are usually transient requiring the deployment of combination therapies for optimal efficacy. Here we thus explore mechanisms underlying sensitivity and resistance to PARPi using two intrinsically PARPi sensitive (T22) and resistant (T127) syngeneic murine breast cancer models in female mice. We demonstrate that tumor associated macrophages (TAM) potentially contribute to the differential sensitivity to PARPi. By single-cell RNA-sequencing, we identify a TAM_C3 cluster, expressing genes implicated in anti-inflammatory activity, that is enriched in PARPi resistant T127 tumors and markedly decreased by PARPi in T22 tumors. Rps19/C5aR1 signaling is selectively elevated in TAM_C3. C5aR1 inhibition or transferring C5aR1hi cells increases and decreases PARPi sensitivity, respectively. High C5aR1 levels in human breast cancers are associated with poor responses to immune checkpoint blockade. Thus, targeting C5aR1 may selectively deplete pro-tumoral macrophages and engender sensitivity to PARPi and potentially other therapies.
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Affiliation(s)
- Xi Li
- Division of Oncological Sciences Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA.
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Alfonso Poire
- Division of Oncological Sciences Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA
| | - Kang Jin Jeong
- Division of Oncological Sciences Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA
| | - Dong Zhang
- Division of Oncological Sciences Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA
| | - Tugba Yildiran Ozmen
- Division of Oncological Sciences Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA
| | - Gang Chen
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chaoyang Sun
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gordon B Mills
- Division of Oncological Sciences Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA
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Xu L, Saunders K, Huang SP, Knutsdottir H, Martinez-Algarin K, Terrazas I, Chen K, McArthur HM, Maués J, Hodgdon C, Reddy SM, Roussos Torres ET, Xu L, Chan IS. A comprehensive single-cell breast tumor atlas defines epithelial and immune heterogeneity and interactions predicting anti-PD-1 therapy response. Cell Rep Med 2024; 5:101511. [PMID: 38614094 PMCID: PMC11148512 DOI: 10.1016/j.xcrm.2024.101511] [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: 03/09/2023] [Revised: 02/20/2024] [Accepted: 03/20/2024] [Indexed: 04/15/2024]
Abstract
We present an integrated single-cell RNA sequencing atlas of the primary breast tumor microenvironment (TME) containing 236,363 cells from 119 biopsy samples across eight datasets. In this study, we leverage this resource for multiple analyses of immune and cancer epithelial cell heterogeneity. We define natural killer (NK) cell heterogeneity through six subsets in the breast TME. Because NK cell heterogeneity correlates with epithelial cell heterogeneity, we characterize epithelial cells at the level of single-gene expression, molecular subtype, and 10 categories reflecting intratumoral transcriptional heterogeneity. We develop InteractPrint, which considers how cancer epithelial cell heterogeneity influences cancer-immune interactions. We use T cell InteractPrint to predict response to immune checkpoint inhibition (ICI) in two breast cancer clinical trials testing neoadjuvant anti-PD-1 therapy. T cell InteractPrint was predictive of response in both trials versus PD-L1 (AUC = 0.82, 0.83 vs. 0.50, 0.72). This resource enables additional high-resolution investigations of the breast TME.
