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Indira Chandran V, Gopala S, Venkat EH, Kjolby M, Nejsum P. Extracellular vesicles in glioblastoma: a challenge and an opportunity. NPJ Precis Oncol 2024; 8:103. [PMID: 38760427 PMCID: PMC11101656 DOI: 10.1038/s41698-024-00600-2] [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: 12/08/2023] [Accepted: 05/03/2024] [Indexed: 05/19/2024] Open
Abstract
Glioblastoma is a highly heterogeneous tumor whose pathophysiological complexities dictate both the diagnosis of disease severity as well as response to therapy. Conventional diagnostic tools and standard treatment regimens have only managed to achieve limited success in the management of patients suspected of glioblastoma. Extracellular vesicles are an emerging liquid biopsy tool that has shown great promise in resolving the limitations presented by the heterogeneous nature of glioblastoma. Here we discuss the contrasting yet interdependent dual role of extracellular vesicles as communication agents that contribute to the progression of glioblastoma by creating a heterogeneous microenvironment and as a liquid biopsy tool providing an opportunity to accurately identify the disease severity and progression.
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Affiliation(s)
- Vineesh Indira Chandran
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
- Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark.
| | - Srinivas Gopala
- Department of Biochemistry, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India
| | - Easwer Hariharan Venkat
- Department of Neurosurgery, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India
| | - Mads Kjolby
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Department of Clinical Pharmacology and Steno Diabetes Centre, Aarhus University Hospital, Aarhus, Denmark
| | - Peter Nejsum
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark
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2
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Hu LS, D'Angelo F, Weiskittel TM, Caruso FP, Fortin Ensign SP, Blomquist MR, Flick MJ, Wang L, Sereduk CP, Meng-Lin K, De Leon G, Nespodzany A, Urcuyo JC, Gonzales AC, Curtin L, Lewis EM, Singleton KW, Dondlinger T, Anil A, Semmineh NB, Noviello T, Patel RA, Wang P, Wang J, Eschbacher JM, Hawkins-Daarud A, Jackson PR, Grunfeld IS, Elrod C, Mazza GL, McGee SC, Paulson L, Clark-Swanson K, Lassiter-Morris Y, Smith KA, Nakaji P, Bendok BR, Zimmerman RS, Krishna C, Patra DP, Patel NP, Lyons M, Neal M, Donev K, Mrugala MM, Porter AB, Beeman SC, Jensen TR, Schmainda KM, Zhou Y, Baxter LC, Plaisier CL, Li J, Li H, Lasorella A, Quarles CC, Swanson KR, Ceccarelli M, Iavarone A, Tran NL. Integrated molecular and multiparametric MRI mapping of high-grade glioma identifies regional biologic signatures. Nat Commun 2023; 14:6066. [PMID: 37770427 PMCID: PMC10539500 DOI: 10.1038/s41467-023-41559-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 09/06/2023] [Indexed: 09/30/2023] Open
Abstract
Sampling restrictions have hindered the comprehensive study of invasive non-enhancing (NE) high-grade glioma (HGG) cell populations driving tumor progression. Here, we present an integrated multi-omic analysis of spatially matched molecular and multi-parametric magnetic resonance imaging (MRI) profiling across 313 multi-regional tumor biopsies, including 111 from the NE, across 68 HGG patients. Whole exome and RNA sequencing uncover unique genomic alterations to unresectable invasive NE tumor, including subclonal events, which inform genomic models predictive of geographic evolution. Infiltrative NE tumor is alternatively enriched with tumor cells exhibiting neuronal or glycolytic/plurimetabolic cellular states, two principal transcriptomic pathway-based glioma subtypes, which respectively demonstrate abundant private mutations or enrichment in immune cell signatures. These NE phenotypes are non-invasively identified through normalized K2 imaging signatures, which discern cell size heterogeneity on dynamic susceptibility contrast (DSC)-MRI. NE tumor populations predicted to display increased cellular proliferation by mean diffusivity (MD) MRI metrics are uniquely associated with EGFR amplification and CDKN2A homozygous deletion. The biophysical mapping of infiltrative HGG potentially enables the clinical recognition of tumor subpopulations with aggressive molecular signatures driving tumor progression, thereby informing precision medicine targeting.
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Affiliation(s)
- Leland S Hu
- Department of Radiology, Mayo Clinic Arizona, Phoenix, AZ, USA.
- Department of Cancer Biology, Mayo Clinic Arizona, Scottsdale, AZ, USA.
- Department of Neurological Surgery, Mayo Clinic Arizona, Scottsdale, AZ, USA.
| | - Fulvio D'Angelo
- Department of Neurological Surgery, Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, USA.
| | - Taylor M Weiskittel
- Mayo Clinic Alix School of Medicine Minnesota, Rochester, MN, USA
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Francesca P Caruso
- Department of Electrical Engineering and Information Technologies, University of Naples, "Federico II", I-80128, Naples, Italy
- BIOGEM Institute of Molecular Biology and Genetics, I-83031, Ariano Irpino, Italy
| | - Shannon P Fortin Ensign
- Department of Cancer Biology, Mayo Clinic Arizona, Scottsdale, AZ, USA
- Department of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ, USA
| | - Mylan R Blomquist
- Department of Cancer Biology, Mayo Clinic Arizona, Scottsdale, AZ, USA
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
- Mayo Clinic Alix School of Medicine Arizona, Scottsdale, AZ, USA
| | - Matthew J Flick
- Department of Radiology, Mayo Clinic Arizona, Phoenix, AZ, USA
- Department of Cancer Biology, Mayo Clinic Arizona, Scottsdale, AZ, USA
- Mayo Clinic Alix School of Medicine Arizona, Scottsdale, AZ, USA
| | - Lujia Wang
- H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Christopher P Sereduk
- Department of Cancer Biology, Mayo Clinic Arizona, Scottsdale, AZ, USA
- Department of Neurological Surgery, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Kevin Meng-Lin
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Gustavo De Leon
- Department of Neurological Surgery, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Ashley Nespodzany
- Department of Neuroimaging Research, Barrow Neurological Institute, Dignity Health, Phoenix, AZ, USA
| | - Javier C Urcuyo
- Department of Neurological Surgery, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Ashlyn C Gonzales
- Department of Neuroimaging Research, Barrow Neurological Institute, Dignity Health, Phoenix, AZ, USA
| | - Lee Curtin
- Department of Neurological Surgery, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Erika M Lewis
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Kyle W Singleton
- Department of Neurological Surgery, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | | | - Aliya Anil
- Department of Neuroimaging Research, Barrow Neurological Institute, Dignity Health, Phoenix, AZ, USA
| | - Natenael B Semmineh
- Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Teresa Noviello
- Department of Electrical Engineering and Information Technologies, University of Naples, "Federico II", I-80128, Naples, Italy
- BIOGEM Institute of Molecular Biology and Genetics, I-83031, Ariano Irpino, Italy
| | - Reyna A Patel
- Department of Radiology, Mayo Clinic Arizona, Phoenix, AZ, USA
| | - Panwen Wang
- Quantitative Health Sciences, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Junwen Wang
- Division of Applied Oral Sciences & Community Dental Care, The University of Hong Kong, Hong Kong SAR, China
| | - Jennifer M Eschbacher
- Department of Neuropathology, Barrow Neurological Institute, Dignity Health, Phoenix, AZ, USA
| | | | - Pamela R Jackson
- Department of Neurological Surgery, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Itamar S Grunfeld
- Department of Psychology, Hunter College, The City University of New York, New York, NY, USA
- Department of Psychology, The Graduate Center, The City University of New York, New York, NY, USA
| | | | - Gina L Mazza
- Quantitative Health Sciences, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Sam C McGee
- Department of Speech and Hearing Science, Arizona State University, Tempe, AZ, USA
| | - Lisa Paulson
- Department of Neurological Surgery, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | | | | | - Kris A Smith
- Department of Neurosurgery, Barrow Neurological Institute, Dignity Health, Phoenix, AZ, USA
| | - Peter Nakaji
- Department of Neurosurgery, Banner University Medical Center, University of Arizona, Phoenix, AZ, USA
| | - Bernard R Bendok
- Department of Neurological Surgery, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Richard S Zimmerman
- Department of Neurological Surgery, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Chandan Krishna
- Department of Neurological Surgery, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Devi P Patra
- Department of Neurological Surgery, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Naresh P Patel
- Department of Neurological Surgery, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Mark Lyons
- Department of Neurological Surgery, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Matthew Neal
- Department of Neurological Surgery, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Kliment Donev
- Department of Pathology, Mayo Clinic Arizona, Phoenix, AZ, USA
| | | | - Alyx B Porter
- Department of Neurology, Mayo Clinic Arizona, Phoenix, AZ, USA
| | - Scott C Beeman
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA
| | | | - Kathleen M Schmainda
- Departments of Biophysics and Radiology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Yuxiang Zhou
- Department of Radiology, Mayo Clinic Arizona, Phoenix, AZ, USA
| | - Leslie C Baxter
- Department of Radiology, Mayo Clinic Arizona, Phoenix, AZ, USA
- Departments of Psychiatry and Psychology, Mayo Clinic, AZ, USA
| | - Christopher L Plaisier
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Jing Li
- H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Hu Li
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Anna Lasorella
- Department of Biochemistry and Molecular Biology, Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - C Chad Quarles
- Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kristin R Swanson
- Department of Cancer Biology, Mayo Clinic Arizona, Scottsdale, AZ, USA
- Department of Neurological Surgery, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Michele Ceccarelli
- Department of Public Health Sciences, Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, USA.
| | - Antonio Iavarone
- Department of Neurological Surgery, Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, USA.
| | - Nhan L Tran
- Department of Cancer Biology, Mayo Clinic Arizona, Scottsdale, AZ, USA.
- Department of Neurological Surgery, Mayo Clinic Arizona, Scottsdale, AZ, USA.
