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Li J, Yang J, Jiang S, Tian Y, Zhang Y, Xu L, Hu B, Shi H, Li Z, Ran G, Huang Y, Ruan S. Targeted reprogramming of tumor-associated macrophages for overcoming glioblastoma resistance to chemotherapy and immunotherapy. Biomaterials 2024; 311:122708. [PMID: 39047538 DOI: 10.1016/j.biomaterials.2024.122708] [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: 01/04/2024] [Revised: 06/07/2024] [Accepted: 07/18/2024] [Indexed: 07/27/2024]
Abstract
The resistance of glioblastoma multiforme (GBM) to standard chemotherapy is primarily attributed to the existence of tumor-associated macrophages (TAMs) in the GBM microenvironment, particularly the anti-inflammatory M2 phenotype. Targeted modulation of M2-TAMs is emerging as a promising strategy to enhance chemotherapeutic efficacy. However, combination TAM-targeted therapy with chemotherapy faces substantial challenges, notably in terms of delivery efficiency and targeting specificity. In this study, we designed a pH-responsive hierarchical brain-targeting micelleplex loaded with temozolomide (TMZ) and resiquimod (R848) for combination chemo-immunotherapy against GBM. This delivery system, termed PCPA&PPM@TR, features a primary Angiopep-2 decoration on the outer layer via a pH-cleavable linker and a secondary mannose analogue (MAN) on the middle layer. This pH-responsive hierarchical targeting strategy enables effective BBB permeability while simultaneous GBM- and TAMs-targeting delivery. GBM-targeted delivery of TMZ induces alkylation and triggers an anti-GBM immune response. Concurrently, TAM-targeted delivery of R848 reprograms their phenotype from M2 to pro-inflammatory M1, thereby diminishing GBM resistance to TMZ and amplifying the immune response. In vivo studies demonstrated that targeted modulation of TAMs using PCPA&PPM@TR significantly enhanced anti-GBM efficacy. In summary, this study proposes a promising brain-targeting delivery system for the targeted modulation of TAMs to combat GBM.
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Affiliation(s)
- Jianan Li
- School of Life Science, Advanced Research Institute of Multidisciplinary Science, Key Laboratory of Molecular Medicine and Biotherapy, Beijing Institute of Technology, Beijing, 100081, China
| | - Jun Yang
- School of Life Science, Advanced Research Institute of Multidisciplinary Science, Key Laboratory of Molecular Medicine and Biotherapy, Beijing Institute of Technology, Beijing, 100081, China
| | - Shaoping Jiang
- School of Life Science, Advanced Research Institute of Multidisciplinary Science, Key Laboratory of Molecular Medicine and Biotherapy, Beijing Institute of Technology, Beijing, 100081, China
| | - Yunxin Tian
- School of Life Science, Advanced Research Institute of Multidisciplinary Science, Key Laboratory of Molecular Medicine and Biotherapy, Beijing Institute of Technology, Beijing, 100081, China
| | - Yuquan Zhang
- School of Life Science, Advanced Research Institute of Multidisciplinary Science, Key Laboratory of Molecular Medicine and Biotherapy, Beijing Institute of Technology, Beijing, 100081, China
| | - Lin Xu
- School of Life Science, Advanced Research Institute of Multidisciplinary Science, Key Laboratory of Molecular Medicine and Biotherapy, Beijing Institute of Technology, Beijing, 100081, China
| | - Bo Hu
- School of Life Science, Advanced Research Institute of Multidisciplinary Science, Key Laboratory of Molecular Medicine and Biotherapy, Beijing Institute of Technology, Beijing, 100081, China
| | - Huiping Shi
- School of Life Science, Advanced Research Institute of Multidisciplinary Science, Key Laboratory of Molecular Medicine and Biotherapy, Beijing Institute of Technology, Beijing, 100081, China
| | - Zhaohan Li
- School of Life Science, Advanced Research Institute of Multidisciplinary Science, Key Laboratory of Molecular Medicine and Biotherapy, Beijing Institute of Technology, Beijing, 100081, China
| | - Guangyao Ran
- College of Pharmacy, Chongqing Medical University, Chongqing, 400016, China
| | - Yuanyu Huang
- School of Life Science, Advanced Research Institute of Multidisciplinary Science, Key Laboratory of Molecular Medicine and Biotherapy, Beijing Institute of Technology, Beijing, 100081, China.
| | - Shaobo Ruan
- School of Life Science, Advanced Research Institute of Multidisciplinary Science, Key Laboratory of Molecular Medicine and Biotherapy, Beijing Institute of Technology, Beijing, 100081, China.
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You H, Geng S, Li S, Imani M, Brambilla D, Sun T, Jiang C. Recent advances in biomimetic strategies for the immunotherapy of glioblastoma. Biomaterials 2024; 311:122694. [PMID: 38959533 DOI: 10.1016/j.biomaterials.2024.122694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 06/22/2024] [Accepted: 06/26/2024] [Indexed: 07/05/2024]
Abstract
Immunotherapy is regarded as one of the most promising approaches for treating tumors, with a multitude of immunotherapeutic thoughts currently under consideration for the lethal glioblastoma (GBM). However, issues with immunotherapeutic agents, such as limited in vivo stability, poor blood-brain barrier (BBB) penetration, insufficient GBM targeting, and represented monotherapy, have hindered the success of immunotherapeutic interventions. Moreover, even with the aid of conventional drug delivery systems, outcomes remain suboptimal. Biomimetic strategies seek to overcome these formidable drug delivery challenges by emulating nature's intelligent structures and functions. Leveraging the variety of biological structures and functions, biomimetic drug delivery systems afford a versatile platform with enhanced biocompatibility for the co-delivery of diverse immunotherapeutic agents. Moreover, their inherent capacity to traverse the BBB and home in on GBM holds promise for augmenting the efficacy of GBM immunotherapy. Thus, this review begins by revisiting the various thoughts and agents on immunotherapy for GBM. Then, the barriers to successful GBM immunotherapy are analyzed, and the corresponding biomimetic strategies are explored from the perspective of function and structure. Finally, the clinical translation's current state and prospects of biomimetic strategy are addressed. This review aspires to provide fresh perspectives on the advancement of immunotherapy for GBM.
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Affiliation(s)
- Haoyu You
- Key Laboratory of Smart Drug Delivery/Innovative Center for New Drug Development of Immune Inflammatory Diseases (Ministry of Education), Minhang Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Department of Pharmaceutics, School of Pharmacy, Fudan University, Shanghai 201203, China
| | - Shuo Geng
- Key Laboratory of Smart Drug Delivery/Innovative Center for New Drug Development of Immune Inflammatory Diseases (Ministry of Education), Minhang Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Department of Pharmaceutics, School of Pharmacy, Fudan University, Shanghai 201203, China
| | - Shangkuo Li
- Key Laboratory of Smart Drug Delivery/Innovative Center for New Drug Development of Immune Inflammatory Diseases (Ministry of Education), Minhang Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Department of Pharmaceutics, School of Pharmacy, Fudan University, Shanghai 201203, China
| | - Mohammad Imani
- Department of Science, Iran Polymer and Petrochemical Institute, Tehran 14977-13115, Iran; Center for Nanoscience and Nanotechnology, Institute for Convergence Science & Technology, Tehran 14588-89694, Iran
| | - Davide Brambilla
- Faculty of Pharmacy, University of Montreal, Montreal Quebec H3T 1J4, Canada
| | - Tao Sun
- Key Laboratory of Smart Drug Delivery/Innovative Center for New Drug Development of Immune Inflammatory Diseases (Ministry of Education), Minhang Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Department of Pharmaceutics, School of Pharmacy, Fudan University, Shanghai 201203, China.
| | - Chen Jiang
- Key Laboratory of Smart Drug Delivery/Innovative Center for New Drug Development of Immune Inflammatory Diseases (Ministry of Education), Minhang Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Department of Pharmaceutics, School of Pharmacy, Fudan University, Shanghai 201203, China
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Qian Y, Dong J, Zhang W, Xue X, Xiong Z, Zeng W, Wang Q, Fan Z, Zuo Z, Huang Z, Jiang Y. Deguelin inhibits the glioblastoma progression through suppressing CCL2/NFκB signaling pathway. Neuropharmacology 2024; 259:110109. [PMID: 39128581 DOI: 10.1016/j.neuropharm.2024.110109] [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: 03/25/2024] [Revised: 07/01/2024] [Accepted: 08/08/2024] [Indexed: 08/13/2024]
Abstract
Glioblastoma multiforme (GBM) is the most common primary intracranial tumor with characteristics of high aggressiveness and poor prognosis. Deguelin, a component from the bark of Leguminosae Mundulea sericea (African plant), displays antiproliferative effects in some tumors, however, the inhibitory effect and mechanism of deguelin on GBM were still poorly understood. At first, we found that deguelin reduced the viability of GBM cells by causing cell cycle arrest in G2/M phase and inducing their apoptosis. Secondly, deguelin inhibited the migration of GBM cells. Next, RNA-seq analysis identified that CCL2 (encoding chemokine CCL2) was downregulated significantly in deguelin-treated GBM cells. As reported, CCL2 promoted the cell growth, and CCL2 was associated with regulating NFκB signaling pathway, as well as involved in modulating tumor microenvironment (TME). Furthermore, we found that deguelin inactivated CCL2/NFκB signaling pathway, and exougous CCL2 could rescue the anti-inhibitory effect of deguelin on GBM cells via upregulating NFκB. Finally, we established a syngeneic intracranial orthotopic GBM model and found that deguelin regressed the tumor growth, contributed to an anti-tumorigenic TME and inhibited angiogenesis of GBM by suppressing CCL2/NFκB in vivo. Taken together, these results suggest the anti-GBM effect of deguelin via inhibiting CCL2/NFκB pathway, which may provide a new strategy for the treatment of GBM.
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Affiliation(s)
- Yiming Qian
- School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China
| | - Jianhong Dong
- School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China
| | - Wei Zhang
- School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China
| | - Xiumin Xue
- School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China
| | - Zhenrong Xiong
- School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China
| | - Weiquan Zeng
- School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China
| | - Qian Wang
- School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China
| | - Ziwei Fan
- Department of Orthopedics (Spine Surgery), The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
| | - Zhenxing Zuo
- Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - Zhihui Huang
- School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China.
| | - Yuanyuan Jiang
- School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China.
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Sanjaya A, Ratnawati H, Adhika OA, Rahmatilah FR. The heterogeneity of breast cancer metastasis: a bioinformatics analysis utilizing single-cell RNA sequencing data. Breast Cancer Res Treat 2024; 208:379-390. [PMID: 38992286 DOI: 10.1007/s10549-024-07428-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Accepted: 07/02/2024] [Indexed: 07/13/2024]
Abstract
PURPOSE Breast cancer is a common malignancy in women, and its metastasis is a leading cause of cancer-related deaths. Single-cell RNA sequencing (scRNA-seq) can distinguish the molecular characteristics of metastasis and identify predictor genes for patient prognosis. This article explores gene expression in primary breast cancer tumor tissue against metastatic cells in the lymph node and liver using scRNA-seq. METHODS Breast cancer scRNA-seq data from the Gene Expression Omnibus were used. The data were processed using R and the Seurat package. The cells were clustered and identified using Metascape. InferCNV is used to analyze the variation in copy number. Differential expression analysis was conducted for the cancer cells using Seurat and was enriched using Metascape. RESULTS We identified 18 distinct cell clusters, 6 of which were epithelial. CNV analysis identified significant alterations with duplication of chromosomes 1, 8, and 19. Differential gene analysis resulted in 17 upregulated and 171 downregulated genes for the primary tumor in the primary tumor vs. liver metastasis comparison and 43 upregulated and 4 downregulated genes in the primary tumor in the primary tumor vs lymph node metastasis comparison. Several enriched terms include Ribosome biogenesis, NTP synthesis, Epithelial dedifferentiation, Autophagy, and genes associated with epithelial-to-mesenchymal transitions. CONCLUSION No single gene or pathway can clearly explain the mechanisms behind tumor metastasis. Several mechanisms contribute to lymph node and liver metastasis, such as the loss of differentiation, epithelial-to-mesenchymal transition, and autophagy. These findings necessitate further study of metastatic tissue for effective drug development.
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Affiliation(s)
- Ardo Sanjaya
- Department of Anatomy, Faculty of Medicine, Maranatha Christian University, Jl. Surya Sumantri No. 65, Bandung, 40164, West Java, Indonesia.
- Biomedical Research Laboratory, Faculty of Medicine, Maranatha Christian University, Bandung, 40164, West Java, Indonesia.
| | - Hana Ratnawati
- Biomedical Research Laboratory, Faculty of Medicine, Maranatha Christian University, Bandung, 40164, West Java, Indonesia
- Department of Histology, Faculty of Medicine, Maranatha Christian University, Bandung, 40164, West Java, Indonesia
| | - Oeij Anindita Adhika
- Department of Anatomy, Faculty of Medicine, Maranatha Christian University, Jl. Surya Sumantri No. 65, Bandung, 40164, West Java, Indonesia
| | - Faiz Rizqy Rahmatilah
- Undergraduate Program in Medicine, Faculty of Medicine, Maranatha Christian University, Bandung, 40164, West Java, Indonesia
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Ansari A, Bhattacharyya T, Das P, Chandra Y, Kundu TK, Banerjee R. Lipid-Conjugated Reduced Haloperidol in Association with Glucose-Based Nanospheres: A Strategy for Glioma Treatment. Mol Pharm 2024; 21:5053-5070. [PMID: 39302161 DOI: 10.1021/acs.molpharmaceut.4c00468] [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] [Indexed: 09/22/2024]
Abstract
Aggressive glioma exhibits a poor survival rate. Increased tumor aggression is linked to both tumor cells and tumor-associated macrophages (TAMs), which induce pro-aggression, invasion, and metastasis. Imperatively, for effective treatment, it is important to target both glioma cells and TAMs. Haloperidol, a neuropsychotic drug, avidly targets the sigma receptor (SR), which is expressed in higher levels in both the cell types. Herein, we present the development of a novel cationic lipid-conjugated reduced haloperidol (±RHPC8), which aims to mediate the SR-targeted antiglioma effect. Hypothetically, ±RHPC8 would act simultaneously as an SR-targeting ligand and anticancer agent. As the blood-brain barrier (BBB) obstructs direct targeting of in situ glioma, we used BBB-crossing glucose-based carbon nanospheres (CSPs) to deliver ±RHPC8 within the glioma tumor-bearing mouse brain. The resultant ±RHPC8-CSP nanoconjugate targeted SR-expressing glioma cells. In both orthotopic and subcutaneous mouse tumor models, ±RHPC8-CSP prolonged survival and regressed tumors compared to other treated groups. Notably, ±RHPC8-CSP was significantly taken up by SR-expressing TAMs thus resulting in macrophage polarization from M2 to M1, as exhibited by markedly reduced expression of immunosuppressive cytokines released by TAMs, including TGF-β, IL-10, and VEGF. In conclusion, the designed ±RHPC8-CSP nanoconjugate presented an effective nanodrug delivery system for brain cancer treatment.
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Affiliation(s)
- Aasia Ansari
- Department of Oils, Lipid, Science & Technology, CSIR-Indian Institute of Chemical Technology, Hyderabad 500 007, India
- Academy of Scientific and Innovative Research (AcSIR), CSIR-HRDC Campus, Ghaziabad 201002, India
| | - Tithi Bhattacharyya
- Department of Oils, Lipid, Science & Technology, CSIR-Indian Institute of Chemical Technology, Hyderabad 500 007, India
- Academy of Scientific and Innovative Research (AcSIR), CSIR-HRDC Campus, Ghaziabad 201002, India
| | - Pritam Das
- Department of Oils, Lipid, Science & Technology, CSIR-Indian Institute of Chemical Technology, Hyderabad 500 007, India
- Academy of Scientific and Innovative Research (AcSIR), CSIR-HRDC Campus, Ghaziabad 201002, India
| | - Yogesh Chandra
- Department of Applied Biology, CSIR-Indian Institute of Chemical Technology, Hyderabad 500 007, India
| | - Tapas K Kundu
- Transcription and Disease Laboratory, Molecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Jakkur P.O., Bangalore 560 064, India
| | - Rajkumar Banerjee
- Department of Oils, Lipid, Science & Technology, CSIR-Indian Institute of Chemical Technology, Hyderabad 500 007, India
- Academy of Scientific and Innovative Research (AcSIR), CSIR-HRDC Campus, Ghaziabad 201002, India
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Li J, Long S, Zhang Y, Wei W, Yu S, Liu Q, Hui X, Li X, Wang Y. Molecular mechanisms and diagnostic model of glioma-related epilepsy. NPJ Precis Oncol 2024; 8:223. [PMID: 39363097 PMCID: PMC11450052 DOI: 10.1038/s41698-024-00721-8] [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: 12/04/2023] [Accepted: 09/22/2024] [Indexed: 10/05/2024] Open
Abstract
Epilepsy is one of the most common symptoms in patients with gliomas; however, the mechanisms underlying its interaction are not yet clear. Moreover, epidemiological studies have not accurately identified patients with glioma-related epilepsy (GRE), and there is an urgent need to identify the molecular mechanisms and markers of its occurrence. We analyzed the demographics, transcriptome, whole-genome, and methylation sequences of 997 patients with glioma, to determine the genetic differences between glioma and GRE patients and to determine the upregulated molecular function, cellular composition, biological processes involved, signaling pathways, and immune cell infiltration. Twelve machine learning algorithms were refined into 113 combinatorial algorithms for building diagnostic recognition models. A total of 342 patients with GRE were identified with WHO grade 2 (174), grade 3 (107), and grade 4 (61). The mean age of the patients with GREs, with IDH mutations (n = 217 [63%]) and 1p19q non-codeletion (n = 169 [49%]), was 38 years old. GRE molecular functions were mainly passive transmembrane transporter protein activity, ion channel activity, and gated channel activity. Cellular components were enriched in the cation-channel and transmembrane transporter complexes. Cerebral cortical development regulates the membrane potential and synaptic organization as major biological processes. The signaling pathways mainly focused on cholinergic, GABAergic, and glutamatergic synapses. LASSO, combined with Random Forest, was the best diagnostic model and identified nine diagnostic genes. This study provides new insights and future perspectives for resolving the molecular mechanisms of GRE.
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Affiliation(s)
- Jinwei Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Shengrong Long
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
| | - Yang Zhang
- Department of Vascular Surgery, Fuwai Yunnan Cardiovascular Hospital, Affiliated Cardiovascular Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Wei Wei
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
| | - Shuangqi Yu
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
| | - Quan Liu
- Department of Neurosurgery, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, Guangxi, China
| | - Xuhui Hui
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xiang Li
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
| | - Yinyan Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China.