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Affiliation(s)
- Lily Xu
- Department of Internal Medicine, Division of Hematology and Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Kaitlyn Saunders
- Department of Internal Medicine, Division of Hematology and Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Shao-Po Huang
- Department of Internal Medicine, Division of Hematology and Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Hildur Knutsdottir
- Department of Biomedical Engineering, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA
| | - Kenneth Martinez-Algarin
- Department of Internal Medicine, Division of Hematology and Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Isabella Terrazas
- Department of Internal Medicine, Division of Hematology and Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Kenian Chen
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Heather M McArthur
- Department of Internal Medicine, Division of Hematology and Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | | | - Sangeetha M Reddy
- Department of Internal Medicine, Division of Hematology and Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Evanthia T Roussos Torres
- Division of Medical Oncology, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lin Xu
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Isaac S Chan
- Department of Internal Medicine, Division of Hematology and Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA; Hamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
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41
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Gao ZJ, Fang H, Sun S, Liu SQ, Fang Z, Liu Z, Li B, Wang P, Sun SR, Meng XY, Wu Q, Chen CS. Single-cell analyses reveal evolution mimicry during the specification of breast cancer subtype. Theranostics 2024; 14:3104-3126. [PMID: 38855191 PMCID: PMC11155410 DOI: 10.7150/thno.96163] [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: 03/11/2024] [Accepted: 05/12/2024] [Indexed: 06/11/2024] Open
Abstract
Background: The stem or progenitor antecedents confer developmental plasticity and unique cell identities to cancer cells via genetic and epigenetic programs. A comprehensive characterization and mapping of the cell-of-origin of breast cancer using novel technologies to unveil novel subtype-specific therapeutic targets is still absent. Methods: We integrated 195,144 high-quality cells from normal breast tissues and 406,501 high-quality cells from primary breast cancer samples to create a large-scale single-cell atlas of human normal and cancerous breasts. Potential heterogeneous origin of malignant cells was explored by contrasting cancer cells against reference normal epithelial cells. Multi-omics analyses and both in vitro and in vivo experiments were performed to screen and validate potential subtype-specific treatment targets. Novel biomarkers of identified immune and stromal cell subpopulations were validated by immunohistochemistry in our cohort. Results: Tumor stratification based on cancer cell-of-origin patterns correlated with clinical outcomes, genomic aberrations and diverse microenvironment constitutions. We found that the luminal progenitor (LP) subtype was robustly associated with poor prognosis, genomic instability and dysfunctional immune microenvironment. However, the LP subtype patients were sensitive to neoadjuvant chemotherapy (NAC), PARP inhibitors (PARPi) and immunotherapy. The LP subtype-specific target PLK1 was investigated by both in vitro and in vivo experiments. Besides, large-scale single-cell profiling of breast cancer inspired us to identify a range of clinically relevant immune and stromal cell subpopulations, including subsets of innate lymphoid cells (ILCs), macrophages and endothelial cells. Conclusion: The present single-cell study revealed the cellular repertoire and cell-of-origin patterns of breast cancer. Combining single-cell and bulk transcriptome data, we elucidated the evolution mimicry from normal to malignant subtypes and expounded the LP subtype with vital clinical implications. Novel immune and stromal cell subpopulations of breast cancer identified in our study could be potential therapeutic targets. Taken together, Our findings lay the foundation for the precise prognostic and therapeutic stratification of breast cancer.
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Affiliation(s)
- Zhi-Jie Gao
- Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Huan Fang
- Kunming Institute of Zoology, Chinese Academy of Sciences. Kunming, Yunnan, China
- Kunming College of Life Sciences, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Si Sun
- Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Si-Qing Liu
- Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Zhou Fang
- Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Zhou Liu
- Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Bei Li
- Department of Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei. China
| | - Ping Wang
- Medical College, Anhui University of Science and Technology, Huainan, AnHui. China
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Sheng-Rong Sun
- Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Xiang-Yu Meng
- Health Science Center, Hubei Minzu University, Enshi, Hubei, China
| | - Qi Wu
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ce-Shi Chen
- Kunming Institute of Zoology, Chinese Academy of Sciences. Kunming, Yunnan, China
- Academy of Biomedical Engineering, Kunming Medical University, Kunming, Yunnan, China
- The Third Affiliated Hospital, Kunming Medical University, Kunming, Yunnan, China
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Jolly KJ, Zhang F. IVT-mRNA reprogramming of myeloid cells for cancer immunotherapy. ADVANCES IN PHARMACOLOGY (SAN DIEGO, CALIF.) 2024; 100:247-288. [PMID: 39034054 DOI: 10.1016/bs.apha.2024.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/23/2024]
Abstract
In the past decade, in vitro transcribed messenger RNAs (IVT-mRNAs) have emerged as promising therapeutic molecules. The clinical success of COVID-19 mRNA vaccines developed by Pfizer-BioNTech and Moderna, have demonstrated that IVT-mRNAs can be safely and successfully used in a clinical setting, and efforts are underway to develop IVT-mRNAs for therapeutic applications. Current applications of mRNA-based therapy have been focused on (1) mRNA vaccines for infectious diseases and cancer treatment; (2) protein replacement therapy; (3) gene editing therapy; and (4) cell-reprogramming therapies. Due to the recent clinical progress of cell-based immunotherapies, the last direction-the use of IVT-mRNAs as a therapeutic approach to program immune cells for the treatment of cancer has received extensive attention from the cancer immunotherapy field. Myeloid cells are important components of our immune system, and they play critical roles in mediating disease progression and regulating immunity against diseases. In this chapter, we discussed the progress of using IVT-mRNAs as a therapeutic approach to program myeloid cells against cancer and other immune-related diseases. Towards this direction, we first reviewed the pharmacology of IVT-mRNAs and the biology of myeloid cells as well as myeloid cell-targeting therapeutics. We then presented a few cases of current IVT-mRNA-based approaches to target and reprogram myeloid cells for disease treatment and discussed the advantages and limitations of these approaches. Finally, we presented our considerations in designing mRNA-based approaches to target myeloid cells for disease treatment.
