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Joyce T, Tasci E, Jagasia S, Shephard J, Chappidi S, Zhuge Y, Zhang L, Cooley Zgela T, Sproull M, Mackey M, Camphausen K, Krauze AV. Serum CD133-Associated Proteins Identified by Machine Learning Are Connected to Neural Development, Cancer Pathways, and 12-Month Survival in Glioblastoma. Cancers (Basel) 2024; 16:2740. [PMID: 39123468 PMCID: PMC11311306 DOI: 10.3390/cancers16152740] [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: 06/17/2024] [Revised: 07/24/2024] [Accepted: 07/26/2024] [Indexed: 08/12/2024] Open
Abstract
Glioma is the most prevalent type of primary central nervous system cancer, while glioblastoma (GBM) is its most aggressive variant, with a median survival of only 15 months when treated with maximal surgical resection followed by chemoradiation therapy (CRT). CD133 is a potentially significant GBM biomarker. However, current clinical biomarker studies rely on invasive tissue samples. These make prolonged data acquisition impossible, resulting in increased interest in the use of liquid biopsies. Our study, analyzed 7289 serum proteins from 109 patients with pathology-proven GBM obtained prior to CRT using the aptamer-based SOMAScan® proteomic assay technology. We developed a novel methodology that identified 24 proteins linked to both serum CD133 and 12-month overall survival (OS) through a multi-step machine learning (ML) analysis. These identified proteins were subsequently subjected to survival and clustering evaluations, categorizing patients into five risk groups that accurately predicted 12-month OS based on their protein profiles. Most of these proteins are involved in brain function, neural development, and/or cancer biology signaling, highlighting their significance and potential predictive value. Identifying these proteins provides a valuable foundation for future serum investigations as validation of clinically applicable GBM biomarkers can unlock immense potential for diagnostics and treatment monitoring.
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Affiliation(s)
- Thomas Joyce
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute NIH, 9000 Rockville Pike, Bethesda, MD 20892, USA; (T.J.); (S.J.); (J.S.); (S.C.); (Y.Z.); (L.Z.); (T.C.Z.); (M.S.); (M.M.); (K.C.)
| | - Erdal Tasci
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute NIH, 9000 Rockville Pike, Bethesda, MD 20892, USA; (T.J.); (S.J.); (J.S.); (S.C.); (Y.Z.); (L.Z.); (T.C.Z.); (M.S.); (M.M.); (K.C.)
| | - Sarisha Jagasia
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute NIH, 9000 Rockville Pike, Bethesda, MD 20892, USA; (T.J.); (S.J.); (J.S.); (S.C.); (Y.Z.); (L.Z.); (T.C.Z.); (M.S.); (M.M.); (K.C.)
| | - Jason Shephard
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute NIH, 9000 Rockville Pike, Bethesda, MD 20892, USA; (T.J.); (S.J.); (J.S.); (S.C.); (Y.Z.); (L.Z.); (T.C.Z.); (M.S.); (M.M.); (K.C.)
| | - Shreya Chappidi
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute NIH, 9000 Rockville Pike, Bethesda, MD 20892, USA; (T.J.); (S.J.); (J.S.); (S.C.); (Y.Z.); (L.Z.); (T.C.Z.); (M.S.); (M.M.); (K.C.)
- Department of Computer Science and Technology, University of Cambridge, 15 JJ Thomson Ave, Cambridge CB3 0FD, UK
| | - Ying Zhuge
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute NIH, 9000 Rockville Pike, Bethesda, MD 20892, USA; (T.J.); (S.J.); (J.S.); (S.C.); (Y.Z.); (L.Z.); (T.C.Z.); (M.S.); (M.M.); (K.C.)
| | - Longze Zhang
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute NIH, 9000 Rockville Pike, Bethesda, MD 20892, USA; (T.J.); (S.J.); (J.S.); (S.C.); (Y.Z.); (L.Z.); (T.C.Z.); (M.S.); (M.M.); (K.C.)