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Bai J, He M, Gao E, Yang G, Zhang C, Yang H, Dong J, Ma X, Gao Y, Zhang H, Yan X, Zhang Y, Cheng J, Zhao G. High-performance presurgical differentiation of glioblastoma and metastasis by means of multiparametric neurite orientation dispersion and density imaging (NODDI) radiomics. Eur Radiol 2024; 34:6616-6628. [PMID: 38485749 PMCID: PMC11399163 DOI: 10.1007/s00330-024-10686-8] [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: 03/19/2023] [Revised: 02/06/2024] [Accepted: 02/10/2024] [Indexed: 04/19/2024]
Abstract
OBJECTIVES To evaluate the performance of multiparametric neurite orientation dispersion and density imaging (NODDI) radiomics in distinguishing between glioblastoma (Gb) and solitary brain metastasis (SBM). MATERIALS AND METHODS In this retrospective study, NODDI images were curated from 109 patients with Gb (n = 57) or SBM (n = 52). Automatically segmented multiple volumes of interest (VOIs) encompassed the main tumor regions, including necrosis, solid tumor, and peritumoral edema. Radiomics features were extracted for each main tumor region, using three NODDI parameter maps. Radiomics models were developed based on these three NODDI parameter maps and their amalgamation to differentiate between Gb and SBM. Additionally, radiomics models were constructed based on morphological magnetic resonance imaging (MRI) and diffusion imaging (diffusion-weighted imaging [DWI]; diffusion tensor imaging [DTI]) for performance comparison. RESULTS The validation dataset results revealed that the performance of a single NODDI parameter map model was inferior to that of the combined NODDI model. In the necrotic regions, the combined NODDI radiomics model exhibited less than ideal discriminative capabilities (area under the receiver operating characteristic curve [AUC] = 0.701). For peritumoral edema regions, the combined NODDI radiomics model achieved a moderate level of discrimination (AUC = 0.820). Within the solid tumor regions, the combined NODDI radiomics model demonstrated superior performance (AUC = 0.904), surpassing the models of other VOIs. The comparison results demonstrated that the NODDI model was better than the DWI and DTI models, while those of the morphological MRI and NODDI models were similar. CONCLUSION The NODDI radiomics model showed promising performance for preoperative discrimination between Gb and SBM. CLINICAL RELEVANCE STATEMENT The NODDI radiomics model showed promising performance for preoperative discrimination between Gb and SBM, and radiomics features can be incorporated into the multidimensional phenotypic features that describe tumor heterogeneity. KEY POINTS • The neurite orientation dispersion and density imaging (NODDI) radiomics model showed promising performance for preoperative discrimination between glioblastoma and solitary brain metastasis. • Compared with other tumor volumes of interest, the NODDI radiomics model based on solid tumor regions performed best in distinguishing the two types of tumors. • The performance of the single-parameter NODDI model was inferior to that of the combined-parameter NODDI model.
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Affiliation(s)
- Jie Bai
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
- Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, Zhengzhou, 450052, China
| | - Mengyang He
- School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou, 450001, China
| | - Eryuan Gao
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
- Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, Zhengzhou, 450052, China
| | - Guang Yang
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, 200062, China
| | - Chengxiu Zhang
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, 200062, China
| | - Hongxi Yang
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, 200062, China
| | - Jie Dong
- School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China
| | - Xiaoyue Ma
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
- Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, Zhengzhou, 450052, China
| | - Yufei Gao
- School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou, 450001, China
| | - Huiting Zhang
- MR Research Collaboration, Siemens Healthineers, Wuhan, 201318, China
| | - Xu Yan
- MR Research Collaboration, Siemens Healthineers, Wuhan, 201318, China
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
- Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, Zhengzhou, 450052, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
- Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, Zhengzhou, 450052, China
| | - Guohua Zhao
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
- Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, Zhengzhou, 450052, China.
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Jagust P, Powell AM, Ola M, Watson L, de Pablos-Aragoneses A, García- Gómez P, Fallon R, Bane F, Heiland M, Morris G, Cavanagh B, McGrath J, Ottaviani D, Hegarty A, Cocchiglia S, Sweeney KJ, MacNally S, Brett FM, Cryan J, Beausang A, Morris P, Valiente M, Hill ADK, Varešlija D, Young LS. RET overexpression leads to increased brain metastatic competency in luminal breast cancer. J Natl Cancer Inst 2024; 116:1632-1644. [PMID: 38852945 PMCID: PMC11461165 DOI: 10.1093/jnci/djae091] [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: 06/15/2023] [Revised: 12/22/2023] [Accepted: 04/14/2024] [Indexed: 06/11/2024] Open
Abstract
BACKGROUND Breast cancer brain metastasis is a rising occurrence, necessitating a better understanding of the mechanisms involved for effective management. Breast cancer brain metastases diverge notably from the primary tumor, with gains in kinase and concomitant losses of steroid signaling observed. In this study, we explored the role of the kinase receptor RET in promoting breast cancer brain metastases and provide a rationale for targeting this receptor. METHODS RET expression was characterized in a cohort of patients with primary and brain metastatic tumors. RET functionality was assessed using pharmacological inhibition and gene silencing in patient-derived brain metastatic tumor explants and in vivo models, organoid models, and brain organotypic cultures. RNA sequencing was used to uncover novel brain metastatic relevant RET mechanisms of action. RESULTS A statistically significant enrichment of RET in brain metastases was observed in estrogen receptor-positive breast cancer, where it played a role in promoting cancer cell adhesion, survival, and outgrowth in the brain. In vivo, RET overexpression enhanced brain metastatic competency in patient-derived models. At a mechanistic level, RET overexpression was found to enhance the activation of gene programs involved in cell adhesion, requiring EGFR cooperation to deliver a pro-brain metastatic phenotype. CONCLUSION Our results illustrate, for the first time, the role of RET in regulating colonization and outgrowth of breast cancer brain metastasis and provide data to support the use of RET inhibitors in the management strategy for patients with breast cancer brain metastases.
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Affiliation(s)
- Petra Jagust
- Department of Surgery, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Aoibhin M Powell
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Mihaela Ola
- Department of Surgery, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Louise Watson
- Department of Surgery, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | | | | | - Ramón Fallon
- Department of Surgery, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Fiona Bane
- Department of Surgery, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Mona Heiland
- Department of Physiology and Medical Physics, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Gareth Morris
- Department of Physiology and Medical Physics, RCSI University of Medicine and Health Sciences, Dublin, Ireland
- Department of Neuroscience, Physiology and Pharmacology, University College London, London, UK
| | - Brenton Cavanagh
- Cellular and Molecular Imaging Core, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Jason McGrath
- Department of Surgery, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Daniela Ottaviani
- Department of Surgery, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Aisling Hegarty
- Department of Surgery, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Sinéad Cocchiglia
- Department of Surgery, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Kieron J Sweeney
- National Centre of Neurosurgery, Beaumont Hospital, Dublin, Ireland
| | - Stephen MacNally
- National Centre of Neurosurgery, Beaumont Hospital, Dublin, Ireland
| | | | - Jane Cryan
- Department of Neuropathology, National Centre of Neurosurgery, Beaumont Hospital, Dublin, Ireland
| | - Alan Beausang
- Department of Neuropathology, National Centre of Neurosurgery, Beaumont Hospital, Dublin, Ireland
| | - Patrick Morris
- Beaumont RCSI Cancer Centre, Beaumont Hospital, Dublin, Ireland
| | | | - Arnold D K Hill
- Department of Surgery, RCSI University of Medicine and Health Sciences, 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
| | - Leonie S Young
- Department of Surgery, RCSI University of Medicine and Health Sciences, Dublin, Ireland
- Beaumont RCSI Cancer Centre, Beaumont Hospital, Dublin, Ireland
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9
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Möhn N, Hounchonou HF, Nay S, Schwenkenbecher P, Grote-Levi L, Al-Tarawni F, Esmailezadeh M, Schuchardt S, Schwabe K, Hildebrandt H, Thiesler H, Feuerhake F, Hartmann C, Skripuletz T, Krauss JK. Metabolomic profile of cerebrospinal fluid from patients with diffuse gliomas. J Neurol 2024; 271:6970-6982. [PMID: 39227460 PMCID: PMC11446983 DOI: 10.1007/s00415-024-12667-9] [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: 06/12/2024] [Revised: 08/22/2024] [Accepted: 08/26/2024] [Indexed: 09/05/2024]
Abstract
BACKGROUND Diffuse gliomas are among the most common brain tumors in adults and are associated with a dismal prognosis, especially in patients with glioblastoma. To date, tumor tissue acquisition is mandatory for conclusive diagnosis and therapeutic decision-making. In this study, we aimed to identify possible diagnostic and prognostic biomarkers in cerebrospinal fluid (CSF) and blood. METHODS During glioma surgery at our institution, CSF and blood samples were collected from patients. Subsequently, targeted metabolomics analysis was used to detect and quantify circulating metabolites. The metabolome profiles of glioma patients were compared with those of patients in a control group who had undergone neurosurgery for other entities, such as nonglial tumors or hydrocephalus, and were correlated with established glioma diagnostic molecular markers. RESULTS In this study, a total of 30 glioma patients were included, along with a control group of 21 patients without glioma. Serum metabolomic analysis did not detect any significant differences between the groups, whereas CSF-metabolome analysis revealed increased levels of six metabolites in glioma patients. Among these, the most pronounced differences were found for the biogenic amine putrescine (p = 0.00005). p-Cresol sulfate was identified as a potential CSF marker for determining isocitrate dehydrogenase (IDH) status in glioma patients (p = 0.0037). CONCLUSION CSF-metabolome profiling, unlike blood profiling, shows promise as a diagnostic tool for glioma patients with the potential to assign molecular subtypes. The next step will involve a larger multicenter study to validate these findings, with the ultimate objective of integrating CSF metabolomics analysis into clinical practice.
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Affiliation(s)
- Nora Möhn
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany
| | | | - Sandra Nay
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany
| | - Philipp Schwenkenbecher
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany
| | - Lea Grote-Levi
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany
| | - Fadi Al-Tarawni
- Department of Neurosurgery, Hannover Medical School, Hannover, Germany
| | | | - Sven Schuchardt
- Fraunhofer Institute of Toxicology and Experimental Medicine, Hannover, Germany
| | - Kerstin Schwabe
- Department of Neurosurgery, Hannover Medical School, Hannover, Germany
| | - Herbert Hildebrandt
- Institute of Clinical Biochemistry, Hannover Medical School, Hannover, Germany
| | - Hauke Thiesler
- Institute of Clinical Biochemistry, Hannover Medical School, Hannover, Germany
| | - Friedrich Feuerhake
- Department of Neuropathology, Institute of Pathology, Hannover Medical School, Hannover, Germany
| | - Christian Hartmann
- Department of Neuropathology, Institute of Pathology, Hannover Medical School, Hannover, Germany
| | - Thomas Skripuletz
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany.
| | - Joachim K Krauss
- Department of Neurosurgery, Hannover Medical School, Hannover, Germany
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10
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Lu J, Huo W, Ma Y, Wang X, Yu J. Suppressive immune microenvironment and CART therapy for glioblastoma: Future prospects and challenges. Cancer Lett 2024; 600:217185. [PMID: 39142498 DOI: 10.1016/j.canlet.2024.217185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 08/08/2024] [Accepted: 08/09/2024] [Indexed: 08/16/2024]
Abstract
Glioblastoma, a highly malignant intracranial tumor, has acquired slow progress in treatment. Previous clinical trials involving targeted therapy and immune checkpoint inhibitors have shown no significant benefits in treating glioblastoma. This ineffectiveness is largely due to the complex immunosuppressive environment of glioblastoma. Glioblastoma cells exhibit low immunogenicity and strong heterogeneity and the immune microenvironment is replete with inhibitory cytokines, numerous immunosuppressive cells, and insufficient effective T cells. Fortunately, recent Phase I clinical trials of CART therapy for glioblastoma have confirmed its safety, with a small subset of patients achieving survival benefits. However, CART therapy continues to face challenges, including blood-brain barrier obstruction, antigen loss, and an immunosuppressive tumor microenvironment (TME). This article provides a detailed examination of glioblastoma's immune microenvironment, both from intrinsic and extrinsic tumor cell factors, reviews current clinical and basic research on multi-targets CART treatment, and concludes by outlining the key challenges in using CART cells for glioblastoma therapy.
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Affiliation(s)
- Jie Lu
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong First Medical University and Shandong Academy of Medical Sciences, Shandong Cancer Hospital and Institute, Jinan, Shandong, China
| | - Wen Huo
- Department of Radiation Oncology, Affiliated Tumor Hospital of Xinjiang Medical University, China
| | - Yingze Ma
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong First Medical University and Shandong Academy of Medical Sciences, Shandong Cancer Hospital and Institute, Jinan, Shandong, China; Department of Radiation Oncology, Shandong University Cancer Center, Jinan, Shandong, China
| | - Xin Wang
- Department of Radiation Oncology, Shandong First Medical University and Shandong Academy of Medical Sciences, Shandong Cancer Hospital and Institute, Jinan, Shandong, China.
| | - Jinming Yu
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong First Medical University and Shandong Academy of Medical Sciences, Shandong Cancer Hospital and Institute, Jinan, Shandong, China; Research Unit of Radiation Oncology, Chinese Academy of Medical Sciences, Jinan, Shandong, China.
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11
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Hofstätter Azambuja J, Yerneni SS, Maurer LM, Crentsil HE, Debom GN, Klei L, Smyers M, Sneiderman CT, Schwab KE, Acharya R, Lin Wu Y, Ekambaram P, Hu D, Gough PJ, Bertin J, Melnick A, Kohanbash G, Bao R, Lucas PC, McAllister-Lucas LM. MALT1 protease inhibition restrains glioblastoma progression by reversing tumor-associated macrophage-dependent immunosuppression. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.26.614808. [PMID: 39386586 PMCID: PMC11463364 DOI: 10.1101/2024.09.26.614808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/12/2024]
Abstract
MALT1 protease is an intracellular signaling molecule that promotes tumor progression via cancer cell-intrinsic and cancer cell-extrinsic mechanisms. MALT1 has been mostly studied in lymphocytes, and little is known about its role in tumor-associated macrophages. Here, we show that MALT1 plays a key role in glioblastoma (GBM)-associated macrophages. Mechanistically, GBM tumor cells induce a MALT1-NF-κB signaling axis within macrophages, leading to macrophage migration and polarization toward an immunosuppressive phenotype. Inactivation of MALT1 protease promotes transcriptional reprogramming that reduces migration and restores a macrophage "M1-like" phenotype. Preclinical in vivo analysis shows that MALT1 inhibitor treatment results in increased immuno-reactivity of GBM-associated macrophages and reduced GBM tumor growth. Further, the addition of MALT1 inhibitor to temozolomide reduces immunosuppression in the tumor microenvironment, which may enhance the efficacy of this standard-of-care chemotherapeutic. Together, our findings suggest that MALT1 protease inhibition represents a promising macrophage-targeted immunotherapeutic strategy for the treatment of GBM. Graphical abstract
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12
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Daugherty-Lopès A, Pérez-Guijarro E, Gopalan V, Rappaport J, Chen Q, Huang A, Lam KC, Chin S, Ebersole J, Wu E, Needle GA, Church I, Kyriakopoulos G, Xie S, Zhao Y, Gruen C, Sassano A, Araya RE, Thorkelsson A, Smith C, Lee MP, Hannenhalli S, Day CP, Merlino G, Goldszmid RS. IMMUNE AND MOLECULAR CORRELATES OF RESPONSE TO IMMUNOTHERAPY REVEALED BY BRAIN-METASTATIC MELANOMA MODELS. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.26.609785. [PMID: 39372744 PMCID: PMC11451731 DOI: 10.1101/2024.08.26.609785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/08/2024]
Abstract
Despite promising results with immune checkpoint blockade (ICB) therapy, outcomes for patients with brain metastasis (BrM) remain poor. Identifying resistance determinants has been hindered by limited access to patient samples and relevant preclinical models. Here, we developed two mouse melanoma BrM models that reflect the disparate responses to ICB observed in patients. We demonstrate that these models recapitulate the cellular and molecular features of human disease and identify key factors contributing to ICB response. Responsive tumor cells (BR1) expressed inflammatory programs that polarized microglia toward reactive states, characterized by upregulation of MHC-I/-II and immunostimulatory molecules, eliciting robust T cell recruitment. Conversely, resistant melanoma cells (BR3) maintained microglia homeostasis, resulting in poor T cell infiltration. BR1 and BR3 expression signatures correlated positively or negatively with T cell infiltration and BrM patient outcomes, respectively. Our study addresses an unmet need by providing clinically relevant models and uncovering mechanistic insights into BrM ICB responses, identifying potential biomarkers and therapeutic targets.
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13
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Gong D, Arbesfeld-Qiu JM, Perrault E, Bae JW, Hwang WL. Spatial oncology: Translating contextual biology to the clinic. Cancer Cell 2024:S1535-6108(24)00349-0. [PMID: 39366372 DOI: 10.1016/j.ccell.2024.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 08/01/2024] [Accepted: 09/06/2024] [Indexed: 10/06/2024]
Abstract
Microscopic examination of cells in their tissue context has been the driving force behind diagnostic histopathology over the past two centuries. Recently, the rise of advanced molecular biomarkers identified through single cell profiling has increased our understanding of cellular heterogeneity in cancer but have yet to significantly impact clinical care. Spatial technologies integrating molecular profiling with microenvironmental features are poised to bridge this translational gap by providing critical in situ context for understanding cellular interactions and organization. Here, we review how spatial tools have been used to study tumor ecosystems and their clinical applications. We detail findings in cell-cell interactions, microenvironment composition, and tissue remodeling for immune evasion and therapeutic resistance. Additionally, we highlight the emerging role of multi-omic spatial profiling for characterizing clinically relevant features including perineural invasion, tertiary lymphoid structures, and the tumor-stroma interface. Finally, we explore strategies for clinical integration and their augmentation of therapeutic and diagnostic approaches.
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Affiliation(s)
- Dennis Gong
- Center for Systems Biology, Department of Radiation Oncology, Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jeanna M Arbesfeld-Qiu
- Center for Systems Biology, Department of Radiation Oncology, Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard University, Graduate School of Arts and Sciences, Cambridge, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Ella Perrault
- Center for Systems Biology, Department of Radiation Oncology, Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard University, Graduate School of Arts and Sciences, Cambridge, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Jung Woo Bae
- Center for Systems Biology, Department of Radiation Oncology, Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - William L Hwang
- Center for Systems Biology, Department of Radiation Oncology, Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard University, Graduate School of Arts and Sciences, Cambridge, MA, USA; Harvard Medical School, Boston, MA, USA.
