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Gong LJ, Lv J, Wang XY, Wu X, Li DW, Qian RC. Analysis of vibrational dynamics in cell-substrate interactions using nanopipette electrochemical sensors. Biosens Bioelectron 2024; 259:116385. [PMID: 38759310 DOI: 10.1016/j.bios.2024.116385] [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: 02/13/2024] [Revised: 05/01/2024] [Accepted: 05/11/2024] [Indexed: 05/19/2024]
Abstract
Cell-substrate interaction plays a critical role in determining the mechanical status of living cell membrane. Changes of substrate surface properties can significantly alter the cell mechanical microenvironment, leading to mechanical changes of cell membrane. However, it is still difficult to accurately quantify the influence of the substrate surface properties on the mechanical status of living cell membrane without damage. This study addresses the challenge by using an electrochemical sensor made from an ultrasmall quartz nanopipette. With the tip diameter less than 100 nm, the nanopipette-based sensor achieves highly sensitive, noninvasive and label-free monitoring of the mechanical status of single living cells by collecting stable cyclic membrane oscillatory signals from continuous current versus time traces. The electrochemical signals collected from PC12 cells cultured on three different substrates (bare ITO (indium tin oxides) glass, hydroxyl modified ITO glass, amino modified ITO glass) indicate that the microenvironment more favorable for cell adhesion can increase the membrane stiffness. This work provides a label-free electrochemical approach to accurately quantify the mechanical status of single living cells in real-time, which may help to better understand the relationship between the cell membrane and the extra cellular matrix.
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Affiliation(s)
- Li-Juan Gong
- Key Laboratory for Advanced Materials, Joint Key Laboratory for Advanced Materials, Joint Research Center, Joint International Laboratory for Precision Chemistry, Frontiers Science Center for Materiobiology & Dynamic Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, PR China
| | - Jian Lv
- Key Laboratory for Advanced Materials, Joint Key Laboratory for Advanced Materials, Joint Research Center, Joint International Laboratory for Precision Chemistry, Frontiers Science Center for Materiobiology & Dynamic Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, PR China.
| | - Xiao-Yuan Wang
- Key Laboratory for Advanced Materials, Joint Key Laboratory for Advanced Materials, Joint Research Center, Joint International Laboratory for Precision Chemistry, Frontiers Science Center for Materiobiology & Dynamic Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, PR China
| | - Xue Wu
- Key Laboratory for Advanced Materials, Joint Key Laboratory for Advanced Materials, Joint Research Center, Joint International Laboratory for Precision Chemistry, Frontiers Science Center for Materiobiology & Dynamic Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, PR China
| | - Da-Wei Li
- Key Laboratory for Advanced Materials, Joint Key Laboratory for Advanced Materials, Joint Research Center, Joint International Laboratory for Precision Chemistry, Frontiers Science Center for Materiobiology & Dynamic Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, PR China
| | - Ruo-Can Qian
- Key Laboratory for Advanced Materials, Joint Key Laboratory for Advanced Materials, Joint Research Center, Joint International Laboratory for Precision Chemistry, Frontiers Science Center for Materiobiology & Dynamic Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, PR China.
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2
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Liu J, Cao S, Imbach KJ, Gritsenko MA, Lih TSM, Kyle JE, Yaron-Barir TM, Binder ZA, Li Y, Strunilin I, Wang YT, Tsai CF, Ma W, Chen L, Clark NM, Shinkle A, Naser Al Deen N, Caravan W, Houston A, Simin FA, Wyczalkowski MA, Wang LB, Storrs E, Chen S, Illindala R, Li YD, Jayasinghe RG, Rykunov D, Cottingham SL, Chu RK, Weitz KK, Moore RJ, Sagendorf T, Petyuk VA, Nestor M, Bramer LM, Stratton KG, Schepmoes AA, Couvillion SP, Eder J, Kim YM, Gao Y, Fillmore TL, Zhao R, Monroe ME, Southard-Smith AN, Li YE, Jui-Hsien Lu R, Johnson JL, Wiznerowicz M, Hostetter G, Newton CJ, Ketchum KA, Thangudu RR, Barnholtz-Sloan JS, Wang P, Fenyö D, An E, Thiagarajan M, Robles AI, Mani DR, Smith RD, Porta-Pardo E, Cantley LC, Iavarone A, Chen F, Mesri M, Nasrallah MP, Zhang H, Resnick AC, Chheda MG, Rodland KD, Liu T, Ding L. Multi-scale signaling and tumor evolution in high-grade gliomas. Cancer Cell 2024; 42:1217-1238.e19. [PMID: 38981438 DOI: 10.1016/j.ccell.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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 03/12/2024] [Accepted: 06/10/2024] [Indexed: 07/11/2024]
Abstract
Although genomic anomalies in glioblastoma (GBM) have been well studied for over a decade, its 5-year survival rate remains lower than 5%. We seek to expand the molecular landscape of high-grade glioma, composed of IDH-wildtype GBM and IDH-mutant grade 4 astrocytoma, by integrating proteomic, metabolomic, lipidomic, and post-translational modifications (PTMs) with genomic and transcriptomic measurements to uncover multi-scale regulatory interactions governing tumor development and evolution. Applying 14 proteogenomic and metabolomic platforms to 228 tumors (212 GBM and 16 grade 4 IDH-mutant astrocytoma), including 28 at recurrence, plus 18 normal brain samples and 14 brain metastases as comparators, reveals heterogeneous upstream alterations converging on common downstream events at the proteomic and metabolomic levels and changes in protein-protein interactions and glycosylation site occupancy at recurrence. Recurrent genetic alterations and phosphorylation events on PTPN11 map to important regulatory domains in three dimensions, suggesting a central role for PTPN11 signaling across high-grade gliomas.
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Affiliation(s)
- Jingxian Liu
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Song Cao
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Kathleen J Imbach
- Josep Carreras Leukaemia Research Institute, Badalona, Spain; Universidad Autónoma de Barcelona, 08193 Bellaterra, Barcelona, Spain
| | - Marina A Gritsenko
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Tung-Shing M Lih
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Jennifer E Kyle
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Tomer M Yaron-Barir
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10021, USA; Englander Institute for Precision Medicine, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA; Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Zev A Binder
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Yize Li
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Ilya Strunilin
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Yi-Ting Wang
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Chia-Feng Tsai
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Weiping Ma
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Lijun Chen
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Natalie M Clark
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Andrew Shinkle
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Nataly Naser Al Deen
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Wagma Caravan
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Andrew Houston
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Faria Anjum Simin
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Matthew A Wyczalkowski
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Liang-Bo Wang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Erik Storrs
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Siqi Chen
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Ritvik Illindala
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63130, USA; Department of Neurology, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Yuping D Li
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63130, USA; Department of Neurology, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Reyka G Jayasinghe
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Dmitry Rykunov
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sandra L Cottingham
- Department of Pathology, Spectrum Health and Helen DeVos Children's Hospital, Grand Rapids, MI, USA
| | - Rosalie K Chu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Karl K Weitz
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Ronald J Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Tyler Sagendorf
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Vladislav A Petyuk
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Michael Nestor
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Lisa M Bramer
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Kelly G Stratton
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Athena A Schepmoes
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Sneha P Couvillion
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Josie Eder
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Young-Mo Kim
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Yuqian Gao
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Thomas L Fillmore
- Department of Pathology, Spectrum Health and Helen DeVos Children's Hospital, Grand Rapids, MI, USA
| | - Rui Zhao
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Matthew E Monroe
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Austin N Southard-Smith
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Yang E Li
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Neurosurgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Rita Jui-Hsien Lu
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Jared L Johnson
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10021, USA
| | - Maciej Wiznerowicz
- International Institute for Molecular Oncology, Poznań, Poland; Poznan University of Medical Sciences, Poznań, Poland
| | | | | | | | | | - Jill S Barnholtz-Sloan
- Center for Biomedical Informatics and Information Technology & Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20850, USA
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - David Fenyö
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Eunkyung An
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | | | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - D R Mani
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Richard D Smith
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | | | - Lewis C Cantley
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10021, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA; Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Antonio Iavarone
- Department of Neurological Surgery and Department of Biochemistry, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Feng Chen
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Mehdi Mesri
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - MacLean P Nasrallah
- Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hui Zhang
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Department of Urology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Adam C Resnick
- Center for Data Driven Discovery in Biomedicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Neurosurgery, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Milan G Chheda
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63130, USA; Department of Neurology, Washington University in St. Louis, St. Louis, MO 63130, USA.
| | - Karin D Rodland
- Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR 97221, USA.
| | - Tao Liu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA.
| | - Li Ding
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63130, USA; Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA.
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3
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Zhu Y, Zhang Y, He S, Yi S, Feng H, Xia X, Fang X, Gong X, Zhao P. Integrating single-nucleus RNA sequencing and spatial transcriptomics to elucidate a specialized subpopulation of astrocytes, microglia and vascular cells in brains of mouse model of lipopolysaccharide-induced sepsis-associated encephalopathy. J Neuroinflammation 2024; 21:169. [PMID: 38961424 PMCID: PMC11223438 DOI: 10.1186/s12974-024-03161-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 06/26/2024] [Indexed: 07/05/2024] Open
Abstract
BACKGROUND Understanding the mechanism behind sepsis-associated encephalopathy (SAE) remains a formidable task. This study endeavors to shed light on the complex cellular and molecular alterations that occur in the brains of a mouse model with SAE, ultimately unraveling the underlying mechanisms of this condition. METHODS We established a murine model using intraperitoneal injection of lipopolysaccharide (LPS) in wild type and Anxa1-/- mice and collected brain tissues for analysis at 0-hour, 12-hour, 24-hour, and 72-hour post-injection. Utilizing advanced techniques such as single-nucleus RNA sequencing (snRNA-seq) and Stereo-seq, we conducted a comprehensive characterization of the cellular responses and molecular patterns within the brain. RESULTS Our study uncovered notable temporal differences in the response to LPS challenge between Anxa1-/- (annexin A1 knockout) and wild type mice, specifically at the 12-hour and 24-hour time points following injection. We observed a significant increase in the proportion of Astro-2 and Micro-2 cells in these mice. These cells exhibited a colocalization pattern with the vascular subtype Vas-1, forming a distinct region known as V1A2M2, where Astro-2 and Micro-2 cells surrounded Vas-1. Moreover, through further analysis, we discovered significant upregulation of ligands and receptors such as Timp1-Cd63, Timp1-Itgb1, Timp1-Lrp1, as well as Ccl2-Ackr1 and Cxcl2-Ackr1 within this region. In addition, we observed a notable increase in the expression of Cd14-Itgb1, Cd14-Tlr2, and Cd14-C3ar1 in regions enriched with Micro-2 cells. Additionally, Cxcl10-Sdc4 showed broad upregulation in brain regions containing both Micro-2 and Astro-2 cells. Notably, upon LPS challenge, there was an observed increase in Anxa1 expression in the mouse brain. Furthermore, our study revealed a noteworthy increase in mortality rates following Anxa1 knockdown. However, we did not observe substantial differences in the types, numbers, or distribution of other brain cells between Anxa1-/- and wildtype mice over time. Nevertheless, when comparing the 24-hour post LPS injection time point, we observed a significant decrease in the proportion and distribution of Micro-2 and Astro-2 cells in the vicinity of blood vessels in Anxa1-/- mice. Additionally, we noted reduced expression levels of several ligand-receptor pairs including Cd14-Tlr2, Cd14-C3ar1, Cd14-Itgb1, Cxcl10-Sdc4, Ccl2-Ackr1, and Cxcl2-Ackr1. CONCLUSIONS By combining snRNA-seq and Stereo-seq techniques, our study successfully identified a distinctive cellular colocalization, referred to as a special pathological niche, comprising Astro-2, Micro-2, and Vas-1 cells. Furthermore, we observed an upregulation of ligand-receptor pairs within this niche. These findings suggest a potential association between this cellular arrangement and the underlying mechanisms contributing to SAE or the increased mortality observed in Anxa1 knockdown mice.
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Grants
- 2021A1515012429 Natural Science Foundation of Guangdong Province, China
- 211102114530659 Shaoguan Municipal Science and Technology Program, China
- 20221807 Shaoguan Engineering Research Center for Research and Development of Molecular and Cellular Technology in Rapid Diagnosis of Infectious Diseases and Cancer Program, China
- KEYANSHEN (2023) 01 Research Fund for Joint Laboratory for Digital and Precise Detection of Clinical Pathogens, Yuebei People's Hospital Affiliated to Shantou University Medical College, China
- RS202001 Research Project for Outstanding Scholar of Yuebei People's Hospital, Shantou University Medical College, China
- Research Fund for Joint Laboratory for Digital and Precise Detection of Clinical Pathogens, Yuebei People’s Hospital Affiliated to Shantou University Medical College, China
- Research Project for Outstanding Scholar of Yuebei People’s Hospital, Shantou University Medical College, China
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Affiliation(s)
- Yanyan Zhu
- Department of Laboratory Medicine, Yuebei People's Hospital, Shantou University Medical College, No 133, Huimin Road South, Wujiang District, Shaoguan, 512025, China
- Laboratory for Diagnosis of Clinical Microbiology and Infection, Yuebei People's Hospital, Shantou University Medical College, Shaoguan, 512025, China
- Research Center for Interdisciplinary & High-quality Innovative Development in Laboratory Medicine, Shaoguan, 512025, China
- Shaoguan Municipal Quality Control Center for Laboratory Medicine, Yuebei People's Hospital, Shantou University Medical College, Shaoguan, 512025, China
- Shaoguan Municipal Quality Control Center for Surveillance of Bacterial Resistance, Shaoguan, 512025, China
- Shaoguan Engineering Research Center for Research and Development of Molecular and Cellular Technology in Rapid Diagnosis of Infectious Diseases and Cancer, Shaoguan, 512025, China
| | - Yin Zhang
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Sheng He
- Department of Laboratory Medicine, Yuebei People's Hospital, Shantou University Medical College, No 133, Huimin Road South, Wujiang District, Shaoguan, 512025, China
- Laboratory for Diagnosis of Clinical Microbiology and Infection, Yuebei People's Hospital, Shantou University Medical College, Shaoguan, 512025, China
- Research Center for Interdisciplinary & High-quality Innovative Development in Laboratory Medicine, Shaoguan, 512025, China
- Shaoguan Municipal Quality Control Center for Laboratory Medicine, Yuebei People's Hospital, Shantou University Medical College, Shaoguan, 512025, China
- Shaoguan Municipal Quality Control Center for Surveillance of Bacterial Resistance, Shaoguan, 512025, China
- Shaoguan Engineering Research Center for Research and Development of Molecular and Cellular Technology in Rapid Diagnosis of Infectious Diseases and Cancer, Shaoguan, 512025, China
| | - Sanjun Yi
- Department of Laboratory Medicine, Yuebei People's Hospital, Shantou University Medical College, No 133, Huimin Road South, Wujiang District, Shaoguan, 512025, China
- Laboratory for Diagnosis of Clinical Microbiology and Infection, Yuebei People's Hospital, Shantou University Medical College, Shaoguan, 512025, China
- Research Center for Interdisciplinary & High-quality Innovative Development in Laboratory Medicine, Shaoguan, 512025, China
- Shaoguan Municipal Quality Control Center for Laboratory Medicine, Yuebei People's Hospital, Shantou University Medical College, Shaoguan, 512025, China
- Shaoguan Municipal Quality Control Center for Surveillance of Bacterial Resistance, Shaoguan, 512025, China
- Shaoguan Engineering Research Center for Research and Development of Molecular and Cellular Technology in Rapid Diagnosis of Infectious Diseases and Cancer, Shaoguan, 512025, China
| | - Hao Feng
- Jiaxing University Master Degree Cultivation Base, Zhejiang Chinese Medical University, Jiaxing, 314001, China
| | - Xianzhu Xia
- Department of Laboratory Medicine, Yuebei People's Hospital, Shantou University Medical College, No 133, Huimin Road South, Wujiang District, Shaoguan, 512025, China
- Laboratory for Diagnosis of Clinical Microbiology and Infection, Yuebei People's Hospital, Shantou University Medical College, Shaoguan, 512025, China
- Research Center for Interdisciplinary & High-quality Innovative Development in Laboratory Medicine, Shaoguan, 512025, China
| | | | - Xiaoqian Gong
- Yuebei People's Hospital, Shantou University Medical College, Shaoguan, 512025, China.
| | - Pingsen Zhao
- Department of Laboratory Medicine, Yuebei People's Hospital, Shantou University Medical College, No 133, Huimin Road South, Wujiang District, Shaoguan, 512025, China.
- Laboratory for Diagnosis of Clinical Microbiology and Infection, Yuebei People's Hospital, Shantou University Medical College, Shaoguan, 512025, China.
- Research Center for Interdisciplinary & High-quality Innovative Development in Laboratory Medicine, Shaoguan, 512025, China.
- Shaoguan Municipal Quality Control Center for Laboratory Medicine, Yuebei People's Hospital, Shantou University Medical College, Shaoguan, 512025, China.
- Shaoguan Municipal Quality Control Center for Surveillance of Bacterial Resistance, Shaoguan, 512025, China.
- Shaoguan Engineering Research Center for Research and Development of Molecular and Cellular Technology in Rapid Diagnosis of Infectious Diseases and Cancer, Shaoguan, 512025, China.
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4
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Wu Z, Yang Y, Chen M, Zha Y. Matrix metalloproteinase 9 expression and glioblastoma survival prediction using machine learning on digital pathological images. Sci Rep 2024; 14:15065. [PMID: 38956384 PMCID: PMC11220146 DOI: 10.1038/s41598-024-66105-x] [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: 04/18/2024] [Accepted: 06/27/2024] [Indexed: 07/04/2024] Open
Abstract
This study aimed to apply pathomics to predict Matrix metalloproteinase 9 (MMP9) expression in glioblastoma (GBM) and investigate the underlying molecular mechanisms associated with pathomics. Here, we included 127 GBM patients, 78 of whom were randomly allocated to the training and test cohorts for pathomics modeling. The prognostic significance of MMP9 was assessed using Kaplan-Meier and Cox regression analyses. PyRadiomics was used to extract the features of H&E-stained whole slide images. Feature selection was performed using the maximum relevance and minimum redundancy (mRMR) and recursive feature elimination (RFE) algorithms. Prediction models were created using support vector machines (SVM) and logistic regression (LR). The performance was assessed using ROC analysis, calibration curve assessment, and decision curve analysis. MMP9 expression was elevated in patients with GBM. This was an independent prognostic factor for GBM. Six features were selected for the pathomics model. The area under the curves (AUCs) of the training and test subsets were 0.828 and 0.808, respectively, for the SVM model and 0.778 and 0.754, respectively, for the LR model. The C-index and calibration plots exhibited effective estimation abilities. The pathomics score calculated using the SVM model was highly correlated with overall survival time. These findings indicate that MMP9 plays a crucial role in GBM development and prognosis. Our pathomics model demonstrated high efficacy for predicting MMP9 expression levels and prognosis of patients with GBM.
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Affiliation(s)
- Zijun Wu
- Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, 430000, China
| | - Yuan Yang
- Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, 430000, China
| | - Maojuan Chen
- Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, 430000, China
| | - Yunfei Zha
- Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, 430000, China.