| | - Theresa Cooley Zgela
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute NIH, 9000 Rockville Pike, Bethesda, MD 20892, USA; (T.J.); (S.J.); (J.S.); (S.C.); (Y.Z.); (L.Z.); (T.C.Z.); (M.S.); (M.M.); (K.C.)
| | - Mary Sproull
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute NIH, 9000 Rockville Pike, Bethesda, MD 20892, USA; (T.J.); (S.J.); (J.S.); (S.C.); (Y.Z.); (L.Z.); (T.C.Z.); (M.S.); (M.M.); (K.C.)
| | - Megan Mackey
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute NIH, 9000 Rockville Pike, Bethesda, MD 20892, USA; (T.J.); (S.J.); (J.S.); (S.C.); (Y.Z.); (L.Z.); (T.C.Z.); (M.S.); (M.M.); (K.C.)
| | - Kevin Camphausen
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute NIH, 9000 Rockville Pike, Bethesda, MD 20892, USA; (T.J.); (S.J.); (J.S.); (S.C.); (Y.Z.); (L.Z.); (T.C.Z.); (M.S.); (M.M.); (K.C.)
| | - Andra V. Krauze
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute NIH, 9000 Rockville Pike, Bethesda, MD 20892, USA; (T.J.); (S.J.); (J.S.); (S.C.); (Y.Z.); (L.Z.); (T.C.Z.); (M.S.); (M.M.); (K.C.)
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Cai X, Qian M, Zhang K, Li Y, Chang B, Chen M. Profiling and Bioinformatics Analyses of Hypoxia-Induced Differential Expression of Long Non-coding RNA in Glioblastoma Multiforme Cells. Biochem Genet 2024; 62:3052-3070. [PMID: 38066404 DOI: 10.1007/s10528-023-10597-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 11/08/2023] [Indexed: 07/31/2024]
Abstract
Hypoxic microenvironments are intricately linked to malignant characteristics of glioblastoma multiforme (GBM). Long non-coding ribonucleic acids (lncRNAs) have been reported to be involved in the progression of GBM and closely associated with hypoxia. Nevertheless, the differential expression profiles as well as functional roles of lncRNAs in GBM cells under hypoxic conditions remain largely obscure. We explored the expression profiles of lncRNAs in hypoxic U87 cells as well as T98G cells using sequencing analysis. The effect of differentially expressed lncRNAs (DElncRNAs) was assessed through bioinformatic analysis. Furthermore, the expression of lncRNAs significantly dysregulated in both U87 and T98G cells was further validated using quantitative reverse-transcription polymerase chain reaction (qRT-PCR). Relevant cell functional experiments were also conducted. We used predicted RNA-binding proteins (RBPs) to construct an interaction network via the interaction prediction module. U87 and T98G cells showed dysregulation of 1115 and 597 lncRNAs, respectively. Gene Ontology (GO) analysis indicated that altered lncRNA expression was associated with nucleotide-excision repair and cell metabolism in GBM cells. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed the association between dysregulated lncRNAs and the Hippo signaling pathway under hypoxia. The dysregulation of six selected lncRNAs (ENST00000371192, uc003tnq.3, ENST00000262952, ENST00000609350, ENST00000610036, and NR_046262) was validated by qRT-PCR. Investigation of lncRNA-microRNA (miRNA)-mRNA networks centered on HIF-1α demonstrated cross-talk between the six validated lncRNAs and 16 related miRNAs. Functional experiments showed the significant inhibition of GBM cell proliferation, invasion, and migration by the knockdown of uc003tnq.3 in vitro. Additionally, uc003tnq.3 was used to construct a comprehensive RBP-transcription factor (TF)-miRNA interaction network. The expression of LncRNAs was dysregulated in GBM cells under hypoxic conditions. The identified six lncRNAs might exert important effect on the development of GBM under hypoxic microenvironment.