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14
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Kloosterman DJ, Erbani J, Boon M, Farber M, Handgraaf SM, Ando-Kuri M, Sánchez-López E, Fontein B, Mertz M, Nieuwland M, Liu NQ, Forn-Cuni G, van der Wel NN, Grootemaat AE, Reinalda L, van Kasteren SI, de Wit E, Ruffell B, Snaar-Jagalska E, Petrecca K, Brandsma D, Kros A, Giera M, Akkari L. Macrophage-mediated myelin recycling fuels brain cancer malignancy. Cell 2024; 187:5336-5356.e30. [PMID: 39137777 PMCID: PMC11429458 DOI: 10.1016/j.cell.2024.07.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 04/26/2024] [Accepted: 07/18/2024] [Indexed: 08/15/2024]
Abstract
Tumors growing in metabolically challenged environments, such as glioblastoma in the brain, are particularly reliant on crosstalk with their tumor microenvironment (TME) to satisfy their high energetic needs. To study the intricacies of this metabolic interplay, we interrogated the heterogeneity of the glioblastoma TME using single-cell and multi-omics analyses and identified metabolically rewired tumor-associated macrophage (TAM) subpopulations with pro-tumorigenic properties. These TAM subsets, termed lipid-laden macrophages (LLMs) to reflect their cholesterol accumulation, are epigenetically rewired, display immunosuppressive features, and are enriched in the aggressive mesenchymal glioblastoma subtype. Engulfment of cholesterol-rich myelin debris endows subsets of TAMs to acquire an LLM phenotype. Subsequently, LLMs directly transfer myelin-derived lipids to cancer cells in an LXR/Abca1-dependent manner, thereby fueling the heightened metabolic demands of mesenchymal glioblastoma. Our work provides an in-depth understanding of the immune-metabolic interplay during glioblastoma progression, thereby laying a framework to unveil targetable metabolic vulnerabilities in glioblastoma.
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Affiliation(s)
- Daan J Kloosterman
- Division of Tumour Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, 1066CX Amsterdam, the Netherlands
| | - Johanna Erbani
- Division of Tumour Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, 1066CX Amsterdam, the Netherlands
| | - Menno Boon
- Division of Tumour Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, 1066CX Amsterdam, the Netherlands
| | - Martina Farber
- Division of Tumour Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, 1066CX Amsterdam, the Netherlands
| | - Shanna M Handgraaf
- Division of Tumour Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, 1066CX Amsterdam, the Netherlands
| | - Masami Ando-Kuri
- Division of Tumour Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, 1066CX Amsterdam, the Netherlands
| | - Elena Sánchez-López
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands
| | - Bauke Fontein
- Division of Tumour Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, 1066CX Amsterdam, the Netherlands
| | - Marjolijn Mertz
- Bioimaging Facility, Netherlands Cancer Institute, 1066CX Amsterdam, the Netherlands
| | - Marja Nieuwland
- Genomics Core Facility, Netherlands Cancer Institute, 1066CX Amsterdam, the Netherlands
| | - Ning Qing Liu
- Department of Hematology, Erasmus Medical Center Cancer Institute, Rotterdam, the Netherlands
| | - Gabriel Forn-Cuni
- Institute of Biology Leiden, Leiden University, Leiden, the Netherlands
| | - Nicole N van der Wel
- Electron Microscopy Centre Amsterdam, Medical Biology, Amsterdam University Medical Centre, Amsterdam, the Netherlands
| | - Anita E Grootemaat
- Electron Microscopy Centre Amsterdam, Medical Biology, Amsterdam University Medical Centre, Amsterdam, the Netherlands
| | - Luuk Reinalda
- The Institute of Chemical Immunology, Leiden Institute of Chemistry, Leiden University, Leiden, the Netherlands
| | - Sander I van Kasteren
- The Institute of Chemical Immunology, Leiden Institute of Chemistry, Leiden University, Leiden, the Netherlands
| | - Elzo de Wit
- Division of Gene Regulation, The Netherlands Cancer Institute, 1066CX Amsterdam, the Netherlands
| | - Brian Ruffell
- Department of Immunology, Department of Breast Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | | | - Kevin Petrecca
- Montreal Neurological Institute-Hospital, McGill University Health Centre and Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Dieta Brandsma
- Department of Neuro-Oncology, Netherlands Cancer Institute-Antoni van Leeuwenhoek, 1066CX Amsterdam, the Netherlands
| | - Alexander Kros
- Leiden Institute of Chemistry, Leiden University, Leiden, the Netherlands
| | - Martin Giera
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands
| | - Leila Akkari
- Division of Tumour Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, 1066CX Amsterdam, the Netherlands.
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15
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Wen J, Liu D, Zhu H, Shu K. Microenvironmental regulation of tumor-associated neutrophils in malignant glioma: from mechanism to therapy. J Neuroinflammation 2024; 21:226. [PMID: 39285276 PMCID: PMC11406851 DOI: 10.1186/s12974-024-03222-4] [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: 05/17/2024] [Accepted: 09/03/2024] [Indexed: 09/19/2024] Open
Abstract
Glioma is the most common primary intracranial tumor in adults, with high incidence, recurrence, and mortality rates. Tumor-associated neutrophils (TANs) are essential components of the tumor microenvironment (TME) in glioma and play a crucial role in glioma cell proliferation, invasion and proneural-mesenchymal transition. Besides the interactions between TANs and tumor cells, the multi-dimensional crosstalk between TANs and other components within TME have been reported to participate in glioma progression. More importantly, several therapies targeting TANs have been developed and relevant preclinical and clinical studies have been conducted in cancer therapy. In this review, we introduce the origin of TANs and the functions of TANs in malignant behaviors of glioma, highlighting the microenvironmental regulation of TANs. Moreover, we focus on summarizing the TANs-targeted methods in cancer therapy, aiming to provide insights into the mechanisms and therapeutic opportunities of TANs in the malignant glioma microenvironment.
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Affiliation(s)
- Jiayi Wen
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, 430030, China
| | - Dan Liu
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongtao Zhu
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, 430030, China.
| | - Kai Shu
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, 430030, China.
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16
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Snacel-Fazy E, Soubéran A, Grange M, Joseph K, Colin C, Morando P, Luche H, Pagano A, Brustlein S, Debarbieux F, Toutain S, Siret C, van de Pavert SA, Rougon G, Figarella-Branger D, Ravi VM, Tabouret E, Tchoghandjian A. SMAC mimetic drives microglia phenotype and glioblastoma immune microenvironment. Cell Death Dis 2024; 15:676. [PMID: 39278921 PMCID: PMC11402972 DOI: 10.1038/s41419-024-07056-z] [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: 12/22/2023] [Revised: 09/02/2024] [Accepted: 09/04/2024] [Indexed: 09/18/2024]
Abstract
Tumor-associated macrophages/microglia (TAMs) are highly plastic and heterogeneous immune cells that can be immune-supportive or tumor-supportive depending of the microenvironment. TAMs are the most abundant immune cells in glioblastoma (GB), and play a key role in immunosuppression. Therefore, TAMs reprogramming toward immune-supportive cells is a promising strategy to overcome immunosuppression. By leveraging scRNAseq human GB databases, we identified that Inhibitor of Apoptosis Proteins (IAP) were expressed by TAMs. To investigate their role in TAMs-related immunosuppression, we antagonized IAP using the central nervous system permeant SMAC mimetic GDC-0152 (SMg). On explants and cultured immune cells isolated from human GB samples, SMg modified TAMs activity. We showed that SMg treatment promoted microglia pro-apoptotic and anti-tumoral function via caspase-3 pro-inflammatory cleavage and the inhibition of tumoroids growth. Then we designed a relevant immunogenic mouse GB model to decipher the spatio-temporal densities, distribution, phenotypes and function of TAMs with or without SMg treatment. We used 3D imaging techniques, a transgenic mouse with fluorescent TAM subsets and mass cytometry. We confirmed that SMg promoted microglia activation, antigen-presenting function and tumor infiltration. In addition, we observed a remodeling of blood vessels, a decrease in anti-inflammatory macrophages and an increased level of monocytes and their mo-DC progeny. This remodeling of the TAM landscape is associated with an increase in CD8 T cell density and activation. Altogether, these results demonstrated that SMg drives the immunosuppressive basal microglia toward an active phenotype with pro-apoptotic and anti-tumoral function and modifies the GB immune landscape. This identifies IAP as targets of choice for a potential mechanism-based therapeutic strategy and SMg as a promising molecule for this application.
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Affiliation(s)
- Emmanuel Snacel-Fazy
- Aix-Marseille Univ, CNRS, INP, Inst Neurophysiopathol, GlioME Team, Marseille, France
- Aix-Marseille Univ, Réseau Préclinique et Translationnel de Recherche en Neuro-Oncologie, Plateforme PETRA"TECH", Marseille, France
| | - Aurélie Soubéran
- Aix-Marseille Univ, CNRS, INP, Inst Neurophysiopathol, GlioME Team, Marseille, France
- Aix-Marseille Univ, Réseau Préclinique et Translationnel de Recherche en Neuro-Oncologie, Plateforme PETRA"TECH", Marseille, France
- APHM, CHU Timone, Service de Neurooncologie, Marseille, France
| | - Magali Grange
- Centre d'Immunophénomique (CIPHE), Aix Marseille Université, Inserm, CNRS, Marseille, France
| | - Kevin Joseph
- Department of Neurosurgery, Medical Center, University of Freiburg, Freiburg, Germany
- 3D-Brain Models for Neurodegenerative Diseases, Medical Center, University of Freiburg, Freiburg, Germany
- Center of Advanced Surgical Tissue Analysis (CAST), University of Freiburg, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Carole Colin
- Aix-Marseille Univ, CNRS, INP, Inst Neurophysiopathol, GlioME Team, Marseille, France
- Aix-Marseille Univ, Réseau Préclinique et Translationnel de Recherche en Neuro-Oncologie, Plateforme PETRA"TECH", Marseille, France
| | - Philippe Morando
- Aix-Marseille Univ, CNRS, INP, Inst Neurophysiopathol, GlioME Team, Marseille, France
- Aix-Marseille Univ, Réseau Préclinique et Translationnel de Recherche en Neuro-Oncologie, Plateforme PETRA"TECH", Marseille, France
| | - Hervé Luche
- Centre d'Immunophénomique (CIPHE), Aix Marseille Université, Inserm, CNRS, Marseille, France
| | - Alessandra Pagano
- Aix-Marseille Univ, CNRS, INP, Inst Neurophysiopathol, GlioME Team, Marseille, France
| | - Sophie Brustlein
- Aix-Marseille Univ, INSERM, INMED, Turing Center for Living System, Marseille, France
| | - Franck Debarbieux
- Aix-Marseille Univ, CNRS, INT, Institut de Neurosciences de la Timone, Marseille, France
| | - Soline Toutain
- Aix-Marseille Univ, CNRS, INP, Inst Neurophysiopathol, GlioME Team, Marseille, France
- Aix-Marseille Univ, Réseau Préclinique et Translationnel de Recherche en Neuro-Oncologie, Plateforme PETRA"TECH", Marseille, France
| | - Carole Siret
- Aix-Marseille Univ, CNRS, INSERM, CIML, Centre d'Immunologie de Marseille-Luminy, Marseille, France
| | - Serge A van de Pavert
- Aix-Marseille Univ, CNRS, INSERM, CIML, Centre d'Immunologie de Marseille-Luminy, Marseille, France
| | - Geneviève Rougon
- Aix-Marseille Univ, CNRS, INT, Institut de Neurosciences de la Timone, Marseille, France
| | | | - Vidhya Madapusi Ravi
- Department of Neurosurgery, Medical Center, University of Freiburg, Freiburg, Germany
- 3D-Brain Models for Neurodegenerative Diseases, Medical Center, University of Freiburg, Freiburg, Germany
- Center of Advanced Surgical Tissue Analysis (CAST), University of Freiburg, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Emeline Tabouret
- Aix-Marseille Univ, CNRS, INP, Inst Neurophysiopathol, GlioME Team, Marseille, France
- APHM, CHU Timone, Service de Neurooncologie, Marseille, France
- Aix-Marseille Univ, Réseau Préclinique et Translationnel de Recherche en Neuro-Oncologie, Plateforme PE"TRANSLA", Marseille, France
| | - Aurélie Tchoghandjian
- Aix-Marseille Univ, CNRS, INP, Inst Neurophysiopathol, GlioME Team, Marseille, France.
- Aix-Marseille Univ, Réseau Préclinique et Translationnel de Recherche en Neuro-Oncologie, Plateforme PETRA"TECH", Marseille, France.
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17
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Boon M, Akkari L. Architecture sets the path: Breast cancer subtypes differently shape the early brain metastatic niche. Cancer Cell 2024:S1535-6108(24)00320-9. [PMID: 39332398 DOI: 10.1016/j.ccell.2024.08.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2024] [Revised: 08/28/2024] [Accepted: 08/29/2024] [Indexed: 09/29/2024]
Abstract
The ability of disseminated cancer cells to colonize the brain is highly dependent on initial survival cues, often evoking early microenvironmental adaptations. In this issue of Cancer Cell, Gan et al. unveil disparate tumor architectures in early stage HER2+ breast cancer and triple-negative breast cancer brain metastases that shape stromal interactions, providing a rationale for subtype-dependent patient stratification.
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Affiliation(s)
- Menno Boon
- Division of Tumour Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Leila Akkari
- Division of Tumour Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands.
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18
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Gan S, Macalinao DG, Shahoei SH, Tian L, Jin X, Basnet H, Bibby C, Muller JT, Atri P, Seffar E, Chatila W, Karacay A, Chanda P, Hadjantonakis AK, Schultz N, Brogi E, Bale TA, Moss NS, Murali R, Pe'er D, Massagué J. Distinct tumor architectures and microenvironments for the initiation of breast cancer metastasis in the brain. Cancer Cell 2024:S1535-6108(24)00314-3. [PMID: 39270646 DOI: 10.1016/j.ccell.2024.08.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 12/15/2023] [Accepted: 08/20/2024] [Indexed: 09/15/2024]
Abstract
Brain metastasis, a serious complication of cancer, hinges on the initial survival, microenvironment adaptation, and outgrowth of disseminated cancer cells. To understand the early stages of brain colonization, we investigated two prevalent sources of cerebral relapse, triple-negative (TNBC) and HER2+ (HER2BC) breast cancers. Using mouse models and human tissue samples, we found that these tumor types colonize the brain, with a preference for distinctive tumor architectures, stromal interfaces, and autocrine programs. TNBC models tend to form perivascular sheaths with diffusive contact with astrocytes and microglia. In contrast, HER2BC models tend to form compact spheroids driven by autonomous tenascin C production, segregating stromal cells to the periphery. Single-cell transcriptomics of the tumor microenvironment revealed that these architectures evoke differential Alzheimer's disease-associated microglia (DAM) responses and engagement of the GAS6 receptor AXL. The spatial features of the two modes of brain colonization have relevance for leveraging the stroma to treat brain metastasis.
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Affiliation(s)
- Siting Gan
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Danilo G Macalinao
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Sayyed Hamed Shahoei
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Lin Tian
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Xin Jin
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang Province 310024, China; Research Center for Industries of the Future, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province 310024, China
| | - Harihar Basnet
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Catherine Bibby
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - James T Muller
- Developmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Pranita Atri
- Computational Oncology Service, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Evan Seffar
- Computational Oncology Service, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Walid Chatila
- Computational Oncology Service, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Ali Karacay
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Pharto Chanda
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Anna-Katerina Hadjantonakis
- Developmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Nikolaus Schultz
- Computational Oncology Service, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Edi Brogi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Tejus A Bale
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Nelson S Moss
- Department of Neurological Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Rajmohan Murali
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Dana Pe'er
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Howard Hughes Medical Institute, New York, NY 10065, USA
| | - Joan Massagué
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
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19
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Huang H, Long Z, Deng Y, Huang Z, Lv Z, Sun Q, Liu H, Liang H, Hu F. Alterations in Astrocyte Subpopulations in Glioma and Identification of Cuproptosis-Related Genes Using Single-Cell RNA Sequencing. J Inflamm Res 2024; 17:6329-6344. [PMID: 39281776 PMCID: PMC11402359 DOI: 10.2147/jir.s473932] [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: 04/15/2024] [Accepted: 08/31/2024] [Indexed: 09/18/2024] Open
Abstract
Purpose Mitochondrial metabolism is essential for energy production and the survival of brain cells, particularly in astrocytes. Cuproptosis is a newly identified form of programmed cell death that occurs due to the disruption of mitochondrial metabolism caused by excessive copper toxicity. However, the relationship between cuproptosis-related genes (CRGs) in the tumor microenvironment (TME) and the prognosis of gliomas remains unclear. Patients and Methods In this study, we utilized 32,293 cells obtained from three in-house single-cell RNA sequencing (scRNA-seq) datasets, along with 6,148 cells acquired from the Chinese Glioma Genome Atlas (CGGA) involving 14 glioma patients, to identify and validate the TME of gliomas. Results Based on an analysis of 32,293 single cells, we investigated intra-tumor heterogeneity, intercellular communication, and astrocyte differentiation trajectories in gliomas. Our findings revealed that the TGFβ signaling pathway exhibited a higher relative strength in astrocyte subpopulations. Additionally, we identified a novel three-gene signature (CDKN2A, SOX2, and MPC1) was identified for prognostic prediction. Furthermore, glioma patients with a high-risk score demonstrated poorer overall survival (OS) compared to those with a low-risk score in both training and testing datasets (P training set < 0.001; P test set = 0.037). Conclusion Our study revealed the prognostic value of the CRGs in astrocytes exhibiting tumor immunosuppressive characteristics in glioma. We established a novel three-gene prognostic model that offers new insights into the prognosis and treatment strategies for gliomas.
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Affiliation(s)
- Hao Huang
- Department of Preventive Medicine, Zhuhai Campus of Zunyi Medical University, Zhuhai, Guangdong, People's Republic of China
| | - Zhiping Long
- Department of Epidemiology, Public Health School of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China
| | - Ying Deng
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, People's Republic of China
| | - Zhicong Huang
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, People's Republic of China
| | - Zhonghua Lv
- Department of Neurosurgery, Third Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China
| | - Qian Sun
- Department of Neurosurgery, Third Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China
| | - Hui Liu
- Department of Neurosurgery, Third Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China
| | - Hongsheng Liang
- Department of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China
| | - Fulan Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Medical School, Shenzhen, Guangdong, People's Republic of China
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20
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Keane L, Cryan JF, Gleeson JP. Exploiting the gut microbiome for brain tumour treatment. Trends Mol Med 2024:S1471-4914(24)00222-3. [PMID: 39256110 DOI: 10.1016/j.molmed.2024.08.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Revised: 08/13/2024] [Accepted: 08/14/2024] [Indexed: 09/12/2024]
Abstract
Increasing evidence suggests that the gut microbiome plays a key role in a host of pathological conditions, including cancer. Indeed, the bidirectional communication that occurs between the gut and the brain, known as the 'gut-brain axis,' has recently been implicated in brain tumour pathology. Here, we focus on current research that supports a gut microbiome-brain tumour link with emphasis on high-grade gliomas, the most aggressive of all brain tumours, and the impact on the glioma tumour microenvironment. We discuss the potential use of gut-brain axis signals to improve responses to current and future therapeutic approaches. We highlight that the success of novel treatment strategies may rely on patient-specific microbiome profiles, and these should be considered for personalised treatment approaches.
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Affiliation(s)
- Lily Keane
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland.
| | - John F Cryan
- APC Microbiome Ireland, University College Cork, Cork, Ireland; Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland
| | - Jack P Gleeson
- Cancer Research@UCC, College of Medicine and Health, University College Cork, Cork, Ireland; CUH/UCC Cancer Centre, Cork University Hospital, Cork, Ireland.