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5
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Yadav P, Vengoji R, Jain M, Batra SK, Shonka N. Pathophysiological role of histamine signaling and its implications in glioblastoma. Biochim Biophys Acta Rev Cancer 2024:189146. [PMID: 38955315 DOI: 10.1016/j.bbcan.2024.189146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 06/21/2024] [Accepted: 06/27/2024] [Indexed: 07/04/2024]
Abstract
Glioblastoma (GBM), an extremely aggressive and prevalent malignant brain tumor, remains a challenge to treat. Despite a multimodality treatment approach, GBM recurrence remains inevitable, particularly with the emergence of temozolomide (TMZ) resistance and limited treatment options. Surprisingly, previous studies show that a history of allergies, atopy, or asthma is inversely associated with GBM risk. Further, the electronic medical record at the University Hospital of Lausanne showed that the GBM patients taking antihistamine during treatment had better survival. Histamine is an essential neurotransmitter in the brain and plays a significant role in regulating sleep, hormonal balance, and cognitive functions. Elevated levels of histamine and increased histamine receptor expression have been found in different tumors and their microenvironments, including GBM. High histamine 1 receptor (HRH1) expression has been shown to be inversely related to overall and progression-free survival in GBM patients, further emphasizing the role of histamine in disease progression. This review aims to provide insights into the challenges of GBM treatment, the role of histamine in GBM progression, and the rationale for considering antihistamines as targeted therapy. The review concludes by encouraging further investigation into antihistamine mechanisms and their impact on the tumor microenvironment.
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Affiliation(s)
- Poonam Yadav
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198-5870, USA
| | - Raghupathy Vengoji
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198-5870, USA
| | - Maneesh Jain
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198-5870, USA; Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68198-5870, USA; Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198-5870, USA
| | - Surinder K Batra
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198-5870, USA; Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68198-5870, USA; Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198-5870, USA.
| | - Nicole Shonka
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68198-5870, USA; Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE 68198-5870, USA.
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6
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Chagas PS, Chagas HIS, Naeini SE, Bhandari B, Gouron J, Malta TM, Salles ÉL, Wang LP, Yu JC, Baban B. Network-Based Transcriptome Analysis Reveals FAM3C as a Novel Potential Biomarker for Glioblastoma. J Cell Biochem 2024:e30612. [PMID: 38923575 DOI: 10.1002/jcb.30612] [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: 05/03/2024] [Revised: 05/23/2024] [Accepted: 05/28/2024] [Indexed: 06/28/2024]
Abstract
Glioblastoma (GBM) is the most common form of malignant primary brain tumor with a high mortality rate. The aim of the present study was to investigate the clinical significance of Family with Sequence Similarity 3, Member C, FAM3C, in GBM using bioinformatic-integrated analysis. First, we performed the transcriptomic integration analysis to assess the expression profile of FAM3C in GBM using several data sets (RNA-sequencing and scRNA-sequencing), which were obtained from TCGA and GEO databases. By using the STRING platform, we investigated FAM3C-coregulated genes to construct the protein-protein interaction network. Next, Metascape, Enrichr, and CIBERSORT databases were used. We found FAM3C high expression in GBM with poor survival rates. Further, we observed, via FAM3C coexpression network analysis, that FAM3C plays key roles in several hallmarks of cancer. Surprisingly, we also highlighted five FAM3C‑coregulated genes overexpressed in GBM. Specifically, we demonstrated the association between the high expression of FAM3C and the abundance of the different immune cells, which may markedly worsen GBM prognosis. For the first time, our findings suggest that FAM3C not only can be a new emerging biomarker with promising therapeutic values to GBM patients but also gave a new insight into a potential resource for future GBM studies.
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Affiliation(s)
- Pablo Shimaoka Chagas
- Department of Clinical Analyses, Toxicology and Food Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
- Department of Oral Biology and Diagnostic Sciences, Dental College of Georgia, Augusta University, Augusta, Georgia, USA
- DCG Center for Excellence in Research, Scholarship and Innovation (CERSI) Augusta University, Augusta, Georgia, USA
| | | | - Sahar Emami Naeini
- Department of Oral Biology and Diagnostic Sciences, Dental College of Georgia, Augusta University, Augusta, Georgia, USA
| | - Bidhan Bhandari
- Department of Oral Biology and Diagnostic Sciences, Dental College of Georgia, Augusta University, Augusta, Georgia, USA
| | - Jules Gouron
- DCG Center for Excellence in Research, Scholarship and Innovation (CERSI) Augusta University, Augusta, Georgia, USA
| | - Tathiane M Malta
- Department of Clinical Analyses, Toxicology and Food Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
| | - Évila Lopes Salles
- Department of Oral Biology and Diagnostic Sciences, Dental College of Georgia, Augusta University, Augusta, Georgia, USA
| | - Lei P Wang
- Department of Oral Biology and Diagnostic Sciences, Dental College of Georgia, Augusta University, Augusta, Georgia, USA
- DCG Center for Excellence in Research, Scholarship and Innovation (CERSI) Augusta University, Augusta, Georgia, USA
- Georgia Institute of Cannabis Research, Medicinal Cannabis of Georgia LLC, Augusta, Georgia, USA
| | - Jack C Yu
- Department of Surgery, Medical College of Georgia, Augusta University, Augusta, Georgia, USA
| | - Babak Baban
- Department of Oral Biology and Diagnostic Sciences, Dental College of Georgia, Augusta University, Augusta, Georgia, USA
- DCG Center for Excellence in Research, Scholarship and Innovation (CERSI) Augusta University, Augusta, Georgia, USA
- Georgia Institute of Cannabis Research, Medicinal Cannabis of Georgia LLC, Augusta, Georgia, USA
- Department of Neurology, Medical College of Georgia, Augusta University, Augusta, Georgia, USA
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7
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Weller J, Potthoff AL, Zeyen T, Schaub C, Duffy C, Schneider M, Herrlinger U. Current status of precision oncology in adult glioblastoma. Mol Oncol 2024. [PMID: 38899374 DOI: 10.1002/1878-0261.13678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 04/05/2024] [Accepted: 05/28/2024] [Indexed: 06/21/2024] Open
Abstract
The concept of precision oncology, the application of targeted drugs based on comprehensive molecular profiling, has revolutionized treatment strategies in oncology. This review summarizes the current status of precision oncology in glioblastoma (GBM), the most common and aggressive primary brain tumor in adults with a median survival below 2 years. Targeted treatments without prior target verification have consistently failed. Patients with BRAF V600E-mutated GBM benefit from BRAF/MEK-inhibition, whereas targeting EGFR alterations was unsuccessful due to poor tumor penetration, tumor cell heterogeneity, and pathway redundancies. Systematic screening for actionable molecular alterations resulted in low rates (< 10%) of targeted treatments. Efficacy was observed in one-third and currently appears to be limited to BRAF-, VEGFR-, and mTOR-directed treatments. Advancing precision oncology for GBM requires consideration of pathways instead of single alterations, new trial concepts enabling rapid and adaptive drug evaluation, a focus on drugs with sufficient bioavailability in the CNS, and the extension of target discovery and validation to the tumor microenvironment, tumor cell networks, and their interaction with immune cells and neurons.
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Affiliation(s)
- Johannes Weller
- Department of Neurooncology, Center for Neurology, University Hospital Bonn, Germany
| | | | - Thomas Zeyen
- Department of Neurooncology, Center for Neurology, University Hospital Bonn, Germany
| | - Christina Schaub
- Department of Neurooncology, Center for Neurology, University Hospital Bonn, Germany
| | - Cathrina Duffy
- Department of Neurooncology, Center for Neurology, University Hospital Bonn, Germany
| | | | - Ulrich Herrlinger
- Department of Neurooncology, Center for Neurology, University Hospital Bonn, Germany
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8
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Peng X, Huang X, Zhang S, Zhang N, Huang S, Wang Y, Zhong Z, Zhu S, Gao H, Yu Z, Yan X, Tao Z, Dai Y, Zhang Z, Chen X, Wang F, Claret FX, Elkabets M, Ji N, Zhong Y, Kong D. Sequential Inhibition of PARP and BET as a Rational Therapeutic Strategy for Glioblastoma. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2307747. [PMID: 38896791 DOI: 10.1002/advs.202307747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 05/20/2024] [Indexed: 06/21/2024]
Abstract
PARP inhibitors (PARPi) hold substantial promise in treating glioblastoma (GBM). However, the adverse effects have restricted their broad application. Through unbiased transcriptomic and proteomic sequencing, it is discovered that the BET inhibitor (BETi) Birabresib profoundly alters the processes of DNA replication and cell cycle progression in GBM cells, beyond the previously reported impact of BET inhibition on homologous recombination repair. Through in vitro experiments using established GBM cell lines and patient-derived primary GBM cells, as well as in vivo orthotopic transplantation tumor experiments in zebrafish and nude mice, it is demonstrated that the concurrent administration of PARPi and BETi can synergistically inhibit GBM. Intriguingly, it is observed that DNA damage lingers after discontinuation of PARPi monotherapy, implying that sequential administration of PARPi followed by BETi can maintain antitumor efficacy while reducing toxicity. In GBM cells with elevated baseline replication stress, the sequential regimen exhibits comparable efficacy to concurrent treatment, protecting normal glial cells with lower baseline replication stress from DNA toxicity and subsequent death. This study provides compelling preclinical evidence supporting the development of innovative drug administration strategies focusing on PARPi for GBM therapy.
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Affiliation(s)
- Xin Peng
- Tianjin Key Laboratory of Technologies Enabling Development of Clinical Therapeutics and Diagnostics, School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
- Key Laboratory of Immune Microenvironment and Diseases (Ministry of Education), International Joint Laboratory of Ocular Diseases (Ministry of Education), Tianjin Medical University, Tianjin, 300070, China
- Department of Systems Biology, the University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Xin Huang
- Tianjin Key Laboratory of Technologies Enabling Development of Clinical Therapeutics and Diagnostics, School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
- Key Laboratory of Immune Microenvironment and Diseases (Ministry of Education), International Joint Laboratory of Ocular Diseases (Ministry of Education), Tianjin Medical University, Tianjin, 300070, China
| | - Shaolu Zhang
- Tianjin Key Laboratory of Technologies Enabling Development of Clinical Therapeutics and Diagnostics, School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
- Key Laboratory of Immune Microenvironment and Diseases (Ministry of Education), International Joint Laboratory of Ocular Diseases (Ministry of Education), Tianjin Medical University, Tianjin, 300070, China
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China
| | - Naixin Zhang
- Tianjin Key Laboratory of Technologies Enabling Development of Clinical Therapeutics and Diagnostics, School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
- Key Laboratory of Immune Microenvironment and Diseases (Ministry of Education), International Joint Laboratory of Ocular Diseases (Ministry of Education), Tianjin Medical University, Tianjin, 300070, China
| | - Shengfan Huang
- Tianjin Key Laboratory of Technologies Enabling Development of Clinical Therapeutics and Diagnostics, School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
- Key Laboratory of Immune Microenvironment and Diseases (Ministry of Education), International Joint Laboratory of Ocular Diseases (Ministry of Education), Tianjin Medical University, Tianjin, 300070, China
| | - Yingying Wang
- Tianjin Key Laboratory of Technologies Enabling Development of Clinical Therapeutics and Diagnostics, School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
- Key Laboratory of Immune Microenvironment and Diseases (Ministry of Education), International Joint Laboratory of Ocular Diseases (Ministry of Education), Tianjin Medical University, Tianjin, 300070, China
| | - Zhenxing Zhong
- Tianjin Key Laboratory of Technologies Enabling Development of Clinical Therapeutics and Diagnostics, School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
- Key Laboratory of Immune Microenvironment and Diseases (Ministry of Education), International Joint Laboratory of Ocular Diseases (Ministry of Education), Tianjin Medical University, Tianjin, 300070, China
| | - Shan Zhu
- Tianjin Key Laboratory of Technologies Enabling Development of Clinical Therapeutics and Diagnostics, School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
- Key Laboratory of Immune Microenvironment and Diseases (Ministry of Education), International Joint Laboratory of Ocular Diseases (Ministry of Education), Tianjin Medical University, Tianjin, 300070, China
| | - Haiwang Gao
- Tianjin Key Laboratory of Technologies Enabling Development of Clinical Therapeutics and Diagnostics, School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
- Key Laboratory of Immune Microenvironment and Diseases (Ministry of Education), International Joint Laboratory of Ocular Diseases (Ministry of Education), Tianjin Medical University, Tianjin, 300070, China
| | - Zixiang Yu
- Tianjin Key Laboratory of Technologies Enabling Development of Clinical Therapeutics and Diagnostics, School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
- Key Laboratory of Immune Microenvironment and Diseases (Ministry of Education), International Joint Laboratory of Ocular Diseases (Ministry of Education), Tianjin Medical University, Tianjin, 300070, China
| | - Xiaotong Yan
- Tianjin Key Laboratory of Technologies Enabling Development of Clinical Therapeutics and Diagnostics, School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
- Key Laboratory of Immune Microenvironment and Diseases (Ministry of Education), International Joint Laboratory of Ocular Diseases (Ministry of Education), Tianjin Medical University, Tianjin, 300070, China
| | - Zhennan Tao
- Department of Neurosurgery, the Affiliated Drum Tower Hospital, School of Medicine, Nanjing University, Nanjing, 210008, China
| | - Yuxiang Dai
- Department of Neurosurgery, the Affiliated Drum Tower Hospital, School of Medicine, Nanjing University, Nanjing, 210008, China
| | - Zhe Zhang
- Tianjin Key Laboratory of Technologies Enabling Development of Clinical Therapeutics and Diagnostics, School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
- Key Laboratory of Immune Microenvironment and Diseases (Ministry of Education), International Joint Laboratory of Ocular Diseases (Ministry of Education), Tianjin Medical University, Tianjin, 300070, China
| | - Xi Chen
- Tianjin Key Laboratory of Ophthalmology and Visual Science, Tianjin Eye Institute, Tianjin Eye Hospital, Tianjin, 300020, China
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, 300071, China
| | - Feng Wang
- Department of Genetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Francois X Claret
- Department of Systems Biology, the University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Moshe Elkabets
- The Shraga Segal Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel
| | - Ning Ji
- National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China
| | - Yuxu Zhong
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China
| | - Dexin Kong
- Tianjin Key Laboratory of Technologies Enabling Development of Clinical Therapeutics and Diagnostics, School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
- Key Laboratory of Immune Microenvironment and Diseases (Ministry of Education), International Joint Laboratory of Ocular Diseases (Ministry of Education), Tianjin Medical University, Tianjin, 300070, China
- Department of Pharmacy, Tianjin Medical University General Hospital, Tianjin, 300052, China
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9
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Liu CC, Yang WB, Chien CH, Wu CL, Chuang JY, Chen PY, Chu JM, Cheng SM, Qiu LY, Chang YC, Hwang DY, Huang CY, Lee JS, Chang KY. CXCR7 activation evokes the anti-PD-L1 antibody against glioblastoma by remodeling CXCL12-mediated immunity. Cell Death Dis 2024; 15:434. [PMID: 38898023 PMCID: PMC11187218 DOI: 10.1038/s41419-024-06784-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 05/23/2024] [Accepted: 05/28/2024] [Indexed: 06/21/2024]
Abstract
The interaction between glioblastoma cells and glioblastoma-associated macrophages (GAMs) influences the immunosuppressive tumor microenvironment, leading to ineffective immunotherapies. We hypothesized that disrupting the communication between tumors and macrophages would enhance the efficacy of immunotherapies. Transcriptomic analysis of recurrent glioblastoma specimens indicated an enhanced neuroinflammatory pathway, with CXCL12 emerging as the top-ranked gene in secretory molecules. Single-cell transcriptome profiling of naïve glioblastoma specimens revealed CXCL12 expression in tumor and myeloid clusters. An analysis of public glioblastoma datasets has confirmed the association of CXCL12 with disease and PD-L1 expression. In vitro studies have demonstrated that exogenous CXCL12 induces pro-tumorigenic characteristics in macrophage-like cells and upregulated PD-L1 expression through NF-κB signaling. We identified CXCR7, an atypical receptor for CXCL12 predominantly present in tumor cells, as a negative regulator of CXCL12 expression by interfering with extracellular signal-regulated kinase activation. CXCR7 knockdown in a glioblastoma mouse model resulted in worse survival outcomes, increased PD-L1 expression in GAMs, and reduced CD8+ T-cell infiltration compared with the control group. Ex vivo T-cell experiments demonstrated enhanced cytotoxicity against tumor cells with a selective CXCR7 agonist, VUF11207, reversing GAM-induced immunosuppression in a glioblastoma cell-macrophage-T-cell co-culture system. Notably, VUF11207 prolonged survival and potentiated the anti-tumor effect of the anti-PD-L1 antibody in glioblastoma-bearing mice. This effect was mitigated by an anti-CD8β antibody, indicating the synergistic effect of VUF11207. In conclusion, CXCL12 conferred immunosuppression mediated by pro-tumorigenic and PD-L1-expressing GAMs in glioblastoma. Targeted activation of glioblastoma-derived CXCR7 inhibits CXCL12, thereby eliciting anti-tumor immunity and enhancing the efficacy of anti-PD-L1 antibodies.
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Affiliation(s)
- Chan-Chuan Liu
- National Institute of Cancer Research, National Health Research Institutes, Tainan, Taiwan
| | - Wen-Bin Yang
- Research Center for Neuroscience, Taipei Medical University, Taipei, Taiwan
- Ph.D. Program in Medical Neuroscience, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Chia-Hung Chien
- National Institute of Cancer Research, National Health Research Institutes, Tainan, Taiwan
- School of Medicine, I-Shou University, Kaohsiung, Taiwan
| | - Cheng-Lin Wu
- Department of Pathology, National Cheng Kung University Hospital, College of Medicine, National Cheng-Kung University, Tainan, Taiwan
| | - Jian-Ying Chuang
- Research Center for Neuroscience, Taipei Medical University, Taipei, Taiwan
- International Master Program in Medical Neuroscience, Taipei Medical University, Taipei, Taiwan
- Department of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Pin-Yuan Chen
- School of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Neurosurgery, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Jui-Mei Chu
- National Institute of Cancer Research, National Health Research Institutes, Tainan, Taiwan
| | - Siao Muk Cheng
- National Institute of Cancer Research, National Health Research Institutes, Tainan, Taiwan
| | - Li-Ying Qiu
- National Institute of Cancer Research, National Health Research Institutes, Tainan, Taiwan
| | - Yung-Chieh Chang
- National Institute of Cancer Research, National Health Research Institutes, Tainan, Taiwan
- TMU Research Center of Cancer Translational Medicine; Taipei Cancer Center; Taipei Medical University Hospital, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Daw-Yang Hwang
- National Institute of Cancer Research, National Health Research Institutes, Tainan, Taiwan
| | - Chih-Yuan Huang
- Division of Neurosurgery, Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Jung-Shun Lee
- Division of Neurosurgery, Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Kwang-Yu Chang
- National Institute of Cancer Research, National Health Research Institutes, Tainan, Taiwan.