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Affiliation(s)
- Kevon J Jolly
- Department of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, FL, United States
| | - Fan Zhang
- Department of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, FL, United States; Department of Chemical Engineering, College of Engineering, University of Florida, Gainesville, FL, United States; Department of Pharmacology & Therapeutics, College of Medicine, University of Florida, Gainesville, FL, United States.
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Agrawal P, Jain N, Gopalan V, Timon A, Singh A, Rajagopal PS, Hannenhalli S. Network-based approach elucidates critical genes in BRCA subtypes and chemotherapy response in triple negative breast cancer. iScience 2024; 27:109752. [PMID: 38699227 PMCID: PMC11063905 DOI: 10.1016/j.isci.2024.109752] [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: 09/18/2023] [Revised: 03/18/2024] [Accepted: 04/12/2024] [Indexed: 05/05/2024] Open
Abstract
Breast cancers (BRCA) exhibit substantial transcriptional heterogeneity, posing a significant clinical challenge. The global transcriptional changes in a disease context, however, are likely mediated by few key genes which reflect disease etiology better than the differentially expressed genes (DEGs). We apply our network-based tool PathExt to 1,059 BRCA tumors across 4 subtypes to identify key mediator genes in each subtype. Compared to conventional differential expression analysis, PathExt-identified genes exhibit greater concordance across tumors, revealing shared and subtype-specific biological processes; better recapitulate BRCA-associated genes in multiple benchmarks, and are more essential in BRCA subtype-specific cell lines. Single-cell transcriptomic analysis reveals a subtype-specific distribution of PathExt-identified genes in multiple cell types from the tumor microenvironment. Application of PathExt to a TNBC chemotherapy response dataset identified subtype-specific key genes and biological processes associated with resistance. We described putative drugs that target key genes potentially mediating drug resistance.