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21
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Watson SS, Zomer A, Fournier N, Lourenco J, Quadroni M, Chryplewicz A, Nassiri S, Aubel P, Avanthay S, Croci D, Abels E, Broekman MLD, Hanahan D, Huse JT, Daniel RT, Hegi ME, Homicsko K, Cossu G, Hottinger AF, Joyce JA. Fibrotic response to anti-CSF-1R therapy potentiates glioblastoma recurrence. Cancer Cell 2024; 42:1507-1527.e11. [PMID: 39255775 DOI: 10.1016/j.ccell.2024.08.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 06/06/2024] [Accepted: 08/12/2024] [Indexed: 09/12/2024]
Abstract
Glioblastoma recurrence is currently inevitable despite extensive standard-of-care treatment. In preclinical studies, an alternative strategy of targeting tumor-associated macrophages and microglia through CSF-1R inhibition was previously found to regress established tumors and significantly increase overall survival. However, recurrences developed in ∼50% of mice in long-term studies, which were consistently associated with fibrotic scars. This fibrotic response is observed following multiple anti-glioma therapies in different preclinical models herein and in patient recurrence samples. Multi-omics analyses of the post-treatment tumor microenvironment identified fibrotic areas as pro-tumor survival niches that encapsulated surviving glioma cells, promoted dormancy, and inhibited immune surveillance. The fibrotic treatment response was mediated by perivascular-derived fibroblast-like cells via activation by transforming growth factor β (TGF-β) signaling and neuroinflammation. Concordantly, combinatorial inhibition of these pathways inhibited treatment-associated fibrosis, and significantly improved survival in preclinical trials of anti-colony-stimulating factor-1 receptor (CSF-1R) therapy.
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Affiliation(s)
- Spencer S Watson
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Research Center Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Centre, University Hospital Lausanne, 1011 Lausanne, Switzerland; Lundin Brain Tumour Centre, University Hospital Lausanne, 1011 Lausanne, Switzerland
| | - Anoek Zomer
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Research Center Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Centre, University Hospital Lausanne, 1011 Lausanne, Switzerland
| | - Nadine Fournier
- Agora Cancer Centre, University Hospital Lausanne, 1011 Lausanne, Switzerland; Translational Data Science Facility, SIB Swiss Institute of Bioinformatics, Agora Cancer Research Center Lausanne, 1011 Lausanne, Switzerland
| | - Joao Lourenco
- Agora Cancer Centre, University Hospital Lausanne, 1011 Lausanne, Switzerland; Translational Data Science Facility, SIB Swiss Institute of Bioinformatics, Agora Cancer Research Center Lausanne, 1011 Lausanne, Switzerland
| | - Manfredo Quadroni
- Proteomics Core Facility, University of Lausanne, 1011 Lausanne, Switzerland
| | - Agnieszka Chryplewicz
- Agora Cancer Centre, University Hospital Lausanne, 1011 Lausanne, Switzerland; Swiss Institute for Experimental Cancer Research (ISREC), School of Life Sciences, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland
| | - Sina Nassiri
- Agora Cancer Centre, University Hospital Lausanne, 1011 Lausanne, Switzerland; Translational Data Science Facility, SIB Swiss Institute of Bioinformatics, Agora Cancer Research Center Lausanne, 1011 Lausanne, Switzerland
| | - Pauline Aubel
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Research Center Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Centre, University Hospital Lausanne, 1011 Lausanne, Switzerland; Lundin Brain Tumour Centre, University Hospital Lausanne, 1011 Lausanne, Switzerland
| | - Simona Avanthay
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Research Center Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Centre, University Hospital Lausanne, 1011 Lausanne, Switzerland
| | - Davide Croci
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Research Center Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Centre, University Hospital Lausanne, 1011 Lausanne, Switzerland
| | - Erik Abels
- Department of Neurosurgery, Department of Cell and Chemical Biology, Leiden University Medical Center, 2300 RC Leiden, the Netherlands; Department of Neurosurgery, Haaglanden Medical Center, 2597 The Hague, the Netherlands
| | - Marike L D Broekman
- Department of Neurosurgery, Department of Cell and Chemical Biology, Leiden University Medical Center, 2300 RC Leiden, the Netherlands; Department of Neurosurgery, Haaglanden Medical Center, 2597 The Hague, the Netherlands
| | - Douglas Hanahan
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Research Center Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Centre, University Hospital Lausanne, 1011 Lausanne, Switzerland; Swiss Institute for Experimental Cancer Research (ISREC), School of Life Sciences, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland; Swiss Cancer Center Leman (SCCL), Lausanne, Geneva, Switzerland
| | - Jason T Huse
- Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Roy T Daniel
- Lundin Brain Tumour Centre, University Hospital Lausanne, 1011 Lausanne, Switzerland; Department of Neurosurgery, University Hospital of Lausanne, 1011 Lausanne, Switzerland
| | - Monika E Hegi
- Lundin Brain Tumour Centre, University Hospital Lausanne, 1011 Lausanne, Switzerland; Department of Clinical Neurosciences, University Hospital Lausanne, 1011 Lausanne, Switzerland
| | - Krisztian Homicsko
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Research Center Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Centre, University Hospital Lausanne, 1011 Lausanne, Switzerland; Department of Oncology, University Hospital of Lausanne, 1011 Lausanne, Switzerland
| | - Giulia Cossu
- Lundin Brain Tumour Centre, University Hospital Lausanne, 1011 Lausanne, Switzerland; Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Andreas F Hottinger
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Research Center Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Centre, University Hospital Lausanne, 1011 Lausanne, Switzerland; Lundin Brain Tumour Centre, University Hospital Lausanne, 1011 Lausanne, Switzerland; Department of Oncology, University Hospital of Lausanne, 1011 Lausanne, Switzerland
| | - Johanna A Joyce
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland; Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Research Center Lausanne, 1011 Lausanne, Switzerland; Agora Cancer Centre, University Hospital Lausanne, 1011 Lausanne, Switzerland; Lundin Brain Tumour Centre, University Hospital Lausanne, 1011 Lausanne, Switzerland; Swiss Cancer Center Leman (SCCL), Lausanne, Geneva, Switzerland.
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22
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Yoel A, Adjumain S, Liang Y, Daniel P, Firestein R, Tsui V. Emerging and Biological Concepts in Pediatric High-Grade Gliomas. Cells 2024; 13:1492. [PMID: 39273062 PMCID: PMC11394548 DOI: 10.3390/cells13171492] [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: 06/27/2024] [Revised: 08/09/2024] [Accepted: 08/21/2024] [Indexed: 09/15/2024] Open
Abstract
Primary central nervous system tumors are the most frequent solid tumors in children, accounting for over 40% of all childhood brain tumor deaths, specifically high-grade gliomas. Compared with pediatric low-grade gliomas (pLGGs), pediatric high-grade gliomas (pHGGs) have an abysmal survival rate. The WHO CNS classification identifies four subtypes of pHGGs, including Grade 4 Diffuse midline glioma H3K27-altered, Grade 4 Diffuse hemispheric gliomas H3-G34-mutant, Grade 4 pediatric-type high-grade glioma H3-wildtype and IDH-wildtype, and infant-type hemispheric gliomas. In recent years, we have seen promising advancements in treatment strategies for pediatric high-grade gliomas, including immunotherapy, CAR-T cell therapy, and vaccine approaches, which are currently undergoing clinical trials. These therapies are underscored by the integration of molecular features that further stratify HGG subtypes. Herein, we will discuss the molecular features of pediatric high-grade gliomas and the evolving landscape for treating these challenging tumors.
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Affiliation(s)
- Abigail Yoel
- Centre for Cancer Research, Hudson Institute of Medical Research, Monash University, Clayton, VIC 3168, Australia
- Department of Molecular and Translational Science, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3168, Australia
| | - Shazia Adjumain
- Centre for Cancer Research, Hudson Institute of Medical Research, Monash University, Clayton, VIC 3168, Australia
- Department of Molecular and Translational Science, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3168, Australia
| | - Yuqing Liang
- Centre for Cancer Research, Hudson Institute of Medical Research, Monash University, Clayton, VIC 3168, Australia
- Department of Molecular and Translational Science, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3168, Australia
| | - Paul Daniel
- Centre for Cancer Research, Hudson Institute of Medical Research, Monash University, Clayton, VIC 3168, Australia
- Department of Molecular and Translational Science, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3168, Australia
| | - Ron Firestein
- Centre for Cancer Research, Hudson Institute of Medical Research, Monash University, Clayton, VIC 3168, Australia
- Department of Molecular and Translational Science, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3168, Australia
| | - Vanessa Tsui
- Centre for Cancer Research, Hudson Institute of Medical Research, Monash University, Clayton, VIC 3168, Australia
- Department of Molecular and Translational Science, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3168, Australia
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23
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Andrade AF, Annett A, Karimi E, Topouza DG, Rezanejad M, Liu Y, McNicholas M, Gonzalez Santiago EG, Llivichuzhca-Loja D, Gehlhaar A, Jessa S, De Cola A, Chandarana B, Russo C, Faury D, Danieau G, Puligandla E, Wei Y, Zeinieh M, Wu Q, Hebert S, Juretic N, Nakada EM, Krug B, Larouche V, Weil AG, Dudley RWR, Karamchandani J, Agnihotri S, Quail DF, Ellezam B, Konnikova L, Walsh LA, Pathania M, Kleinman CL, Jabado N. Immune landscape of oncohistone-mutant gliomas reveals diverse myeloid populations and tumor-promoting function. Nat Commun 2024; 15:7769. [PMID: 39237515 PMCID: PMC11377583 DOI: 10.1038/s41467-024-52096-w] [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: 11/14/2023] [Accepted: 08/27/2024] [Indexed: 09/07/2024] Open
Abstract
Histone H3-mutant gliomas are deadly brain tumors characterized by a dysregulated epigenome and stalled differentiation. In contrast to the extensive datasets available on tumor cells, limited information exists on their tumor microenvironment (TME), particularly the immune infiltrate. Here, we characterize the immune TME of H3.3K27M and G34R/V-mutant gliomas, and multiple H3.3K27M mouse models, using transcriptomic, proteomic and spatial single-cell approaches. Resolution of immune lineages indicates high infiltration of H3-mutant gliomas with diverse myeloid populations, high-level expression of immune checkpoint markers, and scarce lymphoid cells, findings uniformly reproduced in all H3.3K27M mouse models tested. We show these myeloid populations communicate with H3-mutant cells, mediating immunosuppression and sustaining tumor formation and maintenance. Dual inhibition of myeloid cells and immune checkpoint pathways show significant therapeutic benefits in pre-clinical syngeneic mouse models. Our findings provide a valuable characterization of the TME of oncohistone-mutant gliomas, and insight into the means for modulating the myeloid infiltrate for the benefit of patients.
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Affiliation(s)
- Augusto Faria Andrade
- Department of Human Genetics, McGill University, Montreal, QC, H3A 0C7, Canada
- The Research Institute of the McGill University Health Centre, Montreal, QC, H4A 3J1, Canada
| | - Alva Annett
- Department of Human Genetics, McGill University, Montreal, QC, H3A 0C7, Canada
| | - Elham Karimi
- Rosalind and Morris Goodman Cancer Institute, McGill University, Montreal, QC, H3A 1A3, Canada
| | | | - Morteza Rezanejad
- Departments of Psychology and Computer Science, University of Toronto, Toronto, ON, M5S 3G3, M5S 2E4, Canada
| | - Yitong Liu
- Rosalind and Morris Goodman Cancer Institute, McGill University, Montreal, QC, H3A 1A3, Canada
| | - Michael McNicholas
- Department of Oncology and The Milner Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, CB2 0AW, UK
- CRUK Children's Brain Tumour Centre of Excellence, University of Cambridge, Cambridge, E20 1JQ, UK
| | | | | | - Arne Gehlhaar
- Life and Medical Sciences Institute, University of Bonn, Bonn, 53115, Germany
| | - Selin Jessa
- Quantitative Life Sciences, McGill University, Montreal, QC, Canada
- Lady Davis Research Institute, Jewish General Hospital, Montreal, QC, H3T 1E2, Canada
| | - Antonella De Cola
- Department of Oncology and The Milner Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, CB2 0AW, UK
- CRUK Children's Brain Tumour Centre of Excellence, University of Cambridge, Cambridge, E20 1JQ, UK
| | - Bhavyaa Chandarana
- Department of Human Genetics, McGill University, Montreal, QC, H3A 0C7, Canada
| | - Caterina Russo
- The Research Institute of the McGill University Health Centre, Montreal, QC, H4A 3J1, Canada
- Department of Pediatrics, McGill University, Montreal, QC, H4A 3J1, Canada
| | - Damien Faury
- The Research Institute of the McGill University Health Centre, Montreal, QC, H4A 3J1, Canada
- Department of Pediatrics, McGill University, Montreal, QC, H4A 3J1, Canada
| | - Geoffroy Danieau
- Cancer Research Program, The Research Institute of the McGill University Health Centre, Montreal, QC, H4A 3J1, Canada
- Division of Orthopedic Surgery, McGill University Health Centre, Montreal, QC, H4A 3J1, Canada
| | - Evan Puligandla
- Department of Human Genetics, McGill University, Montreal, QC, H3A 0C7, Canada
| | - Yuhong Wei
- Rosalind and Morris Goodman Cancer Institute, McGill University, Montreal, QC, H3A 1A3, Canada
| | - Michele Zeinieh
- Department of Human Genetics, McGill University, Montreal, QC, H3A 0C7, Canada
| | - Qing Wu
- The Research Institute of the McGill University Health Centre, Montreal, QC, H4A 3J1, Canada
- Department of Pediatrics, McGill University, Montreal, QC, H4A 3J1, Canada
| | - Steven Hebert
- Department of Human Genetics, McGill University, Montreal, QC, H3A 0C7, Canada
- Lady Davis Research Institute, Jewish General Hospital, Montreal, QC, H3T 1E2, Canada
| | - Nikoleta Juretic
- The Research Institute of the McGill University Health Centre, Montreal, QC, H4A 3J1, Canada
- Department of Pediatrics, McGill University, Montreal, QC, H4A 3J1, Canada
| | - Emily M Nakada
- The Research Institute of the McGill University Health Centre, Montreal, QC, H4A 3J1, Canada
- Department of Pediatrics, McGill University, Montreal, QC, H4A 3J1, Canada
| | - Brian Krug
- Department of Human Genetics, McGill University, Montreal, QC, H3A 0C7, Canada
| | - Valerie Larouche
- Department of Pediatrics, Centre mère-enfant Soleil du CHU de Québec-Université Laval, Quebec City, QC, G1V 4G2, Canada
| | - Alexander G Weil
- Brain and Development Research Axis, Sainte-Justine Research Centre, Montreal, QC, H3T 1C5, Canada
- Division of Neurosurgery, Department of Surgery, Centre Hospitalier Universitaire Sainte-Justine, Université de Montréal, Montreal, QC, H3T 1C5, Canada
- Department of Neuroscience, University of Montreal, Montreal, QC, H2X 0A9, Canada
| | - Roy W R Dudley
- Department of Pediatric Surgery, Division of Neurosurgery, Montreal Children's Hospital, McGill University, Montreal, QC, H4A 3J1, Canada
| | - Jason Karamchandani
- Department of Pathology, Montreal Neurological Institute, McGill University, Montreal, QC, H3A 2B4, Canada
| | - Sameer Agnihotri
- Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA
| | - Daniela F Quail
- Rosalind and Morris Goodman Cancer Institute, McGill University, Montreal, QC, H3A 1A3, Canada
- Department of Physiology, Faculty of Medicine, McGill University, Montreal, QC, H3G 1Y6, Canada
- Division of Experimental Medicine, Department of Medicine, McGill University, Montreal, QC, H4A 3J1, Canada
| | - Benjamin Ellezam
- Division of Pathology, Department of Pathology and Cell Biology, CHU Sainte-Justine, Université de Montréal, Montreal, QC, H3T 1C5, Canada
| | - Liza Konnikova
- Department of Pediatrics, Yale School of Medicine, New Haven, CT, 06510, USA.
- Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, New Haven, CT, 06510, USA.
- Human and Translational Immunology Program, Yale School of Medicine, New Haven, CT, 06510, USA.
| | - Logan A Walsh
- Department of Human Genetics, McGill University, Montreal, QC, H3A 0C7, Canada
- Rosalind and Morris Goodman Cancer Institute, McGill University, Montreal, QC, H3A 1A3, Canada
| | - Manav Pathania
- Department of Oncology and The Milner Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, CB2 0AW, UK.
- CRUK Children's Brain Tumour Centre of Excellence, University of Cambridge, Cambridge, E20 1JQ, UK.
| | - Claudia L Kleinman
- Department of Human Genetics, McGill University, Montreal, QC, H3A 0C7, Canada.
- Lady Davis Research Institute, Jewish General Hospital, Montreal, QC, H3T 1E2, Canada.
| | - Nada Jabado
- Department of Human Genetics, McGill University, Montreal, QC, H3A 0C7, Canada.
- The Research Institute of the McGill University Health Centre, Montreal, QC, H4A 3J1, Canada.
- Department of Pediatrics, McGill University, Montreal, QC, H4A 3J1, Canada.
- Division of Experimental Medicine, Department of Medicine, McGill University, Montreal, QC, H4A 3J1, Canada.
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24
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Noh MH, Kang JM, Miller AA, Nguyen G, Huang M, Shim JS, Bueso-Perez AJ, Murphy SA, Rivera-Caraballo KA, Otani Y, Kim E, Yoo SH, Yan Y, Banasavadi-Siddegowda Y, Nakashima H, Chiocca EA, Kaur B, Zhao Z, Lee TJ, Yoo JY. Targeting IGF2 to reprogram the tumor microenvironment for enhanced viro-immunotherapy. Neuro Oncol 2024; 26:1602-1616. [PMID: 38853689 PMCID: PMC11376453 DOI: 10.1093/neuonc/noae105] [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: 10/25/2023] [Indexed: 06/11/2024] Open
Abstract
BACKGROUND The FDA approval of oncolytic herpes simplex-1 virus (oHSV) therapy underscores its therapeutic promise and safety as a cancer immunotherapy. Despite this promise, the current efficacy of oHSV is significantly limited to a small subset of patients largely due to the resistance in tumor and tumor microenvironment (TME). METHODS RNA sequencing (RNA-Seq) was used to identify molecular targets of oHSV resistance. Intracranial human and murine glioma or breast cancer brain metastasis (BCBM) tumor-bearing mouse models were employed to elucidate the mechanism underlying oHSV therapy-induced resistance. RESULTS Transcriptome analysis identified IGF2 as one of the top-secreted proteins following oHSV treatment. Moreover, IGF2 expression was significantly upregulated in 10 out of 14 recurrent GBM patients after treatment with oHSV, rQNestin34.5v.2 (71.4%; P = .0020) (ClinicalTrials.gov, NCT03152318). Depletion of IGF2 substantially enhanced oHSV-mediated tumor cell killing in vitro and improved survival of mice bearing BCBM tumors in vivo. To mitigate the oHSV-induced IGF2 in the TME, we constructed a novel oHSV, oHSV-D11mt, secreting a modified IGF2R domain 11 (IGF2RD11mt) that acts as IGF2 decoy receptor. Selective blocking of IGF2 by IGF2RD11mt significantly increased cytotoxicity, reduced oHSV-induced neutrophils/PMN-MDSCs infiltration, and reduced secretion of immune suppressive/proangiogenic cytokines, while increased CD8 + cytotoxic T lymphocytes (CTLs) infiltration, leading to enhanced survival in GBM or BCBM tumor-bearing mice. CONCLUSIONS This is the first study reporting that oHSV-induced secreted IGF2 exerts a critical role in resistance to oHSV therapy, which can be overcome by oHSV-D11mt as a promising therapeutic advance for enhanced viro-immunotherapy.
