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Shovlin S, Young LS, Varešlija D. Hormonal and neuronal interactions shaping the brain metastatic microenvironment. Cancer Lett 2025; 624:217739. [PMID: 40288563 DOI: 10.1016/j.canlet.2025.217739] [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: 01/30/2025] [Revised: 04/15/2025] [Accepted: 04/22/2025] [Indexed: 04/29/2025]
Abstract
Metastatic progression drives the majority of cancer-related fatalities, and involvement of the central nervous system (CNS) poses especially formidable challenges to patients and clinicians. Brain metastases (BrM), commonly originate from lung, breast and melanoma cancers, and carry disproportionately poor outcomes. Although therapeutic advances have extended survival for many extracranial tumors, BrM incidence continues to climb-underscoring critical knowledge gaps in understanding the unique biology of tumor colonization in the CNS. While definitive evidence remains limited, a growing focus on cancer neuroscience-especially regarding hormone dependent cancer cells in the brain-has begun to reveal that factors normally regulated by sex steroids and neurosteroids may similarly influence the specialized metastatic microenvironment in the CNS. Steroid hormones can permeate the blood-brain barrier (BBB) or be synthesized de novo by astrocytes and other CNS-resident cells, potentially influencing processes such as inflammation, synaptic plasticity, and immune surveillance. However, how these hormonal pathways are co-opted by disseminated cancer cells remains unclear. Here, we review the complex hormonal landscape of the adult brain and examine how neuroendocrine-immune interactions, often regulated by sex hormones, may support metastatic growth. We discuss the interplay between systemic hormones, local steroidogenesis, and tumor adaptation to identify novel therapeutic opportunities.
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Affiliation(s)
- Stephen Shovlin
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Leonie S Young
- Department of Surgery, RCSI University of Medicine and Health Sciences, Dublin, Ireland; Beaumont RCSI Cancer Centre, Beaumont Hospital, Dublin, Ireland.
| | - Damir Varešlija
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland; Beaumont RCSI Cancer Centre, Beaumont Hospital, Dublin, Ireland.
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Westerlund LH, Bergström CK, Laakkonen PM, Le Joncour V. Deciphering the Dialogue between Brain Tumors, Neurons, and Astrocytes. THE AMERICAN JOURNAL OF PATHOLOGY 2025:S0002-9440(25)00153-1. [PMID: 40345526 DOI: 10.1016/j.ajpath.2025.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2024] [Revised: 03/19/2025] [Accepted: 04/02/2025] [Indexed: 05/11/2025]
Abstract
Glioblastoma (GB) and brain metastases (BM) from peripheral tumors account for most cases of tumors in the central nervous system (CNS) while also being the deadliest. From a structural point of view, malignant brain tumors are classically characterized by hypercellularity of glioma and vascular endothelial cells. Given these atypical histologic features, GB and BM have long been considered as "foreign" entities with few to no connections to the brain parenchyma. The identification of intricate connections established between GB cells and the brain parenchyma paired with the ability of peripheral metastatic cells to form functional synapses with neurons challenged the concept of brain tumors disconnected from the CNS. Tumor cell integration to the CNS alters brain functionality in patients and accelerates cancer progression. Next-generation precision medicine should therefore attempt to disconnect brain cancer cells from the brain. This review encompasses recent discoveries on the mechanisms underlying these relationships and discusses the impact of these connections on tumor progression. It also summarizes the therapeutic opportunities of interrupting the dialogue between healthy and neoplastic brains.