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Alizadeh M, Broomand Lomer N, Azami M, Khalafi M, Shobeiri P, Arab Bafrani M, Sotoudeh H. Radiomics: The New Promise for Differentiating Progression, Recurrence, Pseudoprogression, and Radionecrosis in Glioma and Glioblastoma Multiforme. Cancers (Basel) 2023; 15:4429. [PMID: 37760399 PMCID: PMC10526457 DOI: 10.3390/cancers15184429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 08/29/2023] [Accepted: 08/31/2023] [Indexed: 09/29/2023] Open
Abstract
Glioma and glioblastoma multiform (GBM) remain among the most debilitating and life-threatening brain tumors. Despite advances in diagnosing approaches, patient follow-up after treatment (surgery and chemoradiation) is still challenging for differentiation between tumor progression/recurrence, pseudoprogression, and radionecrosis. Radiomics emerges as a promising tool in initial diagnosis, grading, and survival prediction in patients with glioma and can help differentiate these post-treatment scenarios. Preliminary published studies are promising about the role of radiomics in post-treatment glioma/GBM. However, this field faces significant challenges, including a lack of evidence-based solid data, scattering publication, heterogeneity of studies, and small sample sizes. The present review explores radiomics's capabilities in following patients with glioma/GBM status post-treatment and to differentiate tumor progression, recurrence, pseudoprogression, and radionecrosis.
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Affiliation(s)
- Mohammadreza Alizadeh
- Physiology Research Center, Iran University of Medical Sciences, Tehran 14496-14535, Iran;
| | - Nima Broomand Lomer
- Faculty of Medicine, Guilan University of Medical Sciences, Rasht 41937-13111, Iran;
| | - Mobin Azami
- Student Research Committee, Kurdistan University of Medical Sciences, Sanandaj 66186-34683, Iran;
| | - Mohammad Khalafi
- Radiology Department, Tabriz University of Medical Sciences, Tabriz 51656-65931, Iran;
| | - Parnian Shobeiri
- School of Medicine, Tehran University of Medical Sciences, Tehran 14167-53955, Iran; (P.S.); (M.A.B.)
| | - Melika Arab Bafrani
- School of Medicine, Tehran University of Medical Sciences, Tehran 14167-53955, Iran; (P.S.); (M.A.B.)
| | - Houman Sotoudeh
- Department of Radiology and Neurology, Heersink School of Medicine, University of Alabama at Birmingham (UAB), Birmingham, AL 35294, USA
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Ortiz Rivera J, Velez Crespo G, Inyushin M, Kucheryavykh Y, Kucheryavykh L. Pyk2/FAK Signaling Is Upregulated in Recurrent Glioblastoma Tumors in a C57BL/6/GL261 Glioma Implantation Model. Int J Mol Sci 2023; 24:13467. [PMID: 37686276 PMCID: PMC10487692 DOI: 10.3390/ijms241713467] [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: 07/11/2023] [Revised: 08/28/2023] [Accepted: 08/28/2023] [Indexed: 09/10/2023] Open
Abstract
The majority of glioblastomas (GBMs) recur shortly after tumor resection and recurrent tumors differ significantly from newly diagnosed GBMs, phenotypically and genetically. In this study, using a Gl261-C57Bl/6 mouse glioma implantation model, we identified significant upregulation of proline-rich tyrosine kinase Pyk2 and focal adhesion kinase (FAK) phosphorylation levels-pPyk2 (579/580) and pFAK (925)-without significant modifications in total Pyk2 and FAK protein expression in tumors regrown after surgical resection, compared with primary implanted tumors. Previously, we demonstrated that Pyk2 and FAK are involved in the regulation of tumor cell invasion and proliferation and are associated with reduced overall survival. We hypothesized that the use of inhibitors of Pyk2/FAK in the postsurgical period may reduce the growth of recurrent tumors. Using Western blot analysis and confocal immunofluorescence approaches, we demonstrated upregulation of Cyclin D1 and the Ki67 proliferation index in tumors regrown after resection, compared with primary implanted tumors. Treatment with Pyk2/FAK inhibitor PF-562271, administered through oral gavage at 50 mg/kg daily for two weeks beginning 2 days before tumor resection, reversed Pyk2/FAK signaling upregulation in recurrent tumors, reduced tumor volume, and increased animal survival. In conclusion, the use of Pyk2/FAK inhibitors can contribute to a delay in GBM tumor regrowth after surgical resection.
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Affiliation(s)
- Jescelica Ortiz Rivera
- Department of Biochemistry, School of Medicine, Universidad Central de Caribe, Bayamon, PR 00956, USA; (G.V.C.); (M.I.); (Y.K.); (L.K.)
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5
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Miftah H, Naji O, Ssi SA, Ghouzlani A, Lakhdar A, Badou A. NR2F6, a new immune checkpoint that acts as a potential biomarker of immunosuppression and contributes to poor clinical outcome in human glioma. Front Immunol 2023; 14:1139268. [PMID: 37575237 PMCID: PMC10419227 DOI: 10.3389/fimmu.2023.1139268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 07/06/2023] [Indexed: 08/15/2023] Open
Abstract
Intoroduction Nuclear receptor subfamily 2 group F member 6 (NR2F6) is a promising checkpoint target for cancer immunotherapy. However, there has been no investigation of NR2F6 in glioma. Our study systematically explored the clinical characteristics and biological functions of NR2F6 in gliomas. Methods We extracted RNA sequencing (RNA-seq) data of 663 glioma samples from The Cancer Genome Atlas (TCGA) as the training cohort and 325 samples from the Chinese Glioma Genome Atlas (CGGA) as the validation cohort. We also confirmed the NR2F6 gene expression feature in our own cohort of 60 glioma patients. R language and GraphPad Prism softwares were mainly used for statistical analysis and graphical work. Results We found that NR2F6 was significantly related to high tumor aggressiveness and poor outcomes for glioma patients. Functional enrichment analysis demonstrated that NR2F6 was associated with many biological processes that are related to glioma progression, such as angiogenesis, and with multiple immune-related functions. Moreover, NR2F6 was found to be significantly correlated with stromal and immune infiltration in gliomas. Subsequent analysis based on Gliomas single-cell sequencing datasets showed that NR2F6 was expressed in immune cells, tumor cells, and stromal cells. Mechanistically, results suggested that NR2F6 might act as a potential immunosuppression-mediated molecule in the glioma microenvironment through multiple ways, such as the recruitment of immunosuppressive cells, secretion of immunosuppressive cytokines, M2 polarization of macrophages, in addition to combining with other immune checkpoint inhibitors. Conclusion Our findings indicated that intracellular targeting of NR2F6 in both immune cells and tumor cells, as well as stromal cells, may represent a promising immunotherapeutic strategy for glioma. Stromal cells, may represent a promising immunotherapeutic strategy for glioma.
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Affiliation(s)
- Hayat Miftah
- Immuno-Genetics and Human Pathology Laboratory, Faculty of Medicine and Pharmacy, Hassan II University, Casablanca, Morocco
| | - Oumayma Naji
- Immuno-Genetics and Human Pathology Laboratory, Faculty of Medicine and Pharmacy, Hassan II University, Casablanca, Morocco
| | - Saadia Ait Ssi
- Immuno-Genetics and Human Pathology Laboratory, Faculty of Medicine and Pharmacy, Hassan II University, Casablanca, Morocco
| | - Amina Ghouzlani
- Immuno-Genetics and Human Pathology Laboratory, Faculty of Medicine and Pharmacy, Hassan II University, Casablanca, Morocco
| | - Abdelhakim Lakhdar
- Department of Neurosurgery, University Hospital Center (UHC) Ibn Rochd, Casablanca, Morocco
- Laboratory of Research on Neurologic, Neurosensorial Diseases and Handicap, Faculty of Medicine and Pharmacy, Hassan II University, Casablanca, Morocco
| | - Abdallah Badou
- Immuno-Genetics and Human Pathology Laboratory, Faculty of Medicine and Pharmacy, Hassan II University, Casablanca, Morocco
- Mohammed VI Center for Research and Innovation, Rabat, Morocco
- Mohammed VI University of Sciences and Health, Casablanca, Morocco
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Eisenbarth D, Wang YA. Glioblastoma heterogeneity at single cell resolution. Oncogene 2023; 42:2155-2165. [PMID: 37277603 PMCID: PMC10913075 DOI: 10.1038/s41388-023-02738-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 05/08/2023] [Accepted: 05/23/2023] [Indexed: 06/07/2023]
Abstract
Glioblastoma (GBM) is one of the deadliest types of cancer and highly refractory to chemoradiation and immunotherapy. One of the main reasons for this resistance to therapy lies within the heterogeneity of the tumor and its associated microenvironment. The vast diversity of cell states, composition of cells, and phenotypical characteristics makes it difficult to accurately classify GBM into distinct subtypes and find effective therapies. The advancement of sequencing technologies in recent years has further corroborated the heterogeneity of GBM at the single cell level. Recent studies have only begun to elucidate the different cell states present in GBM and how they correlate with sensitivity to therapy. Furthermore, it has become clear that GBM heterogeneity not only depends on intrinsic factors but also strongly differs between new and recurrent GBM, and treatment naïve and experienced patients. Understanding and connecting the complex cellular network that underlies GBM heterogeneity will be indispensable in finding new ways to tackle this deadly disease. Here, we present an overview of the multiple layers of GBM heterogeneity and discuss novel findings in the age of single cell technologies.