- Department of Oncology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
- Center of Cell Therapy, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
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10
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White J, White MPJ, Wickremesekera A, Peng L, Gray C. The tumour microenvironment, treatment resistance and recurrence in glioblastoma. J Transl Med 2024; 22:540. [PMID: 38844944 PMCID: PMC11155041 DOI: 10.1186/s12967-024-05301-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 05/13/2024] [Indexed: 06/10/2024] Open
Abstract
The adaptability of glioblastoma (GBM) cells, encouraged by complex interactions with the tumour microenvironment (TME), currently renders GBM an incurable cancer. Despite intensive research, with many clinical trials, GBM patients rely on standard treatments including surgery followed by radiation and chemotherapy, which have been observed to induce a more aggressive phenotype in recurrent tumours. This failure to improve treatments is undoubtedly a result of insufficient models which fail to incorporate components of the human brain TME. Research has increasingly uncovered mechanisms of tumour-TME interactions that correlate to worsened patient prognoses, including tumour-associated astrocyte mitochondrial transfer, neuronal circuit remodelling and immunosuppression. This tumour hijacked TME is highly implicated in driving therapy resistance, with further alterations within the TME and tumour resulting from therapy exposure inducing increased tumour growth and invasion. Recent developments improving organoid models, including aspects of the TME, are paving an exciting future for the research and drug development for GBM, with the hopes of improving patient survival growing closer. This review focuses on GBMs interactions with the TME and their effect on tumour pathology and treatment efficiency, with a look at challenges GBM models face in sufficiently recapitulating this complex and highly adaptive cancer.
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Affiliation(s)
- Jasmine White
- Gillies McIndoe Research Institute, Newtown, Wellington, 6021, New Zealand
- Centre for Biodiscovery and School of Biological Sciences, Victoria University of Wellington, Kelburn, Wellington, 6021, New Zealand
| | | | - Agadha Wickremesekera
- Gillies McIndoe Research Institute, Newtown, Wellington, 6021, New Zealand
- Department of Neurosurgery, Wellington Regional Hospital, Wellington, New Zealand
| | - Lifeng Peng
- Centre for Biodiscovery and School of Biological Sciences, Victoria University of Wellington, Kelburn, Wellington, 6021, New Zealand.
| | - Clint Gray
- Gillies McIndoe Research Institute, Newtown, Wellington, 6021, New Zealand.
- Centre for Biodiscovery and School of Biological Sciences, Victoria University of Wellington, Kelburn, Wellington, 6021, New Zealand.
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11
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Fan Q, Kuang L, Wang B, Yin Y, Dong Z, Tian N, Wang J, Yin T, Wang Y. Multiple Synergistic Effects of the Microglia Membrane-Bionic Nanoplatform on Mediate Tumor Microenvironment Remodeling to Amplify Glioblastoma Immunotherapy. ACS NANO 2024; 18:14469-14486. [PMID: 38770948 DOI: 10.1021/acsnano.4c01253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Glioblastoma (GBM) is a lethal brain tumor with high levels of malignancy. Most chemotherapy agents show serious systemic cytotoxicity and restricted delivery effectiveness due to the impediments of the blood-brain barrier (BBB). Immunotherapy has developed great potential for aggressive tumor treatments. Disappointingly, its efficacy against GBM is hindered by the immunosuppressive tumor microenvironment (TME) and BBB. Herein, a multiple synergistic immunotherapeutic strategy against GBM was developed based on the nanomaterial-biology interaction. We have demonstrated that this BM@MnP-BSA-aPD-1 can transverse the BBB and target the TME, resulting in amplified synergetic effects of metalloimmunotherapy and photothermal immunotherapy (PTT). The journey of this nanoformulation within the TME contributed to the activation of the stimulator of the interferon gene pathway, the initiation of the immunogenic cell death effect, and the inhibition of the programmed cell death-1/programmed cell death ligand 1 (PD-1/PD-L1) signaling axis. This nanomedicine revitalizes the immunosuppressive TME and evokes the cascade effect of antitumor immunity. Therefore, the combination of BM@MnP-BSA-aPD-1 and PTT without chemotherapeutics presents favorable benefits in anti-GBM immunotherapy and exhibits immense potential for clinical translational applications.
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Affiliation(s)
- Qin Fan
- School of Medicine, Chongqing University, Chongqing 400044, China
| | - Lei Kuang
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Bingyi Wang
- School of Medicine, Chongqing University, Chongqing 400044, China
| | - Ying Yin
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Zhufeng Dong
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Nixin Tian
- School of Medicine, Chongqing University, Chongqing 400044, China
| | - Jiaojiao Wang
- School of Medicine, Chongqing University, Chongqing 400044, China
| | - Tieying Yin
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, College of Bioengineering, Chongqing University, Chongqing 400044, China
| | - Yazhou Wang
- School of Medicine, Chongqing University, Chongqing 400044, China
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12
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Liu Z, Yu K, Chen K, Liu J, Dai K, Zhao P. HAS2 facilitates glioma cell malignancy and suppresses ferroptosis in an FZD7-dependent manner. Cancer Sci 2024. [PMID: 38816349 DOI: 10.1111/cas.16232] [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: 12/25/2023] [Revised: 05/07/2024] [Accepted: 05/14/2024] [Indexed: 06/01/2024] Open
Abstract
Glioma is the most common malignant tumor in the central nervous system, and it is crucial to uncover the factors that influence prognosis. In this study, we utilized Mfuzz to identify a gene set that showed a negative correlation with overall survival in patients with glioma. Gene Ontology (GO) enrichment analyses were then undertaken to gain insights into the functional characteristics and pathways associated with these genes. The expression distribution of Hyaluronan Synthase 2 (HAS2) was explored across multiple datasets, revealing its expression patterns. In vitro and in vivo experiments were carried out through gene knockdown and overexpression to validate the functionality of HAS2. Potential upstream transcription factors of HAS2 were predicted using transcriptional regulatory databases, and these predictions were experimentally validated using ChIP-PCR and dual-luciferase reporter gene assays. The results showed that elevated expression of HAS2 in glioma indicates poor prognosis. HAS2 was found to play a role in activating an antiferroptosis pathway in glioma cells. Inhibiting HAS2 significantly increased cellular sensitivity to ferroptosis-inducing agents. Finally, we determined that the oncogenic effect of HAS2 is mediated by the key receptor of the WNT pathway, FZD7.
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Affiliation(s)
- Zhiyuan Liu
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Kuo Yu
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Kaile Chen
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jinlai Liu
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Department of Neurosurgery, Yang Zhong, Jiangsu Province People's Hospital, Yangzhou, China
| | - Kexiang Dai
- Department of Neurosugery, Emergency General Hospital, Beijing, China
| | - Peng Zhao
- Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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13
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Giordano FA, Layer JP, Leonardelli S, Friker LL, Turiello R, Corvino D, Zeyen T, Schaub C, Müller W, Sperk E, Schmeel LC, Sahm K, Oster C, Kebir S, Hambsch P, Pietsch T, Bisdas S, Platten M, Glas M, Seidel C, Herrlinger U, Hölzel M. L-RNA aptamer-based CXCL12 inhibition combined with radiotherapy in newly-diagnosed glioblastoma: dose escalation of the phase I/II GLORIA trial. Nat Commun 2024; 15:4210. [PMID: 38806504 PMCID: PMC11133480 DOI: 10.1038/s41467-024-48416-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 04/30/2024] [Indexed: 05/30/2024] Open
Abstract
The chemokine CXCL12 promotes glioblastoma (GBM) recurrence after radiotherapy (RT) by facilitating vasculogenesis. Here we report outcomes of the dose-escalation part of GLORIA (NCT04121455), a phase I/II trial combining RT and the CXCL12-neutralizing aptamer olaptesed pegol (NOX-A12; 200/400/600 mg per week) in patients with incompletely resected, newly-diagnosed GBM lacking MGMT methylation. The primary endpoint was safety, secondary endpoints included maximum tolerable dose (MTD), recommended phase II dose (RP2D), NOX-A12 plasma levels, topography of recurrence, tumor vascularization, neurologic assessment in neuro-oncology (NANO), quality of life (QOL), median progression-free survival (PFS), 6-months PFS and overall survival (OS). Treatment was safe with no dose-limiting toxicities or treatment-related deaths. The MTD has not been reached and, thus, 600 mg per week of NOX-A12 was established as RP2D for the ongoing expansion part of the trial. With increasing NOX-A12 dose levels, a corresponding increase of NOX-A12 plasma levels was observed. Of ten patients enrolled, nine showed radiographic responses, four reached partial remission. All but one patient (90%) showed at best response reduced perfusion values in terms of relative cerebral blood volume (rCBV). The median PFS was 174 (range 58-260) days, 6-month PFS was 40.0% and the median OS 389 (144-562) days. In a post-hoc exploratory analysis of tumor tissue, higher frequency of CXCL12+ endothelial and glioma cells was significantly associated with longer PFS under NOX-A12. Our data imply safety of NOX-A12 and its efficacy signal warrants further investigation.
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Affiliation(s)
- Frank A Giordano
- Department of Radiation Oncology, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
- DKFZ-Hector Cancer Institute at the University Medical Center Mannheim, Mannheim, Germany.
| | - Julian P Layer
- Department of Radiation Oncology, University Hospital Bonn, University of Bonn, Bonn, Germany
- Institute of Experimental Oncology, Medical Faculty, University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Sonia Leonardelli
- Institute of Experimental Oncology, Medical Faculty, University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Lea L Friker
- Institute of Experimental Oncology, Medical Faculty, University Hospital Bonn, University of Bonn, Bonn, Germany
- Institute of Neuropathology, University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Roberta Turiello
- Institute of Experimental Oncology, Medical Faculty, University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Dillon Corvino
- Institute of Experimental Oncology, Medical Faculty, University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Thomas Zeyen
- Department of Neurooncology, Center for Neurology, University Hospital Bonn, Bonn, Germany
| | - Christina Schaub
- Department of Neurooncology, Center for Neurology, University Hospital Bonn, Bonn, Germany
| | - Wolf Müller
- Institute of Neuropathology, University Hospital Leipzig, University of Leipzig, Leipzig, Germany
| | - Elena Sperk
- Department of Radiation Oncology, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | | | - Katharina Sahm
- DKFZ-Hector Cancer Institute at the University Medical Center Mannheim, Mannheim, Germany
- Department of Neurology, Medical Faculty Mannheim, MCTN, Heidelberg University, Mannheim, Germany
- DKTK Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center, Heidelberg, Germany
| | - Christoph Oster
- Division of Clinical Neurooncology, Department of Neurology, Center for Translational Neuro- and Behavioral Sciences (C-TNBS) and West German Cancer Center, German Cancer Consortium, Partner Site Essen, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Sied Kebir
- Division of Clinical Neurooncology, Department of Neurology, Center for Translational Neuro- and Behavioral Sciences (C-TNBS) and West German Cancer Center, German Cancer Consortium, Partner Site Essen, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Peter Hambsch
- Department of Radiation Oncology, University Hospital Leipzig, University of Leipzig, Leipzig, Germany
| | - Torsten Pietsch
- Institute of Neuropathology, University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Sotirios Bisdas
- Lysholm Department of Neuroradiology, University College London, London, UK
| | - Michael Platten
- DKFZ-Hector Cancer Institute at the University Medical Center Mannheim, Mannheim, Germany
- Department of Neurology, Medical Faculty Mannheim, MCTN, Heidelberg University, Mannheim, Germany
- DKTK Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center, Heidelberg, Germany
| | - Martin Glas
- Division of Clinical Neurooncology, Department of Neurology, Center for Translational Neuro- and Behavioral Sciences (C-TNBS) and West German Cancer Center, German Cancer Consortium, Partner Site Essen, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Clemens Seidel
- Department of Radiation Oncology, University Hospital Leipzig, University of Leipzig, Leipzig, Germany
| | - Ulrich Herrlinger
- Department of Neurooncology, Center for Neurology, University Hospital Bonn, Bonn, Germany
| | - Michael Hölzel
- Institute of Experimental Oncology, Medical Faculty, University Hospital Bonn, University of Bonn, Bonn, Germany.
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14
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Onubogu U, Gatenbee CD, Prabhakaran S, Wolfe KL, Oakes B, Salatino R, Vaubel R, Szentirmai O, Anderson AR, Janiszewska M. Spatial analysis of recurrent glioblastoma reveals perivascular niche organization. JCI Insight 2024; 9:e179853. [PMID: 38805346 DOI: 10.1172/jci.insight.179853] [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: 05/30/2024] Open
Abstract
Tumor evolution is driven by genetic variation; however, it is the tumor microenvironment (TME) that provides the selective pressure contributing to evolution in cancer. Despite high histopathological heterogeneity within glioblastoma (GBM), the most aggressive brain tumor, the interactions between the genetically distinct GBM cells and the surrounding TME are not fully understood. To address this, we analyzed matched primary and recurrent GBM archival tumor tissues with imaging-based techniques aimed to simultaneously evaluate tumor tissues for the presence of hypoxic, angiogenic, and inflammatory niches, extracellular matrix (ECM) organization, TERT promoter mutational status, and several oncogenic amplifications on the same slide and location. We found that the relationships between genetic and TME diversity are different in primary and matched recurrent tumors. Interestingly, the texture of the ECM, identified by label-free reflectance imaging, was predictive of single-cell genetic traits present in the tissue. Moreover, reflectance of ECM revealed structured organization of the perivascular niche in recurrent GBM, enriched in immunosuppressive macrophages. Single-cell spatial transcriptomics further confirmed the presence of the niche-specific macrophage populations and identified interactions between endothelial cells, perivascular fibroblasts, and immunosuppressive macrophages. Our results underscore the importance of GBM tissue organization in tumor evolution and highlight genetic and spatial dependencies.
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Affiliation(s)
- Ugoma Onubogu
- The Skaggs Graduate School of Chemical and Biological Science, The Scripps Research Institute, La Jolla, California, USA
- Department of Molecular Medicine, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology, Jupiter, Florida, USA
| | - Chandler D Gatenbee
- Department of Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Sandhya Prabhakaran
- Department of Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Kelsey L Wolfe
- The Skaggs Graduate School of Chemical and Biological Science, The Scripps Research Institute, La Jolla, California, USA
- Department of Molecular Medicine, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology, Jupiter, Florida, USA
| | - Benjamin Oakes
- Department of Molecular Medicine, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology, Jupiter, Florida, USA
| | - Roberto Salatino
- The Skaggs Graduate School of Chemical and Biological Science, The Scripps Research Institute, La Jolla, California, USA
- Department of Molecular Medicine, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology, Jupiter, Florida, USA
| | - Rachael Vaubel
- Department of Laboratory Medicine and Pathology, Mayo Clinic Rochester, Rochester, Minnesota, USA
| | - Oszkar Szentirmai
- Center for Neurological Surgery and Neuroscience, Cleveland Clinic Martin Health, Port St. Lucie, Florida, USA
| | - Alexander Ra Anderson
- Department of Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Michalina Janiszewska
- The Skaggs Graduate School of Chemical and Biological Science, The Scripps Research Institute, La Jolla, California, USA
- Department of Molecular Medicine, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology, Jupiter, Florida, USA
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15
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Ho WM, Chen CY, Chiang TW, Chuang TJ. A longer time to relapse is associated with a larger increase in differences between paired primary and recurrent IDH wild-type glioblastomas at both the transcriptomic and genomic levels. Acta Neuropathol Commun 2024; 12:77. [PMID: 38762464 PMCID: PMC11102269 DOI: 10.1186/s40478-024-01790-3] [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: 02/22/2024] [Accepted: 05/05/2024] [Indexed: 05/20/2024] Open
Abstract
Glioblastoma (GBM) is the most common malignant brain tumor in adults, which remains incurable and often recurs rapidly after initial therapy. While large efforts have been dedicated to uncover genomic/transcriptomic alternations associated with the recurrence of GBMs, the evolutionary trajectories of matched pairs of primary and recurrent (P-R) GBMs remain largely elusive. It remains challenging to identify genes associated with time to relapse (TTR) and construct a stable and effective prognostic model for predicting TTR of primary GBM patients. By integrating RNA-sequencing and genomic data from multiple datasets of patient-matched longitudinal GBMs of isocitrate dehydrogenase wild-type (IDH-wt), here we examined the associations of TTR with heterogeneities between paired P-R GBMs in gene expression profiles, tumor mutation burden (TMB), and microenvironment. Our results revealed a positive correlation between TTR and transcriptomic/genomic differences between paired P-R GBMs, higher percentages of non-mesenchymal-to-mesenchymal transition and mesenchymal subtype for patients with a short TTR than for those with a long TTR, a high correlation between paired P-R GBMs in gene expression profiles and TMB, and a negative correlation between the fitting level of such a paired P-R GBM correlation and TTR. According to these observations, we identified 55 TTR-associated genes and thereby constructed a seven-gene (ZSCAN10, SIGLEC14, GHRHR, TBX15, TAS2R1, CDKL1, and CD101) prognostic model for predicting TTR of primary IDH-wt GBM patients using univariate/multivariate Cox regression analyses. The risk scores estimated by the model were significantly negatively correlated with TTR in the training set and two independent testing sets. The model also segregated IDH-wt GBM patients into two groups with significantly divergent progression-free survival outcomes and showed promising performance for predicting 1-, 2-, and 3-year progression-free survival rates in all training and testing sets. Our findings provide new insights into the molecular understanding of GBM progression at recurrence and potential targets for therapeutic treatments.
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Affiliation(s)
- Wei-Min Ho
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
- Ph.D. Program in Translational Medicine, National Taiwan University and Academia Sinica, Taipei, Taiwan
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- School of Medicine, National Tsing Hua University, Hsinchu, Taiwan
| | - Chia-Ying Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Tai-Wei Chiang
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Trees-Juen Chuang
- Genomics Research Center, Academia Sinica, Taipei, Taiwan.
- Ph.D. Program in Translational Medicine, National Taiwan University and Academia Sinica, Taipei, Taiwan.
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16
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Martinez-Morga M, Garrigos D, Rodriguez-Montero E, Pombero A, Garcia-Lopez R, Martinez S. Pericytes Are Immunoregulatory Cells in Glioma Genesis and Progression. Int J Mol Sci 2024; 25:5072. [PMID: 38791110 PMCID: PMC11120873 DOI: 10.3390/ijms25105072] [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: 03/13/2024] [Revised: 05/03/2024] [Accepted: 05/03/2024] [Indexed: 05/26/2024] Open
Abstract
Vascular co-option is a consequence of the direct interaction between perivascular cells, known as pericytes (PCs), and glioblastoma multiforme (GBM) cells (GBMcs). This process is essential for inducing changes in the pericytes' anti-tumoral and immunoreactive phenotypes. Starting from the initial stages of carcinogenesis in GBM, PCs conditioned by GBMcs undergo proliferation, acquire a pro-tumoral and immunosuppressive phenotype by expressing and secreting immunosuppressive molecules, and significantly hinder the activation of T cells, thereby facilitating tumor growth. Inhibiting the pericyte (PC) conditioning mechanisms in the GBM tumor microenvironment (TME) results in immunological activation and tumor disappearance. This underscores the pivotal role of PCs as a key cell in the TME, responsible for tumor-induced immunosuppression and enabling GBM cells to evade the immune system. Other cells within the TME, such as tumor-associated macrophages (TAMs) and microglia, have also been identified as contributors to this immunomodulation. In this paper, we will review the role of these three cell types in the immunosuppressive properties of the TME. Our conclusion is that the cellular heterogeneity of immunocompetent cells within the TME may lead to the misinterpretation of cellular lineage identification due to different reactive stages and the identification of PCs as TAMs. Consequently, novel therapies could be developed to disrupt GBM-PC interactions and/or PC conditioning through vascular co-option, thereby exposing GBMcs to the immune system.