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Affiliation(s)
- Xiaomin Cai
- Department of Neurosurgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kong Jiang Road, Yangpu District, Shanghai, 200092, China
| | - Mengshu Qian
- Department of Emergency and Critical Care Medicine, Kong Jiang Hospital of Yangpu District, Shanghai, 200082, China
| | - Kui Zhang
- Department of Plastic Surgery, Xuzhou Medical University Affiliated Xuzhou City Hospital, Xuzhou, 221000, Jiangsu, China
| | - Yanzhen Li
- Department of Neurosurgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kong Jiang Road, Yangpu District, Shanghai, 200092, China
| | - Bowen Chang
- Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, 17 Lu Jiang Road, Luyang District, Hefei, 230001, Anhui, China.
| | - Ming Chen
- Department of Neurosurgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kong Jiang Road, Yangpu District, Shanghai, 200092, China.
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Clavreul A, Guette C, Lasla H, Rousseau A, Blanchet O, Henry C, Boissard A, Cherel M, Jézéquel P, Guillonneau F, Menei P, Lemée JM. Proteomics of tumor and serum samples from isocitrate dehydrogenase-wildtype glioblastoma patients: is the detoxification of reactive oxygen species associated with shorter survival? Mol Oncol 2024. [PMID: 38803161 DOI: 10.1002/1878-0261.13668] [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: 01/16/2024] [Revised: 04/12/2024] [Accepted: 05/10/2024] [Indexed: 05/29/2024] Open
Abstract
Proteomics has been little used for the identification of novel prognostic and/or therapeutic markers in isocitrate dehydrogenase (IDH)-wildtype glioblastoma (GB). In this study, we analyzed 50 tumor and 30 serum samples from short- and long-term survivors of IDH-wildtype GB (STS and LTS, respectively) by data-independent acquisition mass spectrometry (DIA-MS)-based proteomics, with the aim of identifying such markers. DIA-MS identified 5422 and 826 normalized proteins in tumor and serum samples, respectively, with only three tumor proteins and 26 serum proteins displaying significant differential expression between the STS and LTS groups. These dysregulated proteins were principally associated with the detoxification of reactive oxygen species (ROS). In particular, GB patients in the STS group had high serum levels of malate dehydrogenase 1 (MDH1) and ribonuclease inhibitor 1 (RNH1) and low tumor levels of fatty acid-binding protein 7 (FABP7), which may have enabled them to maintain low ROS levels, counteracting the effects of the first-line treatment with radiotherapy plus concomitant and adjuvant temozolomide. A blood score built on the levels of MDH1 and RNH1 expression was found to be an independent prognostic factor for survival based on the serum proteome data for a cohort of 96 IDH-wildtype GB patients. This study highlights the utility of circulating MDH1 and RNH1 biomarkers for determining the prognosis of patients with IDH-wildtype GB. Furthermore, the pathways driven by these biomarkers, and the tumor FABP7 pathway, may constitute promising therapeutic targets for blocking ROS detoxification to overcome resistance to chemoradiotherapy in potential GB STS.