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Affiliation(s)
- Leevi H Westerlund
- Translational Cancer Medicine Research Program-CAN-PRO, Faculty of Medicine, Helsinki, Finland; Helsinki University Central Hospital, Helsinki, Finland
| | - Camilla K Bergström
- Neuroscience Center, HiLIFE-Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Pirjo M Laakkonen
- Translational Cancer Medicine Research Program-CAN-PRO, Faculty of Medicine, Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship Program, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Laboratory Animal Centre, HiLIFE-Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.
| | - Vadim Le Joncour
- Neuroscience Center, HiLIFE-Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland; iCAN Digital Precision Cancer Medicine Flagship Program, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
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3
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Zhou Y, Zhang X, Yin S, Yao Y, Chen T, Huang L, Liu Z. Shared genetic association between inflammatory bowel disease and acute myeloid leukemia: insights from mendelian randomization and transcriptomic analyses. Inflamm Res 2025; 74:77. [PMID: 40304766 DOI: 10.1007/s00011-025-02038-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2025] [Revised: 03/10/2025] [Accepted: 04/11/2025] [Indexed: 05/02/2025] Open
Abstract
BACKGROUND Observational studies suggest that a history of inflammatory bowel disease (IBD) is associated with the onset of acute myeloid leukemia (AML), often attributed to drug use. However, these findings are inconsistent. This study aimed to assess the causal relationship between IBD and AML, identify shared pathogenesis, and discover diagnostic and prognostic markers and potential therapeutic drugs. METHODS Two-sample Mendelian randomization (MR) was employed to analyze genetic associations between IBD [ulcerative colitis (UC) and Crohn's disease (CD)] and AML. Transcriptomic data from gene expression omnibus (GEO) identified differentially expressed genes (DEGs) in UC, AML, and controls. Weighted Gene Co-expression Network Analysis (WGCNA) and enrichment analyses [Gene Multiple Association Network Integration Algorithm (GeneMANIA), Kyoto Encyclopedia of Genes and Genomes (KEGG), Ractom pathway] and Gene Ontology (GO) explored shared genetic pathways. Receiver Operating Characteristic (ROC) curve and survival analyses screened diagnostic and prognostic markers. Cibersort and GSVA were employed to analyze the proportion of immune cells in UC and AML datasets, as well as to assess the association of specific genes with immune infiltration. The Drug Signatures Database (DSigDB) and Autodock molecular docking identified potential therapeutic small molecules. RESULTS MR analysis revealed a causal association between UC and the onset of AML. Differential expression and WGCNA analyses identified 23 co-driver genes regulated by Signal Transducer and Activator of Transcription 3 (STAT3) and Activating Transcription Factor 4 (AFT4), enriched in immune, inflammatory, and cell proliferation pathways. Tissue Inhibitor of Metalloproteinases 1 (TIMP1) and F2R-Like Trypsin Receptor 1 (F2RL1) were identified as practical diagnostic and prognostic markers for AML, with high TIMP1 and low F2RL1 expression promoting an immunosuppressive and inflammatory tumor microenvironment. Quercetin was identified as a promising candidate for UC-associated AML. CONCLUSIONS UC is a risk factor for AML pathogenesis. TIMP1 and F2RL1 are diagnostic and prognostic markers for UC-associated AML, potentially facilitating AML development through sustained inflammation and an immunosuppressive tumor microenvironment. Quercetin, a potential TIMP1 and F2RL1 inhibitor, may mitigate UC-AML transformation, providing insights into UC management, AML monitoring, and preventive therapy development.
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Affiliation(s)
- Yanqun Zhou
- The Second Clinical Medical School of Guizhou University of Chinese Medicine, No. 83, Feishan Street, Yunyan District, Guiyang, 550003, Guizhou Province, People's Republic of China
- Department of Hematology, The Second Affiliated Hospital of Guizhou University of Chinese Medicine, Guiyang, People's Republic of China
| | - Xiongfeng Zhang
- The Second Clinical Medical School of Guizhou University of Chinese Medicine, No. 83, Feishan Street, Yunyan District, Guiyang, 550003, Guizhou Province, People's Republic of China
- Department of Nephrology, The Second Affiliated Hospital of Guizhou University of Chinese Medicine, Guiyang, People's Republic of China
| | - Shangjin Yin
- The Second Clinical Medical School of Guizhou University of Chinese Medicine, No. 83, Feishan Street, Yunyan District, Guiyang, 550003, Guizhou Province, People's Republic of China
- Department of Hematology, The Second Affiliated Hospital of Guizhou University of Chinese Medicine, Guiyang, People's Republic of China
| | - Yuhong Yao
- The Second Clinical Medical School of Guizhou University of Chinese Medicine, No. 83, Feishan Street, Yunyan District, Guiyang, 550003, Guizhou Province, People's Republic of China
- Department of Hematology, The Second Affiliated Hospital of Guizhou University of Chinese Medicine, Guiyang, People's Republic of China
| | - Tao Chen
- The Second Clinical Medical School of Guizhou University of Chinese Medicine, No. 83, Feishan Street, Yunyan District, Guiyang, 550003, Guizhou Province, People's Republic of China
- Department of Hematology, The Second Affiliated Hospital of Guizhou University of Chinese Medicine, Guiyang, People's Republic of China
| | - Liming Huang
- The Second Clinical Medical School of Guizhou University of Chinese Medicine, No. 83, Feishan Street, Yunyan District, Guiyang, 550003, Guizhou Province, People's Republic of China.