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Affiliation(s)
- Marta Martinez-Morga
- Instituto de Neurociencias, Universidad Miguel Hernández–CSIC, Excellence Center Severo Ochoa, Campus de San Juan, Avda. Ramón y Cajal sn, 03550 Alicante, Spain; (M.M.-M.); (D.G.); (E.R.-M.); (A.P.); (R.G.-L.)
| | - Daniel Garrigos
- Instituto de Neurociencias, Universidad Miguel Hernández–CSIC, Excellence Center Severo Ochoa, Campus de San Juan, Avda. Ramón y Cajal sn, 03550 Alicante, Spain; (M.M.-M.); (D.G.); (E.R.-M.); (A.P.); (R.G.-L.)
| | - Elena Rodriguez-Montero
- Instituto de Neurociencias, Universidad Miguel Hernández–CSIC, Excellence Center Severo Ochoa, Campus de San Juan, Avda. Ramón y Cajal sn, 03550 Alicante, Spain; (M.M.-M.); (D.G.); (E.R.-M.); (A.P.); (R.G.-L.)
| | - Ana Pombero
- Instituto de Neurociencias, Universidad Miguel Hernández–CSIC, Excellence Center Severo Ochoa, Campus de San Juan, Avda. Ramón y Cajal sn, 03550 Alicante, Spain; (M.M.-M.); (D.G.); (E.R.-M.); (A.P.); (R.G.-L.)
| | - Raquel Garcia-Lopez
- Instituto de Neurociencias, Universidad Miguel Hernández–CSIC, Excellence Center Severo Ochoa, Campus de San Juan, Avda. Ramón y Cajal sn, 03550 Alicante, Spain; (M.M.-M.); (D.G.); (E.R.-M.); (A.P.); (R.G.-L.)
| | - Salvador Martinez
- Instituto de Neurociencias, Universidad Miguel Hernández–CSIC, Excellence Center Severo Ochoa, Campus de San Juan, Avda. Ramón y Cajal sn, 03550 Alicante, Spain; (M.M.-M.); (D.G.); (E.R.-M.); (A.P.); (R.G.-L.)
- Centro de Investigación Biomédica en Red en Salud Mental, CIBERSAM-ISCIII, 46010 Valencia, Spain
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17
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Johnson AL, Lopez-Bertoni H. Cellular diversity through space and time: adding new dimensions to GBM therapeutic development. Front Genet 2024; 15:1356611. [PMID: 38774283 PMCID: PMC11106394 DOI: 10.3389/fgene.2024.1356611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 04/15/2024] [Indexed: 05/24/2024] Open
Abstract
The current median survival for glioblastoma (GBM) patients is only about 16 months, with many patients succumbing to the disease in just a matter of months, making it the most common and aggressive primary brain cancer in adults. This poor outcome is, in part, due to the lack of new treatment options with only one FDA-approved treatment in the last decade. Advances in sequencing techniques and transcriptomic analyses have revealed a vast degree of heterogeneity in GBM, from inter-patient diversity to intra-tumoral cellular variability. These cutting-edge approaches are providing new molecular insights highlighting a critical role for the tumor microenvironment (TME) as a driver of cellular plasticity and phenotypic heterogeneity. With this expanded molecular toolbox, the influence of TME factors, including endogenous (e.g., oxygen and nutrient availability and interactions with non-malignant cells) and iatrogenically induced (e.g., post-therapeutic intervention) stimuli, on tumor cell states can be explored to a greater depth. There exists a critical need for interrogating the temporal and spatial aspects of patient tumors at a high, cell-level resolution to identify therapeutically targetable states, interactions and mechanisms. In this review, we discuss advancements in our understanding of spatiotemporal diversity in GBM with an emphasis on the influence of hypoxia and immune cell interactions on tumor cell heterogeneity. Additionally, we describe specific high-resolution spatially resolved methodologies and their potential to expand the impact of pre-clinical GBM studies. Finally, we highlight clinical attempts at targeting hypoxia- and immune-related mechanisms of malignancy and the potential therapeutic opportunities afforded by single-cell and spatial exploration of GBM patient specimens.
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Affiliation(s)
- Amanda L. Johnson
- Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States
- Department of Neurology, Baltimore, MD, United States
| | - Hernando Lopez-Bertoni
- Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States
- Department of Neurology, Baltimore, MD, United States
- Oncology, Baltimore, MD, United States
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University School of Medicine, Baltimore, MD, United States
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18
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Watson SS, Duc B, Kang Z, de Tonnac A, Eling N, Font L, Whitmarsh T, Massara M, Bodenmiller B, Hausser J, Joyce JA. Microenvironmental reorganization in brain tumors following radiotherapy and recurrence revealed by hyperplexed immunofluorescence imaging. Nat Commun 2024; 15:3226. [PMID: 38622132 PMCID: PMC11018859 DOI: 10.1038/s41467-024-47185-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 03/22/2024] [Indexed: 04/17/2024] Open
Abstract
The tumor microenvironment plays a crucial role in determining response to treatment. This involves a series of interconnected changes in the cellular landscape, spatial organization, and extracellular matrix composition. However, assessing these alterations simultaneously is challenging from a spatial perspective, due to the limitations of current high-dimensional imaging techniques and the extent of intratumoral heterogeneity over large lesion areas. In this study, we introduce a spatial proteomic workflow termed Hyperplexed Immunofluorescence Imaging (HIFI) that overcomes these limitations. HIFI allows for the simultaneous analysis of > 45 markers in fragile tissue sections at high magnification, using a cost-effective high-throughput workflow. We integrate HIFI with machine learning feature detection, graph-based network analysis, and cluster-based neighborhood analysis to analyze the microenvironment response to radiation therapy in a preclinical model of glioblastoma, and compare this response to a mouse model of breast-to-brain metastasis. Here we show that glioblastomas undergo extensive spatial reorganization of immune cell populations and structural architecture in response to treatment, while brain metastases show no comparable reorganization. Our integrated spatial analyses reveal highly divergent responses to radiation therapy between brain tumor models, despite equivalent radiotherapy benefit.
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Affiliation(s)
- Spencer S Watson
- Department of Oncology, University of Lausanne, Lausanne, Switzerland.
- Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.
- Agora Cancer Research Center, Lausanne, 1011, Switzerland.
- L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, 1011, Switzerland.
| | - Benoit Duc
- Department of Oncology, University of Lausanne, Lausanne, Switzerland
- Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland
- Agora Cancer Research Center, Lausanne, 1011, Switzerland
- L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, 1011, Switzerland
| | - Ziqi Kang
- Department of Cellular and Molecular Biology, Karolinska Institutet and SciLifeLab, Stockholm, Sweden
| | - Axel de Tonnac
- Department of Cellular and Molecular Biology, Karolinska Institutet and SciLifeLab, Stockholm, Sweden
| | - Nils Eling
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
- Institute for Molecular Health Sciences, ETH Zurich, Zurich, Switzerland
| | - Laure Font
- Department of Oncology, University of Lausanne, Lausanne, Switzerland
- École Polytechnique Fédérale Lausanne, Lausanne, Switzerland
| | - Tristan Whitmarsh
- Machine Intelligence Laboratory, Department of Engineering, University of Cambridge, Cambridge, UK
| | - Matteo Massara
- Department of Oncology, University of Lausanne, Lausanne, Switzerland
- Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland
- Agora Cancer Research Center, Lausanne, 1011, Switzerland
- L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, 1011, Switzerland
| | - Bernd Bodenmiller
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
- Institute for Molecular Health Sciences, ETH Zurich, Zurich, Switzerland
| | - Jean Hausser
- Department of Cellular and Molecular Biology, Karolinska Institutet and SciLifeLab, Stockholm, Sweden
| | - Johanna A Joyce
- Department of Oncology, University of Lausanne, Lausanne, Switzerland.
- Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.
- Agora Cancer Research Center, Lausanne, 1011, Switzerland.
- L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Lausanne, 1011, Switzerland.
- Cancer Research UK, Cancer Grand Challenges iMAXT Consortium, University of Cambridge, Cambridge, UK.
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19
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Li Z, Wei C, Zhang Z, Han L. ecGBMsub: an integrative stacking ensemble model framework based on eccDNA molecular profiling for improving IDH wild-type glioblastoma molecular subtype classification. Front Pharmacol 2024; 15:1375112. [PMID: 38666025 PMCID: PMC11043526 DOI: 10.3389/fphar.2024.1375112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 03/18/2024] [Indexed: 04/28/2024] Open
Abstract
IDH wild-type glioblastoma (GBM) intrinsic subtypes have been linked to different molecular landscapes and outcomes. Accurate prediction of molecular subtypes of GBM is very important to guide clinical diagnosis and treatment. Leveraging machine learning technology to improve the subtype classification was considered a robust strategy. Several single machine learning models have been developed to predict survival or stratify patients. An ensemble learning strategy combines several basic learners to boost model performance. However, it still lacked a robust stacking ensemble learning model with high accuracy in clinical practice. Here, we developed a novel integrative stacking ensemble model framework (ecGBMsub) for improving IDH wild-type GBM molecular subtype classification. In the framework, nine single models with the best hyperparameters were fitted based on extrachromosomal circular DNA (eccDNA) molecular profiling. Then, the top five optimal single models were selected as base models. By randomly combining the five optimal base models, 26 different combinations were finally generated. Nine different meta-models with the best hyperparameters were fitted based on the prediction results of 26 different combinations, resulting in 234 different stacked ensemble models. All models in ecGBMsub were comprehensively evaluated and compared. Finally, the stacking ensemble model named "XGBoost.Enet-stacking-Enet" was chosen as the optimal model in the ecGBMsub framework. A user-friendly web tool was developed to facilitate accessibility to the XGBoost.Enet-stacking-Enet models (https://lizesheng20190820.shinyapps.io/ecGBMsub/).
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Affiliation(s)
- Zesheng Li
- Tianjin Neurological Institute, Key Laboratory of Post-Neuro Injury, Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Medical University General Hospital, Tianjin, China
| | - Cheng Wei
- Tianjin Neurological Institute, Key Laboratory of Post-Neuro Injury, Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhenyu Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Lei Han
- Tianjin Neurological Institute, Key Laboratory of Post-Neuro Injury, Neuro-Repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Medical University General Hospital, Tianjin, China
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20
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Bylicky MA, Shankavaram U, Aryankalayil MJ, Chopra S, Naz S, Sowers AL, Choudhuri R, Calvert V, Petricoin EF, Eke I, Mitchell JB, Coleman CN. Multiomic-Based Molecular Landscape of FaDu Xenograft Tumors in Mice after a Combinatorial Treatment with Radiation and an HSP90 Inhibitor Identifies Adaptation-Induced Targets of Resistance and Therapeutic Intervention. Mol Cancer Ther 2024; 23:577-588. [PMID: 38359816 PMCID: PMC10985469 DOI: 10.1158/1535-7163.mct-23-0796] [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: 11/15/2023] [Revised: 01/10/2024] [Accepted: 02/09/2024] [Indexed: 02/17/2024]
Abstract
Treatments involving radiation and chemotherapy alone or in combination have improved patient survival and quality of life. However, cancers frequently evade these therapies due to adaptation and tumor evolution. Given the complexity of predicting response based solely on the initial genetic profile of a patient, a predetermined treatment course may miss critical adaptation that can cause resistance or induce new targets for drug and immunotherapy. To address the timescale for these evasive mechanisms, using a mouse xenograft tumor model, we investigated the rapidity of gene expression (mRNA), molecular pathway, and phosphoproteome changes after radiation, an HSP90 inhibitor, or combination. Animals received radiation, drug, or combination treatment for 1 or 2 weeks and were then euthanized along with a time-matched untreated group for comparison. Changes in gene expression occur as early as 1 week after treatment initiation. Apoptosis and cell death pathways were activated in irradiated tumor samples. For the HSP90 inhibitor and combination treatment at weeks 1 and 2 compared with Control Day 1, gene-expression changes induced inhibition of pathways including invasion of cells, vasculogenesis, and viral infection among others. The combination group included both drug-alone and radiation-alone changes. Our data demonstrate the rapidity of gene expression and functional pathway changes in the evolving tumor as it responds to treatment. Discovering these phenotypic adaptations may help elucidate the challenges in using sustained treatment regimens and could also define evolving targets for therapeutic efficacy.
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Affiliation(s)
- Michelle A. Bylicky
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Uma Shankavaram
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Molykutty J. Aryankalayil
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Sunita Chopra
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
| | - Sarwat Naz
- Radiation Biology Branch, National Cancer Institute, NIH, Bethesda, Maryland
| | - Anastasia L. Sowers
- Radiation Biology Branch, National Cancer Institute, NIH, Bethesda, Maryland
| | - Rajani Choudhuri
- Radiation Biology Branch, National Cancer Institute, NIH, Bethesda, Maryland
| | - Valerie Calvert
- Center for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, Virginia
| | - Emanuel F. Petricoin
- Center for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, Virginia
| | - Iris Eke
- Department of Radiation Oncology, Stanford University Medical School, Stanford, California
| | - James B. Mitchell
- Radiation Biology Branch, National Cancer Institute, NIH, Bethesda, Maryland
| | - C. Norman Coleman
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland
- Radiation Research Program, National Cancer Institute, NIH, Rockville, Maryland
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21
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Wang B, Zhang X, Li ZS, Wei C, Yu RZ, Du XZ, He YJ, Ren Y, Zhen YW, Han L. Polo-like kinase 4 promotes tumorigenesis and glucose metabolism in glioma by activating AKT1 signaling. Cancer Lett 2024; 585:216665. [PMID: 38290657 DOI: 10.1016/j.canlet.2024.216665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 12/27/2023] [Accepted: 01/18/2024] [Indexed: 02/01/2024]
Abstract
Glioblastoma (GBM) is an extremely aggressive tumor associated with a poor prognosis that impacts the central nervous system. Increasing evidence suggests an inherent association between glucose metabolism dysregulation and the aggression of GBM. Polo-like kinase 4 (PLK4), a highly conserved serine/threonine protein kinase, was found to relate to glioma progression and unfavorable prognosis. As revealed by the integration of proteomics and phosphoproteomics, PLK4 was found to be involved in governing metabolic processes and the PI3K/AKT/mTOR pathway. For the first time, this study supports evidence demonstrating that PLK4 activated PI3K/AKT/mTOR signaling through direct binding to AKT1 and subsequent phosphorylating AKT1 at S124, T308, and S473 to promote tumorigenesis and glucose metabolism in glioma. In addition, PLK4-mediated phosphorylation of AKT1 S124 significantly augmented the phosphorylation of AKT1 S473. Therefore, PLK4 exerted an influence on glucose metabolism by stimulating PI3K/AKT/mTOR signaling. Additionally, the expression of PLK4 protein exhibited a positive correlation with AKT1 phosphorylation in glioma patient tissues. These findings highlight the pivotal role of PLK4-mediated phosphorylation of AKT1 in glioma tumorigenesis and dysregulation of glucose metabolism.
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Affiliation(s)
- Bo Wang
- Tianjin Neurological Institute, Key Laboratory of Post-Neuro Injury, Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Xiaoyang Zhang
- Tianjin Neurological Institute, Key Laboratory of Post-Neuro Injury, Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Ze-Sheng Li
- Tianjin Neurological Institute, Key Laboratory of Post-Neuro Injury, Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Cheng Wei
- Tianjin Neurological Institute, Key Laboratory of Post-Neuro Injury, Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Run-Ze Yu
- Tianjin Neurological Institute, Key Laboratory of Post-Neuro Injury, Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Xue-Zhi Du
- Department of Hepatopancreatobiliary Surgery, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China
| | - Ying-Jie He
- Department of Hepatopancreatobiliary Surgery, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China
| | - Yu Ren
- Department of Genetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China.
| | - Ying-Wei Zhen
- Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
| | - Lei Han
- Tianjin Neurological Institute, Key Laboratory of Post-Neuro Injury, Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Medical University General Hospital, Tianjin, 300052, China.
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22
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Virtuoso A, D’Amico G, Scalia F, De Luca C, Papa M, Maugeri G, D’Agata V, Caruso Bavisotto C, D’Amico AG. The Interplay between Glioblastoma Cells and Tumor Microenvironment: New Perspectives for Early Diagnosis and Targeted Cancer Therapy. Brain Sci 2024; 14:331. [PMID: 38671983 PMCID: PMC11048111 DOI: 10.3390/brainsci14040331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Revised: 03/26/2024] [Accepted: 03/28/2024] [Indexed: 04/28/2024] Open
Abstract
Glioblastoma multiforme (GBM) stands out as the most tremendous brain tumor, constituting 60% of primary brain cancers, accompanied by dismal survival rates. Despite advancements in research, therapeutic options remain limited to chemotherapy and surgery. GBM molecular heterogeneity, the intricate interaction with the tumor microenvironment (TME), and non-selective treatments contribute to the neoplastic relapse. Diagnostic challenges arise from GBM advanced-stage detection, necessitating the exploration of novel biomarkers for early diagnosis. Using data from the literature and a bioinformatic tool, the current manuscript delineates the molecular interplay between human GBM, astrocytes, and myeloid cells, underscoring selected protein pathways belonging to astroglia and myeloid lineage, which can be considered for targeted therapies. Moreover, the pivotal role of extracellular vesicles (EVs) in orchestrating a favorable microenvironment for cancer progression is highlighted, suggesting their utility in identifying biomarkers for GBM early diagnosis.
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Affiliation(s)
- Assunta Virtuoso
- Laboratory of Neuronal Networks Morphology and System Biology, Department of Mental and Physical Health and Preventive Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (A.V.); (C.D.L.); (M.P.)
| | - Giuseppa D’Amico
- Department of Biomedicine, Neurosciences and Advanced Diagnostic (BiND), Human Anatomy Section, University of Palermo, 90127 Palermo, Italy; (G.D.); (F.S.)
| | - Federica Scalia
- Department of Biomedicine, Neurosciences and Advanced Diagnostic (BiND), Human Anatomy Section, University of Palermo, 90127 Palermo, Italy; (G.D.); (F.S.)
| | - Ciro De Luca
- Laboratory of Neuronal Networks Morphology and System Biology, Department of Mental and Physical Health and Preventive Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (A.V.); (C.D.L.); (M.P.)
| | - Michele Papa
- Laboratory of Neuronal Networks Morphology and System Biology, Department of Mental and Physical Health and Preventive Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (A.V.); (C.D.L.); (M.P.)
| | - Grazia Maugeri
- Department of Biomedical and Biotechnological Sciences, Section of Anatomy, Histology and Movement Sciences, University of Catania, 95100 Catania, Italy; (G.M.); (V.D.)
| | - Velia D’Agata
- Department of Biomedical and Biotechnological Sciences, Section of Anatomy, Histology and Movement Sciences, University of Catania, 95100 Catania, Italy; (G.M.); (V.D.)
| | - Celeste Caruso Bavisotto
- Department of Biomedicine, Neurosciences and Advanced Diagnostic (BiND), Human Anatomy Section, University of Palermo, 90127 Palermo, Italy; (G.D.); (F.S.)
