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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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Zhang X, Zhong X, Wang L, Li H, Yang L, Li X, Yu X, Xie A. Effects of soluble TREM2 on motor progression in Parkinson's disease. Neurosci Lett 2023; 807:137277. [PMID: 37105353 DOI: 10.1016/j.neulet.2023.137277] [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: 02/24/2023] [Revised: 04/07/2023] [Accepted: 04/23/2023] [Indexed: 04/29/2023]
Abstract
OBJECTIVES To determine whether sTREM2 is changed during the pathogenesis of PD and reflect motor decline in PD individuals METHODS: The cerebrospinal fluid (CSF) from PD and healthy individuals were obtained to measure the expression of sTREM2 and further to evaluate the motor function at baseline and after four years of follow-up using the Parkinson's Progression Markers Initiative (PPMI) database. The relationship between motor disease progression at baseline and longitudinal CSF sTREM2 was evaluated by linear mixed-effects (LME) and multiple linear regression (MLR) models. The change rates of the motor symptoms and sTREM2 level in CSF were further rigorously analyzed using the LME model. Cox proportional-hazards regression models were used to evaluate the predictive values of sTREM2 in CSF for motor progression. The regulatory role of CSF α-syn and Tau between sTREM2 and motor assessments was evaluated by Mediating effect analysis. RESULTS We found no significant difference in CSF sTREM2 levels between the PD and HC groups (p = 0.155). However, late-onset PD patients had higher CSF sTREM2 levels than early-onset PD patients (p = 0.044). The basal levels of sTREM2 could predict motor progression over the four years of follow-up. The change rate of CSF sTREM2 was correlated with the progressive deterioration of motor function in PD individuals. Our observations also showed that CSF Tau was a significant mediator of the association between CSF sTREM2 and total UPDRS scores and UPDRS III and tremor at baseline with 26.5% and 33.5%, and 28.7% mediation, respectively. CONCLUSION Our results indicated that CSF sTREM2 was associated with the prognosis of PD motor symptoms. Besides, CSF Tau could effectively mediate the association of sTREM2 with motor progression.
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Affiliation(s)
- Xue Zhang
- Department of Neurology, Affiliated Qingdao Central Hospital of Qingdao University, Qingdao Cancer Hospital
| | - Xiaoling Zhong
- Department of Neurology, Affiliated Qingdao Central Hospital of Qingdao University, Qingdao Cancer Hospital
| | - Ling Wang
- Department of Neurology, Affiliated Qingdao Central Hospital of Qingdao University, Qingdao Cancer Hospital
| | - Haiyan Li
- Department of Neurology, Affiliated Qingdao Central Hospital of Qingdao University, Qingdao Cancer Hospital
| | - Liying Yang
- Department of Neurology, Affiliated Hospital of Qingdao University
| | - Xiaoyuan Li
- Department of Neurology, Affiliated Hospital of Qingdao University
| | - Xiaolong Yu
- Department of Neurology, Affiliated Qingdao Central Hospital of Qingdao University, Qingdao Cancer Hospital
| | - Anmu Xie
- Department of Neurology, Affiliated Hospital of Qingdao University.
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Wöhner B, Li W, Hey S, Drobny A, Werny L, Becker-Pauly C, Lucius R, Zunke F, Linder S, Arnold P. Proteolysis of CD44 at the cell surface controls a downstream protease network. Front Mol Biosci 2023; 10:1026810. [PMID: 36876041 PMCID: PMC9981664 DOI: 10.3389/fmolb.2023.1026810] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 01/31/2023] [Indexed: 02/19/2023] Open
Abstract
The cell surface receptor cluster of differentiation 44 (CD44) is the main hyaluronan receptor of the human body. At the cell surface, it can be proteolytically processed by different proteases and was shown to interact with different matrix metalloproteinases. Upon proteolytic processing of CD44 and generation of a C-terminal fragment (CTF), an intracellular domain (ICD) is released after intramembranous cleavage by the γ-secretase complex. This intracellular domain then translocates to the nucleus and induces transcriptional activation of target genes. In the past CD44 was identified as a risk gene for different tumor entities and a switch in CD44 isoform expression towards isoform CD44s associates with epithelial to mesenchymal transition (EMT) and cancer cell invasion. Here, we introduce meprin β as a new sheddase of CD44 and use a CRISPR/Cas9 approach to deplete CD44 and its sheddases ADAM10 and MMP14 in HeLa cells. We here identify a regulatory loop at the transcriptional level between ADAM10, CD44, MMP14 and MMP2. We show that this interplay is not only present in our cell model, but also across different human tissues as deduced from GTEx (Gene Tissue Expression) data. Furthermore, we identify a close relation between CD44 and MMP14 that is also reflected in functional assays for cell proliferation, spheroid formation, migration and adhesion.
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Affiliation(s)
- Birte Wöhner
- Anatomical Institute, Christian-Albrechts-University Kiel, Kiel, Germany
| | - Wenjia Li
- Institute of Functional and Clinical Anatomy, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Sven Hey
- Institute for Medical Microbiology, Virology, and Hygiene, University Medical Center Eppendorf, Hamburg, Germany
| | - Alice Drobny
- Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Ludwig Werny
- Biochemical Institute, Christian-Albrechts-University Kiel, Kiel, Germany
| | | | - Ralph Lucius
- Anatomical Institute, Christian-Albrechts-University Kiel, Kiel, Germany
| | - Friederike Zunke
- Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Stefan Linder
- Institute for Medical Microbiology, Virology, and Hygiene, University Medical Center Eppendorf, Hamburg, Germany
| | - Philipp Arnold
- Institute of Functional and Clinical Anatomy, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany
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