- Department of Hematology, The Second Affiliated Hospital of Guizhou University of Chinese Medicine, Guiyang, People's Republic of China.
| | - Zenghui Liu
- Department of Hematology, The First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, No. 16 Jichang Road, Guangzhou, 510405, Guangdong Province, People's Republic of China.
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Wang T, Chen Z, Wang W, Wang H, Li S. Single-cell and spatial transcriptomic analysis reveals tumor cell heterogeneity and underlying molecular program in colorectal cancer. Front Immunol 2025; 16:1556386. [PMID: 40145096 PMCID: PMC11936967 DOI: 10.3389/fimmu.2025.1556386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2025] [Accepted: 02/24/2025] [Indexed: 03/28/2025] Open
Abstract
Background Colorectal cancer (CRC) is a highly heterogeneous tumor, with significant variation in malignant cells, posing challenges for treatment and prognosis. However, this heterogeneity offers opportunities for personalized therapy. Methods The consensus non-negative matrix factorization algorithm was employed to analyze single-cell transcriptomic data from CRC, which helped identify malignant cell expression programs (MCEPs). Subsequently, a crosstalk network linking MCEPs with immune/stromal cell trajectory development was constructed using Monocle3 and NicheNet. Additionally, bulk RNA-seq data were utilized to systematically explore the relationships between MCEPs, clinical features, and genetic mutations. A prognostic model was then established through Lasso and Cox regression analyses, integrating clinical data into a nomogram for personalized risk prediction. Furthermore, key genes associated with MCEPs and their potential therapeutic targets were identified using protein-protein interaction networks, followed by molecular docking to predict drug-binding affinity. Results We classified CRC malignant cell transcriptional states into eight distinct MCEPs and successfully constructed crosstalk networks between these MCEPs and immune or stromal cells. A prognostic model containing 15 genes was developed, demonstrating an AUC greater than 0.8 for prognostic evaluation over 1 to 10 years when combined with clinical features. A key drug target gene TIMP1 was identified, and several potential targeted drugs were discovered. Conclusion This study demonstrated that characterization of the malignant cell transcriptional programs could effectively reveal the biological features of highly heterogeneous tumors like CRC and exhibit significant potential in tumor prognosis assessment. Our research provides new theoretical and practical directions for CRC prognosis and targeted therapy.