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Affiliation(s)
- Min Hye Noh
- Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Jin Muk Kang
- Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA
- Department of Pediatric Hematology & Oncology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
| | - Alexandra A Miller
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Science, Houston, Texas, USA
- Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Grace Nguyen
- Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Minxin Huang
- Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Ji Seon Shim
- Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Alberto J Bueso-Perez
- Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Sara A Murphy
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Science, Houston, Texas, USA
- Georgia Cancer Center and Department of Pathology, Medical College of Georgia, Augusta University, Augusta, Georgia, USA
| | - Kimberly A Rivera-Caraballo
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Science, Houston, Texas, USA
- Georgia Cancer Center and Department of Pathology, Medical College of Georgia, Augusta University, Augusta, Georgia, USA
| | - Yoshihiro Otani
- Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan
- Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Eunju Kim
- Department of Food and Nutriton, Kongju National University, Yesan, Chungnam, South Korea
- Department of Biochemistry, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Seung-Hee Yoo
- Department of Biochemistry, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Yuanqing Yan
- Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Yeshavanth Banasavadi-Siddegowda
- Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
| | - Hiroshi Nakashima
- Department of Neurosurgery, Brigham and Women's Hospital and Harvard Medical School, Boston, Maryland, USA
| | - E Antonio Chiocca
- Department of Neurosurgery, Brigham and Women's Hospital and Harvard Medical School, Boston, Maryland, USA
| | - Balveen Kaur
- Georgia Cancer Center and Department of Pathology, Medical College of Georgia, Augusta University, Augusta, Georgia, USA
| | - Zhongming Zhao
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Tae Jin Lee
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Science, Houston, Texas, USA
- Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Ji Young Yoo
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Science, Houston, Texas, USA
- Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA
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25
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Liu Z, Fan Y, Cui M, Wang X, Zhao P. Investigation of tumour environments through advancements in microtechnology and nanotechnology. Biomed Pharmacother 2024; 178:117230. [PMID: 39116787 DOI: 10.1016/j.biopha.2024.117230] [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: 06/05/2024] [Revised: 07/28/2024] [Accepted: 07/30/2024] [Indexed: 08/10/2024] Open
Abstract
Cancer has a significant negative social and economic impact on both developed and developing countries. As a result, understanding the onset and progression of cancer is critical for developing therapies that can improve the well-being and health of individuals with cancer. With time, study has revealed, the tumor microenvironment has great influence on this process. Micro and nanoscale engineering techniques can be used to study the tumor microenvironment. Nanoscale and Microscale engineering use Novel technologies and designs with small dimensions to recreate the TME. Knowing how cancer cells interact with one another can help researchers develop therapeutic approaches that anticipate and counteract cancer cells' techniques for evading detection and fighting anti-cancer treatments, such as microfabrication techniques, microfluidic devices, nanosensors, and nanodevices used to study or recreate the tumor microenvironment. Nevertheless, a complicated action just like the growth and in cancer advancement, and their intensive association along the environment around it that has to be studied in more detail.
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Affiliation(s)
- Zhen Liu
- Department of Radiology, Shengjing Hospital of China Medical University, China
| | - Yan Fan
- Department of Pediatrics, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Mengyao Cui
- Department of Surgical Oncology, Breast Surgery, General Surgery, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Xu Wang
- Department of Surgical Oncology, Breast Surgery, General Surgery, The First Hospital of China Medical University, Shenyang, Liaoning, China.
| | - Pengfei Zhao
- Department of Radiology, Shengjing Hospital of China Medical University, China.
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26
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Wu X, Stabile LP, Burns TF. The Emerging Role of Immune Checkpoint Blockade for the Treatment of Lung Cancer Brain Metastases. Clin Lung Cancer 2024; 25:483-501. [PMID: 38991863 DOI: 10.1016/j.cllc.2024.06.004] [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: 12/03/2023] [Revised: 04/15/2024] [Accepted: 06/06/2024] [Indexed: 07/13/2024]
Abstract
Lung cancer has the highest incidence of brain metastases (BM) among solid organ cancers. Traditionally whole brain radiation therapy has been utilized for non-small-cell lung cancer (NSCLC) BM treatment, although stereotactic radiosurgery has emerged as the superior treatment modality for most patients. Highly penetrant central nervous system (CNS) tyrosine kinase inhibitors have also shown significant CNS activity in patients harboring select oncogenic drivers. There is emerging evidence that patients without oncogene-driven tumors derive benefit from the use of immune checkpoint inhibitors (ICIs). The CNS activity of ICIs have not been well studied given exclusion of patients with active BM from landmark trials, due to concerns of inadequate CNS penetration and activity. However, studies have challenged the idea of an immune-privileged CNS, given the presence of functional lymphatic drainage within the CNS and destruction of the blood brain barrier by BM. An emerging understanding of the interactions between tumor and CNS immune cells in the BM tumor microenvironment also support a role for immunotherapy in BM treatment. In addition, posthoc analyses of major trials have shown improved intracranial response and survival benefit of regimens with ICIs over chemotherapy (CT) alone for patients with BM. Two prospective phase 2 trials evaluating pembrolizumab monotherapy and atezolizumab plus CT in patients with untreated NSCLC BM also demonstrated significant intracranial responses. This review describes the interplay between CNS immune cells and tumor cells, discusses current evidence for ICI CNS activity from retrospective and prospective studies, and speculates on future directions of investigation.
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Affiliation(s)
- Xiancheng Wu
- Department of Medicine, Division of Internal Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Laura P Stabile
- Department of Pharmacology & Chemical Biology, University of Pittsburgh, Pittsburgh, PA; UPMC Hillman Cancer Center, Pittsburgh, PA
| | - Timothy F Burns
- UPMC Hillman Cancer Center, Pittsburgh, PA; Department of Medicine, Division of Hematology-Oncology, University of Pittsburgh, Pittsburgh, PA.
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27
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Li L, Zhang T, Xiao M, Lu Y, Gao L. Brain macrophage senescence in glioma. Semin Cancer Biol 2024; 104-105:46-60. [PMID: 39098625 DOI: 10.1016/j.semcancer.2024.07.005] [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: 06/07/2024] [Revised: 07/20/2024] [Accepted: 07/29/2024] [Indexed: 08/06/2024]
Abstract
Gliomas are a diverse group of primary central nervous system neoplasms with no curative therapies available. Brain macrophages comprise microglia in the brain parenchyma, border-associated macrophages in the meningeal-choroid plexus-perivascular space and monocyte-derived macrophages infiltrating the brain. With the great improvement of our recognition of brain macrophages, diverse macrophage populations have been found in the context of glioma, which exhibit functional and phenotypic heterogeneity. We have long thought that brain macrophage senescence is detrimental, manifested by specialized forms of persistent cell cycle arrest and chronic low-grade inflammation. Persistent senescence of macrophages may result in immune dysfunction, potentially contributing to glioma initiation and development. Given the crucial roles played by brain macrophages in glioma, we unravel how brain macrophages undergo reprogramming and their contribution to glioma. We outline general molecular alterations and specific biomarkers in senescent brain macrophages, as well as functional changes (such as metabolism, autophagy, phagocytosis, antigen presentation, and infiltration and recruitment). In addition, recent advances in genetic regulation and mechanisms linked to senescent brain macrophages are discussed. In particular, this review emphasizes the contribution of senescent brain macrophages to glioma, which may drive translational efforts to utilize brain macrophages as a prognostic marker or/and treatment target in glioma. An in-depth comprehending of how brain macrophage senescence functionally influences the tumor microenvironment will be key to our development of innovative therapeutics for glioma.
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Affiliation(s)
- Lu Li
- Department of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, China
| | - Tianhe Zhang
- Department of Neurosurgery, The People's Hospital of China Medical University, The People's Hospital of Liaoning Province, Shenyang, Liaoning 110016, China
| | - Meiling Xiao
- Department of Rehabilitation, The Central Hospital of Shenyang Medical College, Shenyang, Liaoning 110024, China
| | - Yu Lu
- Rehabilitation Medicine Department, The People's Hospital of China Medical University, The People's Hospital of Liaoning Province, Shenyang, Liaoning 110016, China.
| | - Lin Gao
- Department of Rehabilitation, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, China.
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28
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Sevenich L. Lipid recycling by macrophage cells drives the growth of brain cancer. Nature 2024; 633:777-778. [PMID: 39261694 DOI: 10.1038/d41586-024-02868-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/13/2024]
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29
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Berrocal-Rubio MA, Pawer YDJ, Dinevska M, De Paoli-Iseppi R, Widodo SS, Gleeson J, Rajab N, De Nardo W, Hallab J, Li A, Mantamadiotis T, Clark MB, Wells CA. Discovery of NRG1-VII: the myeloid-derived class of NRG1. BMC Genomics 2024; 25:814. [PMID: 39210279 PMCID: PMC11360300 DOI: 10.1186/s12864-024-10723-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 08/19/2024] [Indexed: 09/04/2024] Open
Abstract
The growth factor Neuregulin-1 (NRG1) has pleiotropic roles in proliferation and differentiation of the stem cell niche in different tissues. It has been implicated in gut, brain and muscle development and repair. Six isoform classes of NRG1 and over 28 protein isoforms have been previously described. Here we report a new class of NRG1, designated NRG1-VII to denote that these NRG1 isoforms arise from a myeloid-specific transcriptional start site (TSS) previously uncharacterized. Long-read sequencing was used to identify eight high-confidence NRG1-VII transcripts. These transcripts presented major structural differences from one another, through the use of cassette exons and alternative stop codons. Expression of NRG1-VII was confirmed in primary human monocytes and tissue resident macrophages and induced pluripotent stem cell-derived macrophages (iPSC-derived macrophages). Isoform switching via cassette exon usage and alternate polyadenylation was apparent during monocyte maturation and macrophage differentiation. NRG1-VII is the major class expressed by the myeloid lineage, including tissue-resident macrophages. Analysis of public gene expression data indicates that monocytes and macrophages are a primary source of NRG1. The size and structure of class VII isoforms suggests that they may be more diffusible through tissues than other NRG1 classes. However, the specific roles of class VII variants in tissue homeostasis and repair have not yet been determined.
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Affiliation(s)
- Miguel A Berrocal-Rubio
- Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Yair David Joseph Pawer
- Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Marija Dinevska
- Department of Surgery, Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia
| | - Ricardo De Paoli-Iseppi
- Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Samuel S Widodo
- Department of Surgery, Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia
| | - Josie Gleeson
- Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Nadia Rajab
- Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Will De Nardo
- Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Jeannette Hallab
- Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Anran Li
- Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Theo Mantamadiotis
- Department of Surgery, Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia
- Department of Microbiology and Immunology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Michael B Clark
- Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Christine A Wells
- Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia.
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30
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Zhao Y, Qin J, Yu D, Liu Y, Song D, Tian K, Chen H, Ye Q, Wang X, Xu T, Xuan H, Sun N, Ma W, Zhong J, Sun P, Song Y, Hu J, Zhao Y, Hou X, Meng X, Jiang C, Cai J. Polymer-locking fusogenic liposomes for glioblastoma-targeted siRNA delivery and CRISPR-Cas gene editing. NATURE NANOTECHNOLOGY 2024:10.1038/s41565-024-01769-0. [PMID: 39209994 DOI: 10.1038/s41565-024-01769-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 07/19/2024] [Indexed: 09/04/2024]
Abstract
In patients with glioblastoma (GBM), upregulated midkine (MDK) limits the survival benefits conferred by temozolomide (TMZ). RNA interference (RNAi) and CRISPR-Cas9 gene editing technology are attractive approaches for regulating MDK expression. However, delivering these biologics to GBM tissue is challenging. Here we demonstrate a polymer-locking fusogenic liposome (Plofsome) that can be transported across the blood-brain barrier (BBB) and deliver short interfering RNA or CRISPR-Cas9 ribonucleoprotein complexes into the cytoplasm of GBM cells. Plofsome is designed by integrating a 'lock' into the fusogenic liposome using a traceless reactive oxygen species (ROS)-cleavable linker so that fusion occurs only after crossing the BBB and entering the GBM tissue with high ROS levels. Our results showed that MDK suppression by Plofsomes significantly reduced TMZ resistance and inhibited GBM growth in orthotopic brain tumour models. Importantly, Plofsomes are effective only at tumour sites and not in normal tissues, which improves the safety of combined RNAi and CRISPR-Cas9 therapeutics.
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Affiliation(s)
- Yu Zhao
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA.
- Key Laboratory of Functional Polymer Materials of Ministry of Education, State Key Laboratory of Medicinal Chemical Biology, College of Chemistry, Nankai University, Tianjin, China.
| | - Jie Qin
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Daohan Yu
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yuxiang Liu
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Dan Song
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Kaifu Tian
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Hao Chen
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Qile Ye
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xinyu Wang
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Tianye Xu
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Hanwen Xuan
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Nan Sun
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Wenbin Ma
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Junzhe Zhong
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Penggang Sun
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yu Song
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Jingze Hu
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yunlei Zhao
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xintong Hou
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xiangqi Meng
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
| | - Chuanlu Jiang
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
- The Sixth Affiliated Hospital of Harbin Medical University, Harbin, China.
| | - Jinquan Cai
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
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31
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Li J, Bai M, Jia W, Zhai X, Wang M, Yu J, Zhu H. Irradiated tumor cell-released microparticles enhance the therapeutic efficacy of PD-1 inhibitors by promoting M1-TAMs polarization in NSCLC brain metastases. Cancer Lett 2024; 598:217133. [PMID: 39079563 DOI: 10.1016/j.canlet.2024.217133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 07/20/2024] [Accepted: 07/23/2024] [Indexed: 08/05/2024]
Abstract
Brain metastases (BMs) are the most common sites of metastasis in patients with non-small cell lung cancer (NSCLC). However, BMs are not responsive to immunotherapy because of the blood-brain barrier. This is because intracranial immune cells such as M2 tumor-associated macrophages (TAMs) accumulate, creating an immunosuppressive tumor microenvironment. In this study, we focused on irradiated tumor cell-released microparticles (RT-MPs) that can cross the blood-brain barrier and influence the intracranial immune microenvironment. Using animal models of BMs, we observed that RT-MPs could penetrate the blood-brain barrier and be swallowed by TAMs. Then the microenvironment of TAMs is shifted from the M2 phenotype to the M1 phenotype, thereby modulating the interactions between TAMs and tumor cells. Single-cell sequencing analysis demonstrated that TAMs, after internalizing RT-MPs, active chemokine signaling pathways and secrete more chemokines, such as CCL5, CXCL2, CXCL1, CCL3, CCL4, and CCL22, attracting more CD4+ T cells and CD8+ T cells, improving immune-mediated killing, and enhancing subsequent combination anti-PD-1 therapy. These findings provide a preclinical foundation for exploring alternative treatments for patients with immunoresistant NSCLC BMs.
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Affiliation(s)
- Ji Li
- Department of Radiation Oncology, Shandong Cancer Hospital & Institute Affiliated to Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Menglin Bai
- Department of Radiation Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Wenxiao Jia
- Department of Radiation Oncology, Shandong Cancer Hospital & Institute Affiliated to Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Xiaoyang Zhai
- Department of Radiation Oncology, Shandong Cancer Hospital & Institute Affiliated to Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Min Wang
- Department of Radiation Oncology, Shandong Cancer Hospital & Institute Affiliated to Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Jinming Yu
- Department of Radiation Oncology, Shandong Cancer Hospital & Institute Affiliated to Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Hui Zhu
- Department of Radiation Oncology, Shandong Cancer Hospital & Institute Affiliated to Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, Shandong, China.
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32
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Li YS, Lai WP, Yin K, Zheng MM, Tu HY, Guo WB, Li L, Lin SH, Wang Z, Zeng L, Jiang BY, Chen ZH, Zhou Q, Zhang XC, Yang JJ, Zhong WZ, Yang XN, Wang BC, Pan Y, Chen HJ, Xiao FM, Sun H, Sun YL, Bai XY, Ke EE, Lin JX, Liu SYM, Li Y, Luo OJ, Wu YL. Lipid-associated macrophages for osimertinib resistance and leptomeningeal metastases in NSCLC. Cell Rep 2024; 43:114613. [PMID: 39116206 DOI: 10.1016/j.celrep.2024.114613] [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] [Revised: 06/06/2024] [Accepted: 07/24/2024] [Indexed: 08/10/2024] Open
Abstract
Leptomeningeal metastases (LMs) remain a devastating complication of non-small cell lung cancer (NSCLC), particularly following osimertinib resistance. We conducted single-cell RNA sequencing on cerebrospinal fluid (CSF) from EGFR-mutant NSCLC with central nervous system metastases. We found that macrophages of LMs displayed functional and phenotypic heterogeneity and enhanced immunosuppressive properties. A population of lipid-associated macrophages, namely RNASE1_M, were linked to osimertinib resistance and LM development, which was regulated by Midkine (MDK) from malignant epithelial cells. MDK exhibited significant elevation in both CSF and plasma among patients with LMs, with higher MDK levels correlating to poorer outcomes in an independent cohort. Moreover, MDK could promote macrophage M2 polarization with lipid metabolism and phagocytic function. Furthermore, malignant epithelial cells in CSF, particularly after resistance to osimertinib, potentially achieved immune evasion through CD47-SIRPA interactions with RNASE1_M. In conclusion, we revealed a specific subtype of macrophages linked to osimertinib resistance and LM development, providing a potential target to overcome LMs.