- Euro-Mediterranean Institute of Science and Technology (IEMEST), 90139 Palermo, Italy
| | - Agata Grazia D’Amico
- Department of Drug and Health Sciences, University of Catania, 95125 Catania, Italy;
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23
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Tang W, Lo CWS, Ma W, Chu ATW, Tong AHY, Chung BHY. Revealing the role of SPP1 + macrophages in glioma prognosis and therapeutic targeting by investigating tumor-associated macrophage landscape in grade 2 and 3 gliomas. Cell Biosci 2024; 14:37. [PMID: 38515213 PMCID: PMC10956315 DOI: 10.1186/s13578-024-01218-4] [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: 10/27/2023] [Accepted: 03/13/2024] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND Glioma is a highly heterogeneous brain tumor categorized into World Health Organization (WHO) grades 1-4 based on its malignancy. The suppressive immune microenvironment of glioma contributes significantly to unfavourable patient outcomes. However, the cellular composition and their complex interplays within the glioma environment remain poorly understood, and reliable prognostic markers remain elusive. Therefore, in-depth exploration of the tumor microenvironment (TME) and identification of predictive markers are crucial for improving the clinical management of glioma patients. RESULTS Our analysis of single-cell RNA-sequencing data from glioma samples unveiled the immunosuppressive role of tumor-associated macrophages (TAMs), mediated through intricate interactions with tumor cells and lymphocytes. We also discovered the heterogeneity within TAMs, among which a group of suppressive TAMs named TAM-SPP1 demonstrated a significant association with Epidermal Growth Factor Receptor (EGFR) amplification, impaired T cell response and unfavourable patient survival outcomes. Furthermore, by leveraging genomic and transcriptomic data from The Cancer Genome Atlas (TCGA) dataset, two distinct molecular subtypes with a different constitution of TAMs, EGFR status and clinical outcomes were identified. Exploiting the molecular differences between these two subtypes, we developed a four-gene-based prognostic model. This model displayed strong associations with an elevated level of suppressive TAMs and could be used to predict anti-tumor immune response and prognosis in glioma patients. CONCLUSION Our findings illuminated the molecular and cellular mechanisms that shape the immunosuppressive microenvironment in gliomas, providing novel insights into potential therapeutic targets. Furthermore, the developed prognostic model holds promise for predicting immunotherapy response and assisting in more precise risk stratification for glioma patients.
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Affiliation(s)
- Wenshu Tang
- Hong Kong Genome Institute, 2/F, Building 20E, Hong Kong Science Park, Hong Kong, China
| | - Cario W S Lo
- Hong Kong Genome Institute, 2/F, Building 20E, Hong Kong Science Park, Hong Kong, China
| | - Wei Ma
- Hong Kong Genome Institute, 2/F, Building 20E, Hong Kong Science Park, Hong Kong, China
| | - Annie T W Chu
- Hong Kong Genome Institute, 2/F, Building 20E, Hong Kong Science Park, Hong Kong, China
| | - Amy H Y Tong
- Hong Kong Genome Institute, 2/F, Building 20E, Hong Kong Science Park, Hong Kong, China
| | - Brian H Y Chung
- Hong Kong Genome Institute, 2/F, Building 20E, Hong Kong Science Park, Hong Kong, China.
- Department of Pediatrics and Adolescent Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
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24
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Kim KH, Migliozzi S, Koo H, Hong JH, Park SM, Kim S, Kwon HJ, Ha S, Garofano L, Oh YT, D'Angelo F, Kim CI, Kim S, Lee JY, Kim J, Hong J, Jang EH, Mathon B, Di Stefano AL, Bielle F, Laurenge A, Nesvizhskii AI, Hur EM, Yin J, Shi B, Kim Y, Moon KS, Kwon JT, Lee SH, Lee SH, Gwak HS, Lasorella A, Yoo H, Sanson M, Sa JK, Park CK, Nam DH, Iavarone A, Park JB. Integrated proteogenomic characterization of glioblastoma evolution. Cancer Cell 2024; 42:358-377.e8. [PMID: 38215747 PMCID: PMC10939876 DOI: 10.1016/j.ccell.2023.12.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 07/11/2023] [Accepted: 12/14/2023] [Indexed: 01/14/2024]
Abstract
The evolutionary trajectory of glioblastoma (GBM) is a multifaceted biological process that extends beyond genetic alterations alone. Here, we perform an integrative proteogenomic analysis of 123 longitudinal glioblastoma pairs and identify a highly proliferative cellular state at diagnosis and replacement by activation of neuronal transition and synaptogenic pathways in recurrent tumors. Proteomic and phosphoproteomic analyses reveal that the molecular transition to neuronal state at recurrence is marked by post-translational activation of the wingless-related integration site (WNT)/ planar cell polarity (PCP) signaling pathway and BRAF protein kinase. Consistently, multi-omic analysis of patient-derived xenograft (PDX) models mirror similar patterns of evolutionary trajectory. Inhibition of B-raf proto-oncogene (BRAF) kinase impairs both neuronal transition and migration capability of recurrent tumor cells, phenotypic hallmarks of post-therapy progression. Combinatorial treatment of temozolomide (TMZ) with BRAF inhibitor, vemurafenib, significantly extends the survival of PDX models. This study provides comprehensive insights into the biological mechanisms of glioblastoma evolution and treatment resistance, highlighting promising therapeutic strategies for clinical intervention.
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Affiliation(s)
- Kyung-Hee Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea; Proteomics Core Facility, Research Core Center, Research Institute, National Cancer Center, Goyang, Korea
| | - Simona Migliozzi
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Harim Koo
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea; Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Korea; Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
| | - Jun-Hee Hong
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Seung Min Park
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Sooheon Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Hyung Joon Kwon
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Seokjun Ha
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Luciano Garofano
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Young Taek Oh
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Fulvio D'Angelo
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Chan Il Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Seongsoo Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Ji Yoon Lee
- Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Korea; Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
| | - Jiwon Kim
- Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Korea; Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
| | - Jisoo Hong
- Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Korea; Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
| | - Eun-Hae Jang
- Laboratory of Neuroscience, College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, Korea
| | - Bertrand Mathon
- Service de Neurochirurgie, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Paris, France
| | - Anna-Luisa Di Stefano
- Institut de Neurologie, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Paris, France; Sorbonne Université, Inserm, CNRS, UMR S 1127, Paris Brain Institute (ICM), Equipe labellisée LNCC, Paris, France; Onconeurotek, AP-HP, Hôpital Pitié-Salpêtrière, F-75013 Paris, France; Department of Neurology, Foch Hospital, Suresnes, France
| | - Franck Bielle
- Institut de Neurologie, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Paris, France; Sorbonne Université, Inserm, CNRS, UMR S 1127, Paris Brain Institute (ICM), Equipe labellisée LNCC, Paris, France; Onconeurotek, AP-HP, Hôpital Pitié-Salpêtrière, F-75013 Paris, France
| | - Alice Laurenge
- Institut de Neurologie, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Paris, France; Sorbonne Université, Inserm, CNRS, UMR S 1127, Paris Brain Institute (ICM), Equipe labellisée LNCC, Paris, France; Onconeurotek, AP-HP, Hôpital Pitié-Salpêtrière, F-75013 Paris, France
| | | | - Eun-Mi Hur
- Laboratory of Neuroscience, College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul, Korea; BK21 Four Future Veterinary Medicine Leading Education & Research Center, College of Veterinary Medicine, Seoul National University, Seoul, Korea
| | - Jinlong Yin
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea; Henan-Macquarie University Joint Centre for Biomedical Innovation, School of Life Sciences, Henan University, Kaifeng, Henan, China
| | - Bingyang Shi
- Henan-Macquarie University Joint Centre for Biomedical Innovation, School of Life Sciences, Henan University, Kaifeng, Henan, China
| | - Youngwook Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Kyung-Sub Moon
- Department of Neurosurgery, Chonnam National University Hwasun Hospital and Medical School, Hwasun, Korea
| | - Jeong Taik Kwon
- Department of Neurosurgery, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea
| | - Shin Heon Lee
- Department of Neurosurgery, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea
| | - Seung Hoon Lee
- Department of Neurosurgery, Eulji University School of Medicine, Daejeon, Korea
| | - Ho Shin Gwak
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Anna Lasorella
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA; Department of Biochemistry, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Heon Yoo
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Marc Sanson
- Institut de Neurologie, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière - Charles Foix, Paris, France; Sorbonne Université, Inserm, CNRS, UMR S 1127, Paris Brain Institute (ICM), Equipe labellisée LNCC, Paris, France; Onconeurotek, AP-HP, Hôpital Pitié-Salpêtrière, F-75013 Paris, France.
| | - Jason K Sa
- Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Korea; Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea.
| | - Chul-Kee Park
- Deparment of Neurosurgery, Seoul National University College of Medicine, Seoul, Korea.
| | - Do-Hyun Nam
- Department of Neurosurgery and Samsung Advanced Institute for Health Sciences and Technology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
| | - Antonio Iavarone
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA; Department of Neurological Surgery and Department of Biochemistry, University of Miami Miller School of Medicine, Miami, FL, USA.
| | - Jong Bae Park
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea; Department of Clinical Research, Research Institute and Hospital, National Cancer Center, Goyang, Korea.
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25
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Leander R, Owanga G, Nelson D, Liu Y. A Mathematical Model of Stroma-Supported Allometric Tumor Growth. Bull Math Biol 2024; 86:38. [PMID: 38446260 DOI: 10.1007/s11538-024-01265-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 01/29/2024] [Indexed: 03/07/2024]
Abstract
Mounting empirical research suggests that the stroma, or interface between healthy and cancerous tissue, is a critical determinate of cancer invasion. At the same time, a cancer cell's location and potential to proliferate can influence its sensitivity to cancer treatments. In this paper, we use ordinary differential equations to develop spatially structured models for solid tumors wherein the growth of tumor components is coordinated. The model tumors feature two components, a proliferating peripheral growth region, which potentially includes a mix of cancerous and noncancerous stroma cells, and a solid tumor core. Mathematical and numerical analysis are used to investigate how coordinated expansion of the tumor growth region and core can influence overall growth dynamics in a variety of tumor types. Model assumptions, which are motivated by empirical and in silico solid tumor research, are evaluated through comparison to tumor volume data and existing models of tumor growth.
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Affiliation(s)
- Rachel Leander
- Department of Mathematical Sciences, Middle Tennessee State University, MTSU Box 34, Murfreesboro, TN, 37132, USA.
| | - Greg Owanga
- Department of Mathematics, Florida State University, 1017 Academic Way, Tallahassee, FL, 32306, USA
| | - David Nelson
- Department of Biology, Middle Tennessee State University, MTSU Box 60, Murfreesboro, TN, 610101, USA
| | - Yeqian Liu
- Department of Mathematical Sciences, Middle Tennessee State University, MTSU Box 34, Murfreesboro, TN, 37132, USA
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26
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Wang P, Ning J, Chen W, Zou F, Yu W, Rao T, Cheng F. Comprehensive analysis indicated that NDE1 is a potential biomarker for pan-cancer and promotes bladder cancer progression. Cancer Med 2024; 13:e6931. [PMID: 38466053 PMCID: PMC10926885 DOI: 10.1002/cam4.6931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 11/08/2023] [Accepted: 12/31/2023] [Indexed: 03/12/2024] Open
Abstract
BACKGROUND The nuclear distribution E homologue 1 (NDE1) is a crucial dynein binding partner. The NDE1 protein has the potential to disrupt the normal functioning of centrosomes, leading to a compromised ability to generate spindles and ensure precise separation of chromosomes during cell division. The potential consequences of this phenomenon include genomic instability, malignant transformation and the proliferation of neoplastic growths. However, studies examining the connection between NDE1 and cancer is still very rare. METHODS The expression level, prognostic impact, gene change, DNA methylation, protein interaction, mRNA m6A modification, ceRNA network, associated gene and function enrichment, and immune-related effects of NDE1 in pan-cancer were examined using a range of online analytic tools and the R software package. The CCK-8 test, transwell assay, scratch assay and colony formation assay were used to confirm the effects of NDE1 on the proliferation, invasion and metastasis of bladder cancer cells. RESULTS Numerous tumour types have elevated NDE1, which is linked to a bad prognosis. NDE1 is an excellent diagnostic tool for many different types of cancer. Numerous malignancies have been linked to genetic changes in NDE1. NDE1 was connected to TMB, MSI, several immunological checkpoint genes and immune cell infiltration. NDE1 is linked to a number of immunological subtypes. NDE1 could affect how well immunotherapy works to treat different types of cancer. NDE1 was mostly associated with cell cycle, chromosomal segregation, DNA replication and mitotic segregation, according to GO and KEGG analyses. NDE1 physically binds to PAFAH1B1 and DCTN1, respectively. The proliferation, invasion and metastasis of bladder cancer cells may be prevented by NDE1 knockdown. Furthermore, knockdown of NDE1 promoted the apoptosis of bladder cancer cells. CONCLUSION High expression of NDE1 is present in a variety of tumours, which is linked to a bad prognosis for cancer. Knockdown of NDE1 inhibited the proliferation, invasion and metastasis of bladder cancer cells, and promoted the apoptosis. For a number of malignancies, NDE1 may be a biomarker for immunotherapy and prognosis.
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Affiliation(s)
- Peihan Wang
- Department of Urology, Hubei International Scientific and Technological Cooperation Base of ImmunotherapyRenmin Hospital of Wuhan UniversityWuhanP.R. China
| | - Jinzhuo Ning
- Department of Urology, Hubei International Scientific and Technological Cooperation Base of ImmunotherapyRenmin Hospital of Wuhan UniversityWuhanP.R. China
| | - Wu Chen
- Department of Urology, Hubei International Scientific and Technological Cooperation Base of ImmunotherapyRenmin Hospital of Wuhan UniversityWuhanP.R. China
| | - Fan Zou
- Department of Urology, Hubei International Scientific and Technological Cooperation Base of ImmunotherapyRenmin Hospital of Wuhan UniversityWuhanP.R. China
| | - Weimin Yu
- Department of Urology, Hubei International Scientific and Technological Cooperation Base of ImmunotherapyRenmin Hospital of Wuhan UniversityWuhanP.R. China
| | - Ting Rao
- Department of Urology, Hubei International Scientific and Technological Cooperation Base of ImmunotherapyRenmin Hospital of Wuhan UniversityWuhanP.R. China
| | - Fan Cheng
- Department of Urology, Hubei International Scientific and Technological Cooperation Base of ImmunotherapyRenmin Hospital of Wuhan UniversityWuhanP.R. China
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27
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McPhedran SJ, Carleton GA, Lum JJ. Metabolic engineering for optimized CAR-T cell therapy. Nat Metab 2024; 6:396-408. [PMID: 38388705 DOI: 10.1038/s42255-024-00976-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 01/04/2024] [Indexed: 02/24/2024]
Abstract
The broad effectiveness of T cell-based therapy for treating solid tumour cancers remains limited. This is partly due to the growing appreciation that immune cells must inhabit and traverse a metabolically demanding tumour environment. Accordingly, recent efforts have centred on using genome-editing technologies to augment T cell-mediated cytotoxicity by manipulating specific metabolic genes. However, solid tumours exhibit numerous characteristics restricting immune cell-mediated cytotoxicity, implying a need for metabolic engineering at the pathway level rather than single gene targets. This emerging concept has yet to be put into clinical practice as many questions concerning the complex interplay between metabolic networks and T cell function remain unsolved. This Perspective will highlight key foundational studies that examine the relevant metabolic pathways required for effective T cell cytotoxicity and persistence in the human tumour microenvironment, feasible strategies for metabolic engineering to increase the efficiency of chimeric antigen receptor T cell-based approaches, and the challenges lying ahead for clinical implementation.
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Affiliation(s)
- Sarah J McPhedran
- Trev and Joyce Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada
- Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, Canada
| | - Gillian A Carleton
- Trev and Joyce Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada
- Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, Canada
| | - Julian J Lum
- Trev and Joyce Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada.
- Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, Canada.
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28
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Kraus FBT, Sultova E, Heinrich K, Jung A, Westphalen CB, Tauber CV, Kumbrink J, Rudelius M, Klauschen F, Greif PA, König A, Chelariu-Raicu A, Czogalla B, Burges A, Mahner S, Wuerstlein R, Trillsch F. Genetics and beyond: Precision Medicine Real-World Data for Patients with Cervical, Vaginal or Vulvar Cancer in a Tertiary Cancer Center. Int J Mol Sci 2024; 25:2345. [PMID: 38397025 PMCID: PMC10888648 DOI: 10.3390/ijms25042345] [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: 01/14/2024] [Revised: 02/09/2024] [Accepted: 02/09/2024] [Indexed: 02/25/2024] Open
Abstract
Advances in molecular tumor diagnostics have transformed cancer care. However, it remains unclear whether precision oncology has the same impact and transformative nature across all malignancies. We conducted a retrospective analysis of patients with human papillomavirus (HPV)-related gynecologic malignancies who underwent comprehensive molecular profiling and subsequent discussion at the interdisciplinary Molecular Tumor Board (MTB) of the University Hospital, LMU Munich, between 11/2017 and 06/2022. We identified a total cohort of 31 patients diagnosed with cervical (CC), vaginal or vulvar cancer. Twenty-two patients (fraction: 0.71) harbored at least one mutation. Fifteen patients (0.48) had an actionable mutation and fourteen (0.45) received a recommendation for a targeted treatment within the MTB. One CC patient received a biomarker-guided treatment recommended by the MTB and achieved stable disease on the mTOR inhibitor temsirolimus for eight months. Factors leading to non-adherence to MTB recommendations in other patient cases included informed patient refusal, rapid deterioration, stable disease, or use of alternative targeted but biomarker-agnostic treatments such as antibody-drug conjugates or checkpoint inhibitors. Despite a remarkable rate of actionable mutations in HPV-related gynecologic malignancies at our institution, immediate implementation of biomarker-guided targeted treatment recommendations remained low, and access to targeted treatment options after MTB discussion remained a major challenge.