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Affiliation(s)
- Teng Wang
- Department of Bioinformatics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, China
| | - Zhaoming Chen
- Department of Bioinformatics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, China
| | - Wang Wang
- Department of Immunology, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Tumor Immune Regulation and Immune Intervention, Chongqing Medical University, Chongqing, China
| | - Heng Wang
- Department of Bioinformatics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, China
| | - Shenglong Li
- Department of Bioinformatics, School of Basic Medical Sciences, Chongqing Medical University, Chongqing, China
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Dutta S, Zhu Y, Almuntashiri S, Peh HY, Zuñiga J, Zhang D, Somanath PR, Ramírez G, Irineo-Moreno V, Jiménez-Juárez F, López-Salinas K, Regino N, Campero P, Crocker SJ, Owen CA, Wang X. PDGFRα-positive cell-derived TIMP-1 modulates adaptive immune responses to influenza A viral infection. Am J Physiol Lung Cell Mol Physiol 2025; 328:L60-L74. [PMID: 39585242 PMCID: PMC11905806 DOI: 10.1152/ajplung.00104.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 10/16/2024] [Accepted: 11/05/2024] [Indexed: 11/26/2024] Open
Abstract
Tissue inhibitor of metalloproteinases-1 (TIMP-1) is a physiologic inhibitor of the matrix metalloproteinases (MMPs), but little is known about the role of TIMP-1 in regulating the pathogenesis of influenza A virus (IAV) infection. Here, we performed both in vivo and in vitro experiments to investigate the regulation and function of TIMP-1 during IAV infection. Specifically, plasma levels of TIMP-1 are significantly increased in human subjects and wild-type (WT) mice infected with 2009 H1N1 IAV compared with levels in uninfected controls. Also, TIMP-1 is strikingly upregulated in PDGFRα positive (PDGFRα+) cells in IAV-infected murine lungs as demonstrated using conditional KO (cKO) mice with a specific deletion of Timp-1 in PDGFRα+ cells. Our in vitro data indicated that TIMP-1 is induced by transforming growth factor-β (TGF-β) during lipofibroblasts (lipoFBs)-to-myofibroblast (myoFB) transdifferentiation. Timp-1 deficiency protects mice from H1N1 IAV-induced weight loss, mortality, and lung injury. IAV-infected Timp-1-deficient mice showed increased macrophages, and B and T cell counts in bronchoalveolar lavage (BAL) on day 7 postinfection (p.i.), but reduced BAL neutrophil counts. Increased Cxcl12 levels were detected in both BAL cells and lungs from Timp-1-deficient mice on day 3 p.i. Taken together, our data strongly link TIMP-1 to IAV pathogenesis. We identified that PDGFRα-lineage cells are the main cellular source of elevated TIMP-1 during IAV infection. Loss of Timp-1 attenuates IAV-induced mortality and promotes T and B cell recruitment. Thus, TIMP-1 may be a novel therapeutic target for IAV infection.NEW & NOTEWORTHY Our data strongly link tissue inhibitor of metalloproteinases-1 (TIMP-1) to influenza A virus (IAV) pathogenesis. TIMP-1 is highly increased in PDGFRα-lineage cells during IAV infection. Transforming growth factor-β (TGF-β) induces TIMP-1 during lipofibroblast (lipoFB)-to- myofibroblast (myoFB) transdifferentiation. Timp-1 deficiency protects mice from H1N1 IAV-induced weight loss, mortality, and lung injury. TIMP-1 may be a novel therapeutic target for IAV infection.
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Affiliation(s)
- Saugata Dutta
- Clinical and Experimental Therapeutics, College of Pharmacy, University of Georgia, Augusta, Georgia, United States
- Charlie Norwood VA Medical Center, Augusta, Georgia, United States
| | - Yin Zhu
- Clinical and Experimental Therapeutics, College of Pharmacy, University of Georgia, Augusta, Georgia, United States
- Charlie Norwood VA Medical Center, Augusta, Georgia, United States
| | - Sultan Almuntashiri
- Clinical and Experimental Therapeutics, College of Pharmacy, University of Georgia, Augusta, Georgia, United States
- Charlie Norwood VA Medical Center, Augusta, Georgia, United States
- Department of Clinical Pharmacy, College of Pharmacy, University of Hail, Hail, Saudi Arabia
| | - Hong Yong Peh
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts, United States
| | - Joaquin Zuñiga
- Laboratory of Immunobiology and Genetics and Intensive Care Unit, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
- Tecnologico de Monterrey, School of Medicine and Health Sciences, Mexico City, Mexico
| | - Duo Zhang
- Clinical and Experimental Therapeutics, College of Pharmacy, University of Georgia, Augusta, Georgia, United States
- Charlie Norwood VA Medical Center, Augusta, Georgia, United States