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Affiliation(s)
- Yang-Si Li
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China; School of Medicine, South China University of Technology, Guangzhou 510006, China; Department of Oncology, Heyuan Hospital of Guangdong Provincial People's Hospital, Heyuan People's Hospital, Heyuan 517000, China
| | - Wen-Pu Lai
- Department of Hematology, First Affiliated Hospital, Jinan University, Guangzhou, China; Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou 510632, China; Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Kai Yin
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Mei-Mei Zheng
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Wei-Bang Guo
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Liang Li
- Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Shou-Heng Lin
- China-New Zealand Joint Laboratory on Biomedicine and Health, State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-HKU Guangdong-Hong Kong Stem Cell and Regenerative Medicine Research Centre, GIBH-CUHK Joint Research Laboratory on Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510700, China
| | - Zhen Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Lu Zeng
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Ben-Yuan Jiang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Zhi-Hong Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Wen-Zhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Xue-Ning Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Bin-Chao Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Yi Pan
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Hua-Jun Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Fa-Man Xiao
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Hao Sun
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Yue-Li Sun
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Xiao-Yan Bai
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - E-E Ke
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Jia-Xin Lin
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Si-Yang Maggie Liu
- Department of Hematology, First Affiliated Hospital, Jinan University, Guangzhou, China; Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Yangqiu Li
- Department of Hematology, First Affiliated Hospital, Jinan University, Guangzhou, China; Key Laboratory for Regenerative Medicine of Ministry of Education, Institute of Hematology, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Oscar Junhong Luo
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou 510632, China.
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080 China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China; School of Medicine, South China University of Technology, Guangzhou 510006, China.
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33
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Littrell CA, Takacs GP, Sankara CS, Sherman A, Rubach KA, Garcia JS, Bell CA, Lnu T, Harrison JK, Zhang F. Systemically targeting monocytic myloid-derrived suppressor cells using dendrimers and their cell-level biodistribution kinetics. J Control Release 2024; 374:181-193. [PMID: 39103055 DOI: 10.1016/j.jconrel.2024.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 07/29/2024] [Accepted: 08/02/2024] [Indexed: 08/07/2024]
Abstract
The focus of nanoparticles in vivo trafficking has been mostly on their tissue-level biodistribution and clearance. Recent progress in the nanomedicine field suggests that the targeting of nanoparticles to immune cells can be used to modulate the immune response and enhance therapeutic delivery to the diseased tissue. In the presence of tumor lesions, monocytic-myeloid-derived suppressor cells (M-MDSCs) expand significantly in the bone marrow, egress into peripheral blood, and traffic to the solid tumor, where they help maintain an immuno-suppressive tumor microenvironment. In this study, we investigated the interaction between PAMAM dendrimers and M-MDSCs in two murine models of glioblastoma, by examining the cell-level biodistribution kinetics of the systemically injected dendrimers. We found that M-MDSCs in the tumor and lymphoid organs can efficiently endocytose hydroxyl dendrimers. Interestingly, the trafficking of M-MDSCs from the bone marrow to the tumor contributed to the deposition of hydroxyl dendrimers in the tumor. M-MDSCs showed different capacities of endocytosing dendrimers of different functionalities in vivo. This differential uptake was mediated by the unique serum proteins associated with each dendrimer surface functionality. The results of this study set up the framework for developing dendrimer-based immunotherapy to target M-MDSCs for cancer treatment.
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Affiliation(s)
- Chad A Littrell
- Department of Pharmacology & Therapeutics, University of Florida College of Medicine, Gainesville, FL, United States
| | - Gregory P Takacs
- Department of Pharmacology & Therapeutics, University of Florida College of Medicine, Gainesville, FL, United States
| | - Chenikkayala Siva Sankara
- Department of Pharmaceutics, University of Florida College of Pharmacy, Gainesville, FL, United States
| | - Alexandra Sherman
- Department of Pharmacology & Therapeutics, University of Florida College of Medicine, Gainesville, FL, United States
| | - Kai A Rubach
- Department of Pharmaceutics, University of Florida College of Pharmacy, Gainesville, FL, United States
| | - Julia S Garcia
- Department of Pharmacology & Therapeutics, University of Florida College of Medicine, Gainesville, FL, United States
| | - Coral A Bell
- Department of Pharmaceutics, University of Florida College of Pharmacy, Gainesville, FL, United States
| | - Tejashwini Lnu
- Department of Chemical Engineering, University of Florida College of Pharmacy, Gainesville, FL, United States
| | - Jeffrey K Harrison
- Department of Pharmacology & Therapeutics, University of Florida College of Medicine, Gainesville, FL, United States
| | - Fan Zhang
- Department of Pharmacology & Therapeutics, University of Florida College of Medicine, Gainesville, FL, United States; Department of Pharmaceutics, University of Florida College of Pharmacy, Gainesville, FL, United States; Department of Chemical Engineering, University of Florida College of Pharmacy, Gainesville, FL, United States.
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34
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Nguyen YTM, Sibley L, Przanowski P, Zhao XY, Kovacs M, Wang S, Jones MK, Cowan M, Liu W, Merchak AR, Gaultier A, Janes K, Zang C, Harris T, Ewald SE, Zong H. Toxoplasma gondii infection supports the infiltration of T cells into brain tumors. J Neuroimmunol 2024; 393:578402. [PMID: 38996717 PMCID: PMC11318612 DOI: 10.1016/j.jneuroim.2024.578402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 07/03/2024] [Accepted: 07/07/2024] [Indexed: 07/14/2024]
Abstract
Few T cells infiltrate into primary brain tumors, fundamentally hampering the effectiveness of immunotherapy. We hypothesized that Toxoplasma gondii, a microorganism that naturally elicits a Th1 response in the brain, can promote T cell infiltration into brain tumors despite their immune suppressive microenvironment. Using a mouse genetic model for medulloblastoma, we found that T. gondii infection induced the infiltration of activatable T cells into the tumor mass and led to myeloid cell reprogramming toward a T cell-supportive state, without causing severe health issues in mice. The study provides a concrete foundation for future studies to take advantage of the immune modulatory capacity of T. gondii to facilitate brain tumor immunotherapy.
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Affiliation(s)
- Yen T M Nguyen
- Department of Microbiology, Immunology, and Cancer Biology at the Carter Immunology Center, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Lydia Sibley
- Center for Brain Immunology and Glia (BIG), Department of Neuroscience, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Piotr Przanowski
- Department of Biomedical Engineering, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Xiao-Yu Zhao
- Department of Microbiology, Immunology, and Cancer Biology at the Carter Immunology Center, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Michael Kovacs
- Center for Brain Immunology and Glia (BIG), Department of Neuroscience, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Shengyuan Wang
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Marieke K Jones
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Maureen Cowan
- Center for Brain Immunology and Glia (BIG), Department of Neuroscience, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Wenjie Liu
- Department of Microbiology, Immunology, and Cancer Biology at the Carter Immunology Center, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Andrea R Merchak
- Center for Brain Immunology and Glia (BIG), Department of Neuroscience, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Alban Gaultier
- Center for Brain Immunology and Glia (BIG), Department of Neuroscience, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Kevin Janes
- Department of Biomedical Engineering, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Chongzhi Zang
- Department of Biomedical Engineering, University of Virginia School of Medicine, Charlottesville, VA, USA; Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA; Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Tajie Harris
- Center for Brain Immunology and Glia (BIG), Department of Neuroscience, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Sarah E Ewald
- Department of Microbiology, Immunology, and Cancer Biology at the Carter Immunology Center, University of Virginia School of Medicine, Charlottesville, VA, USA.
| | - Hui Zong
- Department of Microbiology, Immunology, and Cancer Biology at the Carter Immunology Center, University of Virginia School of Medicine, Charlottesville, VA, USA.
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35
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Li J, Zhang Y, Liang C, Yan X, Hui X, Liu Q. Advancing precision medicine in gliomas through single-cell sequencing: unveiling the complex tumor microenvironment. Front Cell Dev Biol 2024; 12:1396836. [PMID: 39156969 PMCID: PMC11327033 DOI: 10.3389/fcell.2024.1396836] [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: 03/06/2024] [Accepted: 07/22/2024] [Indexed: 08/20/2024] Open
Abstract
Glioblastoma (GBM) displays an infiltrative growth characteristic that recruits neighboring normal cells to facilitate tumor growth, maintenance, and invasion into the brain. While the blood-brain barrier serves as a critical natural defense mechanism for the central nervous system, GBM disrupts this barrier, resulting in the infiltration of macrophages from the peripheral bone marrow and the activation of resident microglia. Recent advancements in single-cell transcriptomics and spatial transcriptomics have refined the categorization of cells within the tumor microenvironment for precise identification. The intricate interactions and influences on cell growth within the tumor microenvironment under multi-omics conditions are succinctly outlined. The factors and mechanisms involving microglia, macrophages, endothelial cells, and T cells that impact the growth of GBM are individually examined. The collaborative mechanisms of tumor cell-immune cell interactions within the tumor microenvironment synergistically promote the growth, infiltration, and metastasis of gliomas, while also influencing the immune status and therapeutic response of the tumor microenvironment. As immunotherapy continues to progress, targeting the cells within the inter-tumor microenvironment emerges as a promising novel therapeutic approach for GBM. By comprehensively understanding and intervening in the intricate cellular interactions within the tumor microenvironment, novel therapeutic modalities may be developed to enhance treatment outcomes for patients with GBM.
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Affiliation(s)
- Jinwei Li
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Neurosurgery, Liuzhou Workers Hospital, Liuzhou, Guangxi, China
| | - Yang Zhang
- Graduate School of Medicine, Kunming Medical University, Kunming, Yunnan, China
| | - Cong Liang
- Department of Pharmacy, Liuzhou Workers Hospital, Liuzhou, Guangxi, China
| | - Xianlei Yan
- Department of Neurosurgery, Liuzhou Workers Hospital, Liuzhou, Guangxi, China
| | - Xuhui Hui
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Quan Liu
- Department of Neurosurgery, Liuzhou Workers Hospital, Liuzhou, Guangxi, China
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36
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Schulz C, Proescholdt M, Schmidt NO, Steger F, Heudobler D. [Brain metastases]. Pneumologie 2024; 78:578-589. [PMID: 38266745 DOI: 10.1055/a-2238-1840] [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: 01/26/2024]
Abstract
Cerebral metastases in patients with metastatic lung cancer are found in more than 30% of patients at baseline and manifest themselves in two out of three patients during disease evolution. For a long time, the cerebral manifestation of the disease was classified as prognostically unfavorable and hence such patients were regularly excluded from therapy studies. In the context of targeted molecular therapy strategies and established immuno-oncological systemic therapies, the blood-brain barrier no longer represents an insurmountable barrier. However, the treatment of brain metastases requires decision making in a multidisciplinary team within dedicated lung cancer and/or oncology centers. The differentiated treatment decision is based on the number, size and location of the brain metastases, neurology and general condition, comorbidities, potential life expectancy and the patient's wishes, but also tumor biology including molecular targets, extra-cranial tumor burden and availability of a CNS-effective therapy. Systemic therapies as well as neurosurgical and radiotherapeutic concepts are now often combined for optimized and prognosis-improving therapeutic strategies.
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Affiliation(s)
- Christian Schulz
- Klinik und Poliklinik für Innere Medizin II, Universitätsklinikum Regensburg, Regensburg, Deutschland
| | - Martin Proescholdt
- Klinik und Poliklinik für Neurochirurgie, Universitätsklinikum Regensburg, Regensburg, Deutschland
| | - Nils Ole Schmidt
- Klinik und Poliklinik für Neurochirurgie, Universitätsklinikum Regensburg, Regensburg, Deutschland
| | - Felix Steger
- Klinik und Poliklinik für Strahlentherapie, Universitätsklinikum Regensburg, Regensburg, Deutschland
| | - Daniel Heudobler
- Klinik und Poliklinik für Innere Medizin III, Universitätsklinikum Regensburg, Regensburg, Deutschland
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37
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Dobersalske C, Rauschenbach L, Hua Y, Berliner C, Steinbach A, Grüneboom A, Kokkaliaris KD, Heiland DH, Berger P, Langer S, Tan CL, Stenzel M, Landolsi S, Weber F, Darkwah Oppong M, Werner RA, Gull H, Schröder T, Linsenmann T, Buck AK, Gunzer M, Stuschke M, Keyvani K, Forsting M, Glas M, Kipnis J, Steindler DA, Reinhardt HC, Green EW, Platten M, Tasdogan A, Herrmann K, Rambow F, Cima I, Sure U, Scheffler B. Cranioencephalic functional lymphoid units in glioblastoma. Nat Med 2024:10.1038/s41591-024-03152-x. [PMID: 39085419 DOI: 10.1038/s41591-024-03152-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 06/25/2024] [Indexed: 08/02/2024]
Abstract
The ecosystem of brain tumors is considered immunosuppressed, but our current knowledge may be incomplete. Here we analyzed clinical cell and tissue specimens derived from patients presenting with glioblastoma or nonmalignant intracranial disease to report that the cranial bone (CB) marrow, in juxtaposition to treatment-naive glioblastoma tumors, harbors active lymphoid populations at the time of initial diagnosis. Clinical and anatomical imaging, single-cell molecular and immune cell profiling and quantification of tumor reactivity identified CD8+ T cell clonotypes in the CB that were also found in the tumor. These were characterized by acute and durable antitumor response rooted in the entire T cell developmental spectrum. In contrast to distal bone marrow, the CB niche proximal to the tumor showed increased frequencies of tumor-reactive CD8+ effector types expressing the lymphoid egress marker S1PR1. In line with this, cranial enhancement of CXCR4 radiolabel may serve as a surrogate marker indicating focal association with improved progression-free survival. The data of this study advocate preservation and further exploitation of these cranioencephalic units for the clinical care of glioblastoma.
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Affiliation(s)
- Celia Dobersalske
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- DKFZ Division Translational Neurooncology at the WTZ, University Medicine Essen, Essen, Germany
| | - Laurèl Rauschenbach
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- DKFZ Division Translational Neurooncology at the WTZ, University Medicine Essen, Essen, Germany
- West German Cancer Center (WTZ), University Hospital Essen, Essen, Germany
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
- Center for Translational Neuroscience and Behavioral Science (C-TNBS), University of Duisburg-Essen, Essen, Germany
| | - Yichao Hua
- Department of Applied Computational Cancer Research, IKIM, University Hospital Essen, Essen, Germany
| | - Christoph Berliner
- Department of Nuclear Medicine, University Hospital Essen, Essen, Germany
| | - Anita Steinbach
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- DKFZ Division Translational Neurooncology at the WTZ, University Medicine Essen, Essen, Germany
| | - Anika Grüneboom
- Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Dortmund, Germany
| | - Konstantinos D Kokkaliaris
- Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany
- DKTK, German Cancer Consortium, partner site Frankfurt/Mainz, Quantitative Spatial Cancer Biology Laboratory, University Hospital Frankfurt, Frankfurt am Main, Germany
- Frankfurt Cancer Institute (FCI), Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Dieter H Heiland
- DKTK, German Cancer Consortium, partner site Freiburg, Translational Neurosurgery, Microenvironment and Immunology Research Laboratory, University of Freiburg, Freiburg, Germany
- Department of Neurosurgery, University Clinic Erlangen, Erlangen, Germany
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Pia Berger
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- DKFZ Division Translational Neurooncology at the WTZ, University Medicine Essen, Essen, Germany
| | - Sarah Langer
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- DKFZ Division Translational Neurooncology at the WTZ, University Medicine Essen, Essen, Germany
| | - Chin L Tan
- CCU Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center, Heidelberg, Germany
- DKTK, German Cancer Consortium, Core Center Heidelberg, Heidelberg, Germany
- Department of Neurology, Medical Faculty Mannheim, Mannheim Center for Translational Neuroscience, Heidelberg University, Mannheim, Germany
| | - Martin Stenzel
- Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Dortmund, Germany
| | - Somaya Landolsi
- Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany
- DKTK, German Cancer Consortium, partner site Frankfurt/Mainz, Quantitative Spatial Cancer Biology Laboratory, University Hospital Frankfurt, Frankfurt am Main, Germany
- Frankfurt Cancer Institute (FCI), Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Flora Weber
- Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Dortmund, Germany
| | - Marvin Darkwah Oppong
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
- Center for Translational Neuroscience and Behavioral Science (C-TNBS), University of Duisburg-Essen, Essen, Germany
| | - Rudolf A Werner
- Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany
- University Hospital Frankfurt, Department of Nuclear Medicine, Clinic for Radiology and Nuclear Medicine, Frankfurt am Main, Germany
- The Russell H. Morgan Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hanah Gull
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- DKFZ Division Translational Neurooncology at the WTZ, University Medicine Essen, Essen, Germany
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
- Center for Translational Neuroscience and Behavioral Science (C-TNBS), University of Duisburg-Essen, Essen, Germany
| | - Thomas Schröder
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, Essen, Germany
| | - Thomas Linsenmann
- Department of Neurosurgery, University Hospital Würzburg, Würzburg, Germany
| | - Andreas K Buck
- Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany
| | - Matthias Gunzer
- Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Dortmund, Germany
- Institute for Experimental Immunology and Imaging, University Hospital, University Duisburg-Essen, Essen, Germany
| | - Martin Stuschke
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- West German Cancer Center (WTZ), University Hospital Essen, Essen, Germany
- Department of Radiation Oncology, University Hospital Essen, Essen, Germany
| | - Kathy Keyvani
- Institute of Neuropathology, University Hospital Essen, Essen, Germany
| | - Michael Forsting
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
| | - Martin Glas
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- West German Cancer Center (WTZ), University Hospital Essen, Essen, Germany
- Center for Translational Neuroscience and Behavioral Science (C-TNBS), University of Duisburg-Essen, Essen, Germany
- Department of Neurology, Division of Neurooncology, University Hospital Essen, Essen, Germany
| | - Jonathan Kipnis
- Brain Immunology and Glia (BIG) Center, Washington University School of Medicine in St Louis, St Louis, MO, USA
- Department of Pathology and Immunology, Washington University School of Medicine in St Louis, St Louis, MO, USA
| | - Dennis A Steindler
- Steindler Consulting, Boston, MA, USA
- The Eshelman Institute for Innovation, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Hans Christian Reinhardt
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- West German Cancer Center (WTZ), University Hospital Essen, Essen, Germany
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, Essen, Germany
- Center of Medical Biotechnology (ZMB), University Duisburg-Essen, Essen, Germany
| | - Edward W Green
- CCU Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center, Heidelberg, Germany
- DKTK, German Cancer Consortium, Core Center Heidelberg, Heidelberg, Germany
- Department of Neurology, Medical Faculty Mannheim, Mannheim Center for Translational Neuroscience, Heidelberg University, Mannheim, Germany
| | - Michael Platten
- CCU Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center, Heidelberg, Germany
- DKTK, German Cancer Consortium, Core Center Heidelberg, Heidelberg, Germany
- Department of Neurology, Medical Faculty Mannheim, Mannheim Center for Translational Neuroscience, Heidelberg University, Mannheim, Germany
- Immune Monitoring Unit, National Center for Tumor Diseases, Heidelberg, Germany
- Helmholtz Institute for Translational Oncology, Mainz, Germany
- German Cancer Research Center-Hector Cancer Institute at the Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Alpaslan Tasdogan
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- West German Cancer Center (WTZ), University Hospital Essen, Essen, Germany
- Center of Medical Biotechnology (ZMB), University Duisburg-Essen, Essen, Germany
- Department of Dermatology, University Hospital Essen, Essen, Germany
| | - Ken Herrmann
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- West German Cancer Center (WTZ), University Hospital Essen, Essen, Germany
- Department of Nuclear Medicine, University Hospital Essen, Essen, Germany
| | - Florian Rambow
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- Department of Applied Computational Cancer Research, IKIM, University Hospital Essen, Essen, Germany
- Center of Medical Biotechnology (ZMB), University Duisburg-Essen, Essen, Germany
| | - Igor Cima
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- DKFZ Division Translational Neurooncology at the WTZ, University Medicine Essen, Essen, Germany
| | - Ulrich Sure
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- West German Cancer Center (WTZ), University Hospital Essen, Essen, Germany
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
- Center for Translational Neuroscience and Behavioral Science (C-TNBS), University of Duisburg-Essen, Essen, Germany
| | - Björn Scheffler
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany.