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Affiliation(s)
- David Eisenbarth
- The Brown Center for Immunotherapy, Department of Medicine, Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
| | - Y Alan Wang
- The Brown Center for Immunotherapy, Department of Medicine, Melvin and Bren Simon Comprehensive Cancer Center, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
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Liang W, Hu C, Zhu Q, Cheng X, Gao S, Liu Z, Wang H, Li P, Gao Y, Qian R. Exploring the relationship between abnormally high expression of NUP205 and the clinicopathological characteristics, immune microenvironment, and prognostic value of lower-grade glioma. Front Oncol 2023; 13:1007198. [PMID: 37284202 PMCID: PMC10240054 DOI: 10.3389/fonc.2023.1007198] [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: 08/02/2022] [Accepted: 03/29/2023] [Indexed: 06/08/2023] Open
Abstract
Nuclear pore complex (NPC) is a major transport pivot for nucleocytoplasmic molecule exchange. Nucleoporin 205 (NUP205)-a main component of NPC-plays a key regulatory role in tumor cell proliferation; however, few reports document its effect on the pathological progression of lower-grade glioma (LGG). Therefore, we conducted an integrated analysis using 906 samples from multiple public databases to explore the effects of NUP205 on the prognosis, clinicopathological characteristics, regulatory mechanism, and tumor immune microenvironment (TIME) formation in LGG. First, multiple methods consistently showed that the mRNA and protein expression levels of NUP205 were higher in LGG tumor tissue than in normal brain tissue. This increased expression was mainly noted in the higher WHO Grade, IDH-wild type, and 1p19q non-codeleted type. Second, various survival analysis methods showed that the highly expressed NUP205 was an independent risk indicator that led to reduced survival time of patients with LGG. Third, GSEA analysis showed that NUP205 regulated the pathological progress of LGG via the cell cycle, notch signaling pathway, and aminoacyl-tRNA biosynthesis. Ultimately, immune correlation analysis suggested that high NUP205 expression was positively correlated with the infiltration of multiple immune cells, particularly M2 macrophages, and was positively correlated with eight immune checkpoints, particularly PD-L1. Collectively, this study documented the pathogenicity of NUP205 in LGG for the first time, expanding our understanding of its molecular function. Furthermore, this study highlighted the potential value of NUP205 as a target of anti-LGG immunotherapy.
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Affiliation(s)
- Wenjia Liang
- People’s Hospital of Henan University, Henan Provincial People’s Hospital, Microbiome Laboratory, Zhengzhou, Henan, China
| | - Chenchen Hu
- Intensive Care Unit, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qingyun Zhu
- People’s Hospital of Henan University, Henan Provincial People’s Hospital, Microbiome Laboratory, Zhengzhou, Henan, China
| | - Xingbo Cheng
- Department of Surgery of Spine and Spinal Cord, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou, Henan, China
| | - Shanjun Gao
- Microbiome Laboratory, Henan Provincial People’s Hospital, Henan University People’s Hospital, Zhengzhou, China
| | - Zhendong Liu
- Department of Surgery of Spine and Spinal Cord, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou, Henan, China
| | - Hongbo Wang
- Department of Urology, Lanzhou University Second Hospital, Lanzhou, Gansu, China
| | - Pengxu Li
- Department of Surgery of Spine and Spinal Cord, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou, Henan, China
| | - Yanzheng Gao
- Department of Surgery of Spine and Spinal Cord, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou, Henan, China
| | - Rongjun Qian
- Department of Neurosurgery, Henan Provincial People’s Hospital, People’s Hospital of Henan University, People’s Hospital of Zhengzhou University, Zhengzhou, Henan, China
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8
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Mowforth OD, Brannigan J, El Khoury M, Sarathi CIP, Bestwick H, Bhatti F, Mair R. Personalised therapeutic approaches to glioblastoma: A systematic review. Front Med (Lausanne) 2023; 10:1166104. [PMID: 37122327 PMCID: PMC10140534 DOI: 10.3389/fmed.2023.1166104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 03/23/2023] [Indexed: 05/02/2023] Open
Abstract
Introduction Glioblastoma is the most common and malignant primary brain tumour with median survival of 14.6 months. Personalised medicine aims to improve survival by targeting individualised patient characteristics. However, a major limitation has been application of targeted therapies in a non-personalised manner without biomarker enrichment. This has risked therapies being discounted without fair and rigorous evaluation. The objective was therefore to synthesise the current evidence on survival efficacy of personalised therapies in glioblastoma. Methods Studies reporting a survival outcome in human adults with supratentorial glioblastoma were eligible. PRISMA guidelines were followed. MEDLINE, Embase, Scopus, Web of Science and the Cochrane Library were searched to 5th May 2022. Clinicaltrials.gov was searched to 25th May 2022. Reference lists were hand-searched. Duplicate title/abstract screening, data extraction and risk of bias assessments were conducted. A quantitative synthesis is presented. Results A total of 102 trials were included: 16 were randomised and 41 studied newly diagnosed patients. Of 5,527 included patients, 59.4% were male and mean age was 53.7 years. More than 20 types of personalised therapy were included: targeted molecular therapies were the most studied (33.3%, 34/102), followed by autologous dendritic cell vaccines (32.4%, 33/102) and autologous tumour vaccines (10.8%, 11/102). There was no consistent evidence for survival efficacy of any personalised therapy. Conclusion Personalised glioblastoma therapies remain of unproven survival benefit. Evidence is inconsistent with high risk of bias. Nonetheless, encouraging results in some trials provide reason for optimism. Future focus should address target-enriched trials, combination therapies, longitudinal biomarker monitoring and standardised reporting.
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Affiliation(s)
- Oliver D. Mowforth
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, England, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, England, United Kingdom
| | - Jamie Brannigan
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, England, United Kingdom
| | - Marc El Khoury
- School of Clinical Medicine, University of Cambridge, Cambridge, England, United Kingdom
| | | | - Harry Bestwick
- School of Clinical Medicine, University of Cambridge, Cambridge, England, United Kingdom
| | - Faheem Bhatti
- School of Clinical Medicine, University of Cambridge, Cambridge, England, United Kingdom
| | - Richard Mair
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, England, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, England, United Kingdom
- *Correspondence: Richard Mair,
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9
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High EZH2 Protein Expression Is a Poor Prognostic Predictor in IDH1 R132H-Negative Gliomas. Diagnostics (Basel) 2022; 12:diagnostics12102383. [PMID: 36292072 PMCID: PMC9600772 DOI: 10.3390/diagnostics12102383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 09/23/2022] [Indexed: 11/16/2022] Open
Abstract
Accumulating data indicates that enhancer of zeste homology 2 (EZH2) and isocitrate dehydrogenase 1 (IDH1) are implicated in promoting tumourigenesis in a myriad of malignancies including gliomas. We aimed to determine the immunoexpression of EZH2 in gliomas and its correlation with clinicopathological variables. The prognostic value of the combined immunoexpression of EZH2 and IDH1 was further explored in a retrospective analysis involving 56 patients with histologically confirmed gliomas in Universiti Kebangsaan Malaysia Medical Centre from 2010 to 2016. The patients were then followed up for a period of five years. EZH2 and IDH1 R132H immunoexpressions were performed and analysed on respective tissue blocks. Five-year progression-free survival (PFS) and overall survival (OS) were estimated by Kaplan−Meier analysis. Univariate and multivariate Cox proportional hazard regression models were performed to evaluate the value of EZH2 as an independent factor for the prediction of PFS and OS. High EZH2 immunoexpression was demonstrated in 27 (48.2%) gliomas. High EZH2 expression was significantly correlated with older age (p = 0.003), higher tumour grade (p < 0.001), negative IDH1 R132H immunoexpression (p = 0.039), a poor 5-year PFS (mean = 9.7 months, p < 0.001) and 5-year OS (mean = 28.2 months, p = 0.007). In IDH1 R132H-negative gliomas, there was a trend toward shorter 5-year PFS (mean = 8.0 months, p = 0.001) and 5-year OS (mean = 28.7 months, p = 0.06) in gliomas demonstrating high EZH2 expression compared with those with low EZH2 expression. High EZH2 immunoexpression is an unfavourable independent prognostic predictor of poor survival in gliomas. EZH2 analysis might therefore be of clinical value for risk stratification, especially in patients with IDH1 R132H-negative gliomas.
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Identification of COL1A1 associated with immune infiltration in brain lower grade glioma. PLoS One 2022; 17:e0269533. [PMID: 35789341 PMCID: PMC9255759 DOI: 10.1371/journal.pone.0269533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 05/23/2022] [Indexed: 11/19/2022] Open
Abstract
Brain low grade gliomas (LGG) often give serious clinical symptoms due to the invasion towards nervous system, affecting the life quality of patients. Collagen type I alpha 1(COL1A1) is the main component of type I collagen. Although there are many reports about abnormal expression of COL1A1 in various tumors, specific role and clinical significance of COL1A1 in LGG have not yet been elucidated. In this work, Tumor Immune Estimation Resource database was used for detecting the expression level of COL1A1 in cancer and normal tissues, and aimed to explore the relationship between COL1A1 and tumor immune infiltration. We applied Kaplan-Meier to analyze the role of COL1A1 in clinical prognosis. Univariate survival rate and multivariate Cox analysis were used to compare clinical characteristics and survival rate. The relativity between the expression of COL1A1 and the tumor microenvironment was evaluated using ESTIMATE algorithm. Finally, the relationship between expression level of COL1A1 and gene marker sets of immune cell infiltration was investigated via TIMER. According to TCGA, COL1A1 overexpression was correlated with overall survival (OS), progression free interval (PFI) and disease specific survival (DSS) of multiple tumors, especially in LGG. Multivariate analysis showed that COL1A1 expression was an independent prognostic factor for LGG. The expression of COL1A1 was positively correlated with the infiltration of CD4 + T and CD8 + T cells, neutrophils, macrophages and dendritic cells in LGG. In addition, there was a strong correlation between expression of COL1A1 and different immune marker sets in LGG. The results suggest that COL1A1 is related with tumor immune infiltration of LGG.