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Affiliation(s)
- Fabian B. T. Kraus
- Department of Obstetrics and Gynecology, Comprehensive Cancer Center Munich, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
- Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Elena Sultova
- Department of Obstetrics and Gynecology, Comprehensive Cancer Center Munich, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Kathrin Heinrich
- Department of Medicine III, Comprehensive Cancer Center Munich, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Andreas Jung
- Institute of Pathology, Comprehensive Cancer Center Munich, LMU University Hospital, Ludwig Maximilians University (LMU), 81377 Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, 81377 Munich, Germany
| | - C. Benedikt Westphalen
- Department of Medicine III, Comprehensive Cancer Center Munich, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, 81377 Munich, Germany
| | - Christina V. Tauber
- Department of Obstetrics and Gynecology, Comprehensive Cancer Center Munich, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Jörg Kumbrink
- Institute of Pathology, Comprehensive Cancer Center Munich, LMU University Hospital, Ludwig Maximilians University (LMU), 81377 Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, 81377 Munich, Germany
| | - Martina Rudelius
- Institute of Pathology, Comprehensive Cancer Center Munich, LMU University Hospital, Ludwig Maximilians University (LMU), 81377 Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, 81377 Munich, Germany
| | - Frederick Klauschen
- Institute of Pathology, Comprehensive Cancer Center Munich, LMU University Hospital, Ludwig Maximilians University (LMU), 81377 Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, 81377 Munich, Germany
| | - Philipp A. Greif
- Department of Medicine III, Comprehensive Cancer Center Munich, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, 81377 Munich, Germany
- German Cancer Research Center (DKFZ), 69121 Heidelberg, Germany
| | - Alexander König
- Department of Obstetrics and Gynecology, Comprehensive Cancer Center Munich, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Anca Chelariu-Raicu
- Department of Obstetrics and Gynecology, Comprehensive Cancer Center Munich, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Bastian Czogalla
- Department of Obstetrics and Gynecology, Comprehensive Cancer Center Munich, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Alexander Burges
- Department of Obstetrics and Gynecology, Comprehensive Cancer Center Munich, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Sven Mahner
- Department of Obstetrics and Gynecology, Comprehensive Cancer Center Munich, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Rachel Wuerstlein
- Department of Obstetrics and Gynecology, Comprehensive Cancer Center Munich, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Fabian Trillsch
- Department of Obstetrics and Gynecology, Comprehensive Cancer Center Munich, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
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Yang W, Liu S, Mao M, Gong Y, Li X, Lei T, Liu C, Wu S, Hu Q. T-cell infiltration and its regulatory mechanisms in cancers: insights at single-cell resolution. J Exp Clin Cancer Res 2024; 43:38. [PMID: 38303018 PMCID: PMC10835979 DOI: 10.1186/s13046-024-02960-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 01/19/2024] [Indexed: 02/03/2024] Open
Abstract
Tumor-infiltrating T cells recognize, attack, and clear tumor cells, playing a central role in antitumor immune response. However, certain immune cells can impair this response and help tumor immune escape. Therefore, exploring the factors that influence T-cell infiltration is crucial to understand tumor immunity and improve therapeutic effect of cancer immunotherapy. The use of single-cell RNA sequencing (scRNA-seq) allows the high-resolution analysis of the precise composition of immune cells with different phenotypes and other microenvironmental factors, including non-immune stromal cells and the related molecules in the tumor microenvironment of various cancer types. In this review, we summarized the research progress on T-cell infiltration and the crosstalk of other stromal cells and cytokines during T-cell infiltration using scRNA-seq to provide insights into the mechanisms regulating T-cell infiltration and contribute new perspectives on tumor immunotherapy.
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Affiliation(s)
- Wenhui Yang
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Shimao Liu
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Mengyun Mao
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Yandong Gong
- State Key Laboratory of Experimental Hematology, Senior Department of Hematology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, 100071, China
| | - Xiaohui Li
- Department of Medical Oncology, Peking University First Hospital, Beijing, 100034, China
| | - Tianyu Lei
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Chao Liu
- Department of Radiation Oncology, Peking University First Hospital, Beijing, 100034, China.
| | - Shikai Wu
- Department of Medical Oncology, Peking University First Hospital, Beijing, 100034, China.
| | - Qinyong Hu
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
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30
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Losurdo A, Di Muzio A, Cianciotti BC, Dipasquale A, Persico P, Barigazzi C, Bono B, Feno S, Pessina F, Santoro A, Simonelli M. T Cell Features in Glioblastoma May Guide Therapeutic Strategies to Overcome Microenvironment Immunosuppression. Cancers (Basel) 2024; 16:603. [PMID: 38339353 PMCID: PMC10854506 DOI: 10.3390/cancers16030603] [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: 12/28/2023] [Revised: 01/23/2024] [Accepted: 01/25/2024] [Indexed: 02/12/2024] Open
Abstract
Glioblastoma (GBM) is the most aggressive and lethal primary brain tumor, bearing a survival estimate below 10% at five years, despite standard chemoradiation treatment. At recurrence, systemic treatment options are limited and the standard of care is not well defined, with inclusion in clinical trials being highly encouraged. So far, the use of immunotherapeutic strategies in GBM has not proved to significantly improve patients' prognosis in the treatment of newly diagnosed GBM, nor in the recurrent setting. Probably this has to do with the unique immune environment of the central nervous system, which harbors several immunosuppressive/pro-tumorigenic factors, both soluble (e.g., TGF-β, IL-10, STAT3, prostaglandin E2, and VEGF) and cellular (e.g., Tregs, M2 phenotype TAMs, and MDSC). Here we review the immune composition of the GBMs microenvironment, specifically focusing on the phenotype and function of the T cell compartment. Moreover, we give hints on the therapeutic strategies, such as immune checkpoint blockade, vaccinations, and adoptive cell therapy, that, interacting with tumor-infiltrating lymphocytes, might both target in different ways the tumor microenvironment and potentiate the activity of standard therapies. The path to be followed in advancing clinical research on immunotherapy for GBM treatment relies on a twofold strategy: testing combinatorial treatments, aiming to restore active immune anti-tumor responses, tackling immunosuppression, and additionally, designing more phase 0 and window opportunity trials with solid translational analyses to gain deeper insight into the on-treatment shaping of the GBM microenvironment.
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Affiliation(s)
- Agnese Losurdo
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy; (A.L.); (A.D.M.); (A.D.); (P.P.); (C.B.); (A.S.)
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy;
| | - Antonio Di Muzio
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy; (A.L.); (A.D.M.); (A.D.); (P.P.); (C.B.); (A.S.)
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy;
| | - Beatrice Claudia Cianciotti
- Laboratory of Translational Immunology, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy; (B.C.C.); (S.F.)
| | - Angelo Dipasquale
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy; (A.L.); (A.D.M.); (A.D.); (P.P.); (C.B.); (A.S.)
| | - Pasquale Persico
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy; (A.L.); (A.D.M.); (A.D.); (P.P.); (C.B.); (A.S.)
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy;
| | - Chiara Barigazzi
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy; (A.L.); (A.D.M.); (A.D.); (P.P.); (C.B.); (A.S.)
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy;
| | - Beatrice Bono
- Department of Neurosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy;
| | - Simona Feno
- Laboratory of Translational Immunology, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy; (B.C.C.); (S.F.)
| | - Federico Pessina
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy;
- Department of Neurosurgery, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy;
| | - Armando Santoro
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy; (A.L.); (A.D.M.); (A.D.); (P.P.); (C.B.); (A.S.)
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy;
| | - Matteo Simonelli
- Medical Oncology and Hematology Unit, IRCCS Humanitas Research Hospital, Rozzano, 20089 Milan, Italy; (A.L.); (A.D.M.); (A.D.); (P.P.); (C.B.); (A.S.)
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy;
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31
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Ye F, Wang L, Li Y, Dong C, Zhou L, Xu J. IL4I1 in M2-like macrophage promotes glioma progression and is a promising target for immunotherapy. Front Immunol 2024; 14:1338244. [PMID: 38250074 PMCID: PMC10799346 DOI: 10.3389/fimmu.2023.1338244] [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: 11/14/2023] [Accepted: 12/12/2023] [Indexed: 01/23/2024] Open
Abstract
Background Glioma is the prevailing malignant intracranial tumor, characterized by an abundance of macrophages. Specifically, the infiltrating macrophages often display the M2 subtype and are known as tumor-associated macrophages (TAMs). They have a critical role in promoting the oncogenic properties of tumor cells. Interleukin-4-induced-1 (IL4I1) functions as an L-phenylalanine oxidase, playing a key part in regulating immune responses and the progression of various tumors. However, there is limited understanding of the IL4I1-mediated cross-talk function between TAMs and glioma cell in the glioma microenvironment. Methods TCGA, GTEx, and HPA databases were applied to assess the IL4I1 expression, clinical characteristics, and prognostic value of pan-cancer. The link between IL4I1 levels and the prognosis, methylation, and immune checkpoints (ICs) in gliomas were explored through Kaplan-Meier curve, Cox regression, and Spearman correlation analyses. The IL4I1 levels and their distribution were investigated by single-cell analysis and the TIMER 2 database. Additionally, validation of IL4I1 expression was performed by WB, RT-qPCR, IHC, and IF. Co-culture models between glioma cells and M2-like macrophages were used to explore the IL4I1-mediated effects on tumor growth, invasion, and migration of glioma cells. Moreover, the function of IL4I1 on macrophage polarization was evaluated by ELISA, RT-qPCR, WB, and siRNA transfection. Results Both transcriptome and protein levels of IL4I1 were increased obviously in various tumor types, and correlated with a dismal prognosis. Specifically, IL4I1 was implicated in aggressive progression and a dismal prognosis for patients with glioma. A negative association was noticed between the glioma grade and DNA promoter methylation of IL4I1. Enrichment analyses in glioma patients suggested that IL4I1 was linked to cytokine and immune responses, and was positively correlated with ICs. Single-cell analysis, molecular experiments, and in vitro assays showed that IL4I1 was significantly expressed in TAMs. Importantly, co-culture models proved that IL4I1 significantly promoted the invasion and migration of glioma cells, and induced the polarization of M2-like macrophages. Conclusion IL4I1 could be a promising immunotherapy target for selective modulation of TAMs and stands as a novel macrophage-related prognostic biomarker in glioma.
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Affiliation(s)
| | | | | | | | - Liangxue Zhou
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Jianguo Xu
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
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Oudin A, Moreno-Sanchez PM, Baus V, Niclou SP, Golebiewska A. Magnetic resonance imaging-guided intracranial resection of glioblastoma tumors in patient-derived orthotopic xenografts leads to clinically relevant tumor recurrence. BMC Cancer 2024; 24:3. [PMID: 38166949 PMCID: PMC10763155 DOI: 10.1186/s12885-023-11774-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 12/18/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Preclinical in vivo cancer models are essential tools for investigating tumor progression and response to treatment prior to clinical trials. Although treatment modalities are regularly assessed in mice upon tumor growth in vivo, surgical resection remains challenging, particularly in the orthotopic site. Here, we report a successful surgical resection of glioblastoma (GBM) in patient-derived orthotopic xenografts (PDOXs). METHODS We derived a cohort of 46 GBM PDOX models that faithfully recapitulate human disease in mice. We assessed the detection and quantification of intracranial tumors using magnetic resonance imaging (MRI).To evaluate feasibility of surgical resection in PDOXs, we selected two models representing histopathological features of GBM tumors, including diffuse growth into the mouse brain. Surgical resection in the mouse brains was performed based on MRI-guided coordinates. Survival study followed by MRI and immunohistochemistry-based evaluation of recurrent tumors allowed for assessment of clinically relevant parameters. RESULTS We demonstrate the utility of MRI for the noninvasive assessment of in vivo tumor growth, preoperative programming of resection coordinates and follow-up of tumor recurrence. We report tumor detection by MRI in 90% of GBM PDOX models (36/40), of which 55% (22/40) can be reliably quantified during tumor growth. We show that a surgical resection protocol in mice carrying diffuse primary GBM tumors in the brain leads to clinically relevant outcomes. Similar to neurosurgery in patients, we achieved a near total to complete extent of tumor resection, and mice with resected tumors presented significantly increased survival. The remaining unresected GBM cells that invaded the normal mouse brain prior to surgery regrew tumors with similar histopathological features and tumor microenvironments to the primary tumors. CONCLUSIONS Our data positions GBM PDOXs developed in mouse brains as a valuable preclinical model for conducting therapeutic studies that involve surgical tumor resection. The high detectability of tumors by MRI across a substantial number of PDOX models in mice will allow for scalability of our approach toward specific tumor types for efficacy studies in precision medicine-oriented approaches. Additionally, these models hold promise for the development of enhanced image-guided surgery protocols.
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Affiliation(s)
- Anais Oudin
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), 6A, Rue Nicolas-Ernest Barblé, Luxembourg, L-1210, Luxembourg
| | - Pilar M Moreno-Sanchez
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), 6A, Rue Nicolas-Ernest Barblé, Luxembourg, L-1210, Luxembourg
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, Belvaux, L-4367, Luxembourg
| | - Virginie Baus
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), 6A, Rue Nicolas-Ernest Barblé, Luxembourg, L-1210, Luxembourg
| | - Simone P Niclou
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), 6A, Rue Nicolas-Ernest Barblé, Luxembourg, L-1210, Luxembourg
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, Belvaux, L-4367, Luxembourg
| | - Anna Golebiewska
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health (LIH), 6A, Rue Nicolas-Ernest Barblé, Luxembourg, L-1210, Luxembourg.
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Xiao N, Yang W, Wang J, Li J, Zhao R, Li M, Li C, Liu K, Li Y, Yin C, Chen Z, Li X, Jiang Y. Protein structuromics: A new method for protein structure-function crosstalk in glioma. Proteins 2024; 92:24-36. [PMID: 37497743 DOI: 10.1002/prot.26555] [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: 03/25/2023] [Revised: 06/16/2023] [Accepted: 07/04/2023] [Indexed: 07/28/2023]
Abstract
Glioma is a type of tumor that starts in the glial cells of the brain or spine. Since the 1800s, when the disease was first named, its survival rates have always been unsatisfactory. Despite great advances in molecular biology and traditional treatment methods, many questions regarding cancer occurrence and the underlying mechanism remain to be answered. In this study, we assessed the protein structural features of 20 oncogenes and 20 anti-oncogenes via protein structure and dynamic analysis methods and 3D structural and systematic analyses of the structure-function relationships of proteins. All of these results directly indicate that unfavorable group proteins show more complex structures than favorable group proteins. As the tumor cell microenvironment changes, the balance of oncogene-related and anti-oncogene-related proteins is disrupted, and most of the structures of the two groups of proteins will be disrupted. However, more unfavorable group proteins will maintain and refold to achieve their correct shape faster and perform their functions more quickly than favorable group proteins, and the former thus support cancer development. We hope that these analyses will help promote mechanistic research and the development of new treatments for glioma.
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Affiliation(s)
- Nan Xiao
- Department of Medical Science, Medical College of Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Wenming Yang
- Department of Neurosurgery, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Jin Wang
- Department of Rehabilitation, Medical College of Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Jiarong Li
- Department of Rehabilitation, Medical College of Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Ruoxuan Zhao
- Department of Medical Science, Medical College of Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Muzheng Li
- Department of Rehabilitation, Medical College of Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Chi Li
- Department of Anesthesiology, Medical College of Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Kang Liu
- Department of Medical Science, Medical College of Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Yingxin Li
- Department of Medical Science, Medical College of Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Chaoqun Yin
- Department of Medical Science, Medical College of Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Zhibo Chen
- Department of Medical Science, Medical College of Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Xingqi Li
- Department of Medicine, Medical College of Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Yun Jiang
- Department of Medical Science, Medical College of Jinzhou Medical University, Jinzhou, Liaoning, China
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Chiariello M, Inzalaco G, Barone V, Gherardini L. Overcoming challenges in glioblastoma treatment: targeting infiltrating cancer cells and harnessing the tumor microenvironment. Front Cell Neurosci 2023; 17:1327621. [PMID: 38188666 PMCID: PMC10767996 DOI: 10.3389/fncel.2023.1327621] [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: 10/25/2023] [Accepted: 12/05/2023] [Indexed: 01/09/2024] Open
Abstract
Glioblastoma (GB) is a highly malignant primary brain tumor with limited treatment options and poor prognosis. Despite current treatment approaches, including surgical resection, radiation therapy, and chemotherapy with temozolomide (TMZ), GB remains mostly incurable due to its invasive growth pattern, limited drug penetration beyond the blood-brain barrier (BBB), and resistance to conventional therapies. One of the main challenges in GB treatment is effectively eliminating infiltrating cancer cells that remain in the brain parenchyma after primary tumor resection. We've reviewed the most recent challenges and surveyed the potential strategies aimed at enhancing local treatment outcomes.
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Affiliation(s)
- Mario Chiariello
- Institute of Clinical Physiology, Consiglio Nazionale delle Ricerche, Via Fiorentina, Siena, Italy
- Core Research Laboratory (CRL), Istituto per lo Studio, la Prevenzione e la Rete Oncologica (ISPRO), Via Fiorentina, Siena, Italy
| | - Giovanni Inzalaco
- Institute of Clinical Physiology, Consiglio Nazionale delle Ricerche, Via Fiorentina, Siena, Italy
- Core Research Laboratory (CRL), Istituto per lo Studio, la Prevenzione e la Rete Oncologica (ISPRO), Via Fiorentina, Siena, Italy
- Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Virginia Barone
- Department of Molecular and Developmental Medicine, University of Siena, Siena, Italy
| | - Lisa Gherardini
- Institute of Clinical Physiology, Consiglio Nazionale delle Ricerche, Via Fiorentina, Siena, Italy
- Core Research Laboratory (CRL), Istituto per lo Studio, la Prevenzione e la Rete Oncologica (ISPRO), Via Fiorentina, Siena, Italy
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Finotto L, Cole B, Giese W, Baumann E, Claeys A, Vanmechelen M, Decraene B, Derweduwe M, Dubroja Lakic N, Shankar G, Nagathihalli Kantharaju M, Albrecht JP, Geudens I, Stanchi F, Ligon KL, Boeckx B, Lambrechts D, Harrington K, Van Den Bosch L, De Vleeschouwer S, De Smet F, Gerhardt H. Single-cell profiling and zebrafish avatars reveal LGALS1 as immunomodulating target in glioblastoma. EMBO Mol Med 2023; 15:e18144. [PMID: 37791581 PMCID: PMC10630887 DOI: 10.15252/emmm.202318144] [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: 06/09/2023] [Revised: 08/29/2023] [Accepted: 09/04/2023] [Indexed: 10/05/2023] Open
Abstract
Glioblastoma (GBM) remains the most malignant primary brain tumor, with a median survival rarely exceeding 2 years. Tumor heterogeneity and an immunosuppressive microenvironment are key factors contributing to the poor response rates of current therapeutic approaches. GBM-associated macrophages (GAMs) often exhibit immunosuppressive features that promote tumor progression. However, their dynamic interactions with GBM tumor cells remain poorly understood. Here, we used patient-derived GBM stem cell cultures and combined single-cell RNA sequencing of GAM-GBM co-cultures and real-time in vivo monitoring of GAM-GBM interactions in orthotopic zebrafish xenograft models to provide insight into the cellular, molecular, and spatial heterogeneity. Our analyses revealed substantial heterogeneity across GBM patients in GBM-induced GAM polarization and the ability to attract and activate GAMs-features that correlated with patient survival. Differential gene expression analysis, immunohistochemistry on original tumor samples, and knock-out experiments in zebrafish subsequently identified LGALS1 as a primary regulator of immunosuppression. Overall, our work highlights that GAM-GBM interactions can be studied in a clinically relevant way using co-cultures and avatar models, while offering new opportunities to identify promising immune-modulating targets.