- German Cancer Research Center (DKFZ), Heidelberg, Germany.
- DKFZ Division Translational Neurooncology at the WTZ, University Medicine Essen, Essen, Germany.
- West German Cancer Center (WTZ), University Hospital Essen, Essen, Germany.
- Center of Medical Biotechnology (ZMB), University Duisburg-Essen, Essen, Germany.
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Zhao YY, Fan Z, Tao BR, Du ZG, Shi ZF. Density of tertiary lymphoid structures predicts clinical outcome in breast cancer brain metastasis. J Immunother Cancer 2024; 12:e009232. [PMID: 39067874 DOI: 10.1136/jitc-2024-009232] [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] [Accepted: 07/10/2024] [Indexed: 07/30/2024] Open
Abstract
BACKGROUND Patients with breast cancer brain metastases (BCBM) experience a rapid decline in their quality of life. Recently, tertiary lymphoid structures (TLSs), analogs of secondary lymphoid organs, have attracted extensive attention. However, the potential clinical implications of TLSs in BCBMs are poorly understood. In this study, we evaluated the density and composition of TLSs in BCBMs and described their prognostic value. METHODS Clinicopathological data were collected from 98 patients (2015-2021). TLSs were evaluated, and a TLS scoring system was constructed. Differences in progression-free survival (PFS) and overall survival (OS) between groups were calculated using the Kaplan-Meier method. Immunohistochemistry and multiplex immunofluorescence (mIF) were used to assess TLSs heterogeneity. RESULTS TLSs were identified in 47 patients with BCBM. High TLSs density indicated favorable survival (OS, p=0.003; PFS, p<0.001). TLS was positively associated with OS (p=0.0172) and PFS (p=0.0161) in the human epidermal growth factor receptor type 2-positive subtype, and with prolonged OS (p=0.0482) in the triple-negative breast cancer subtype. The mIF results showed significant differences in the percentages of T follicular helper (Tfh) cells, M2 macrophages, cytotoxic T lymphocytes, and CD8+TIM-3+ T lymphocytes between the groups of TLS scores 0-3 (cytotoxic T lymphocytes, p=0.044; Tfh, p=0.021; M2 macrophages, p=0.033; CD8+TIM-3+ T lymphocytes, p=0.018). Furthermore, novel nomograms incorporating the TLS scores and other clinicopathological predictors demonstrated prominent predictability of the 1-year, 3-year, and 5-year outcomes of BCBMs (area under the curve >0.800). CONCLUSION Our results highlight the impact of TLSs abundance on the OS and PFS of patients with BCBM. Additionally, we described the immune composition of TLSs and proposed novel nomograms to predict the prognosis of patients with BCBM.
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Affiliation(s)
- Yuan-Yuan Zhao
- Department of General Surgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhen Fan
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Research Unit of New Technologies of Micro-Endoscopy Combination in Skull Base Surgery (2018RU008), Chinese Academy of Medical Sciences, Beijing, China
- National Center for Neurological Disorders, Shanghai, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China
- Neurosurgical Institute of Fudan University, Shanghai, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
| | - Bao-Rui Tao
- Department of General Surgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zun-Guo Du
- Department of Pathology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhi-Feng Shi
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Research Unit of New Technologies of Micro-Endoscopy Combination in Skull Base Surgery (2018RU008), Chinese Academy of Medical Sciences, Beijing, China
- National Center for Neurological Disorders, Shanghai, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China
- Neurosurgical Institute of Fudan University, Shanghai, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
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39
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Sajjadi SF, Salehi N, Sadeghi M. Comprehensive integrated single-cell RNA sequencing analysis of brain metastasis and glioma microenvironment: Contrasting heterogeneity landscapes. PLoS One 2024; 19:e0306220. [PMID: 39058687 PMCID: PMC11280140 DOI: 10.1371/journal.pone.0306220] [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: 01/31/2024] [Accepted: 06/12/2024] [Indexed: 07/28/2024] Open
Abstract
Understanding the specific type of brain malignancy, source of brain metastasis, and underlying transformation mechanisms can help provide better treatment and less harm to patients. The tumor microenvironment plays a fundamental role in cancer progression and affects both primary and metastatic cancers. The use of single-cell RNA sequencing to gain insights into the heterogeneity profiles in the microenvironment of brain malignancies is useful for guiding treatment decisions. To comprehensively investigate the heterogeneity in gliomas and brain metastasis originating from different sources (lung and breast), we integrated data from three groups of single-cell RNA-sequencing datasets obtained from GEO. We gathered and processed single-cell RNA sequencing data from 90,168 cells obtained from 17 patients. We then employed the R package Seurat for dataset integration. Next, we clustered the data within the UMAP space and acquired differentially expressed genes for cell categorization. Our results underscore the significance of macrophages as abundant and pivotal constituents of gliomas. In contrast, lung-to-brain metastases exhibit elevated numbers of AT2, cytotoxic CD4+ T, and exhausted CD8+ T cells. Conversely, breast-to-brain metastases are characterized by an abundance of epithelial and myCAF cells. Our study not only illuminates the variation in the TME between brain metastasis with different origins but also opens the door to utilizing established markers for these cell types to differentiate primary brain metastatic cancers.
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Affiliation(s)
- Seyedeh Fatemeh Sajjadi
- School of Biological Science, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
| | - Najmeh Salehi
- School of Biological Science, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
| | - Mehdi Sadeghi
- School of Biological Science, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
- National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran
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40
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Weiss A, D'Amata C, Pearson BJ, Hayes MN. A syngeneic spontaneous zebrafish model of tp53-deficient, EGFR vIII, and PI3KCA H1047R-driven glioblastoma reveals inhibitory roles for inflammation during tumor initiation and relapse in vivo. eLife 2024; 13:RP93077. [PMID: 39052000 PMCID: PMC11272161 DOI: 10.7554/elife.93077] [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] [Indexed: 07/27/2024] Open
Abstract
High-throughput vertebrate animal model systems for the study of patient-specific biology and new therapeutic approaches for aggressive brain tumors are currently lacking, and new approaches are urgently needed. Therefore, to build a patient-relevant in vivo model of human glioblastoma, we expressed common oncogenic variants including activated human EGFRvIII and PI3KCAH1047R under the control of the radial glial-specific promoter her4.1 in syngeneic tp53 loss-of-function mutant zebrafish. Robust tumor formation was observed prior to 45 days of life, and tumors had a gene expression signature similar to human glioblastoma of the mesenchymal subtype, with a strong inflammatory component. Within early stage tumor lesions, and in an in vivo and endogenous tumor microenvironment, we visualized infiltration of phagocytic cells, as well as internalization of tumor cells by mpeg1.1:EGFP+ microglia/macrophages, suggesting negative regulatory pressure by pro-inflammatory cell types on tumor growth at early stages of glioblastoma initiation. Furthermore, CRISPR/Cas9-mediated gene targeting of master inflammatory transcription factors irf7 or irf8 led to increased tumor formation in the primary context, while suppression of phagocyte activity led to enhanced tumor cell engraftment following transplantation into otherwise immune-competent zebrafish hosts. Altogether, we developed a genetically relevant model of aggressive human glioblastoma and harnessed the unique advantages of zebrafish including live imaging, high-throughput genetic and chemical manipulations to highlight important tumor-suppressive roles for the innate immune system on glioblastoma initiation, with important future opportunities for therapeutic discovery and optimizations.
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Affiliation(s)
- Alex Weiss
- Developmental and Stem Cell Biology Program, The Hospital for Sick ChildrenTorontoCanada
| | - Cassandra D'Amata
- Developmental and Stem Cell Biology Program, The Hospital for Sick ChildrenTorontoCanada
| | - Bret J Pearson
- Department of Molecular Genetics, University of TorontoTorontoCanada
- Knight Cancer Institute, Oregon Health & Science UniversityPortlandUnited States
- Department of Pediatrics, Papé Research Institute, Oregon Health & Science UniversityPortlandUnited States
| | - Madeline N Hayes
- Developmental and Stem Cell Biology Program, The Hospital for Sick ChildrenTorontoCanada
- Department of Molecular Genetics, University of TorontoTorontoCanada
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41
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Aliazis K, Yenyuwadee S, Phikulsod P, Boussiotis VA. Emergency myelopoiesis in solid cancers. Br J Haematol 2024. [PMID: 39044285 DOI: 10.1111/bjh.19656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Accepted: 07/09/2024] [Indexed: 07/25/2024]
Abstract
Cells of the innate and adaptive immune systems are the progeny of haematopoietic stem and progenitor cells (HSPCs). During steady-state myelopoiesis, HSPC undergo differentiation and proliferation but are called to respond directly and acutely to various signals that lead to emergency myelopoiesis, including bone marrow ablation, infections, and sterile inflammation. There is extensive evidence that many solid tumours have the potential to secrete classical myelopoiesis-promoting growth factors and other products able to mimic emergency haematopoiesis, and to aberrantly re-direct myeloid cell development into immunosuppressive cells with tumour promoting properties. Here, we summarize the current literature regarding the effects of solid cancers on HSPCs function and discuss how these effects might shape antitumour responses via a mechanism initiated at a site distal from the tumour microenvironment.
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Affiliation(s)
- Konstantinos Aliazis
- Department of Hematology-Oncology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Sasitorn Yenyuwadee
- Department of Hematology-Oncology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
- Department of Dermatology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Ployploen Phikulsod
- Division of Hematology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Vassiliki A Boussiotis
- Department of Hematology-Oncology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
- Cancer Center, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
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42
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Massara M, Dolfi B, Wischnewski V, Nolan E, Held W, Malanchi I, Joyce JA. Investigation of a fluorescent reporter microenvironment niche labeling strategy in experimental brain metastasis. iScience 2024; 27:110284. [PMID: 39040072 PMCID: PMC11261144 DOI: 10.1016/j.isci.2024.110284] [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: 10/17/2023] [Revised: 12/14/2023] [Accepted: 06/13/2024] [Indexed: 07/24/2024] Open
Abstract
Brain metastases are the most common brain tumors in patients and are associated with poor prognosis. Investigating the colonization and outgrowth of brain metastases is challenging given the complexity of the organ, tissue sampling difficulty, and limited experimental models. To address this challenge, we employed a strategy to analyze the metastatic niche in established lesions, based on the release of a cell-penetrating mCherry tag from labeled tumor cells to neighboring niche cells, using different brain metastasis mouse models. We found that CD206+ macrophages were the most abundant cells taking up the mCherry label in established metastases. In vitro and in vivo experiments demonstrated that macrophages uptake and retain the canonical form of mCherry, even without the cell-penetrating portion of the tag. These results identify a specific macrophage subset in the brain that retains tumor-supplied fluorescent molecules, thereby complicating the long-term use of niche labeling strategies in established experimental brain metastasis.
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Affiliation(s)
- Matteo Massara
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland
- Ludwig Institute for Cancer Research, University of Lausanne 1011 Lausanne, Switzerland
- Agora Cancer Research Centre Lausanne, 1011 Lausanne, Switzerland
- L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland
| | - Bastien Dolfi
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland
- Ludwig Institute for Cancer Research, University of Lausanne 1011 Lausanne, Switzerland
- Agora Cancer Research Centre Lausanne, 1011 Lausanne, Switzerland
- L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland
| | - Vladimir Wischnewski
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland
- Ludwig Institute for Cancer Research, University of Lausanne 1011 Lausanne, Switzerland
- Agora Cancer Research Centre Lausanne, 1011 Lausanne, Switzerland
- L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland
| | - Emma Nolan
- Tumour-Host Interaction Laboratory, The Francis Crick Institute, London NW1 1AT, UK
| | - Werner Held
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland
| | - Ilaria Malanchi
- Tumour-Host Interaction Laboratory, The Francis Crick Institute, London NW1 1AT, UK
| | - Johanna A. Joyce
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland
- Ludwig Institute for Cancer Research, University of Lausanne 1011 Lausanne, Switzerland
- Agora Cancer Research Centre Lausanne, 1011 Lausanne, Switzerland
- L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland
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43
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Vázquez-Cabrera G, Škandík M, Roncier N, Real Oualit F, Cruz De Los Santos M, Baleviciute A, Cheray M, Joseph B. ID2-ETS2 axis regulates the transcriptional acquisition of pro-tumoral microglia phenotype in glioma. Cell Death Dis 2024; 15:512. [PMID: 39019900 PMCID: PMC11255298 DOI: 10.1038/s41419-024-06903-3] [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: 02/18/2024] [Revised: 07/04/2024] [Accepted: 07/09/2024] [Indexed: 07/19/2024]
Abstract
Glioblastoma is a highly aggressive brain tumour that creates an immunosuppressive microenvironment. Microglia, the brain's resident immune cells, play a crucial role in this environment. Glioblastoma cells can reprogramme microglia to create a supportive niche that promotes tumour growth. However, the mechanisms controlling the acquisition of a transcriptome associated with a tumour-supportive microglial reactive state are not fully understood. In this study, we investigated changes in the transcriptional profile of BV2 microglia exposed to C6 glioma cells. RNA-sequencing analysis revealed a significant upregulation of microglial inhibitor of DNA binding 1 (Id1) and Id2, helix-loop-helix negative transcription regulatory factors. The concomitant regulation of microglial ETS proto-oncogene 2, transcription factor (ETS2)-target genes, i.e., Dusp6, Fli1, Jun, Hmox1, and Stab1, led us to hypothesize that ETS2 could be regulated by ID proteins. In fact, ID2-ETS2 protein interactions increased in microglia exposed to glioma cells. In addition, perturbation of the ID2-ETS2 transcriptional axis influenced the acquisition of a microglial tumour-supportive phenotype. ID2 and ETS2 genes were found to be expressed by the tumour-associated microglia isolated from human glioblastoma tumour biopsies. Furthermore, ID2 and ETS2 gene expressions exhibited inverse prognostic values in patients with glioma in cohorts from The Cancer Genome Atlas. Collectively, our findings indicate that the regulation of ETS2 by ID2 plays a role in the transcriptional regulation of microglia in response to stimuli originating from glioblastoma cells, information that could lead to developing therapeutic strategies to manipulate microglial tumour-trophic functions.
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Affiliation(s)
| | - Martin Škandík
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Noémie Roncier
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Farah Real Oualit
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Austeja Baleviciute
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Mathilde Cheray
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Bertrand Joseph
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
- Center for Neuromusculoskeletal Restorative Medicine, Shui On Centre, Wan Chai, Hong Kong.
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44
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Levine AB, Nobre L, Das A, Milos S, Bianchi V, Johnson M, Fernandez NR, Stengs L, Ryall S, Ku M, Rana M, Laxer B, Sheth J, Sbergio SG, Fedoráková I, Ramaswamy V, Bennett J, Siddaway R, Tabori U, Hawkins C. Immuno-oncologic profiling of pediatric brain tumors reveals major clinical significance of the tumor immune microenvironment. Nat Commun 2024; 15:5790. [PMID: 38987542 PMCID: PMC11237052 DOI: 10.1038/s41467-024-49595-1] [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: 11/14/2023] [Accepted: 06/06/2024] [Indexed: 07/12/2024] Open
Abstract
With the success of immunotherapy in cancer, understanding the tumor immune microenvironment (TIME) has become increasingly important; however in pediatric brain tumors this remains poorly characterized. Accordingly, we developed a clinical immune-oncology gene expression assay and used it to profile a diverse range of 1382 samples with detailed clinical and molecular annotation. In low-grade gliomas we identify distinct patterns of immune activation with prognostic significance in BRAF V600E-mutant tumors. In high-grade gliomas, we observe immune activation and T-cell infiltrates in tumors that have historically been considered immune cold, as well as genomic correlates of inflammation levels. In mismatch repair deficient high-grade gliomas, we find that high tumor inflammation signature is a significant predictor of response to immune checkpoint inhibition, and demonstrate the potential for multimodal biomarkers to improve treatment stratification. Importantly, while overall patterns of immune activation are observed for histologically and genetically defined tumor types, there is significant variability within each entity, indicating that the TIME must be evaluated as an independent feature from diagnosis. In sum, in addition to the histology and molecular profile, this work underscores the importance of reporting on the TIME as an essential axis of cancer diagnosis in the era of personalized medicine.
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Affiliation(s)
- Adrian B Levine
- Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
- Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, ON, Canada
- Clinician Investigator Program, University of British Columbia, Vancouver, BC, Canada
| | - Liana Nobre
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
- Department of Paediatrics, University of Alberta, Edmonton, AB, Canada
| | - Anirban Das
- Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
- Neuro-Oncology Unit, Division of Haematology Oncology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Scott Milos
- Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - Vanessa Bianchi
- Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - Monique Johnson
- Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - Nicholas R Fernandez
- Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - Lucie Stengs
- Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - Scott Ryall
- Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Michelle Ku
- Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - Mansuba Rana
- Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - Benjamin Laxer
- Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - Javal Sheth
- Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - Stefanie-Grace Sbergio
- Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Ivana Fedoráková
- Clinic of Pediatric Oncology and Hematology, University Children's Hospital, Banská Bystrica, Slovakia
| | - Vijay Ramaswamy
- Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
- Neuro-Oncology Unit, Division of Haematology Oncology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Julie Bennett
- Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
- Neuro-Oncology Unit, Division of Haematology Oncology, The Hospital for Sick Children, Toronto, ON, Canada
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Robert Siddaway
- Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, ON, Canada
| | - Uri Tabori
- Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
- Neuro-Oncology Unit, Division of Haematology Oncology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Cynthia Hawkins
- Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada.
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
- Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, ON, Canada.
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45
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Verhey TB, Seo H, Gillmor A, Thoppey-Manoharan V, Schriemer D, Morrissy S. mosaicMPI: a framework for modular data integration across cohorts and -omics modalities. Nucleic Acids Res 2024; 52:e53. [PMID: 38813827 PMCID: PMC11229337 DOI: 10.1093/nar/gkae442] [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: 09/02/2023] [Revised: 04/26/2024] [Accepted: 05/10/2024] [Indexed: 05/31/2024] Open
Abstract
Advances in molecular profiling have facilitated generation of large multi-modal datasets that can potentially reveal critical axes of biological variation underlying complex diseases. Distilling biological meaning, however, requires computational strategies that can perform mosaic integration across diverse cohorts and datatypes. Here, we present mosaicMPI, a framework for discovery of low to high-resolution molecular programs representing both cell types and states, and integration within and across datasets into a network representing biological themes. Using existing datasets in glioblastoma, we demonstrate that this approach robustly integrates single cell and bulk programs across multiple platforms. Clinical and molecular annotations from cohorts are statistically propagated onto this network of programs, yielding a richly characterized landscape of biological themes. This enables deep understanding of individual tumor samples, systematic exploration of relationships between modalities, and generation of a reference map onto which new datasets can rapidly be mapped. mosaicMPI is available at https://github.com/MorrissyLab/mosaicMPI.