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Affiliation(s)
- Anne Clavreul
- Département de Neurochirurgie, CHU d'Angers, France
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
| | - Catherine Guette
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
- PROT'ICO - Plateforme Oncoprotéomique, Institut de Cancérologie de l'Ouest (ICO), Angers, France
| | - Hamza Lasla
- Omics Data Science Unit, Institut de Cancérologie de l'Ouest (ICO), Nantes, France
- SIRIC ILIAD, Institut de Recherche en Santé, Université de Nantes, France
| | - Audrey Rousseau
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
- Département de Pathologie, CHU d'Angers, France
| | - Odile Blanchet
- Centre de Ressources Biologiques, BB-0033-00038, CHU d'Angers, France
| | - Cécile Henry
- PROT'ICO - Plateforme Oncoprotéomique, Institut de Cancérologie de l'Ouest (ICO), Angers, France
| | - Alice Boissard
- PROT'ICO - Plateforme Oncoprotéomique, Institut de Cancérologie de l'Ouest (ICO), Angers, France
| | - Mathilde Cherel
- Département de Biologie Médicale, Centre Eugène Marquis, Unicancer, Rennes, France
| | - Pascal Jézéquel
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
- Omics Data Science Unit, Institut de Cancérologie de l'Ouest (ICO), Nantes, France
- SIRIC ILIAD, Institut de Recherche en Santé, Université de Nantes, France
| | - François Guillonneau
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
- PROT'ICO - Plateforme Oncoprotéomique, Institut de Cancérologie de l'Ouest (ICO), Angers, France
| | - Philippe Menei
- Département de Neurochirurgie, CHU d'Angers, France
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
| | - Jean-Michel Lemée
- Département de Neurochirurgie, CHU d'Angers, France
- Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, France
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Lin X, Gao W, Huang C, Wu M, She X. Causal relationship between inflammatory proteins and glioblastoma: a two-sample bi‑directional mendelian randomization study. Front Genet 2024; 15:1391921. [PMID: 38784036 PMCID: PMC11111920 DOI: 10.3389/fgene.2024.1391921] [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: 02/27/2024] [Accepted: 04/11/2024] [Indexed: 05/25/2024] Open
Abstract
Background: Observational studies have indicated a potential correlation between glioblastoma and circulating inflammatory proteins. Further investigation is required to establish a causal relationship between these two factors. Methods: We performed a Mendelian randomization (MR) analysis using genome-wide association study (GWAS) summary of 91 circulating inflammation-related proteins (N = 14,824) to assess their causal impact on glioblastoma. The GWAS summary data for glioblastoma included 243 cases and 287,137 controls. The inverse variance weighted (IVW) method was used as the primary analytical method to assess causality. Four additional MR methods [simple mode, MR-Egger, weighted median, and weighted mode] were used to supplement the IVW results. Furthermore, several sensitivity analyses were performed to assess heterogeneity, horizontal pleiotropy, and stability. Reverse MR analysis was also performed. glioblastoma transcriptomic data from The Cancer Genome Atlas (TCGA) were analyzed to validate the findings obtained through MR, while pathway and functional enrichment analyses were conducted to predict the potential underlying mechanisms. Results: Our findings from employing the inverse variance weighted method in our forward MR analysis provide robust evidence supporting a potential association between glioblastoma and elevated levels of Cystatin D, as well as decreased levels of fibroblast growth factor 21 (FGF21) in the circulation. Moreover, our reverse MR analysis revealed that glioblastoma may contribute to increased concentrations of C-X-C motif chemokine 9 (CXCL9) and Interleukin-33 (IL-33) in the bloodstream. Transcriptomic analysis showed that FGF21 expression was inversely associated with the risk of developing glioblastoma, whereas an increased risk was linked to elevated levels of CXCL9 and IL-33. Pathway and functional enrichment analyses suggested that Cystatin D might exert its effects on glioblastoma through intracellular protein transport, whereas FGF21 might affect glioblastoma via glucose response mechanisms. Conclusion: These results indicate that FGF21 is a significant factor in glioblastoma susceptibility. Glioblastoma also affects the expression of inflammatory proteins such as C-X-C motif chemokine 9 and Interleukin-33, providing new insights into the mechanisms of glioblastoma genesis and clinical research.