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Affiliation(s)
- Lise Finotto
- Max Delbrück Center for Molecular Medicine in the Helmholtz AssociationBerlinGermany
- VIB ‐ KU Leuven Center for Cancer BiologyVIB ‐ KU LeuvenLeuvenBelgium
- The Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research Unit, Department of Imaging & PathologyKU LeuvenLeuvenBelgium
- KU Leuven Institute for Single Cell Omics (LISCO)KU LeuvenLeuvenBelgium
| | - Basiel Cole
- The Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research Unit, Department of Imaging & PathologyKU LeuvenLeuvenBelgium
- KU Leuven Institute for Single Cell Omics (LISCO)KU LeuvenLeuvenBelgium
| | - Wolfgang Giese
- Max Delbrück Center for Molecular Medicine in the Helmholtz AssociationBerlinGermany
- DZHK (German Center for Cardiovascular Research), Partner Site BerlinBerlinGermany
| | - Elisabeth Baumann
- Max Delbrück Center for Molecular Medicine in the Helmholtz AssociationBerlinGermany
- Charité ‐ Universitätsmedizin BerlinBerlinGermany
| | - Annelies Claeys
- The Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research Unit, Department of Imaging & PathologyKU LeuvenLeuvenBelgium
- KU Leuven Institute for Single Cell Omics (LISCO)KU LeuvenLeuvenBelgium
| | - Maxime Vanmechelen
- The Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research Unit, Department of Imaging & PathologyKU LeuvenLeuvenBelgium
- KU Leuven Institute for Single Cell Omics (LISCO)KU LeuvenLeuvenBelgium
- Department of Medical OncologyUniversity Hospitals LeuvenLeuvenBelgium
| | - Brecht Decraene
- The Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research Unit, Department of Imaging & PathologyKU LeuvenLeuvenBelgium
- KU Leuven Institute for Single Cell Omics (LISCO)KU LeuvenLeuvenBelgium
- Laboratory of Experimental Neurosurgery and Neuroanatomy, Department of Neurosciences, KU Leuven & Leuven Brain Institute (LBI)KU LeuvenLeuvenBelgium
- Department of NeurosurgeryUniversity Hospitals LeuvenLeuvenBelgium
| | - Marleen Derweduwe
- The Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research Unit, Department of Imaging & PathologyKU LeuvenLeuvenBelgium
- KU Leuven Institute for Single Cell Omics (LISCO)KU LeuvenLeuvenBelgium
| | - Nikolina Dubroja Lakic
- The Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research Unit, Department of Imaging & PathologyKU LeuvenLeuvenBelgium
- KU Leuven Institute for Single Cell Omics (LISCO)KU LeuvenLeuvenBelgium
| | - Gautam Shankar
- The Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research Unit, Department of Imaging & PathologyKU LeuvenLeuvenBelgium
- KU Leuven Institute for Single Cell Omics (LISCO)KU LeuvenLeuvenBelgium
| | - Madhu Nagathihalli Kantharaju
- Max Delbrück Center for Molecular Medicine in the Helmholtz AssociationBerlinGermany
- Humboldt University of BerlinBerlinGermany
| | - Jan Philipp Albrecht
- Max Delbrück Center for Molecular Medicine in the Helmholtz AssociationBerlinGermany
- Humboldt University of BerlinBerlinGermany
| | - Ilse Geudens
- VIB ‐ KU Leuven Center for Cancer BiologyVIB ‐ KU LeuvenLeuvenBelgium
| | - Fabio Stanchi
- VIB ‐ KU Leuven Center for Cancer BiologyVIB ‐ KU LeuvenLeuvenBelgium
| | - Keith L Ligon
- Center for Neuro‐oncologyDana‐Farber Cancer InstituteBostonMAUSA
- Department of PathologyBrigham and Women's HospitalBostonMAUSA
- Department of PathologyHarvard Medical SchoolBostonMAUSA
| | - Bram Boeckx
- VIB ‐ KU Leuven Center for Cancer BiologyVIB ‐ KU LeuvenLeuvenBelgium
- KU Leuven Institute for Single Cell Omics (LISCO)KU LeuvenLeuvenBelgium
- Laboratory of Translational Genetics, Department of Human GeneticsKU LeuvenLeuvenBelgium
| | - Diether Lambrechts
- VIB ‐ KU Leuven Center for Cancer BiologyVIB ‐ KU LeuvenLeuvenBelgium
- KU Leuven Institute for Single Cell Omics (LISCO)KU LeuvenLeuvenBelgium
- Laboratory of Translational Genetics, Department of Human GeneticsKU LeuvenLeuvenBelgium
| | - Kyle Harrington
- Max Delbrück Center for Molecular Medicine in the Helmholtz AssociationBerlinGermany
- Chan Zuckerberg InitiativeRedwood CityCAUSA
| | - Ludo Van Den Bosch
- Laboratory of Neurobiology, Department of Neurosciences, Experimental Neurology & Leuven Brain Institute (LBI)KU LeuvenLeuvenBelgium
- VIB ‐ KU Leuven Center for Brain & Disease Research, Laboratory of NeurobiologyVIB ‐ KU LeuvenLeuvenBelgium
| | - Steven De Vleeschouwer
- KU Leuven Institute for Single Cell Omics (LISCO)KU LeuvenLeuvenBelgium
- Laboratory of Experimental Neurosurgery and Neuroanatomy, Department of Neurosciences, KU Leuven & Leuven Brain Institute (LBI)KU LeuvenLeuvenBelgium
- Department of NeurosurgeryUniversity Hospitals LeuvenLeuvenBelgium
| | - Frederik De Smet
- The Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research Unit, Department of Imaging & PathologyKU LeuvenLeuvenBelgium
- KU Leuven Institute for Single Cell Omics (LISCO)KU LeuvenLeuvenBelgium
| | - Holger Gerhardt
- Max Delbrück Center for Molecular Medicine in the Helmholtz AssociationBerlinGermany
- DZHK (German Center for Cardiovascular Research), Partner Site BerlinBerlinGermany
- Charité ‐ Universitätsmedizin BerlinBerlinGermany
- Berlin Institute of HealthBerlinGermany
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Karschnia P, Smits M, Reifenberger G, Le Rhun E, Ellingson BM, Galldiks N, Kim MM, Huse JT, Schnell O, Harter PN, Mohme M, von Baumgarten L, Albert NL, Huang RY, Mehta MP, van den Bent M, Weller M, Vogelbaum MA, Chang SM, Berger MS, Tonn JC. A framework for standardised tissue sampling and processing during resection of diffuse intracranial glioma: joint recommendations from four RANO groups. Lancet Oncol 2023; 24:e438-e450. [PMID: 37922934 PMCID: PMC10849105 DOI: 10.1016/s1470-2045(23)00453-9] [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: 07/16/2023] [Revised: 08/23/2023] [Accepted: 09/07/2023] [Indexed: 11/07/2023]
Abstract
Surgical resection represents the standard of care for people with newly diagnosed diffuse gliomas, and the neuropathological and molecular profile of the resected tissue guides clinical management and forms the basis for research. The Response Assessment in Neuro-Oncology (RANO) consortium is an international, multidisciplinary effort that aims to standardise research practice in neuro-oncology. These recommendations represent a multidisciplinary consensus from the four RANO groups: RANO resect, RANO recurrent glioblastoma, RANO radiotherapy, and RANO/PET for a standardised workflow to achieve a representative tumour evaluation in a disease characterised by intratumoural heterogeneity, including recommendations on which tumour regions should be surgically sampled, how to define those regions on the basis of preoperative imaging, and the optimal sample volume. Practical recommendations for tissue sampling are given for people with low-grade and high-grade gliomas, as well as for people with newly diagnosed and recurrent disease. Sampling of liquid biopsies is also addressed. A standardised workflow for subsequent handling of the resected tissue is proposed to avoid information loss due to decreasing tissue quality or insufficient clinical information. The recommendations offer a framework for prospective biobanking studies.
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Affiliation(s)
- Philipp Karschnia
- Department of Neurosurgery, Ludwig-Maximilians-University of Munich, Munich, Germany; German Cancer Consortium, Partner Site Munich, Munich, Germany
| | - Marion Smits
- Department of Neuroradiology and Nuclear Medicine, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Guido Reifenberger
- Institute of Neuropathology, Heinrich Heine University Medical Faculty and University Hospital Düsseldorf, Düsseldorf, Germany
| | - Emilie Le Rhun
- Department of Neurosurgery, University Hospital of Zurich and University of Zurich, Zurich, Switzerland; Department of Neurology, University Hospital of Zurich and University of Zurich, Zurich, Switzerland
| | - Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory, Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Norbert Galldiks
- Department of Neurology, Faculty of Medicine, University of Cologne and University Hospital Cologne, Cologne, Germany; Research Center Juelich, Institute of Neuroscience and Medicine, Juelich, Germany
| | - Michelle M Kim
- Department of Radiation Oncology, University of Michigan Hospital, Ann Arbor, MI, USA
| | - Jason T Huse
- Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Oliver Schnell
- Department of Neurosurgery, University of Freiburg, Freiburg, Germany
| | - Patrick N Harter
- German Cancer Consortium, Partner Site Munich, Munich, Germany; Center for Neuropathology and Prion Research, Faculty of Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Malte Mohme
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Louisa von Baumgarten
- Department of Neurosurgery, Ludwig-Maximilians-University of Munich, Munich, Germany; German Cancer Consortium, Partner Site Munich, Munich, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Raymond Y Huang
- Division of Neuroradiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Minesh P Mehta
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA
| | - Martin van den Bent
- Department of Neurology, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Michael Weller
- Department of Neurology, University Hospital of Zurich and University of Zurich, Zurich, Switzerland
| | | | - Susan M Chang
- Department of Neurosurgery and Division of Neuro-Oncology, University of California, San Francisco, CA, USA
| | - Mitchel S Berger
- Department of Neurosurgery and Division of Neuro-Oncology, University of California, San Francisco, CA, USA
| | - Joerg-Christian Tonn
- Department of Neurosurgery, Ludwig-Maximilians-University of Munich, Munich, Germany; German Cancer Consortium, Partner Site Munich, Munich, Germany.
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Zarodniuk M, Steele A, Lu X, Li J, Datta M. CNS tumor stroma transcriptomics identify perivascular fibroblasts as predictors of immunotherapy resistance in glioblastoma patients. NPJ Genom Med 2023; 8:35. [PMID: 37884531 PMCID: PMC10603041 DOI: 10.1038/s41525-023-00381-w] [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: 07/05/2023] [Accepted: 10/10/2023] [Indexed: 10/28/2023] Open
Abstract
Excessive deposition of extracellular matrix (ECM) is a hallmark of solid tumors; however, it remains poorly understood which cellular and molecular components contribute to the formation of ECM stroma in central nervous system (CNS) tumors. Here, we undertake a pan-CNS analysis of retrospective gene expression datasets to characterize inter- and intra-tumoral heterogeneity of ECM remodeling signatures in both adult and pediatric CNS disease. We find that CNS lesions - glioblastoma in particular - can be divided into two ECM-based subtypes (ECMhi and ECMlo) that are influenced by the presence of perivascular stromal cells resembling cancer-associated fibroblasts (CAFs). Ligand-receptor network analysis predicts that perivascular fibroblasts activate signaling pathways responsible for recruitment of tumor-associated macrophages and promotion of cancer stemness. Our analysis reveals that perivascular fibroblasts are correlated with unfavorable response to immune checkpoint blockade in glioblastoma and poor patient survival across a subset of CNS tumors. We provide insights into new stroma-driven mechanisms underlying immune evasion and immunotherapy resistance in CNS tumors like glioblastoma, and discuss how targeting these perivascular fibroblasts may prove an effective approach to improving treatment response and patient survival in a variety of CNS tumors.
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Affiliation(s)
- Maksym Zarodniuk
- Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN, USA
| | - Alexander Steele
- Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA
| | - Xin Lu
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
| | - Jun Li
- Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN, USA
| | - Meenal Datta
- Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN, USA.
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38
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Li Z, Wang B, Liang H, Li Y, Zhang Z, Han L. A three-stage eccDNA based molecular profiling significantly improves the identification, prognosis assessment and recurrence prediction accuracy in patients with glioma. Cancer Lett 2023; 574:216369. [PMID: 37640198 DOI: 10.1016/j.canlet.2023.216369] [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: 06/29/2023] [Revised: 08/15/2023] [Accepted: 08/24/2023] [Indexed: 08/31/2023]
Abstract
Glioblastoma (GBM) progression is influenced by intratumoral heterogeneity. Emerging evidence has emphasized the pivotal role of extrachromosomal circular DNA (eccDNA) in accelerating tumor heterogeneity, particularly in GBM. However, the eccDNA landscape of GBM has not yet been elucidated. In this study, we first identified the eccDNA profiles in GBM and adjacent tissues using circle- and RNA-sequencing data from the same samples. A three-stage model was established based on eccDNA-carried genes that exhibited consistent upregulation and downregulation trends at the mRNA level. Combinations of machine learning algorithms and stacked ensemble models were used to improve the performance and robustness of the three-stage model. In stage 1, a total of 113 combinations of machine learning algorithms were constructed and validated in multiple external cohorts to accurately distinguish between low-grade glioma (LGG) and GBM in patients with glioma. The model with the highest area under the curve (AUC) across all cohorts was selected for interpretability analysis. In stage 2, a total of 101 combinations of machine learning algorithms were established and validated for prognostic prediction in patients with glioma. This prognostic model performed well in multiple glioma cohorts. Recurrent GBM is invariably associated with aggressive and refractory disease. Therefore, accurate prediction of recurrence risk is crucial for developing individualized treatment strategies, monitoring patient status, and improving clinical management. In stage 3, a large-scale GBM cohort (including primary and recurrent GBM samples) was used to fit the GBM recurrence prediction model. Multiple machine learning and stacked ensemble models were fitted to select the model with the best performance. Finally, a web tool was developed to facilitate the clinical application of the three-stage model.
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Affiliation(s)
- Zesheng Li
- Tianjin Neurological Institute, Key Laboratory of Post-Neuro Injury, Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Bo Wang
- Tianjin Neurological Institute, Key Laboratory of Post-Neuro Injury, Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Hao Liang
- Tianjin Neurological Institute, Key Laboratory of Post-Neuro Injury, Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Ying Li
- Tianjin Neurological Institute, Key Laboratory of Post-Neuro Injury, Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Zhenyu Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 480082, China.
| | - Lei Han
- Tianjin Neurological Institute, Key Laboratory of Post-Neuro Injury, Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City, Tianjin Medical University General Hospital, Tianjin, 300052, China.
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Weidner L, Lorenz J, Quach S, Braun FK, Rothhammer-Hampl T, Ammer LM, Vollmann-Zwerenz A, Bartos LM, Dekorsy FJ, Holzgreve A, Kirchleitner SV, Thon N, Greve T, Ruf V, Herms J, Bader S, Milenkovic VM, von Baumgarten L, Menevse AN, Hussein A, Sax J, Wetzel CH, Rupprecht R, Proescholdt M, Schmidt NO, Beckhove P, Hau P, Tonn JC, Bartenstein P, Brendel M, Albert NL, Riemenschneider MJ. Translocator protein (18kDA) (TSPO) marks mesenchymal glioblastoma cell populations characterized by elevated numbers of tumor-associated macrophages. Acta Neuropathol Commun 2023; 11:147. [PMID: 37697350 PMCID: PMC10496331 DOI: 10.1186/s40478-023-01651-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 08/31/2023] [Indexed: 09/13/2023] Open
Abstract
TSPO is a promising novel tracer target for positron-emission tomography (PET) imaging of brain tumors. However, due to the heterogeneity of cell populations that contribute to the TSPO-PET signal, imaging interpretation may be challenging. We therefore evaluated TSPO enrichment/expression in connection with its underlying histopathological and molecular features in gliomas. We analyzed TSPO expression and its regulatory mechanisms in large in silico datasets and by performing direct bisulfite sequencing of the TSPO promotor. In glioblastoma tissue samples of our TSPO-PET imaging study cohort, we dissected the association of TSPO tracer enrichment and protein labeling with the expression of cell lineage markers by immunohistochemistry and fluorescence multiplex stains. Furthermore, we identified relevant TSPO-associated signaling pathways by RNA sequencing.We found that TSPO expression is associated with prognostically unfavorable glioma phenotypes and that TSPO promotor hypermethylation is linked to IDH mutation. Careful histological analysis revealed that TSPO immunohistochemistry correlates with the TSPO-PET signal and that TSPO is expressed by diverse cell populations. While tumor core areas are the major contributor to the overall TSPO signal, TSPO signals in the tumor rim are mainly driven by CD68-positive microglia/macrophages. Molecularly, high TSPO expression marks prognostically unfavorable glioblastoma cell subpopulations characterized by an enrichment of mesenchymal gene sets and higher amounts of tumor-associated macrophages.In conclusion, our study improves the understanding of TSPO as an imaging marker in gliomas by unveiling IDH-dependent differences in TSPO expression/regulation, regional heterogeneity of the TSPO PET signal and functional implications of TSPO in terms of tumor immune cell interactions.
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Affiliation(s)
- Lorraine Weidner
- Department of Neuropathology, Regensburg University Hospital, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Julia Lorenz
- Department of Neuropathology, Regensburg University Hospital, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
- Wilhelm Sander Neuro-Oncology Unit, Regensburg University Hospital, Regensburg, Germany
| | - Stefanie Quach
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Frank K Braun
- Department of Neuropathology, Regensburg University Hospital, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Tanja Rothhammer-Hampl
- Department of Neuropathology, Regensburg University Hospital, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
- Wilhelm Sander Neuro-Oncology Unit, Regensburg University Hospital, Regensburg, Germany
| | - Laura-Marie Ammer
- Department of Neurology, Regensburg University Hospital, Regensburg, Germany
| | | | - Laura M Bartos
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Franziska J Dekorsy
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Adrien Holzgreve
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | | | - Niklas Thon
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Tobias Greve
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Viktoria Ruf
- Center for Neuropathology and Prion Research, LMU Munich, Munich, Germany
| | - Jochen Herms
- Center for Neuropathology and Prion Research, LMU Munich, Munich, Germany
| | - Stefanie Bader
- Department of Psychiatry and Psychotherapy, University Regensburg, Regensburg, Germany
| | - Vladimir M Milenkovic
- Department of Psychiatry and Psychotherapy, University Regensburg, Regensburg, Germany
| | - Louisa von Baumgarten
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Ayse N Menevse
- Division of Interventional Immunology, Leibniz Institute for Immunotherapy, Regensburg, Germany
| | - Abir Hussein
- Division of Interventional Immunology, Leibniz Institute for Immunotherapy, Regensburg, Germany
| | - Julian Sax
- Division of Interventional Immunology, Leibniz Institute for Immunotherapy, Regensburg, Germany
| | - Christian H Wetzel
- Department of Psychiatry and Psychotherapy, University Regensburg, Regensburg, Germany
| | - Rainer Rupprecht
- Department of Psychiatry and Psychotherapy, University Regensburg, Regensburg, Germany
| | - Martin Proescholdt
- Wilhelm Sander Neuro-Oncology Unit, Regensburg University Hospital, Regensburg, Germany
- Department of Neurosurgery, University Hospital Regensburg, 93053, Regensburg, Germany
| | - Nils O Schmidt
- Wilhelm Sander Neuro-Oncology Unit, Regensburg University Hospital, Regensburg, Germany
- Department of Neurosurgery, University Hospital Regensburg, 93053, Regensburg, Germany
| | - Philipp Beckhove
- Division of Interventional Immunology, Leibniz Institute for Immunotherapy, Regensburg, Germany
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany
| | - Peter Hau
- Wilhelm Sander Neuro-Oncology Unit, Regensburg University Hospital, Regensburg, Germany
- Department of Neurology, Regensburg University Hospital, Regensburg, Germany
| | - Joerg-Christian Tonn
- Department of Neurosurgery, University Hospital of Munich, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE) and Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE) and Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE) and Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE) and Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Markus J Riemenschneider
- Department of Neuropathology, Regensburg University Hospital, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
- Wilhelm Sander Neuro-Oncology Unit, Regensburg University Hospital, Regensburg, Germany.