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11
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Silencing of Long Noncoding RNA HLA Complex P5 (HCP5) Suppresses Glioma Progression through the HCP5-miR-205-Vascular Endothelial Growth Factor A Feedback Loop. BIOMED RESEARCH INTERNATIONAL 2022; 2022:3092063. [PMID: 35769676 PMCID: PMC9236799 DOI: 10.1155/2022/3092063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 05/26/2022] [Indexed: 11/21/2022]
Abstract
Long noncoding RNA (lncRNA) HLA complex P5 (HCP5) is correlated with multiple diseases, especially cancers. However, it remains to be further studied whether HCP5 is involved in the malignant behaviors of gliomas. This study is aimed at investigating the role and regulation mechanisms of HCP5 in gliomas. HCP5 expression in glioma tumor tissues and its association with glioma patients' survival were analyzed based on RNA-sequencing data. The expression of HCP5 was also examined in glioma cells. Then, HCP5 was downregulated in U251 cells and/or primary glioblastoma cells to explore its effects on cell proliferation and migration. The influence of HCP5 downregulation on tumor growth was confirmed in xenograft mice. About the mechanism, we investigated whether HCP5 functioned via interacting with microRNA- (miR-) 205 and regulating vascular endothelial growth factor A (VEGF-A) expression in gliomas. Results showed that HCP5 upregulation was found in glioma tissues and cell lines. Patients with high HCP5 expression showed lower survival probability and shorter survival time. HCP5 downregulation inhibited cell proliferation and migration and mitigated tumor growth. miR-205 was downregulated in glioma cells. Knockdown of HCP5 led to miR-205 upregulation and VEGF-A downregulation. miR-205 overexpression exhibited the similar effects as HCP5 downregulation on cell viability and proliferation. And VEGF-A overexpression could reverse the effects of HCP5 downregulation on cell viability and proliferation, as well as tumor growth. In conclusion, HCP5 silencing suppressed glioma progression through the HCP5-miR-205-VEGF-A feedback loop.
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12
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Kannan J, Mathews L, Wu Z, Young NS, Gao S. CAISC: A software to integrate copy number variations and single nucleotide mutations for genetic heterogeneity profiling and subclone detection by single-cell RNA sequencing. BMC Bioinformatics 2022; 23:98. [PMID: 35313800 PMCID: PMC8939069 DOI: 10.1186/s12859-022-04625-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 03/02/2022] [Indexed: 11/26/2022] Open
Abstract
Background Although both copy number variations (CNVs) and single nucleotide variations (SNVs) detected by single-cell RNA sequencing (scRNA-seq) are used to study intratumor heterogeneity and detect clonal groups, a software that integrates these two types of data in the same cells is unavailable. Results We developed Clonal Architecture with Integration of SNV and CNV (CAISC), an R package for scRNA-seq data analysis that clusters single cells into distinct subclones by integrating CNV and SNV genotype matrices using an entropy weighted approach. The performance of CAISC was tested on simulation data and four real datasets, which confirmed its high accuracy in sub-clonal identification and assignment, including subclones which cannot be identified using one type of data alone. Furthermore, integration of SNV and CNV allowed for accurate examination of expression changes between subclones, as demonstrated by the results from trisomy 8 clones of the myelodysplastic syndromes (MDS) dataset. Conclusions CAISC is a powerful tool for integration of CNV and SNV data from scRNA-seq to identify clonal clusters with better accuracy than obtained from a single type of data. CAISC allows users to interactively examine clonal assignments. Supplementary Information The online version contains supplementary material available at 10.1186/s12859-022-04625-x.
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Affiliation(s)
- Jeerthi Kannan
- Hematopoiesis and Bone Marrow Failure Laboratory, Hematology Branch, NHLBI, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Liza Mathews
- Hematopoiesis and Bone Marrow Failure Laboratory, Hematology Branch, NHLBI, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Zhijie Wu
- Hematopoiesis and Bone Marrow Failure Laboratory, Hematology Branch, NHLBI, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Neal S Young
- Hematopoiesis and Bone Marrow Failure Laboratory, Hematology Branch, NHLBI, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Shouguo Gao
- Hematopoiesis and Bone Marrow Failure Laboratory, Hematology Branch, NHLBI, National Institutes of Health, Bethesda, MD, 20892, USA.
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Hasanau T, Pisarev E, Kisil O, Nonoguchi N, Le Calvez-Kelm F, Zvereva M. Detection of TERT Promoter Mutations as a Prognostic Biomarker in Gliomas: Methodology, Prospects, and Advances. Biomedicines 2022; 10:728. [PMID: 35327529 PMCID: PMC8945783 DOI: 10.3390/biomedicines10030728] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 03/13/2022] [Accepted: 03/17/2022] [Indexed: 11/16/2022] Open
Abstract
This article reviews the existing approaches to determining the TERT promoter mutational status in patients with various tumoral diseases of the central nervous system. The operational characteristics of the most common methods and their transferability in medical practice for the selection or monitoring of personalized treatments based on the TERT status and other related molecular biomarkers in patients with the most common tumors, such as glioblastoma, oligodendroglioma, and astrocytoma, are compared. The inclusion of new molecular markers in the course of CNS clinical management requires their rapid and reliable assessment. Availability of molecular evaluation of gliomas facilitates timely decisions regarding patient follow-up with the selection of the most appropriate treatment protocols. Significant progress in the inclusion of molecular biomarkers for their subsequent clinical application has been made since 2016 when the WHO CNS classification first used molecular markers to classify gliomas. In this review, we consider the methodological approaches used to determine mutations in the promoter region of the TERT gene in tumors of the central nervous system. In addition to classical molecular genetical methods, other methods for determining TERT mutations based on mass spectrometry, magnetic resonance imaging, next-generation sequencing, and nanopore sequencing are reviewed with an assessment of advantages and disadvantages. Beyond that, noninvasive diagnostic methods based on the determination of the mutational status of the TERT promoter are discussed.
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Affiliation(s)
- Tsimur Hasanau
- Department of Chemistry, Lomonosov Moscow State University, 119991 Moscow, Russia;
| | - Eduard Pisarev
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, 119234 Moscow, Russia;
- Chair of Chemistry of Natural Compounds, Department of Chemistry, Lomonosov Moscow State University, 119991 Moscow, Russia
| | - Olga Kisil
- Gause Institute of New Antibiotics, 119021 Moscow, Russia;
| | - Naosuke Nonoguchi
- Department of Neurosurgery, Osaka Medical and Pharmaceutical University, Takatsuki 569-8686, Japan;
| | - Florence Le Calvez-Kelm
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC), 69372 Lyon, France;
| | - Maria Zvereva
- Chair of Chemistry of Natural Compounds, Department of Chemistry, Lomonosov Moscow State University, 119991 Moscow, Russia
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Tian W, Yan G, Chen K, Han X, Zhang W, Sun L, Zhang Q, Zhang Y, Li Y, Liu M, Zhang Q. Development and Validation of a Novel Prognostic Model for Lower-Grade Glioma Based on Enhancer RNA-Regulated Prognostic Genes. Front Oncol 2022; 12:714338. [PMID: 35299740 PMCID: PMC8921558 DOI: 10.3389/fonc.2022.714338] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 02/01/2022] [Indexed: 12/19/2022] Open
Abstract
Enhancer RNAs (eRNAs) are present specifically in tumors, where they affect the expression of eRNA-regulated genes (ERGs). Owing to this characteristic, ERGs were hypothesized to improve prognosis of overall survival in heterogeneous low-grade and intermediate-grade gliomas. This study aimed to construct and validate an ERG prognostic tool to facilitate clinical management, and offer more effective diagnostic and therapeutic biomarkers for glioma. Survival-related eRNAs were identified, and their ERGs were selected based on eRNA and target gene information. The ERG prognostic model was constructed and validated using internal and external validation cohorts. Finally, biological differences related to the ERG signature were analysed to explore the potential mechanisms influencing survival outcomes. Thirteen ERGs were identified and used to build an ERG risk signature, which included five super-enhancer RNA (seRNA)-regulated genes and five LGG-specific eRNA-regulated genes. The prognostic nomogram established based on combining the ERG score, age, and sex was evaluated by calibration curves, clinical utility, Harrell’s concordance index (0.86; 95% CI: 0.83-0.90), and time-dependent receiver operator characteristic curves. We also explored potential immune-related mechanisms that might cause variation in survival. The established prognostic model displayed high validity and robustness. Several immune-related genes regulated by seRNAs or specific eRNAs were identified, indicating that these transcripts or their genes were potential targets for improving immunotherapeutic/therapeutic outcomes. The functions of an important specific eRNA-regulated gene (USP28) were validated in robust vitro experiments. In addition, the ERG risk signature was significantly associated with the immune microenvironment and other immune-related features.