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Affiliation(s)
- Theodore B Verhey
- Department of Biochemistry and Molecular Biology, University of Calgary, Calgary, Alberta, Canada
- Charbonneau Cancer institute, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Heewon Seo
- Department of Biochemistry and Molecular Biology, University of Calgary, Calgary, Alberta, Canada
- Charbonneau Cancer institute, University of Calgary, Calgary, Alberta, Canada
| | - Aaron Gillmor
- Department of Biochemistry and Molecular Biology, University of Calgary, Calgary, Alberta, Canada
- Charbonneau Cancer institute, University of Calgary, Calgary, Alberta, Canada
| | - Varsha Thoppey-Manoharan
- Department of Biochemistry and Molecular Biology, University of Calgary, Calgary, Alberta, Canada
- Charbonneau Cancer institute, University of Calgary, Calgary, Alberta, Canada
| | - David Schriemer
- Department of Biochemistry and Molecular Biology, University of Calgary, Calgary, Alberta, Canada
- Charbonneau Cancer institute, University of Calgary, Calgary, Alberta, Canada
| | - Sorana Morrissy
- Department of Biochemistry and Molecular Biology, University of Calgary, Calgary, Alberta, Canada
- Charbonneau Cancer institute, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
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Yuan X, Ma Y, Gao R, Cui S, Wang Y, Fa B, Ma S, Wei T, Ma S, Yu Z. HEARTSVG: a fast and accurate method for identifying spatially variable genes in large-scale spatial transcriptomics. Nat Commun 2024; 15:5700. [PMID: 38972896 PMCID: PMC11228050 DOI: 10.1038/s41467-024-49846-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 06/19/2024] [Indexed: 07/09/2024] Open
Abstract
Identifying spatially variable genes (SVGs) is crucial for understanding the spatiotemporal characteristics of diseases and tissue structures, posing a distinctive challenge in spatial transcriptomics research. We propose HEARTSVG, a distribution-free, test-based method for fast and accurately identifying spatially variable genes in large-scale spatial transcriptomic data. Extensive simulations demonstrate that HEARTSVG outperforms state-of-the-art methods with higherF 1 scores (averageF 1 Score=0.948), improved computational efficiency, scalability, and reduced false positives (FPs). Through analysis of twelve real datasets from various spatial transcriptomic technologies, HEARTSVG identifies a greater number of biologically significant SVGs (average AUC = 0.792) than other comparative methods without prespecifying spatial patterns. Furthermore, by clustering SVGs, we uncover two distinct tumor spatial domains characterized by unique spatial expression patterns, spatial-temporal locations, and biological functions in human colorectal cancer data, unraveling the complexity of tumors.
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Affiliation(s)
- Xin Yuan
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- SJTU-Yale Joint Center for Biostatistics and Data Science Organization, Shanghai Jiao Tong University, Shanghai, China
| | - Yanran Ma
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Ruitian Gao
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Shuya Cui
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- SJTU-Yale Joint Center for Biostatistics and Data Science Organization, Shanghai Jiao Tong University, Shanghai, China
| | - Yifan Wang
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Botao Fa
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xi'an Jiaotong University, Xi'an, Shanxi, China
| | - Shiyang Ma
- Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ting Wei
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Shuangge Ma
- SJTU-Yale Joint Center for Biostatistics and Data Science Organization, Shanghai Jiao Tong University, Shanghai, China.
- Department of Biostatistics, Yale University, New Haven, USA.
| | - Zhangsheng Yu
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
- SJTU-Yale Joint Center for Biostatistics and Data Science Organization, Shanghai Jiao Tong University, Shanghai, China.
- Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Center for Biomedical Data Science, Translational Science Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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47
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Wu C, Li Y, Luo Y, Dai Y, Qin J, Liu N, Xu R, Li X, Zhang P. Analysis of glutathione Stransferase mu class 5 gene methylation as a prognostic indicator in low-grade gliomas. Technol Health Care 2024:THC231316. [PMID: 39031395 DOI: 10.3233/thc-231316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/22/2024]
Abstract
BACKGROUND Low-grade gliomas (LGG) are a variety of brain tumors that show different clinical outcomes. The methylation of the GSTM5 gene has been noted in the development of LGG, however, its prognostic importance remains uncertain. OBJECTIVE The objective of this study was to examine the correlation between GSTM5 DNA methylation and clinical outcomes in individuals diagnosed with LGG. METHODS Analysis of GSTM5 methylation levels in LGG samples was conducted using data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets. The overall survival based on GSTM5 methylation status was evaluated using Kaplan-Meier curves. The DNA methylation heatmap for particular CpG sites in the GSTM5 gene was visualized using the "pheatmap" R package. RESULTS The study analyzed that LGG tumors had higher levels of GSTM5 methylation than normal tissues. There was an inverse relationship discovered between GSTM5 expression and methylation. LGG patients with hypermethylation of GSTM5 promoter experienced a positive outcome. Age, grade, and GSTM5 methylation were determined as independent prognostic factors in LGG through both univariate and multivariate Cox regression analyses. CONCLUSION Methylation of GSTM5 DNA, specifically at certain CpG sites, is linked to a positive outlook in patients with LGG. Utilizing the "pheatmap" R package to visualize GSTM5 methylation patterns offers important information for identifying prognostic markers and therapeutic targets in low-grade gliomas.
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Affiliation(s)
- Cuiying Wu
- Department of Neurosurgery, The Seventh Medical Centre of PLA General Hospital, Beijing, China
- Department of Neurobiology, Beijing Institute of Basic Medical Sciences, Beijing, China
- Department of Neurosurgery, The Seventh Medical Centre of PLA General Hospital, Beijing, China
| | - Yunjun Li
- Department of Neurosurgery, Senior Department of Neurosurgery, The First Medical Centre of PLA General Hospital, Beijing, China
- Department of Neurosurgery, The Seventh Medical Centre of PLA General Hospital, Beijing, China
| | - Yongchun Luo
- Department of Neurosurgery, Senior Department of Neurosurgery, The First Medical Centre of PLA General Hospital, Beijing, China
| | - Yiwu Dai
- Department of Neurosurgery, Senior Department of Neurosurgery, The First Medical Centre of PLA General Hospital, Beijing, China
| | - Jiazhen Qin
- Department of Neurosurgery, Senior Department of Neurosurgery, The First Medical Centre of PLA General Hospital, Beijing, China
| | - Ning Liu
- Department of Neurosurgery, The Seventh Medical Centre of PLA General Hospital, Beijing, China
| | - Ruxiang Xu
- Department of Neurosurgery, Sichuan Academy of Medical Science and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xuezhen Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Peng Zhang
- Department of Neurosurgery, The Seventh Medical Centre of PLA General Hospital, Beijing, China
- Department of Neurosurgery, Senior Department of Neurosurgery, The First Medical Centre of PLA General Hospital, Beijing, China
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48
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Yang Y, Jin X, Xie Y, Ning C, Ai Y, Wei H, Xu X, Ge X, Yi T, Huang Q, Yang X, Jiang T, Wang X, Piao Y, Jin X. The CEBPB + glioblastoma subcluster specifically drives the formation of M2 tumor-associated macrophages to promote malignancy growth. Theranostics 2024; 14:4107-4126. [PMID: 38994023 PMCID: PMC11234274 DOI: 10.7150/thno.93473] [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: 12/21/2023] [Accepted: 06/24/2024] [Indexed: 07/13/2024] Open
Abstract
Rationale: The heterogeneity of tumor cells within the glioblastoma (GBM) microenvironment presents a complex challenge in curbing GBM progression. Understanding the specific mechanisms of interaction between different GBM cell subclusters and non-tumor cells is crucial. Methods: In this study, we utilized a comprehensive approach integrating glioma single-cell and spatial transcriptomics. This allowed us to examine the molecular interactions and spatial localization within GBM, focusing on a specific tumor cell subcluster, GBM subcluster 6, and M2-type tumor-associated macrophages (M2 TAMs). Results: Our analysis revealed a significant correlation between a specific tumor cell subcluster, GBM cluster 6, and M2-type TAMs. Further in vitro and in vivo experiments demonstrated the specific regulatory role of the CEBPB transcriptional network in GBM subcluster 6, which governs its tumorigenicity, recruitment of M2 TAMs, and polarization. This regulation involves molecules such as MCP1 for macrophage recruitment and the SPP1-Integrin αvβ1-Akt signaling pathway for M2 polarization. Conclusion: Our findings not only deepen our understanding of the formation of M2 TAMs, particularly highlighting the differential roles played by heterogeneous cells within GBM in this process, but also provided new insights for effectively controlling the malignant progression of GBM.
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Affiliation(s)
- Yongchang Yang
- Department of Biochemistry and Molecular Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
- Tianjin Medical University, Tianjin 300060, China
| | - Xingyu Jin
- Department of Biochemistry and Molecular Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
- Tianjin Medical University, Tianjin 300060, China
| | - Yang Xie
- Department of Biochemistry and Molecular Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
- Tianjin Medical University, Tianjin 300060, China
| | - Chunlan Ning
- Department of Biochemistry and Molecular Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
- Tianjin Medical University, Tianjin 300060, China
| | - Yiding Ai
- Department of Biochemistry and Molecular Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
- Tianjin Medical University, Tianjin 300060, China
| | - Haotian Wei
- Tianjin Medical University, Tianjin 300060, China
| | - Xing Xu
- Department of Biochemistry and Molecular Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Xianglian Ge
- Department of Biochemistry and Molecular Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Tailong Yi
- Department of Biochemistry and Molecular Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
| | - Qiang Huang
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Xuejun Yang
- Department of Neurosurgery, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, People's Republic of China
| | - Tao Jiang
- Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Xiaoguang Wang
- Department of Neuro-Oncology and Neurosurgery, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin China
| | - Yingzhe Piao
- Department of Neuro-Oncology and Neurosurgery, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin China
| | - Xun Jin
- Department of Biochemistry and Molecular Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
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49
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Xie P, Yu M, Zhang B, Yu Q, Zhao Y, Wu M, Jin L, Yan J, Zhou B, Liu S, Li X, Zhou C, Zhu X, Huang C, Xu Y, Xiao Y, Zhou J, Fan J, Hung MC, Ye Q, Guo L, Li H. CRKL dictates anti-PD-1 resistance by mediating tumor-associated neutrophil infiltration in hepatocellular carcinoma. J Hepatol 2024; 81:93-107. [PMID: 38403027 DOI: 10.1016/j.jhep.2024.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 01/25/2024] [Accepted: 02/09/2024] [Indexed: 02/27/2024]
Abstract
BACKGROUND & AIMS The effectiveness of immune checkpoint inhibitor (ICI) therapy for hepatocellular carcinoma (HCC) is limited by treatment resistance. However, the mechanisms underlying immunotherapy resistance remain elusive. We aimed to identify the role of CT10 regulator of kinase-like (CRKL) in resistance to anti-PD-1 therapy in HCC. METHODS Gene expression in HCC specimens from 10 patients receiving anti-PD-1 therapy was identified by RNA-sequencing. A total of 404 HCC samples from tissue microarrays were analyzed by immunohistochemistry. Transgenic mice (Alb-Cre/Trp53fl/fl) received hydrodynamic tail vein injections of a CRKL-overexpressing vector. Mass cytometry by time of flight was used to profile the proportion and status of different immune cell lineages in the mouse tumor tissues. RESULTS CRKL was identified as a candidate anti-PD-1-resistance gene using a pooled genetic screen. CRKL overexpression nullifies anti-PD-1 treatment efficacy by mobilizing tumor-associated neutrophils (TANs), which block the infiltration and function of CD8+ T cells. PD-L1+ TANs were found to be an essential subset of TANs that were regulated by CRKL expression and display an immunosuppressive phenotype. Mechanistically, CRKL inhibits APC (adenomatous polyposis coli)-mediated proteasomal degradation of β-catenin by competitively decreasing Axin1 binding, and thus promotes VEGFα and CXCL1 expression. Using human HCC samples, we verified the positive correlations of CRKL/β-catenin/VEGFα and CXCL1. Targeting CRKL using CRISPR-Cas9 gene editing (CRKL knockout) or its downstream regulators effectively restored the efficacy of anti-PD-1 therapy in an orthotopic mouse model and a patient-derived organotypic tumor spheroid model. CONCLUSIONS Activation of the CRKL/β-catenin/VEGFα and CXCL1 axis is a critical obstacle to successful anti-PD-1 therapy. Therefore, CRKL inhibitors combined with anti-PD-1 could be useful for the treatment of HCC. IMPACT AND IMPLICATIONS Here, we found that CRKL was overexpressed in anti-PD-1-resistant hepatocellular carcinoma (HCC) and that CRKL upregulation promotes anti-PD-1 resistance in HCC. We identified that upregulation of the CRKL/β-catenin/VEGFα and CXCL1 axis contributes to anti-PD-1 tolerance by promoting infiltration of tumor-associated neutrophils. These findings support the strategy of bevacizumab-based immune checkpoint inhibitor combination therapy, and CRKL inhibitors combined with anti-PD-1 therapy may be developed for the treatment of HCC.
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MESH Headings
- Carcinoma, Hepatocellular/immunology
- Carcinoma, Hepatocellular/genetics
- Carcinoma, Hepatocellular/drug therapy
- Carcinoma, Hepatocellular/pathology
- Carcinoma, Hepatocellular/metabolism
- Liver Neoplasms/immunology
- Liver Neoplasms/genetics
- Liver Neoplasms/drug therapy
- Liver Neoplasms/pathology
- Liver Neoplasms/metabolism
- Animals
- Humans
- Mice
- Drug Resistance, Neoplasm
- Immune Checkpoint Inhibitors/pharmacology
- Immune Checkpoint Inhibitors/therapeutic use
- Adaptor Proteins, Signal Transducing/genetics
- Adaptor Proteins, Signal Transducing/metabolism
- Neutrophil Infiltration
- Programmed Cell Death 1 Receptor/metabolism
- Programmed Cell Death 1 Receptor/genetics
- Programmed Cell Death 1 Receptor/antagonists & inhibitors
- Mice, Transgenic
- CD8-Positive T-Lymphocytes/immunology
- CD8-Positive T-Lymphocytes/metabolism
- Cell Line, Tumor
- Male
- Chemokine CXCL1/metabolism
- Chemokine CXCL1/genetics
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Affiliation(s)
- Peiyi Xie
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, 200032, P.R. China
| | - Mincheng Yu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, 200032, P.R. China
| | - Bo Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, 200032, P.R. China
| | - Qiang Yu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, 200032, P.R. China.
| | - Yufei Zhao
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, 200032, P.R. China
| | - Mengyuan Wu
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, P.R. China
| | - Lei Jin
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, 200032, P.R. China
| | - Jiuliang Yan
- Department of Pancreatic Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P.R. China
| | - Binghai Zhou
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, P.R. China
| | - Shuang Liu
- Neurosurgery Department of Zhongshan Hospital, Fudan University, Shanghai, 200032, P.R. China
| | - Xiaoqiang Li
- Department of Thoracic Surgery, Peking University Shenzhen Hospital, Shenzhen, 51800, P.R. China
| | - Chenhao Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, 200032, P.R. China
| | - Xiaodong Zhu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, 200032, P.R. China
| | - Cheng Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, 200032, P.R. China
| | - Yongfeng Xu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, 200032, P.R. China
| | - Yongsheng Xiao
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, 200032, P.R. China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, 200032, P.R. China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, 200032, P.R. China
| | - Mien-Chie Hung
- Graduate Institute of Biomedical Sciences, Research Center for Cancer Biology, and Center for Molecular Medicine, China Medical University, Taichung 404, Taiwan.
| | - Qinghai Ye
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, 200032, P.R. China.
| | - Lei Guo
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, 200032, P.R. China.
| | - Hui Li
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, 200032, P.R. China; Shanghai Medical College and Zhongshan Hospital Immunotherapy Technology Translational Research Center, Shanghai, 200031, P.R. China.
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50
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Chouleur T, Emanuelli A, Souleyreau W, Derieppe MA, Leboucq T, Hardy S, Mathivet T, Tremblay ML, Bikfalvi A. PTP4A2 Promotes Glioblastoma Progression and Macrophage Polarization under Microenvironmental Pressure. CANCER RESEARCH COMMUNICATIONS 2024; 4:1702-1714. [PMID: 38904264 PMCID: PMC11238266 DOI: 10.1158/2767-9764.crc-23-0334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 05/07/2024] [Accepted: 06/18/2024] [Indexed: 06/22/2024]
Abstract
Phosphatase of regenerating liver 2 (also known as PTP4A2) has been linked to cancer progression. Still, its exact role in glioblastoma (GBM), the most aggressive type of primary brain tumor, remains elusive. In this study, we report that pharmacologic treatment using JMS-053, a pan-phosphatase of regenerating liver inhibitor, inhibits GBM cell viability and spheroid growth. We also show that PTP4A2 is associated with a poor prognosis in gliomas, and its expression correlates with GBM aggressiveness. Using a GBM orthotopic xenograft model, we show that PTP4A2 overexpression promotes tumor growth and reduces mouse survival. Furthermore, PTP4A2 deletion leads to increased apoptosis and proinflammatory signals. Using a syngeneic GBM model, we show that depletion of PTP4A2 reduces tumor growth and induces a shift in the tumor microenvironment (TME) toward an immunosuppressive state. In vitro assays show that cell proliferation is not affected in PTP4A2-deficient or -overexpressing cells, highlighting the importance of the microenvironment in PTP4A2 functions. Collectively, our results indicate that PTP4A2 promotes GBM growth in response to microenvironmental pressure and support the rationale for targeting PTP4A2 as a therapeutic strategy against GBM. SIGNIFICANCE High levels of PTP4A2 are associated with poor outcomes in patients with glioma and in mouse models. PTP4A2 depletion increases apoptosis and proinflammatory signals in GBM xenograft models, significantly impacts tumor growth, and rewires the TME in an immunocompetent host. PTP4A2 effects in GBM are dependent on the presence of the TME.
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Affiliation(s)
- Tiffanie Chouleur
- INSERM U1312 BRIC, Université de Bordeaux, Pessac, France
- Rosalind and Morris Goodman Cancer Institute, McGill University, Montreal, Canada
| | | | | | - Marie-Alix Derieppe
- Animalerie Mutualisée, Service Commun des Animaleries, Université de Bordeaux Bordeaux, France
| | - Téo Leboucq
- INSERM U1312 BRIC, Université de Bordeaux, Pessac, France
| | - Serge Hardy
- Rosalind and Morris Goodman Cancer Institute, McGill University, Montreal, Canada
| | | | - Michel L Tremblay
- Rosalind and Morris Goodman Cancer Institute, McGill University, Montreal, Canada
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