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40
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Zhang L, Jiang Y, Zhang G, Wei S. The diversity and dynamics of tumor-associated macrophages in recurrent glioblastoma. Front Immunol 2023; 14:1238233. [PMID: 37731483 PMCID: PMC10507272 DOI: 10.3389/fimmu.2023.1238233] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Accepted: 08/21/2023] [Indexed: 09/22/2023] Open
Abstract
Despite tremendous efforts to exploit effective therapeutic strategies, most glioblastoma (GBM) inevitably relapse and become resistant to therapies, including radiotherapy and immunotherapy. The tumor microenvironment (TME) of recurrent GBM (rGBM) is highly immunosuppressive, dominated by tumor-associated macrophages (TAMs). TAMs consist of tissue-resident microglia and monocyte-derived macrophages (MDMs), which are essential for favoring tumor growth, invasion, angiogenesis, immune suppression, and therapeutic resistance; however, restricted by the absence of potent methods, the heterogeneity and plasticity of TAMs in rGBM remain incompletely investigated. Recent application of single-cell technologies, such as single-cell RNA-sequencing has enabled us to decipher the unforeseen diversity and dynamics of TAMs and to identify new subsets of TAMs which regulate anti-tumor immunity. Here, we first review hallmarks of the TME, progress and challenges of immunotherapy, and the biology of TAMs in the context of rGBM, including their origins, categories, and functions. Next, from a single-cell perspective, we highlight recent findings regarding the distinctions between tissue-resident microglia and MDMs, the identification and characterization of specific TAM subsets, and the dynamic alterations of TAMs during tumor progression and treatment. Last, we briefly discuss the potential of TAM-targeted strategies for combination immunotherapy in rGBM. We anticipate the comprehensive understanding of the diversity and dynamics of TAMs in rGBM will shed light on further improvement of immunotherapeutic efficacy in rGBM.
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Affiliation(s)
- Lingyun Zhang
- Institute of Thoracic Oncology and Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Yu Jiang
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Gao Zhang
- Faculty of Dentistry, The University of Hong Kong, Sai Ying Pun, Hong Kong, Hong Kong SAR, China
| | - Shiyou Wei
- Institute of Thoracic Oncology and Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China
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41
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De Bacco F, Orzan F, Crisafulli G, Prelli M, Isella C, Casanova E, Albano R, Reato G, Erriquez J, D'Ambrosio A, Panero M, Dall'Aglio C, Casorzo L, Cominelli M, Pagani F, Melcarne A, Zeppa P, Altieri R, Morra I, Cassoni P, Garbossa D, Cassisa A, Bartolini A, Pellegatta S, Comoglio PM, Finocchiaro G, Poliani PL, Boccaccio C. Coexisting cancer stem cells with heterogeneous gene amplifications, transcriptional profiles, and malignancy are isolated from single glioblastomas. Cell Rep 2023; 42:112816. [PMID: 37505981 DOI: 10.1016/j.celrep.2023.112816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 04/05/2023] [Accepted: 06/30/2023] [Indexed: 07/30/2023] Open
Abstract
Glioblastoma (GBM) is known as an intractable, highly heterogeneous tumor encompassing multiple subclones, each supported by a distinct glioblastoma stem cell (GSC). The contribution of GSC genetic and transcriptional heterogeneity to tumor subclonal properties is debated. In this study, we describe the systematic derivation, propagation, and characterization of multiple distinct GSCs from single, treatment-naive GBMs (GSC families). The tumorigenic potential of each GSC better correlates with its transcriptional profile than its genetic make-up, with classical GSCs being inherently more aggressive and mesenchymal more dependent on exogenous growth factors across multiple GBMs. These GSCs can segregate and recapitulate different histopathological aspects of the same GBM, as shown in a paradigmatic tumor with two histopathologically distinct components, including a conventional GBM and a more aggressive primitive neuronal component. This study provides a resource for investigating how GSCs with distinct genetic and/or phenotypic features contribute to individual GBM heterogeneity and malignant escalation.
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Affiliation(s)
- Francesca De Bacco
- Laboratory of Cancer Stem Cell Research, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy; Department of Oncology, University of Turin, 10060 Candiolo, Italy
| | - Francesca Orzan
- Laboratory of Cancer Stem Cell Research, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | | | - Marta Prelli
- Laboratory of Cancer Stem Cell Research, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy; Department of Oncology, University of Turin, 10060 Candiolo, Italy
| | - Claudio Isella
- Department of Oncology, University of Turin, 10060 Candiolo, Italy; Laboratory of Oncogenomics, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Elena Casanova
- Laboratory of Cancer Stem Cell Research, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Raffaella Albano
- Core Facilities, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Gigliola Reato
- Laboratory of Cancer Stem Cell Research, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy; Department of Oncology, University of Turin, 10060 Candiolo, Italy
| | - Jessica Erriquez
- Core Facilities, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Antonio D'Ambrosio
- Laboratory of Cancer Stem Cell Research, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Mara Panero
- Unit of Pathology, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Carmine Dall'Aglio
- Unit of Pathology, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Laura Casorzo
- Unit of Pathology, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Manuela Cominelli
- Pathology Unit, Department of Molecular and Translational Medicine, University of Brescia, 25123 Brescia, Italy
| | - Francesca Pagani
- Pathology Unit, Department of Molecular and Translational Medicine, University of Brescia, 25123 Brescia, Italy
| | - Antonio Melcarne
- Neurosurgery Unit, Città della Salute e della Scienza University Hospital, 10126 Turin, Italy
| | - Pietro Zeppa
- Neurosurgery Unit, Città della Salute e della Scienza University Hospital, 10126 Turin, Italy; Department of Neurosciences, University of Turin, 10126 Turin, Italy
| | - Roberto Altieri
- Department of Neurosciences, University of Turin, 10126 Turin, Italy
| | - Isabella Morra
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | - Paola Cassoni
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | - Diego Garbossa
- Neurosurgery Unit, Città della Salute e della Scienza University Hospital, 10126 Turin, Italy; Department of Neurosciences, University of Turin, 10126 Turin, Italy
| | - Anna Cassisa
- Laboratory of Oncogenomics, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Alice Bartolini
- Core Facilities, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Serena Pellegatta
- Unit of Immunotherapy of Brain Tumors, Fondazione IRCCS Istituto Neurologico C. Besta, 20133 Milan, Italy
| | - Paolo M Comoglio
- IFOM ETS - The AIRC Institute of Molecular Oncology, 20139 Milan, Italy
| | | | - Pietro L Poliani
- Pathology Unit, Department of Molecular and Translational Medicine, University of Brescia, 25123 Brescia, Italy
| | - Carla Boccaccio
- Laboratory of Cancer Stem Cell Research, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy; Department of Oncology, University of Turin, 10060 Candiolo, Italy.
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42
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García-Montaño LA, Licón-Muñoz Y, Martinez FJ, Keddari YR, Ziemke MK, Chohan MO, Piccirillo SG. Dissecting Intra-tumor Heterogeneity in the Glioblastoma Microenvironment Using Fluorescence-Guided Multiple Sampling. Mol Cancer Res 2023; 21:755-767. [PMID: 37255362 PMCID: PMC10390891 DOI: 10.1158/1541-7786.mcr-23-0048] [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: 01/23/2023] [Revised: 03/25/2023] [Accepted: 05/05/2023] [Indexed: 05/10/2023]
Abstract
The treatment of the most aggressive primary brain tumor in adults, glioblastoma (GBM), is challenging due to its heterogeneous nature, invasive potential, and poor response to chemo- and radiotherapy. As a result, GBM inevitably recurs and only a few patients survive 5 years post-diagnosis. GBM is characterized by extensive phenotypic and genetic heterogeneity, creating a diversified genetic landscape and a network of biological interactions between subclones, ultimately promoting tumor growth and therapeutic resistance. This includes spatial and temporal changes in the tumor microenvironment, which influence cellular and molecular programs in GBM and therapeutic responses. However, dissecting phenotypic and genetic heterogeneity at spatial and temporal levels is extremely challenging, and the dynamics of the GBM microenvironment cannot be captured by analysis of a single tumor sample. In this review, we discuss the current research on GBM heterogeneity, in particular, the utility and potential applications of fluorescence-guided multiple sampling to dissect phenotypic and genetic intra-tumor heterogeneity in the GBM microenvironment, identify tumor and non-tumor cell interactions and novel therapeutic targets in areas that are key for tumor growth and recurrence, and improve the molecular classification of GBM.
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Affiliation(s)
- Leopoldo A. García-Montaño
- The Brain Tumor Translational Laboratory, Department of Cell Biology and Physiology, University of New Mexico Health Sciences Center, Albuquerque, New Mexico
- University of New Mexico Comprehensive Cancer Center, Albuquerque, New Mexico
| | - Yamhilette Licón-Muñoz
- The Brain Tumor Translational Laboratory, Department of Cell Biology and Physiology, University of New Mexico Health Sciences Center, Albuquerque, New Mexico
- University of New Mexico Comprehensive Cancer Center, Albuquerque, New Mexico
| | - Frank J. Martinez
- The Brain Tumor Translational Laboratory, Department of Cell Biology and Physiology, University of New Mexico Health Sciences Center, Albuquerque, New Mexico
- University of New Mexico Comprehensive Cancer Center, Albuquerque, New Mexico
| | - Yasine R. Keddari
- The Brain Tumor Translational Laboratory, Department of Cell Biology and Physiology, University of New Mexico Health Sciences Center, Albuquerque, New Mexico
- University of California, Merced, California
| | - Michael K. Ziemke
- Department of Neurosurgery, University of Mississippi Medical Center, Jackson, Mississippi
| | - Muhammad O. Chohan
- Department of Neurosurgery, University of Mississippi Medical Center, Jackson, Mississippi
| | - Sara G.M. Piccirillo
- The Brain Tumor Translational Laboratory, Department of Cell Biology and Physiology, University of New Mexico Health Sciences Center, Albuquerque, New Mexico
- University of New Mexico Comprehensive Cancer Center, Albuquerque, New Mexico
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43
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Wang X, Sun Q, Wang W, Liu B, Gu Y, Chen L. Decoding key cell sub-populations and molecular alterations in glioblastoma at recurrence by single-cell analysis. Acta Neuropathol Commun 2023; 11:125. [PMID: 37525259 PMCID: PMC10391841 DOI: 10.1186/s40478-023-01613-x] [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: 04/27/2023] [Accepted: 07/01/2023] [Indexed: 08/02/2023] Open
Abstract
Glioblastoma (GBM) is the most frequent malignant brain tumor, the relapse of which is unavoidable following standard treatment. However, the effective treatment for recurrent GBM is lacking, necessitating the understanding of key mechanisms driving tumor recurrence and the identification of new targets for intervention. Here, we integrated single-cell RNA-sequencing data spanning 36 patient-matched primary and recurrent GBM (pGBM and rGBM) specimens, with 6 longitudinal GBM spatial transcriptomics to explore molecular alterations at recurrence, with each cell type characterized in parallel. Genes involved in extracellular matrix (ECM) organization are preferentially enriched in rGBM cells, and MAFK is highlighted as a potential regulator. Notably, we uncover a unique subpopulation of GBM cells that is much less detected in pGBM and highly expresses ECM and mesenchyme related genes, suggesting it may contribute to the molecular transition of rGBM. Further regulatory network analysis reveals that transcription factors, such as NFATC4 and activator protein 1 members, may function as hub regulators. All non-tumor cells alter their specific sets of genes as well and certain subgroups of myeloid cells appear to be physically associated with the mesenchyme-like GBM subpopulation. Altogether, our study provides new insights into the molecular understanding of GBM relapse and candidate targets for rGBM treatment.
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Affiliation(s)
- Xin Wang
- RNA Institute, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, 430072, China
- BGI Research, Hangzhou, 310030 China
| | - Qian Sun
- RNA Institute, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, 430072, China
| | - Weiwen Wang
- China National GeneBank, BGI Research, Shenzhen, 518120 China
| | - Baohui Liu
- RNA Institute, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, 430072, China
| | - Ying Gu
- BGI Research, Hangzhou, 310030 China
- BGI Research, Shenzhen, 518083 China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI Research, Shenzhen, 518083 China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Liang Chen
- RNA Institute, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, 430072, China
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Vadla R, Miki S, Taylor B, Kawauchi D, Jones BM, Nathwani N, Pham P, Tsang J, Nathanson DA, Furnari FB. Glioblastoma Mesenchymal Transition and Invasion are Dependent on a NF-κB/BRD2 Chromatin Complex. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.03.546613. [PMID: 37461511 PMCID: PMC10349949 DOI: 10.1101/2023.07.03.546613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Glioblastoma (GBM) represents the most aggressive subtype of glioma, noted for its profound invasiveness and molecular heterogeneity. The mesenchymal (MES) transcriptomic subtype is frequently associated with therapy resistance, rapid recurrence, and increased tumor-associated macrophages. Notably, activation of the NF-κB pathway and alterations in the PTEN gene are both associated with this malignant transition. Although PTEN aberrations have been shown to be associated with enhanced NF-κB signaling, the relationships between PTEN, NF-κB and MES transition are poorly understood in GBM. Here, we show that PTEN regulates the chromatin binding of bromodomain and extraterminal (BET) family proteins, BRD2 and BRD4, mediated by p65/RelA localization to the chromatin. By utilizing patient-derived glioblastoma stem cells and CRISPR gene editing of the RELA gene, we demonstrate a crucial role for RelA lysine 310 acetylation in recruiting BET proteins to chromatin for MES gene expression and GBM cell invasion upon PTEN loss. Remarkably, we found that BRD2 is dependent on chromatin associated acetylated RelA for its recruitment to MES gene promoters and their expression. Furthermore, loss of BRD2 results in the loss of MES signature, accompanied by an enrichment of proneural signature and enhanced therapy responsiveness. Finally, we demonstrate that disrupting the NFκB/BRD2 interaction with a brain penetrant BET-BD2 inhibitor reduces mesenchymal gene expression, GBM invasion, and therapy resistance in GBM models. This study uncovers the role of hitherto unexplored PTEN-NF-κB-BRD2 pathway in promoting MES transition and suggests inhibiting this complex with BET-BD2 specific inhibitors as a therapeutic approach to target the MES phenotype in GBM.
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Affiliation(s)
- Raghavendra Vadla
- Division of Regenerative Medicine, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Shunichiro Miki
- Division of Regenerative Medicine, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Brett Taylor
- Division of Regenerative Medicine, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Daisuke Kawauchi
- Division of Regenerative Medicine, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Brandon M Jones
- Division of Regenerative Medicine, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Nidhi Nathwani
- Division of Regenerative Medicine, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Philip Pham
- Division of Regenerative Medicine, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Jonathan Tsang
- Departments of Molecular and Medical Pharmacology, University of California, Los Angeles, California 90095, United States
| | - David A Nathanson
- Departments of Molecular and Medical Pharmacology, University of California, Los Angeles, California 90095, United States
| | - Frank B Furnari
- Division of Regenerative Medicine, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
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Vishnoi M, Dereli Z, Yin Z, Kong EK, Kinali M, Thapa K, Babur O, Yun K, Abdelfattah N, Li X, Bozorgui B, Rostomily RC, Korkut A. A prognostic matrix code defines functional glioblastoma phenotypes and niches. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.06.543903. [PMID: 37333072 PMCID: PMC10274725 DOI: 10.1101/2023.06.06.543903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Interactions among tumor, immune and vascular niches play major roles in driving glioblastoma (GBM) malignancy and treatment responses. The composition, heterogeneity, and localization of extracellular core matrix proteins (CMPs) that mediate such interactions, however, are not well understood. Here, we characterize functional and clinical relevance of genes encoding CMPs in GBM at bulk, single cell, and spatial anatomical resolution. We identify a "matrix code" for genes encoding CMPs whose expression levels categorize GBM tumors into matrisome-high and matrisome-low groups that correlate with worse and better survival, respectively, of patients. The matrisome enrichment is associated with specific driver oncogenic alterations, mesenchymal state, infiltration of pro-tumor immune cells and immune checkpoint gene expression. Anatomical and single cell transcriptome analyses indicate that matrisome gene expression is enriched in vascular and leading edge/infiltrative anatomic structures that are known to harbor glioma stem cells driving GBM progression. Finally, we identified a 17-gene matrisome signature that retains and further refines the prognostic value of genes encoding CMPs and, importantly, potentially predicts responses to PD1 blockade in clinical trials for GBM. The matrisome gene expression profiles may provide biomarkers of functionally relevant GBM niches that contribute to mesenchymal-immune cross talk and patient stratification to optimize treatment responses.
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Affiliation(s)
- Monika Vishnoi
- Department of Neurosurgery, Houston Methodist Research Institute, Houston, TX, 77030 USA
- Department of Neurosurgery, University of Washington School of Medicine, Seattle WA, 98195
| | - Zeynep Dereli
- Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Zheng Yin
- Department of Systems Medicine and Bioengineering, Houston Methodist Neal Cancer Center, Houston, TX, 77030 USA
| | - Elisabeth K. Kong
- Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Statistics, Rice University, Houston, TX, 77030, USA
| | - Meric Kinali
- Computer Science, College of Science and Mathematics, University of Massachusetts Boston, Boston, MA, 02125
| | - Kisan Thapa
- Computer Science, College of Science and Mathematics, University of Massachusetts Boston, Boston, MA, 02125
| | - Ozgun Babur
- Computer Science, College of Science and Mathematics, University of Massachusetts Boston, Boston, MA, 02125
| | - Kyuson Yun
- Department of Neurology, Houston Methodist Research Institute, Houston, TX, 77030 USA
- Department of Neurology, Weill Cornell Medical School, New York NY, 10065
| | - Nourhan Abdelfattah
- Department of Neurology, Houston Methodist Research Institute, Houston, TX, 77030 USA
- Department of Neurology, Weill Cornell Medical School, New York NY, 10065
| | - Xubin Li
- Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Behnaz Bozorgui
- Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Robert C. Rostomily
- Department of Neurosurgery, Houston Methodist Research Institute, Houston, TX, 77030 USA
- Department of Neurosurgery, University of Washington School of Medicine, Seattle WA, 98195
- Department of Neurosurgery, Weill Cornell Medical School, New York NY, 10065
| | - Anil Korkut
- Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX 77030, USA
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Lim J, Kang I, La J, Ku KB, Kang BH, Kim Y, Park WH, Lee HK. Harnessing type I interferon-mediated immunity to target malignant brain tumors. Front Immunol 2023; 14:1203929. [PMID: 37304294 PMCID: PMC10247981 DOI: 10.3389/fimmu.2023.1203929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 05/15/2023] [Indexed: 06/13/2023] Open
Abstract
Type I interferons have long been appreciated as a cytokine family that regulates antiviral immunity. Recently, their role in eliciting antitumor immune responses has gained increasing attention. Within the immunosuppressive tumor microenvironment (TME), interferons stimulate tumor-infiltrating lymphocytes to promote immune clearance and essentially reshape a "cold" TME into an immune-activating "hot" TME. In this review, we focus on gliomas, with an emphasis on malignant glioblastoma, as these brain tumors possess a highly invasive and heterogenous brain TME. We address how type I interferons regulate antitumor immune responses against malignant gliomas and reshape the overall immune landscape of the brain TME. Furthermore, we discuss how these findings can translate into future immunotherapies targeting brain tumors in general.
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Affiliation(s)
- Juhee Lim
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - In Kang
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Jeongwoo La
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Keun Bon Ku
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
- Department of Convergent Research of Emerging Virus Infection, Korea Research Institute of Chemical Technology, Daejeon, Republic of Korea
| | - Byeong Hoon Kang
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Yumin Kim
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Won Hyung Park
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Heung Kyu Lee
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
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