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Affiliation(s)
- Wei Tian
- Department of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China
| | - Guangcan Yan
- Department of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China
| | - Kegong Chen
- Department of Cardio-Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xinhao Han
- Department of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China
| | - Wei Zhang
- Department of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China
| | - Lin Sun
- Department of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China
| | - Qi Zhang
- Department of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China
| | - Yafeng Zhang
- Department of Health Management, School of Health Management, Harbin Medical University, Harbin, China
| | - Yan Li
- Department of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China
| | - Meina Liu
- Department of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China
| | - Qiuju Zhang
- Department of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China
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15
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Krishna AP, John S, Shinde PL, Mishra R. Proteo-transcriptomics meta-analysis identifies SUMO2 as a promising target in glioblastoma multiforme therapeutics. Cancer Cell Int 2021; 21:575. [PMID: 34715855 PMCID: PMC8555349 DOI: 10.1186/s12935-021-02279-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 10/18/2021] [Indexed: 11/10/2022] Open
Abstract
Background Glioblastoma multiforme (GBM) is a deadly brain tumour with minimal survival rates due to the ever-expanding heterogeneity, chemo and radioresistance. Kinases are known to crucially drive GBM pathology; however, a rationale therapeutic combination that can simultaneously inhibit multiple kinases has not yet emerged successfully. Results Here, we analyzed the GBM patient data from several publicly available repositories and deduced hub GBM kinases, most of which were identified to be SUMOylated by SUMO2/3 isoforms. Not only the hub kinases but a significant proportion of GBM upregulated genes involved in proliferation, metastasis, invasion, epithelial-mesenchymal transition, stemness, DNA repair, stromal and macrophages maintenance were also identified to be the targets of SUMO2 isoform. Correlatively, high expression of SUMO2 isoform was found to be significantly associated with poor patient survival. Conclusions Although many natural products and drugs are evidenced to target general SUMOylation, however, our meta-analysis strongly calls for the need to design SUMO2/3 or even better SUMO2 specific inhibitors and also explore the SUMO2 transcription inhibitors for universally potential, physiologically non-toxic anti-GBM drug therapy. Graphical Abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1186/s12935-021-02279-y. The major highlights of this study are as follows:Key upregulated hub kinases and coding genes in GBM are found to be targets of SUMO2 conjugation. SUMO2 is significantly expressed in adult primary and recurrent GBMs as well as in pediatric GBM tumours. Orthotropic xenografts from adult and pediatric GBMs confirm high expression of SUMO2 in GBM tumour samples. SUMO2 is significantly associated with patient survival plot and pan-cancer cell fitness. Rationale design of SUMO2 inhibitors or search for its transcriptional inhibitors is urgently required through industry-academia collaboration for an anti-GBM and potentially pan-cancer therapeutics.
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Affiliation(s)
- Aswani P Krishna
- Brain and Cerebro-Vascular Mechanobiology Research, Laboratory of Translational Mechanobiology, Department of Neurobiology, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, 695014, Kerala, India
| | - Sebastian John
- Brain and Cerebro-Vascular Mechanobiology Research, Laboratory of Translational Mechanobiology, Department of Neurobiology, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, 695014, Kerala, India.,Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Puja Laxmanrao Shinde
- Brain and Cerebro-Vascular Mechanobiology Research, Laboratory of Translational Mechanobiology, Department of Neurobiology, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, 695014, Kerala, India
| | - Rashmi Mishra
- Brain and Cerebro-Vascular Mechanobiology Research, Laboratory of Translational Mechanobiology, Department of Neurobiology, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, 695014, Kerala, India.
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16
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Yang X, Fang L, Zhang C. CNV Analysis of the Correlation between Preoperative Lymph Node Metastasis and Prognosis of Early Tongue Cancer. J Cancer 2021; 12:6135-6144. [PMID: 34539886 PMCID: PMC8425219 DOI: 10.7150/jca.60447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 08/07/2021] [Indexed: 11/17/2022] Open
Abstract
Objective: To investigate the relationship between preoperative concealed lymph node metastasis (LNM) and prognosis in patients with early tongue cancer. Methods: According to preoperative lymph node dissection, 41 patients with tongue cancer were divided into the LNM group (n=19) and the non-LNM group (n=22). Analysis of single nucleotide variation (SNV), tumor mutation burden (TMB), mutant allele tumor heterogeneity (MATH), aneuploidy and copy number variation (CNV) was performed to identify differentially expressed genes (DEGs) related to LNM. While KEGG analysis was conducted to reveal the CNV differentially expressed genes and main enriched pathways, the correlation between pathways and genes was analyzed by hierarchical clustering. The clinical information of LNM and data on overall survival (OS) rate were obtained from The Cancer Genome Atlas (TCGA), and survival analysis was performed based on combined LNM information. Results: We observed significant correlations for the mTOR signaling pathway, Hippo signaling pathway and Wnt signaling pathway with the LNM group, while leukocyte transendothelial migration and cytokine-cytokine receptor interaction were markedly correlated with the non-LNM group. Moreover, TNFRSF10C was identified as the main DEG in the leukocyte transendothelial migration pathway. TCGA-based validation revealed that the disease-free survival (DFS) of the non-LNM group was significantly higher than that of the LNM group (P<0.005) when TNFRSF10C CNV was set to a log2 ratio>-0.163. Conclusion: The differential expression of TNFRSF10C in leukocyte transendothelial migration, an immune-related pathway, is associated with LNM and DFS. The TNFRSF10C CNV log2 ratio could potentially serve as an indicator of good prognosis for tongue cancer patients with non-LNM after neck dissection.
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Affiliation(s)
- Xi Yang
- Department of Oral & MaxillofacialeHead & Neck Oncology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai 200011, China
| | - Lu Fang
- Genecast Biotechnology Co., Ltd, Wuxi 214104, China
| | - Chenping Zhang
- Department of Oral & MaxillofacialeHead & Neck Oncology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai 200011, China.,Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, National Clinical Research Center of Stomatology, Shanghai 200011, China
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17
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Zeng C, Wang J, Li M, Wang H, Lou F, Cao S, Lu C. Comprehensive Molecular Characterization of Chinese Patients with Glioma by Extensive Next-Generation Sequencing Panel Analysis. Cancer Manag Res 2021; 13:3573-3588. [PMID: 33953611 PMCID: PMC8092857 DOI: 10.2147/cmar.s291681] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 02/17/2021] [Indexed: 12/12/2022] Open
Abstract
Background Tremendous efforts have been made to explore biomarkers for classifying and grading glioma. However, the majority of the current understanding is based on public databases that might not accurately reflect the Asian population. Here, we investigated the genetic landscape of Chinese glioma patients using a validated multigene next-generation sequencing (NGS) panel to provide a strong rationale for the future classification and prognosis of glioma in this population. Methods We analyzed 83 samples, consisting of 71 initial treatments and 12 recurrent surgical tumors, from 81 Chinese patients with gliomas by performing multigene NGS with an Acornmed panel targeting 808 cancer-related hotspot genes, including genes related to glioma (hotspots, selected exons or complete coding sequences) and full-length SNPs located on chromosomes 1 and 19. Results A total of 76 (91.57%) glioma samples had at least one somatic mutation. The most commonly mutated genes were TP53, TERT, IDH1, PTEN, ATRX, and EGFR. Approximately one-third of cases exhibited more than one copy number variation. Of note, this study identified the amplification of genes, such as EGFR and PDGFRA, which were significantly associated with glioblastoma but had not been previously used for clinical classification (P<0.05). Significant differences in genomic profiles between different pathological subtypes and WHO grade were observed. Compared to the MSKCC database primarily comprised of Caucasians, H3F3A mutations and MET amplifications exhibited higher mutation rates, whereas TERT mutations and EGFR and CDKN2A/B copy number variations presented a lower mutation rate in Chinese patients with glioma (P<0.05). Conclusion Our multigene NGS in the simultaneous evaluation of multiple relevant markers revealed several novel genetic alterations in Chinese patients with glioma. NGS-based molecular analysis is a reliable and effective method for diagnosing brain tumors, assisting clinicians in evaluating additional potential therapeutic options, such as targeted therapy, for glioma patients in different racial/ethnic groups.
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Affiliation(s)
- Chun Zeng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.,China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China
| | - Jing Wang
- Department of Neurosurgery, Peking University International Hospital, Beijing, People's Republic of China
| | - Mingwei Li
- Acornmed Biotechnology Co., Ltd, Beijing, People's Republic of China
| | - Huina Wang
- Acornmed Biotechnology Co., Ltd, Beijing, People's Republic of China
| | - Feng Lou
- Acornmed Biotechnology Co., Ltd, Beijing, People's Republic of China
| | - Shanbo Cao
- Acornmed Biotechnology Co., Ltd, Beijing, People's Republic of China
| | - Changyu Lu
- Department of Neurosurgery, Peking University International Hospital, Beijing, People's Republic of China
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18
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Wang QW, Zhao Z, Bao ZS, Jiang T, Zhu YJ. Comprehensive analysis of multi-omics data of recurrent gliomas identifies a recurrence-related signature as a novel prognostic marker. Am J Cancer Res 2021; 11:1226-1246. [PMID: 33948355 PMCID: PMC8085869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 02/01/2021] [Indexed: 06/12/2023] Open
Abstract
Tumor recurrence is a common clinical dilemma in diffuse gliomas. We aimed to identify a recurrence-related signature to predict the prognosis for glioma patients. In the public Chinese Glioma Genome Atlas dataset, we enrolled multi-omics data including genome, epigenome and transcriptome across primary and recurrent gliomas. We included RNA sequencing data from the batch 1 patients (325 patients) as the training set, while RNA sequencing data from the batch 2 patients (693 patients) were selected as the validation set. The R language was used for subsequent analysis. Compared with primary gliomas, more somatic mutations and copy number alterations were revealed in recurrent gliomas. In recurrent gliomas, we identified 113 genes whose methylation levels were significantly different from those of the primary glioma. Through differential expression analysis between primary and recurrent gliomas, we screened 121 recurrence-related genes. Based on these 121 gene expression profiles, consensus clustering of 325 patients yielded two robust groups with different molecular and prognostic features. We developed a recurrence-related risk signature with the lasso regression algorithm. High-risk group had shorter survival and earlier tumor recurrence than the low-risk group. Compared with traditional indicators, the signature showed better prognostic value. In addition, we constructed a nomogram model to predict glioma survival. Functional characteristics analysis found that the signature was associated with cell division and cell cycle. Immune analysis suggested that immunosuppressive status and macrophages might promote glioma recurrence. We demonstrated a novel 18-gene signature that could effectively predict recurrence and prognosis for glioma patients.