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Affiliation(s)
- Xiang Lin
- Department of Pathology, The Second Xiangya Hospital, Central South UniversityChangsha, Hunan, China
- Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
- NHC Key Laboratory of Carcinogenesis, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Wei Gao
- Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
- NHC Key Laboratory of Carcinogenesis, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Chen Huang
- Center of Basic Medical Research, Institute of Medical Innovation and Research, Peking University Third Hospital, Beijing, China
| | - Minghua Wu
- Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
- NHC Key Laboratory of Carcinogenesis, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xiaoling She
- Department of Pathology, The Second Xiangya Hospital, Central South UniversityChangsha, Hunan, China
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Tasci E, Shah Y, Jagasia S, Zhuge Y, Shephard J, Johnson MO, Elemento O, Joyce T, Chappidi S, Cooley Zgela T, Sproull M, Mackey M, Camphausen K, Krauze AV. MGMT ProFWise: Unlocking a New Application for Combined Feature Selection and the Rank-Based Weighting Method to Link MGMT Methylation Status to Serum Protein Expression in Patients with Glioblastoma. Int J Mol Sci 2024; 25:4082. [PMID: 38612892 PMCID: PMC11012706 DOI: 10.3390/ijms25074082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 04/02/2024] [Accepted: 04/03/2024] [Indexed: 04/14/2024] Open
Abstract
Glioblastoma (GBM) is a fatal brain tumor with limited treatment options. O6-methylguanine-DNA-methyltransferase (MGMT) promoter methylation status is the central molecular biomarker linked to both the response to temozolomide, the standard chemotherapy drug employed for GBM, and to patient survival. However, MGMT status is captured on tumor tissue which, given the difficulty in acquisition, limits the use of this molecular feature for treatment monitoring. MGMT protein expression levels may offer additional insights into the mechanistic understanding of MGMT but, currently, they correlate poorly to promoter methylation. The difficulty of acquiring tumor tissue for MGMT testing drives the need for non-invasive methods to predict MGMT status. Feature selection aims to identify the most informative features to build accurate and interpretable prediction models. This study explores the new application of a combined feature selection (i.e., LASSO and mRMR) and the rank-based weighting method (i.e., MGMT ProFWise) to non-invasively link MGMT promoter methylation status and serum protein expression in patients with GBM. Our method provides promising results, reducing dimensionality (by more than 95%) when employed on two large-scale proteomic datasets (7k SomaScan® panel and CPTAC) for all our analyses. The computational results indicate that the proposed approach provides 14 shared serum biomarkers that may be helpful for diagnostic, prognostic, and/or predictive operations for GBM-related processes, given further validation.
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Affiliation(s)
- Erdal Tasci
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, 9000 Rockville Pike, Building 10, CRC, Bethesda, MD 20892, USA
| | - Yajas Shah
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Sarisha Jagasia
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, 9000 Rockville Pike, Building 10, CRC, Bethesda, MD 20892, USA
| | - Ying Zhuge
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, 9000 Rockville Pike, Building 10, CRC, Bethesda, MD 20892, USA
| | - Jason Shephard
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, 9000 Rockville Pike, Building 10, CRC, Bethesda, MD 20892, USA
| | - Margaret O. Johnson
- Department of Neurosurgery, Duke University, Durham, NC 27710, USA
- National Tele-Oncology, Veterans Health Administration, Durham, NC 27710, USA
| | - Olivier Elemento
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Thomas Joyce
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, 9000 Rockville Pike, Building 10, CRC, Bethesda, MD 20892, USA
| | - Shreya Chappidi
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, 9000 Rockville Pike, Building 10, CRC, Bethesda, MD 20892, USA
| | - Theresa Cooley Zgela
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, 9000 Rockville Pike, Building 10, CRC, Bethesda, MD 20892, USA
| | - Mary Sproull
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, 9000 Rockville Pike, Building 10, CRC, Bethesda, MD 20892, USA