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Affiliation(s)
- Piyush Agrawal
- Cancer Data Science Lab, National Cancer Institute, NIH, Bethesda, MD, USA
| | | | - Vishaka Gopalan
- Cancer Data Science Lab, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Annan Timon
- University of Pennsylvania, Philadelphia, PA, USA
| | - Arashdeep Singh
- Cancer Data Science Lab, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Padma S. Rajagopal
- Cancer Data Science Lab, National Cancer Institute, NIH, Bethesda, MD, USA
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Zhao Y, Li X, Loscalzo J, Smelik M, Sysoev O, Wang Y, Mahmud AKMF, Mansour Aly D, Benson M. Transcript and protein signatures derived from shared molecular interactions across cancers are associated with mortality. J Transl Med 2024; 22:444. [PMID: 38734658 PMCID: PMC11088765 DOI: 10.1186/s12967-024-05268-7] [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: 02/26/2024] [Accepted: 05/01/2024] [Indexed: 05/13/2024] Open
Abstract
BACKGROUND Characterization of shared cancer mechanisms have been proposed to improve therapy strategies and prognosis. Here, we aimed to identify shared cell-cell interactions (CCIs) within the tumor microenvironment across multiple solid cancers and assess their association with cancer mortality. METHODS CCIs of each cancer were identified by NicheNet analysis of single-cell RNA sequencing data from breast, colon, liver, lung, and ovarian cancers. These CCIs were used to construct a shared multi-cellular tumor model (shared-MCTM) representing common CCIs across cancers. A gene signature was identified from the shared-MCTM and tested on the mRNA and protein level in two large independent cohorts: The Cancer Genome Atlas (TCGA, 9185 tumor samples and 727 controls across 22 cancers) and UK biobank (UKBB, 10,384 cancer patients and 5063 controls with proteomics data across 17 cancers). Cox proportional hazards models were used to evaluate the association of the signature with 10-year all-cause mortality, including sex-specific analysis. RESULTS A shared-MCTM was derived from five individual cancers. A shared gene signature was extracted from this shared-MCTM and the most prominent regulatory cell type, matrix cancer-associated fibroblast (mCAF). The signature exhibited significant expression changes in multiple cancers compared to controls at both mRNA and protein levels in two independent cohorts. Importantly, it was significantly associated with mortality in cancer patients in both cohorts. The highest hazard ratios were observed for brain cancer in TCGA (HR [95%CI] = 6.90[4.64-10.25]) and ovarian cancer in UKBB (5.53[2.08-8.80]). Sex-specific analysis revealed distinct risks, with a higher mortality risk associated with the protein signature score in males (2.41[1.97-2.96]) compared to females (1.84[1.44-2.37]). CONCLUSION We identified a gene signature from a comprehensive shared-MCTM representing common CCIs across different cancers and revealed the regulatory role of mCAF in the tumor microenvironment. The pathogenic relevance of the gene signature was supported by differential expression and association with mortality on both mRNA and protein levels in two independent cohorts.
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Affiliation(s)
- Yelin Zhao
- Medical Digital Twin Research Group, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden
| | - Xinxiu Li
- Medical Digital Twin Research Group, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden
| | - Joseph Loscalzo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Martin Smelik
- Medical Digital Twin Research Group, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden
| | - Oleg Sysoev
- Division of Statistics and Machine Learning, Department of Computer and Information Science, Linköping University, Linköping, Sweden
| | - Yunzhang Wang
- Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - A K M Firoj Mahmud
- Medical Digital Twin Research Group, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden
| | - Dina Mansour Aly
- Medical Digital Twin Research Group, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden
| | - Mikael Benson
- Medical Digital Twin Research Group, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden.
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Plebanek MP, Xue Y, Nguyen YV, DeVito NC, Wang X, Holtzhausen A, Beasley GM, Theivanthiran B, Hanks BA. A lactate-SREBP2 signaling axis drives tolerogenic dendritic cell maturation and promotes cancer progression. Sci Immunol 2024; 9:eadi4191. [PMID: 38728412 DOI: 10.1126/sciimmunol.adi4191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 04/12/2024] [Indexed: 05/12/2024]
Abstract
Conventional dendritic cells (DCs) are essential mediators of antitumor immunity. As a result, cancers have developed poorly understood mechanisms to render DCs dysfunctional within the tumor microenvironment (TME). After identification of CD63 as a specific surface marker, we demonstrate that mature regulatory DCs (mregDCs) migrate to tumor-draining lymph node tissues and suppress DC antigen cross-presentation in trans while promoting T helper 2 and regulatory T cell differentiation. Transcriptional and metabolic studies showed that mregDC functionality is dependent on the mevalonate biosynthetic pathway and its master transcription factor, SREBP2. We found that melanoma-derived lactate activates SREBP2 in tumor DCs and drives conventional DC transformation into mregDCs via homeostatic or tolerogenic maturation. DC-specific genetic silencing and pharmacologic inhibition of SREBP2 promoted antitumor CD8+ T cell activation and suppressed melanoma progression. CD63+ mregDCs were found to reside within the lymph nodes of several preclinical tumor models and in the sentinel lymph nodes of patients with melanoma. Collectively, this work suggests that a tumor lactate-stimulated SREBP2-dependent program promotes CD63+ mregDC development and function while serving as a promising therapeutic target for overcoming immune tolerance in the TME.