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Affiliation(s)
- Qiang-Wei Wang
- Department of Neurosurgery, The Second Affiliated Hospital, Zhejiang University School of MedicineHangzhou 310009, China
- Chinese Glioma Genome Atlas Network (CGGA) and Asian Glioma Genome Atlas Network (AGGA)Beijing 100070, China
| | - Zheng Zhao
- Chinese Glioma Genome Atlas Network (CGGA) and Asian Glioma Genome Atlas Network (AGGA)Beijing 100070, China
- Beijing Neurosurgical Institute, Capital Medical UniversityBeijing 100070, China
| | - Zhao-Shi Bao
- Chinese Glioma Genome Atlas Network (CGGA) and Asian Glioma Genome Atlas Network (AGGA)Beijing 100070, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical UniversityBeijing 100070, China
| | - Tao Jiang
- Chinese Glioma Genome Atlas Network (CGGA) and Asian Glioma Genome Atlas Network (AGGA)Beijing 100070, China
- Beijing Neurosurgical Institute, Capital Medical UniversityBeijing 100070, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical UniversityBeijing 100070, China
| | - Yong-Jian Zhu
- Department of Neurosurgery, The Second Affiliated Hospital, Zhejiang University School of MedicineHangzhou 310009, China
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Putavet DA, de Keizer PLJ. Residual Disease in Glioma Recurrence: A Dangerous Liaison with Senescence. Cancers (Basel) 2021; 13:1560. [PMID: 33805316 PMCID: PMC8038015 DOI: 10.3390/cancers13071560] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 03/11/2021] [Accepted: 03/11/2021] [Indexed: 12/24/2022] Open
Abstract
With a dismally low median survival of less than two years after diagnosis, Glioblastoma (GBM) is the most lethal type of brain cancer. The standard-of-care of surgical resection, followed by DNA-damaging chemo-/radiotherapy, is often non-curative. In part, this is because individual cells close to the resection border remain alive and eventually undergo renewed proliferation. These residual, therapy-resistant cells lead to rapid recurrence, against which no effective treatment exists to date. Thus, new experimental approaches need to be developed against residual disease to prevent GBM survival and recurrence. Cellular senescence is an attractive area for the development of such new approaches. Senescence can occur in healthy cells when they are irreparably damaged. Senescent cells develop a chronic secretory phenotype that is generally considered pro-tumorigenic and pro-migratory. Age is a negative prognostic factor for GBM stage, and, with age, senescence steadily increases. Moreover, chemo-/radiotherapy can provide an additional increase in senescence close to the tumor. In light of this, we will review the importance of senescence in the tumor-supportive brain parenchyma, focusing on the invasion and growth of GBM in residual disease. We will propose a future direction on the application of anti-senescence therapies against recurrent GBM.
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Affiliation(s)
| | - Peter L. J. de Keizer
- Center for Molecular Medicine, Division LAB, University Medical Center Utrecht, 3584CG Utrecht, The Netherlands;
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20
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Jean-Quartier C, Jeanquartier F, Ridvan A, Kargl M, Mirza T, Stangl T, Markaĉ R, Jurada M, Holzinger A. Mutation-based clustering and classification analysis reveals distinctive age groups and age-related biomarkers for glioma. BMC Med Inform Decis Mak 2021; 21:77. [PMID: 33639927 PMCID: PMC7913451 DOI: 10.1186/s12911-021-01420-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Accepted: 01/08/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Malignant brain tumor diseases exhibit differences within molecular features depending on the patient's age. METHODS In this work, we use gene mutation data from public resources to explore age specifics about glioma. We use both an explainable clustering as well as classification approach to find and interpret age-based differences in brain tumor diseases. We estimate age clusters and correlate age specific biomarkers. RESULTS Age group classification shows known age specifics but also points out several genes which, so far, have not been associated with glioma classification. CONCLUSIONS We highlight mutated genes to be characteristic for certain age groups and suggest novel age-based biomarkers and targets.
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Affiliation(s)
- Claire Jean-Quartier
- Human-Centered AI Lab (Holzinger Group), Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Auenbruggerplatz 2/V, 8036 Graz, Austria
| | - Fleur Jeanquartier
- Human-Centered AI Lab (Holzinger Group), Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Auenbruggerplatz 2/V, 8036 Graz, Austria
- Institute of Interactive Systems and Data Science, Graz University of Technology, Graz, Austria
| | - Aydin Ridvan
- Institute of Interactive Systems and Data Science, Graz University of Technology, Graz, Austria
| | - Matthias Kargl
- Institute of Interactive Systems and Data Science, Graz University of Technology, Graz, Austria
| | - Tica Mirza
- Institute of Interactive Systems and Data Science, Graz University of Technology, Graz, Austria
| | - Tobias Stangl
- Institute of Interactive Systems and Data Science, Graz University of Technology, Graz, Austria
| | - Robi Markaĉ
- Institute of Interactive Systems and Data Science, Graz University of Technology, Graz, Austria
| | - Mauro Jurada
- Institute of Interactive Systems and Data Science, Graz University of Technology, Graz, Austria
| | - Andreas Holzinger
- Institute of Interactive Systems and Data Science, Graz University of Technology, Graz, Austria
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21
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Qiang W, Dai Y, Xing X, Sun X. Identification and validation of a prognostic signature and combination drug therapy for immunotherapy of head and neck squamous cell carcinoma. Comput Struct Biotechnol J 2021; 19:1263-1276. [PMID: 33717423 PMCID: PMC7921014 DOI: 10.1016/j.csbj.2021.01.046] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2020] [Revised: 01/27/2021] [Accepted: 01/30/2021] [Indexed: 02/07/2023] Open
Abstract
Immunotherapy has become a promising therapeutic option for Head and neck squamous cell carcinoma (HNSC). However, only a small percentage of patients could benefit from it, and the overall prognosis was far from satisfactory. In this study, by comprehensively computational analyses of hundreds of HNSC samples, a prognostic signature composed of 13 immune-related genes (IRGs) was constructed. The results of the analyses in multiple datasets indicated that our signature had high predictive accuracy and could serve as an independent prognostic predictor. Based on this signature and multiple clinical variables, we also established a prognostic nomogram to quantitatively predict the survival risk of individual patients. Moreover, this signature could accurately predict survival, reflect the immune microenvironment, and predict immunotherapy efficacy among HNSC patients. Two potential drugs (doxorubicin and daunorubicin) were also identified via Connectivity Map and molecular docking, which could be used for HNSC combination therapy. Taken together, we developed and validated a robust IRG-based prognostic signature to monitor the prognosis of HNSC, which could provide a solid foundation for individualized cancer immunotherapy.
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Affiliation(s)
- Weijie Qiang
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, PR China.,Key Laboratory of New Drug Discovery based on Classic Chinese Medicine Prescription, Chinese Academy of Medical Sciences, Beijing 100193, PR China
| | - Yifei Dai
- School of Medicine, Tsinghua University, Beijing 100084, PR China
| | - Xiaoyan Xing
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, PR China.,Key Laboratory of New Drug Discovery based on Classic Chinese Medicine Prescription, Chinese Academy of Medical Sciences, Beijing 100193, PR China
| | - Xiaobo Sun
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, PR China.,Key Laboratory of New Drug Discovery based on Classic Chinese Medicine Prescription, Chinese Academy of Medical Sciences, Beijing 100193, PR China
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22
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Gómez-Oliva R, Domínguez-García S, Carrascal L, Abalos-Martínez J, Pardillo-Díaz R, Verástegui C, Castro C, Nunez-Abades P, Geribaldi-Doldán N. Evolution of Experimental Models in the Study of Glioblastoma: Toward Finding Efficient Treatments. Front Oncol 2021; 10:614295. [PMID: 33585240 PMCID: PMC7878535 DOI: 10.3389/fonc.2020.614295] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 12/14/2020] [Indexed: 12/15/2022] Open
Abstract
Glioblastoma (GBM) is the most common form of brain tumor characterized by its resistance to conventional therapies, including temozolomide, the most widely used chemotherapeutic agent in the treatment of GBM. Within the tumor, the presence of glioma stem cells (GSC) seems to be the reason for drug resistance. The discovery of GSC has boosted the search for new experimental models to study GBM, which allow the development of new GBM treatments targeting these cells. In here, we describe different strategies currently in use to study GBM. Initial GBM investigations were focused in the development of xenograft assays. Thereafter, techniques advanced to dissociate tumor cells into single-cell suspensions, which generate aggregates referred to as neurospheres, thus facilitating their selective expansion. Concomitantly, the finding of genes involved in the initiation and progression of GBM tumors, led to the generation of mice models for the GBM. The latest advances have been the use of GBM organoids or 3D-bioprinted mini-brains. 3D bio-printing mimics tissue cytoarchitecture by combining different types of cells interacting with each other and with extracellular matrix components. These in vivo models faithfully replicate human diseases in which the effect of new drugs can easily be tested. Based on recent data from human glioblastoma, this review critically evaluates the different experimental models used in the study of GB, including cell cultures, mouse models, brain organoids, and 3D bioprinting focusing in the advantages and disadvantages of each approach to understand the mechanisms involved in the progression and treatment response of this devastating disease.