| | - Megan Mackey
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, 9000 Rockville Pike, Building 10, CRC, Bethesda, MD 20892, USA
| | - Kevin Camphausen
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, 9000 Rockville Pike, Building 10, CRC, Bethesda, MD 20892, USA
| | - Andra Valentina Krauze
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, 9000 Rockville Pike, Building 10, CRC, Bethesda, MD 20892, USA
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Zhao L, Wang Y, Mu P, Zhang X, Qi R, Zhang Y, Zhang H, Zhu X, Dong Z, Dong Y. IGFBP3 induces PD-L1 expression to promote glioblastoma immune evasion. Cancer Cell Int 2024; 24:60. [PMID: 38326861 PMCID: PMC10851611 DOI: 10.1186/s12935-024-03234-3] [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: 11/18/2023] [Accepted: 01/19/2024] [Indexed: 02/09/2024] Open
Abstract
BACKGROUND Glioblastoma (GBM) characterized by immune escape is the most malignant primary brain tumors, which has strong immunosuppressive effect. Programmed death ligand-1 (PD-L1) is a recognized immunosuppressive member on the surface of tumor cells, and plays a crucial role in immune evasion of tumors. Actually, little is known about the regulation of PD-L1 expression in GBM. Insulin-like growth factor binding protein 3 (IGFBP3) is upregulated in GBM and is related to poor patient prognosis. However, it remains unclear whether IGFBP3 plays a role in the regulation of PD-L1 expression in GBM. METHODS The role of IGFBP3 in the glioma immune microenvironment was investigated using the CIBERSORT algorithm. The correlation between IGFBP3 and PD-L1 expression was analyzed using TCGA and CGGA databases. QRT-PCR, immunoblotting and RNA-seq were used to examine the regulatory effect of IGFBP3 on PD-L1 expression. Co-culture assay, cell counting kit (CCK-8), qRT-PCR, ELISA and flow cytometry were performed to explore the function of IGFBP3 in inducing immunosuppression. The biological role of IGFBP3 was verified using immunohistochemical, immunofluorescence and mice orthotopic tumor model. RESULTS In this study, we analyzed immune cells infiltration in gliomas and found that IGFBP3 may be associated with an immunosuppressive microenvironment. Then, by analyzing TCGA and CGGA databases, our results showed that IGFBP3 and PD-L1 expression were positively correlated in GBM patients, but not in LGG patients. In vitro experiments conducted on different GBM cell lines revealed that the overexpression of IGFBP3 led to an increase in PD-L1 expression, which was reversible upon knockdown IGFBP3. Mechanistically, IGFBP3 activated the JAK2/STAT3 signaling pathway, leading to an increase in PD-L1 expression. Additionally, co-culture experiments results showed IGFBP3 overexpression induced upregulation of PD-L1 expression promoted apoptosis in Jurkat cells, and this effect was blocked by IGFBP3 antibody and PDL-1 inhibitors. Importantly, in vivo experiments targeting IGFBP3 suppressed tumor growth and significantly prolonged the survival of mice. CONCLUSIONS This research demonstrated IGFBP3 is a novel regulator for PD-L1 expression in GBM, and identified a new mechanism by which IGFBP3 regulates immune evasion through PD-L1, suggesting that IGFBP3 may be a potential novel target for GBM therapy.
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Affiliation(s)
- Leilei Zhao
- Department of Immunology, Binzhou Medical University, Guanhai Road 346, Yantai, 264003, Shandong, China
| | - Yudi Wang
- Department of Immunology, Binzhou Medical University, Guanhai Road 346, Yantai, 264003, Shandong, China
| | - Peizheng Mu
- School of Computer and Normal Engineering, Yantai University, Qingquan Road 30, Yantai, 264005, Shandong, China
| | - Xuehua Zhang
- Department of Precision Biomedical Laboratory, Liaocheng People's Hospital, Liaocheng, Shandong, China
| | - Ruomei Qi
- Department of Immunology, Binzhou Medical University, Guanhai Road 346, Yantai, 264003, Shandong, China
| | - Yurui Zhang
- Department of Immunology, Binzhou Medical University, Guanhai Road 346, Yantai, 264003, Shandong, China
| | - He Zhang
- Department of Immunology, Qiqihar Medical University, Qiqihar, Heilongjiang, China
| | - Xiao Zhu
- School of Computer and Normal Engineering, Yantai University, Qingquan Road 30, Yantai, 264005, Shandong, China.
| | - Zhouyan Dong
- Department of Pathogenic Biology, Binzhou Medical University, Guanhai Road 346, Yantai, 264003, Shandong, China.
| | - Yucui Dong
- Department of Immunology, Binzhou Medical University, Guanhai Road 346, Yantai, 264003, Shandong, China.