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Affiliation(s)
- Michael P Plebanek
- Department of Medicine, Division of Medical Oncology, Duke Cancer Institute, Duke University, Durham, NC 27708, USA
| | - Yue Xue
- Department of Medicine, Division of Medical Oncology, Duke Cancer Institute, Duke University, Durham, NC 27708, USA
| | - Y-Van Nguyen
- Department of Medicine, Division of Medical Oncology, Duke Cancer Institute, Duke University, Durham, NC 27708, USA
| | - Nicholas C DeVito
- Department of Medicine, Division of Medical Oncology, Duke Cancer Institute, Duke University, Durham, NC 27708, USA
| | - Xueying Wang
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC 27708, USA
| | - Alisha Holtzhausen
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Georgia M Beasley
- Department of Surgery, Division of Surgical Oncology, Duke Cancer Institute, Duke University, Durham, NC 27708, USA
| | - Balamayooran Theivanthiran
- Department of Medicine, Division of Medical Oncology, Duke Cancer Institute, Duke University, Durham, NC 27708, USA
| | - Brent A Hanks
- Department of Medicine, Division of Medical Oncology, Duke Cancer Institute, Duke University, Durham, NC 27708, USA
- Department of Pharmacology and Cancer Biology, Duke University, Durham, NC 27708, USA
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46
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Supplitt S, Karpinski P, Sasiadek M, Laczmanski L, Kujawa D, Matkowski R, Kasprzak P, Abrahamowska M, Maciejczyk A, Iwaneczko E, Laczmanska I. The analysis of transcriptomic signature of TNBC-searching for the potential RNA-based predictive biomarkers to determine the chemotherapy sensitivity. J Appl Genet 2024:10.1007/s13353-024-00876-x. [PMID: 38722458 DOI: 10.1007/s13353-024-00876-x] [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: 12/28/2023] [Revised: 04/28/2024] [Accepted: 04/29/2024] [Indexed: 08/17/2024]
Abstract
Neoadjuvant chemotherapy is the foundation treatment for triple-negative breast cancer (TNBC) and frequently results in pathological complete response (pCR). However, there are large differences in clinical response and survival after neoadjuvant chemotherapy of TNBC patients. The aim was to identify genes whose expression significantly associates with the efficacy of neoadjuvant chemotherapy in patients with TNBC. Transcriptomes of 46 formalin-fixed paraffin-embedded (FFPE) tumor samples from TNBC patients were analyzed by RNA-seq by comparing 26 TNBCs with pCR versus 20 TNBCs with pathological partial remission (pPR). Subsequently, we narrowed down the list of genes to those that strongly correlated with drug sensitivity of 63 breast cancer cell lines based on Dependency Map Consortium data re-analysis. Furthermore, the list of genes was limited to those presenting specific expression in breast tumor cells as revealed in three large published single-cell RNA-seq breast cancer datasets. Finally, we analyzed which of the selected genes were significantly associated with overall survival (OS) in TNBC TCGA dataset. A total of 105 genes were significantly differentially expressed in comparison between pPR versus pCR. As revealed by PLSR analysis in breast cancer cell lines, out of 105 deregulated genes, 42 were associated with sensitivity to docetaxel, doxorubicin, paclitaxel, and/or cyclophosphamide. We found that 24 out of 42 sensitivity-associated genes displayed intermediate or strong expression in breast malignant cells using single-cell RNAseq re-analysis. Finally, 10 out of 24 genes were significantly associated with overall survival in TNBC TCGA dataset. Our RNA-seq-based findings suggest that there might be transcriptomic signature consisted of 24 genes specifically expressed in tumor malignant cells for predicting neoadjuvant response in FFPE samples from TNBC patients prior to treatment initiation. Additionally, nine out of 24 genes were potential survival predictors in TNBC. This group of 24 genes should be further investigated for its potential to be translated into a predictive test(s).