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Affiliation(s)
- Ricardo Gómez-Oliva
- Área de Fisiología, Facultad de Medicina, Universidad de Cádiz, Cádiz, Spain.,Instituto de Investigación e Innovación Biomédica de Cádiz (INIBICA), Cádiz, Spain
| | - Samuel Domínguez-García
- Área de Fisiología, Facultad de Medicina, Universidad de Cádiz, Cádiz, Spain.,Instituto de Investigación e Innovación Biomédica de Cádiz (INIBICA), Cádiz, Spain
| | - Livia Carrascal
- Instituto de Investigación e Innovación Biomédica de Cádiz (INIBICA), Cádiz, Spain.,Departamento de Fisiología, Facultad de Farmacia, Universidad de Sevilla, Sevilla, Spain
| | | | - Ricardo Pardillo-Díaz
- Área de Fisiología, Facultad de Medicina, Universidad de Cádiz, Cádiz, Spain.,Instituto de Investigación e Innovación Biomédica de Cádiz (INIBICA), Cádiz, Spain
| | - Cristina Verástegui
- Instituto de Investigación e Innovación Biomédica de Cádiz (INIBICA), Cádiz, Spain.,Departamento de Anatomía y Embriología Humanas, Facultad de Medicina, Universidad de Cádiz, Cádiz, Spain
| | - Carmen Castro
- Área de Fisiología, Facultad de Medicina, Universidad de Cádiz, Cádiz, Spain.,Instituto de Investigación e Innovación Biomédica de Cádiz (INIBICA), Cádiz, Spain
| | - Pedro Nunez-Abades
- Instituto de Investigación e Innovación Biomédica de Cádiz (INIBICA), Cádiz, Spain.,Departamento de Fisiología, Facultad de Farmacia, Universidad de Sevilla, Sevilla, Spain
| | - Noelia Geribaldi-Doldán
- Departamento de Anatomía y Embriología Humanas, Facultad de Medicina, Universidad de Cádiz, Cádiz, Spain.,Instituto de Investigación e Innovación Biomédica de Cádiz (INIBICA), Cádiz, Spain
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23
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New insights into the molecular genetics of recurrent malignant gliomas. J Mol Med (Berl) 2021; 99:257-259. [PMID: 33404671 DOI: 10.1007/s00109-020-02021-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 12/01/2020] [Accepted: 12/04/2020] [Indexed: 10/22/2022]
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24
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Yuan Y, Qi P, Xiang W, Yanhui L, Yu L, Qing M. Multi-Omics Analysis Reveals Novel Subtypes and Driver Genes in Glioblastoma. Front Genet 2020; 11:565341. [PMID: 33324446 PMCID: PMC7726196 DOI: 10.3389/fgene.2020.565341] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 10/26/2020] [Indexed: 02/05/2023] Open
Abstract
Glioblastoma is the most lethal malignant primary brain tumor; nevertheless, there remains a lack of accurate prognostic markers and drug targets. In this study, we analyzed 117 primary glioblastoma patients’ data that contained SNP, DNA copy, DNA methylation, mRNA expression, and clinical information. After the quality of control examination, we conducted the single nucleotide polymorphism (SNP) analysis, copy number variation (CNV) analysis, and infiltrated immune cells estimate. And moreover, by using the cluster of cluster analysis (CoCA) methods, we finally divided these GBM patients into two novel subtypes, HX-1 (Cluster 1) and HX-2 (Cluster 2), which could be co-characterized by 3 methylation variable positions [cg16957313(DUSP1), cg17783509(PHOX2B), cg23432345(HOXA7)] and 15 (PCDH1, CYP27B1, LPIN3, GPR32, BCL6, OR4Q3, MAGI3, SKIV2L, PCSK5, AKAP12, UBE3B, MAP4, TP53BP1, F5, RHOBTB1) gene mutations pattern. Compared to HX-1 subtype, the HX-2 subtype was identified with higher gene co-occurring events, tumor mutation burden (TBM), and poor median overall survival [231.5 days (HX-2) vs. 445 days (HX-1), P-value = 0.00053]. We believe that HX-1 and HX-2 subtypes may make sense as the potential prognostic biomarkers for patients with glioblastoma.
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Affiliation(s)
- Yang Yuan
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Pan Qi
- Department of Dermatology, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China
| | - Wang Xiang
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Liu Yanhui
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Li Yu
- Department of Anesthesia, West China Hospital, Sichuan University, Chengdu, China
| | - Mao Qing
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
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25
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Nakamura M, Obayashi M, Yoshimitsu M, Kato H, Morita A. Comparative whole-exome sequencing of an ultra-late recurrent malignant melanoma. Br J Dermatol 2020; 184:762-763. [PMID: 33205417 DOI: 10.1111/bjd.19680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 11/12/2020] [Accepted: 11/12/2020] [Indexed: 11/29/2022]
Affiliation(s)
- M Nakamura
- Department of Geriatric and Environmental Dermatology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - M Obayashi
- Department of Geriatric and Environmental Dermatology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - M Yoshimitsu
- Department of Geriatric and Environmental Dermatology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - H Kato
- Department of Geriatric and Environmental Dermatology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - A Morita
- Department of Geriatric and Environmental Dermatology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
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26
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Song X, Hu Y, Li Y, Shao R, Liu F, Liu Y. Overview of current targeted therapy in gallbladder cancer. Signal Transduct Target Ther 2020; 5:230. [PMID: 33028805 PMCID: PMC7542154 DOI: 10.1038/s41392-020-00324-2] [Citation(s) in RCA: 69] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 08/08/2020] [Accepted: 09/10/2020] [Indexed: 02/08/2023] Open
Abstract
Gallbladder cancer (GBC) is rare, but is the most malignant type of biliary tract tumor. Unfortunately, only a small population of cancer patients is acceptable for the surgical resection, the current effective regimen; thus, the high mortality rate has been static for decades. To substantially circumvent the stagnant scenario, a number of therapeutic approaches owing to the creation of advanced technologic measures (e.g., next-generation sequencing, transcriptomics, proteomics) have been intensively innovated, which include targeted therapy, immunotherapy, and nanoparticle-based delivery systems. In the current review, we primarily focus on the targeted therapy capable of specifically inhibiting individual key molecules that govern aberrant signaling cascades in GBC. Global clinical trials of targeted therapy in GBC are updated and may offer great value for novel pathologic and therapeutic insights of this deadly disease, ultimately improving the efficacy of treatment.
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Affiliation(s)
- Xiaoling Song
- Department of General Surgery and Laboratory of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, 200092, Shanghai, China
- Shanghai Key Laboratory of Biliary Tract Disease Research, 1665 Kongjiang Road, 200092, Shanghai, China
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, School of Medicine, Shanghai Jiao Tong University, 200127, Shanghai, China
| | - Yunping Hu
- Department of General Surgery and Laboratory of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, 200092, Shanghai, China
- Shanghai Key Laboratory of Biliary Tract Disease Research, 1665 Kongjiang Road, 200092, Shanghai, China
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, School of Medicine, Shanghai Jiao Tong University, 200127, Shanghai, China
| | - Yongsheng Li
- Shanghai Key Laboratory of Biliary Tract Disease Research, 1665 Kongjiang Road, 200092, Shanghai, China
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, School of Medicine, Shanghai Jiao Tong University, 200127, Shanghai, China
- Department of Biliary-Pancreatic Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 200127, Shanghai, China
| | - Rong Shao
- Shanghai Key Laboratory of Biliary Tract Disease Research, 1665 Kongjiang Road, 200092, Shanghai, China.
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, School of Medicine, Shanghai Jiao Tong University, 200127, Shanghai, China.
- Department of Pharmacology, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
| | - Fatao Liu
- Department of General Surgery and Laboratory of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, 200092, Shanghai, China.
- Shanghai Key Laboratory of Biliary Tract Disease Research, 1665 Kongjiang Road, 200092, Shanghai, China.
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, School of Medicine, Shanghai Jiao Tong University, 200127, Shanghai, China.
| | - Yingbin Liu
- Shanghai Key Laboratory of Biliary Tract Disease Research, 1665 Kongjiang Road, 200092, Shanghai, China.
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, School of Medicine, Shanghai Jiao Tong University, 200127, Shanghai, China.
- Department of Biliary-Pancreatic Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 200127, Shanghai, China.
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27
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Scheetz L, Kadiyala P, Sun X, Son S, Hassani Najafabadi A, Aikins M, Lowenstein PR, Schwendeman A, Castro MG, Moon JJ. Synthetic High-density Lipoprotein Nanodiscs for Personalized Immunotherapy Against Gliomas. Clin Cancer Res 2020; 26:4369-4380. [PMID: 32439701 PMCID: PMC7442596 DOI: 10.1158/1078-0432.ccr-20-0341] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 04/15/2020] [Accepted: 05/15/2020] [Indexed: 12/30/2022]
Abstract
PURPOSE Gliomas are brain tumors with dismal prognoses. The standard-of-care treatments for gliomas include surgical resection, radiation, and temozolomide administration; however, they have been ineffective in providing significant increases in median survival. Antigen-specific cancer vaccines and immune checkpoint blockade may provide promising immunotherapeutic approaches for gliomas. EXPERIMENTAL DESIGN We have developed immunotherapy delivery vehicles based on synthetic high-density lipoprotein (sHDL) loaded with CpG, a Toll-like receptor-9 agonist, and tumor-specific neoantigens to target gliomas and elicit immune-mediated tumor regression. RESULTS We demonstrate that vaccination with neoantigen peptide-sHDL/CpG cocktail in combination with anti-PD-L1 immune checkpoint blocker elicits robust neoantigen-specific T-cell responses against GL261 cells and eliminated established orthotopic GL261 glioma in 33% of mice. Mice remained tumor free upon tumor cell rechallenge in the contralateral hemisphere, indicating the development of immunologic memory. Moreover, in a genetically engineered murine model of orthotopic mutant IDH1 (mIDH1) glioma, sHDL vaccination with mIDH1 neoantigen eliminated glioma in 30% of animals and significantly extended the animal survival, demonstrating the versatility of our approach in multiple glioma models. CONCLUSIONS Overall, our strategy provides a general roadmap for combination immunotherapy against gliomas and other cancer types.
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Affiliation(s)
- Lindsay Scheetz
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, Michigan
- Biointerfaces Institute, University of Michigan, Ann Arbor, Michigan
| | - Padma Kadiyala
- Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan
| | - Xiaoqi Sun
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, Michigan
- Biointerfaces Institute, University of Michigan, Ann Arbor, Michigan
| | - Sejin Son
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, Michigan
- Biointerfaces Institute, University of Michigan, Ann Arbor, Michigan
| | - Alireza Hassani Najafabadi
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, Michigan
- Biointerfaces Institute, University of Michigan, Ann Arbor, Michigan
| | - Marisa Aikins
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, Michigan
- Biointerfaces Institute, University of Michigan, Ann Arbor, Michigan
| | - Pedro R Lowenstein
- Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan
- Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, Michigan
| | - Anna Schwendeman
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, Michigan.