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Al-Gizawiy MM, Wujek RT, Alhajala HS, Cobb JM, Prah MA, Doan NB, Connelly JM, Chitambar CR, Schmainda KM. Potent in vivo efficacy of oral gallium maltolate in treatment-resistant glioblastoma. Front Oncol 2024; 13:1278157. [PMID: 38288102 PMCID: PMC10822938 DOI: 10.3389/fonc.2023.1278157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 12/26/2023] [Indexed: 01/31/2024] Open
Abstract
Background Treatment-resistant glioblastoma (trGBM) is an aggressive brain tumor with a dismal prognosis, underscoring the need for better treatment options. Emerging data indicate that trGBM iron metabolism is an attractive therapeutic target. The novel iron mimetic, gallium maltolate (GaM), inhibits mitochondrial function via iron-dependent and -independent pathways. Methods In vitro irradiated adult GBM U-87 MG cells were tested for cell viability and allowed to reach confluence prior to stereotactic implantation into the right striatum of male and female athymic rats. Advanced MRI at 9.4T was carried out weekly starting two weeks after implantation. Daily oral GaM (50mg/kg) or vehicle were provided on tumor confirmation. Longitudinal MRI parameters were processed for enhancing tumor ROIs in OsiriX 8.5.1 (lite) with Imaging Biometrics Software (Imaging Biometrics LLC). Statistical analyses included Cox proportional hazards regression models, Kaplan-Meier survival plots, linear mixed model comparisons, and t-statistic for slopes comparison as indicator of tumor growth rate. Results In this study we demonstrate non-invasively, using longitudinal MRI surveillance, the potent antineoplastic effects of GaM in a novel rat xenograft model of trGBM, as evidenced by extended suppression of tumor growth (23.56 mm3/week untreated, 5.76 mm3/week treated, P < 0.001), a blunting of tumor perfusion, and a significant survival benefit (median overall survival: 30 days untreated, 56 days treated; P < 0.001). The therapeutic effect was confirmed histologically by the presence of abundant cytotoxic cellular swelling, a significant reduction in proliferation markers (P < 0.01), and vessel normalization characterized by prominent vessel pruning, loss of branching, and uniformity of vessel lumina. Xenograft tumors in the treatment group were further characterized by an absence of an invasive edge and a significant reduction in both, MIB-1% and mitotic index (P < 0.01 each). Transferrin receptor and ferroportin expression in GaM-treated tumors illustrated cellular iron deprivation. Additionally, treatment with GaM decreased the expression of pro-angiogenic markers (von Willebrand Factor and VEGF) and increased the expression of anti-angiogenic markers, such as Angiopoietin-2. Conclusion Monotherapy with the iron-mimetic GaM profoundly inhibits trGBM growth and significantly extends disease-specific survival in vivo.