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Affiliation(s)
- Stanislaw Supplitt
- Lower Silesian Oncology, Pulmonology and Hematology Center, Hirszfelda Sq. 12, 53-413, Wroclaw, Poland
- Department of Genetics, Wroclaw Medical University, Marcinkowskiego 1, 50-368, Wroclaw, Poland
| | - Pawel Karpinski
- Department of Genetics, Wroclaw Medical University, Marcinkowskiego 1, 50-368, Wroclaw, Poland
| | - Maria Sasiadek
- Department of Genetics, Wroclaw Medical University, Marcinkowskiego 1, 50-368, Wroclaw, Poland
| | - Lukasz Laczmanski
- Laboratory of Genomics and Bioinformatics, Ludwik Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Dorota Kujawa
- Laboratory of Genomics and Bioinformatics, Ludwik Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Rafal Matkowski
- Lower Silesian Oncology, Pulmonology and Hematology Center, Hirszfelda Sq. 12, 53-413, Wroclaw, Poland
- Department of Oncology, Wroclaw Medical University, Hirszfelda 12, 53-413, Wroclaw, Poland
| | - Piotr Kasprzak
- Lower Silesian Oncology, Pulmonology and Hematology Center, Hirszfelda Sq. 12, 53-413, Wroclaw, Poland
| | - Mariola Abrahamowska
- Lower Silesian Oncology, Pulmonology and Hematology Center, Hirszfelda Sq. 12, 53-413, Wroclaw, Poland
- Department of Oncology, Wroclaw Medical University, Hirszfelda 12, 53-413, Wroclaw, Poland
| | - Adam Maciejczyk
- Lower Silesian Oncology, Pulmonology and Hematology Center, Hirszfelda Sq. 12, 53-413, Wroclaw, Poland
- Department of Oncology, Wroclaw Medical University, Hirszfelda 12, 53-413, Wroclaw, Poland
| | - Ewelina Iwaneczko
- Lower Silesian Oncology, Pulmonology and Hematology Center, Hirszfelda Sq. 12, 53-413, Wroclaw, Poland
| | - Izabela Laczmanska
- Lower Silesian Oncology, Pulmonology and Hematology Center, Hirszfelda Sq. 12, 53-413, Wroclaw, Poland.
- Department of Genetics, Wroclaw Medical University, Marcinkowskiego 1, 50-368, Wroclaw, Poland.
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Ma J, Wu Y, Ma L, Yang X, Zhang T, Song G, Li T, Gao K, Shen X, Lin J, Chen Y, Liu X, Fu Y, Gu X, Chen Z, Jiang S, Rao D, Pan J, Zhang S, Zhou J, Huang C, Shi S, Fan J, Guo G, Zhang X, Gao Q. A blueprint for tumor-infiltrating B cells across human cancers. Science 2024; 384:eadj4857. [PMID: 38696569 DOI: 10.1126/science.adj4857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 03/06/2024] [Indexed: 05/04/2024]
Abstract
B lymphocytes are essential mediators of humoral immunity and play multiple roles in human cancer. To decode the functions of tumor-infiltrating B cells, we generated a B cell blueprint encompassing single-cell transcriptome, B cell-receptor repertoire, and chromatin accessibility data across 20 different cancer types (477 samples, 269 patients). B cells harbored extraordinary heterogeneity and comprised 15 subsets, which could be grouped into two independent developmental paths (extrafollicular versus germinal center). Tumor types grouped into the extrafollicular pathway were linked with worse clinical outcomes and resistance to immunotherapy. The dysfunctional extrafollicular program was associated with glutamine-derived metabolites through epigenetic-metabolic cross-talk, which promoted a T cell-driven immunosuppressive program. These data suggest an intratumor B cell balance between extrafollicular and germinal-center responses and suggest that humoral immunity could possibly be harnessed for B cell-targeting immunotherapy.