- Tecnologico de Monterrey, School of Medicine and Health Sciences, Mexico City, Mexico
- Department of Medicine, Medical College of Georgia, Augusta University, Augusta, Georgia, United States
| | - Payaningal R Somanath
- Clinical and Experimental Therapeutics, College of Pharmacy, University of Georgia, Augusta, Georgia, United States
- Charlie Norwood VA Medical Center, Augusta, Georgia, United States
| | - Gustavo Ramírez
- Laboratory of Immunobiology and Genetics and Intensive Care Unit, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Valeria Irineo-Moreno
- Laboratory of Immunobiology and Genetics and Intensive Care Unit, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
- Tecnologico de Monterrey, School of Medicine and Health Sciences, Mexico City, Mexico
| | - Fabiola Jiménez-Juárez
- Laboratory of Immunobiology and Genetics and Intensive Care Unit, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
- Tecnologico de Monterrey, School of Medicine and Health Sciences, Mexico City, Mexico
| | - Karen López-Salinas
- Laboratory of Immunobiology and Genetics and Intensive Care Unit, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
- Tecnologico de Monterrey, School of Medicine and Health Sciences, Mexico City, Mexico
| | - Nora Regino
- Laboratory of Immunobiology and Genetics and Intensive Care Unit, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
- Tecnologico de Monterrey, School of Medicine and Health Sciences, Mexico City, Mexico
| | - Paloma Campero
- Laboratory of Immunobiology and Genetics and Intensive Care Unit, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Stephen J Crocker
- Department of Neuroscience, University of Connecticut School of Medicine, Farmington, Connecticut, United States
| | - Caroline A Owen
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts, United States
| | - Xiaoyun Wang
- Clinical and Experimental Therapeutics, College of Pharmacy, University of Georgia, Augusta, Georgia, United States
- Charlie Norwood VA Medical Center, Augusta, Georgia, United States
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts, United States
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Suay G, Garcia-Cañaveras JC, Aparisi F, Garcia J, Juan-Vidal O, Lahoz A. Immune checkpoint inhibitors as first-line treatment for brain metastases in stage IV NSCLC patients without driver mutations. Cancer Lett 2024; 606:217317. [PMID: 39489211 DOI: 10.1016/j.canlet.2024.217317] [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: 09/05/2024] [Revised: 10/28/2024] [Accepted: 10/31/2024] [Indexed: 11/05/2024]
Abstract
Immune checkpoint inhibitors (ICI) therapy with or without chemotherapy has been established as the first-line treatment for patients with non-oncogene addicted advanced Non-Small Cell Lung Cancer (NSCLC). Yet some clinical settings, such as the treatment sequence in patients with brain metastases, have barely been evidenced. Although ICIs cannot directly cross the blood-brain barrier (BBB), evidence suggests that BBB damage could allow ICIs into the central nervous system, or that they can have an indirect effect on the tumor immune microenvironment (TIME) and cause an anti-tumor response. Pivotal phase III trials have included a highly selected population but offer few data on these patients. Here we first review how ICIs can indirectly shape the brain metastases microenvironment through different mechanisms, and some possible causes of ICIs resistance. We also analyze the evidence reported in pivotal phase III trials and phase II trials focused on NSCLC brain metastases for first-line treatment, and the evidence for upfront or delayed local brain therapy. Finally, we discuss the best evidence-based approach to treat NSCLC patients with brain metastases and propose future research.
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Affiliation(s)
- Guillermo Suay
- Medical Oncology Department - La Fe Hospital, Valencia, Spain; Biomarker and Precision Medicine Unit - Health Research Institute La Fe Hospital, Valencia, Spain
| | | | - Francisco Aparisi
- Medical Oncology Department - La Fe Hospital, Valencia, Spain; Biomarker and Precision Medicine Unit - Health Research Institute La Fe Hospital, Valencia, Spain
| | - José Garcia
- Medical Oncology Service, Hospital Arnau Vilanova, Valencia, Spain
| | - Oscar Juan-Vidal
- Medical Oncology Department - La Fe Hospital, Valencia, Spain; Biomarker and Precision Medicine Unit - Health Research Institute La Fe Hospital, Valencia, Spain
| | - Agustín Lahoz
- Biomarker and Precision Medicine Unit - Health Research Institute La Fe Hospital, Valencia, Spain.
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