- Biointerfaces Institute, University of Michigan, Ann Arbor, Michigan
| | - Maria G Castro
- Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan.
- Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, Michigan
| | - James J Moon
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, Michigan.
- Biointerfaces Institute, University of Michigan, Ann Arbor, Michigan
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan
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28
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Chen Q, Ouyang D, Anwar M, Xie N, Wang S, Fan P, Qian L, Chen G, Zhou E, Guo L, Gu X, Ding B, Yang X, Liu L, Deng C, Xiao Z, Li J, Wang Y, Zeng S, Hu J, Zhou W, Qiu B, Wang Z, Weng J, Liu M, Li Y, Tang T, Wang J, Zhang H, Dai B, Tang W, Wu T, Xiao M, Li X, Liu H, Li L, Yi W, Ouyang Q. Effectiveness and Safety of Pyrotinib, and Association of Biomarker With Progression-Free Survival in Patients With HER2-Positive Metastatic Breast Cancer: A Real-World, Multicentre Analysis. Front Oncol 2020; 10:811. [PMID: 32528890 PMCID: PMC7263174 DOI: 10.3389/fonc.2020.00811] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Accepted: 04/24/2020] [Indexed: 12/12/2022] Open
Abstract
Background: Pyrotinib, an irreversible pan-ERBB inhibitor, has shown promising antitumour activity, and acceptable tolerability. This research was conducted to evaluate the actual use and effectiveness of pyrotinib in China, therefore, contributed to solve the problem of real-world data scarcity. Methods: In this retrospective study, 168 patients who received pyrotinib treatment for HER2-positive metastatic breast cancer (MBC) in Hunan Province from June 2018 to August 2019 were included. Progression-free survival (PFS), tumor mutation burden (TMB), and drug-related adverse events (AEs) after pyrotinib administration were analyzed. Results: The median PFS (mPFS) time in the 168 participants was 8.07 months. The mPFS times in patients with pyrotinib in second-line therapy (n = 65) and third-or-higher-line therapy (n = 94) were 8.10 months and 7.60 months, respectively. Patients with brain metastases achieved 8.80 months mPFS time. In patients with pyrotinib in third-or-higher-line therapy, patients who had previously used lapatinib still got efficacy but showed a shorter mPFS time (6.43 months) than patients who had not (8.37 months). TMB was measured in 28 patients, K-M curve (P = 0.0024) and Multivariate Cox analysis (P = 0.0176) showed a significant negative association between TMB and PFS. Diarrhea occurred in 98.2% of participants (in any grade) and 19.6% in grade 3-4 AEs. Conclusion: Pyrotinib is highly beneficial to second-or-higher-line patients or HER2-positive MBC patients with brain metastases. Pyrotinib seems to be a feasible strategy both in combination of chemotherapeutic drugs or as a replacement of lapatinib if diseases progressed. TMB could be a potential predictor for evaluating pyrotinib's effectiveness in HER2-positive MBC.
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Affiliation(s)
- Qitong Chen
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Dengjie Ouyang
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.,Department of General Surgery, Xiangya Hospital Central South University, Changsha, China
| | - Munawar Anwar
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Ning Xie
- Department of Breast Internal Medicine, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Shouman Wang
- Department of Breast Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Peizhi Fan
- Department of Breast and Thyroid Surgery, Hunan Provincial People's Hospital, Changsha, China
| | - Liyuan Qian
- Department of Breast and Thyroid Surgery, Central South University Third Xiangya Hospital, Changsha, China
| | - Gannong Chen
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Enxiang Zhou
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Lei Guo
- Department of Breast Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Xiaowen Gu
- Department of Breast and Thyroid Surgery, Hunan Provincial People's Hospital, Changsha, China
| | - Boni Ding
- Department of Breast and Thyroid Surgery, Central South University Third Xiangya Hospital, Changsha, China
| | - Xiaohong Yang
- Department of Oncology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Cental South University, Changsha, China
| | - Liping Liu
- Department of Oncology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Cental South University, Changsha, China
| | - Chao Deng
- Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Zhi Xiao
- Department of Breast Internal Medicine, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Jing Li
- Department of Breast Medical Oncology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Cental South University, Changsha, China
| | - Yunqi Wang
- Department of Traditional Chinese Medicine, The Affiliated Cancer Hospital of Xiangya School of Medicine, Cental South University, Changsha, China
| | - Shan Zeng
- Department of Internal Medicine - Oncology, Xiangya Hospital Central South University, Changsha, China
| | - Jinhui Hu
- Department of Breast Surgery, The First Hospital Hunan University of Chinese Medicine, Changsha, China
| | - Wei Zhou
- Department of Breast and Thyroid Surgery, The Affiliated ZhuZhou Hospital of Xiangya School of Medicine Central South University, Zhuzhou, China
| | - Bo Qiu
- Department of Oncology, The Affiliated ZhuZhou Hospital of Xiangya School of Medicine Central South University, Zhuzhou, China
| | - Zhongming Wang
- Department of Breast Surgery, The Third People's Hospital of Yongzhou, Yongzhou, China
| | - Jie Weng
- Department of Oncology, The First People's Hospital of Yueyang, Yueyang, China
| | - Mingwen Liu
- Department of Breast and Thyroid Surgery, The First People's Hospital of Xiangtan City, Xiangtan, China
| | - Yi Li
- Department of Oncology, The Third People's Hospital of Changde, Changde, China
| | - Tiegang Tang
- Department of Oncology, Xiangtan Central Hospital, Xiangtan, China
| | - Jianguo Wang
- Department of General Surgery, Xiangtan Central Hospital, Xiangtan, China
| | - Hui Zhang
- Department of Oncology, Central Hospital of Shaoyang, Shaoyang, China
| | - Bin Dai
- Department of Breast and Thyroid Surgery, Central Hospital of Shaoyang, Shaoyang, China
| | - Wuping Tang
- Department of Breast Surgery, Shaoyang Hospital of Traditional Chinese Medicine, Shaoyang, China
| | - Tao Wu
- Department of Oncology, The First People's Hospital of Changde, Changde, China
| | - Maoliang Xiao
- Department of Oncology, The Third Hospital of Hunan University of Chinese Medicine, Zhuzhou, China
| | - Xiantao Li
- Department of Oncology, The Central Hospital of Yiyang, Yiyang, China
| | - Hailong Liu
- Department of Internal Medicine - Oncology, The First People's Hospital of Chenzhou, Chenzhou, China
| | - Lai Li
- Department of Breast and Thyroid Surgery, The People's Hospital of Xiangtan County, Xiangtan, China
| | - Wenjun Yi
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Quchang Ouyang
- Department of Breast Internal Medicine, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
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29
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Buchwald ZS, Tian S, Rossi M, Smith GH, Switchenko J, Hauenstein JE, Moreno CS, Press RH, Prabhu RS, Zhong J, Saxe DF, Neill SG, Olson JJ, Crocker IR, Curran WJ, Shu HKG. Genomic copy number variation correlates with survival outcomes in WHO grade IV glioma. Sci Rep 2020; 10:7355. [PMID: 32355162 PMCID: PMC7192941 DOI: 10.1038/s41598-020-63789-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Accepted: 04/06/2020] [Indexed: 12/12/2022] Open
Abstract
Allele-specific copy number analysis of tumors (ASCAT) assesses copy number variations (CNV) while accounting for aberrant cell fraction and tumor ploidy. We evaluated if ASCAT-assessed CNV are associated with survival outcomes in 56 patients with WHO grade IV gliomas. Tumor data analyzed by Affymetrix OncoScan FFPE Assay yielded the log ratio (R) and B-allele frequency (BAF). Input into ASCAT quantified CNV using the segmentation function to measure copy number inflection points throughout the genome. Quantified CNV was reported as log R and BAF segment counts. Results were confirmed on The Cancer Genome Atlas (TCGA) glioblastoma dataset. 25 (44.6%) patients had MGMT hyper-methylated tumors, 6 (10.7%) were IDH1 mutated. Median follow-up was 36.4 months. Higher log R segment counts were associate with longer progression-free survival (PFS) [hazard ratio (HR) 0.32, p < 0.001], and overall survival (OS) [HR 0.45, p = 0.01], and was an independent predictor of PFS and OS on multivariable analysis. Higher BAF segment counts were linked to longer PFS (HR 0.49, p = 0.022) and OS (HR 0.49, p = 0.052). In the TCGA confirmation cohort, longer 12-month OS was seen in patients with higher BAF segment counts (62.3% vs. 51.9%, p = 0.0129) and higher log R (63.6% vs. 55.2%, p = 0.0696). Genomic CNV may be a novel prognostic biomarker for WHO grade IV glioma patient outcomes.
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Affiliation(s)
- Zachary S Buchwald
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, USA.
| | - Sibo Tian
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | | | - Geoffrey H Smith
- Pathology & Laboratory Medicine, Emory University, Atlanta, GA, USA
| | - Jeffrey Switchenko
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | | | - Carlos S Moreno
- Pathology & Laboratory Medicine, Emory University, Atlanta, GA, USA
| | - Robert H Press
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Roshan S Prabhu
- Southeast Radiation Oncology Group, Levine Cancer Institute, Carolinas Healthcare System, Charlotte, NC, USA
| | - Jim Zhong
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Debra F Saxe
- Pathology & Laboratory Medicine, Emory University, Atlanta, GA, USA
| | - Stewart G Neill
- Pathology & Laboratory Medicine, Emory University, Atlanta, GA, USA
| | - Jeffrey J Olson
- Department of Neurosurgery, Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Ian R Crocker
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Walter J Curran
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Hui-Kuo G Shu
- Department of Radiation Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, USA
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