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Affiliation(s)
- Jiaqiang Ma
- Department of Liver Surgery and Transplantation, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Yingcheng Wu
- Department of Liver Surgery and Transplantation, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Lifeng Ma
- Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, and Stem Cell Institute, Zhejiang University, Hangzhou 310058, China
| | - Xupeng Yang
- Department of Liver Surgery and Transplantation, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Tiancheng Zhang
- Department of Liver Surgery and Transplantation, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Guohe Song
- Department of Liver Surgery and Transplantation, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Teng Li
- The Center for Microbes, Development and Health, Key Laboratory of Immune Response and Immunotherapy, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai 200031, China
| | - Ke Gao
- Department of Liver Surgery and Transplantation, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Xia Shen
- Department of Liver Surgery and Transplantation, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Jian Lin
- Department of Liver Surgery and Transplantation, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Yamin Chen
- The Center for Microbes, Development and Health, Key Laboratory of Immune Response and Immunotherapy, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai 200031, China
| | - Xiaoshan Liu
- The Center for Microbes, Development and Health, Key Laboratory of Immune Response and Immunotherapy, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yuting Fu
- Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, and Stem Cell Institute, Zhejiang University, Hangzhou 310058, China
| | - Xixi Gu
- The Center for Microbes, Development and Health, Key Laboratory of Immune Response and Immunotherapy, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai 200031, China
| | - Zechuan Chen
- The Center for Microbes, Development and Health, Key Laboratory of Immune Response and Immunotherapy, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai 200031, China
| | - Shan Jiang
- The Center for Microbes, Development and Health, Key Laboratory of Immune Response and Immunotherapy, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai 200031, China
| | - Dongning Rao
- Department of Liver Surgery and Transplantation, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Jiaomeng Pan
- Department of Liver Surgery and Transplantation, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Shu Zhang
- Department of Liver Surgery and Transplantation, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Chen Huang
- Department of Gastrointestinal Surgery, Shanghai General Hospital Affiliated to Shanghai Jiaotong University, Shanghai 200080, China
| | - Si Shi
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Guoji Guo
- Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, and Stem Cell Institute, Zhejiang University, Hangzhou 310058, China
| | - Xiaoming Zhang
- The Center for Microbes, Development and Health, Key Laboratory of Immune Response and Immunotherapy, Shanghai Institute of Immunity and Infection, Chinese Academy of Sciences, Shanghai 200031, China
| | - Qiang Gao
- Department of Liver Surgery and Transplantation, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
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Hu R, Yang W, Li J, Jiang L, Li M, Zhang M, Kang Y, Cheng X, Zhu S, Zhao L, He W, Guo M, Ding S, Wu H, Cheng W. Multiple RNA Rapid In Situ Imaging Based on Cas9 Code Key System. SMALL METHODS 2024:e2400195. [PMID: 38699929 DOI: 10.1002/smtd.202400195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 03/29/2024] [Indexed: 05/05/2024]
Abstract
Existing RNA in situ imaging strategies mostly utilize parallel repetitive nucleic acid self-assembly to achieve multiple analysis, with limitations of complicated systems and cumbersome steps. Here, a Cas9 code key system with key probe (KP) encoder and CRISPR/Cas9 signal exporter is developed. This system triggers T-protospacer adjacent motif (T-PAM structural transitions of multiple KP encoders to form coding products with uniform single-guide RNA (sgRNA) target sequences as tandem nodes. Only single sgRNA/Cas9 complex is required to cleave multiple coding products, enabling efficient "many-to-one" tandem signaling, and non-collateral cleavage activity-dependent automatic signaling output through active introduction of mismatched bases. Compared with conventional parallel multiple signaling analysis model, the proposed system greatly simplifies reaction process and enhances detection efficiency. Further, a rapid multiple RNA in situ imaging system is developed by combining the Cas9 code key system with a T-strand displacement amplification (T-SDA) signal amplifier. The constructed system is applied to tumor cells and clinicopathology slices, generating clear multi-mRNA imaging profiles in less than an hour with just one step. Therefore, this work provides reliable technical support for clinical tumor typing and molecular mechanism investigation.
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Affiliation(s)
- Ruiwei Hu
- The Center for Clinical Molecular Medical Detection, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400042, China
- Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Wei Yang
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, China
| | - Jia Li
- The Center for Clinical Molecular Medical Detection, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400042, China
| | - Lanxin Jiang
- The Center for Clinical Molecular Medical Detection, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400042, China
| | - Menghan Li
- Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Mengxuan Zhang
- Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Yuexi Kang
- The Center for Clinical Molecular Medical Detection, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400042, China
| | - Xiaoxue Cheng
- The Center for Clinical Molecular Medical Detection, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400042, China
| | - Shasha Zhu
- The Center for Clinical Molecular Medical Detection, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400042, China
| | - Lina Zhao
- Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Wen He
- Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Minghui Guo
- Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Shijia Ding
- Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Haiping Wu
- Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Wei Cheng
- The Center for Clinical Molecular Medical Detection, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400042, China
- Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China
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49
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Mills GB, Labrie M. Enhancing anticancer activity of macrophages through rational drug combinations. J Clin Invest 2024; 134:e180512. [PMID: 38690738 PMCID: PMC11060729 DOI: 10.1172/jci180512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2024] Open
Abstract
Targeting tumor-associated macrophages (TAMs) is an emerging approach being tested in multiple clinical trials. TAMs, depending on their differentiation state, can exhibit pro- or antitumorigenic functions. For example, the M2-like phenotype represents a protumoral state that can stimulate tumor growth, angiogenesis, metastasis, therapy resistance, and immune evasion by expressing immune checkpoint proteins. In this issue of the JCI, Vaccaro and colleagues utilized an innovative drug screen approach to demonstrate that targeting driver oncogenic signaling pathways concurrently with anti-CD47 sensitizes tumor cells, causing them to undergo macrophage-induced phagocytosis. The combination treatment altered expression of molecules on the tumor cells that typically limit phagocytosis. It also reprogrammed macrophages to an M1-like antitumor state. Moreover, the approach was generalizable to tumor cells with different oncogenic pathways, opening the door to precision oncology-based rationale combination therapies that have the potential to improve outcomes for patients with oncogene-driven lung cancers and likely other cancer types.
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Affiliation(s)
- Gordon B. Mills
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA
| | - Marilyne Labrie
- Department of Immunology and Cell Biology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Quebec, Canada
- Centre de Recherche du Centre Hospitalier de l’Université de Sherbrooke (CRCHUS), Sherbrooke, Quebec, Canada
- Institut de Recherche sur le Cancer de l’Université de Sherbrooke (IRCUS), Sherbrooke, Quebec, Canada
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50
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Dobner S, Tóth F, de Rooij LPMH. A high-resolution view of the heterogeneous aging endothelium. Angiogenesis 2024; 27:129-145. [PMID: 38324119 PMCID: PMC11021252 DOI: 10.1007/s10456-023-09904-6] [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: 08/21/2023] [Accepted: 12/28/2023] [Indexed: 02/08/2024]
Abstract
Vascular endothelial cell (EC) aging has a strong impact on tissue perfusion and overall cardiovascular health. While studies confined to the investigation of aging-associated vascular readouts in one or a few tissues have already drastically expanded our understanding of EC aging, single-cell omics and other high-resolution profiling technologies have started to illuminate the intricate molecular changes underlying endothelial aging across diverse tissues and vascular beds at scale. In this review, we provide an overview of recent insights into the heterogeneous adaptations of the aging vascular endothelium. We address critical questions regarding tissue-specific and universal responses of the endothelium to the aging process, EC turnover dynamics throughout lifespan, and the differential susceptibility of ECs to acquiring aging-associated traits. In doing so, we underscore the transformative potential of single-cell approaches in advancing our comprehension of endothelial aging, essential to foster the development of future innovative therapeutic strategies for aging-associated vascular conditions.
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Affiliation(s)
- Sarah Dobner
- The CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Fanni Tóth
- The CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Laura P M H de Rooij
- The CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
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