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Affiliation(s)
- Mona M. Al-Gizawiy
- Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Robert T. Wujek
- Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Hisham S. Alhajala
- Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Jonathan M. Cobb
- Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Melissa A. Prah
- Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Ninh B. Doan
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Jennifer M. Connelly
- Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Christopher R. Chitambar
- Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States
- Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Kathleen M. Schmainda
- Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States
- Department of Radiology, Medical College of Wisconsin, Milwaukee, WI, United States
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8
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Kośliński P, Pluskota R, Koba M, Siedlecki Z, Śniegocki M. Comparative Analysis of Amino Acid Profiles in Patients with Glioblastoma and Meningioma Using Liquid Chromatography Electrospray Ionization Tandem Mass Spectrometry (LC-ESI-MS/MS). Molecules 2023; 28:7699. [PMID: 38067430 PMCID: PMC10707850 DOI: 10.3390/molecules28237699] [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: 10/04/2023] [Revised: 11/20/2023] [Accepted: 11/21/2023] [Indexed: 12/18/2023] Open
Abstract
Brain tumors account for 1% of all cancers diagnosed de novo. Due to the specificity of the anatomical area in which they grow, they can cause significant neurological disorders and lead to poor functional status and disability. Regardless of the results of biochemical markers of intracranial neoplasms, they are currently of no diagnostic significance. The aim of the study was to use LC-ESI-MS/MS in conjunction with multivariate statistical analyses to examine changes in amino acid metabolic profiles between patients with glioblastoma, meningioma, and a group of patients treated for osteoarthritis of the spine as a control group. Comparative analysis of amino acids between patients with glioblastoma, meningioma, and the control group allowed for the identification of statistically significant differences in the amino acid profile, including both exogenous and endogenous amino acids. The amino acids that showed statistically significant differences (lysine, histidine, α-aminoadipic acid, phenylalanine) were evaluated for diagnostic usefulness based on the ROC curve. The best results were obtained for phenylalanine. Classification trees were used to build a model allowing for the correct classification of patients into the study group (patients with glioblastoma multiforme) and the control group, in which cysteine turned out to be the most important amino acid in the decision-making algorithm. Our results indicate amino acids that may prove valuable, used alone or in combination, toward improving the diagnosis of patients with glioma and meningioma. To better assess the potential utility of these markers, their performance requires further validation in a larger cohort of samples.
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Affiliation(s)
- Piotr Kośliński
- Department of Toxicology and Bromatology, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, dr. A. Jurasza 2, 85-089 Bydgoszcz, Poland; (R.P.); (M.K.)
| | - Robert Pluskota
- Department of Toxicology and Bromatology, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, dr. A. Jurasza 2, 85-089 Bydgoszcz, Poland; (R.P.); (M.K.)
| | - Marcin Koba
- Department of Toxicology and Bromatology, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, dr. A. Jurasza 2, 85-089 Bydgoszcz, Poland; (R.P.); (M.K.)
| | - Zygmunt Siedlecki
- Department of Neurosurgery, Neurotraumatology and Pediatric Neurosurgery, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 85-094 Bydgoszcz, Poland; (Z.S.); (M.Ś.)
| | - Maciej Śniegocki
- Department of Neurosurgery, Neurotraumatology and Pediatric Neurosurgery, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 85-094 Bydgoszcz, Poland; (Z.S.); (M.Ś.)
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9
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Premachandran S, Haldavnekar R, Ganesh S, Das S, Venkatakrishnan K, Tan B. Self-Functionalized Superlattice Nanosensor Enables Glioblastoma Diagnosis Using Liquid Biopsy. ACS NANO 2023; 17:19832-19852. [PMID: 37824714 DOI: 10.1021/acsnano.3c04118] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Abstract
Glioblastoma (GBM), the most aggressive and lethal brain cancer, is detected only in the advanced stage, resulting in a median survival rate of 15 months. Therefore, there is an urgent need to establish GBM diagnosis tools to identify the tumor accurately. The clinical relevance of the current liquid biopsy techniques for GBM diagnosis remains mostly undetermined, owing to the challenges posed by the blood-brain barrier (BBB) that restricts biomarkers entering the circulation, resulting in the unavailability of clinically validated circulating GBM markers. GBM-specific liquid biopsy for diagnosis and prognosis of GBM has not yet been developed. Here, we introduce extracellular vesicles of GBM cancer stem cells (GBM CSC-EVs) as a previously unattempted, stand-alone GBM diagnosis modality. As GBM CSCs are fundamental building blocks of tumor initiation and recurrence, it is desirable to investigate these reliable signals of malignancy in circulation for accurate GBM diagnosis. So far, there are no clinically validated circulating biomarkers available for GBM. Therefore, a marker-free approach was essential since conventional liquid biopsy relying on isolation methodology was not viable. Additionally, a mechanism capable of trace-level detection was crucial to detecting the rare GBM CSC-EVs from the complex environment in circulation. To break these barriers, we applied an ultrasensitive superlattice sensor, self-functionalized for surface-enhanced Raman scattering (SERS), to obtain holistic molecular profiling of GBM CSC-EVs with a marker-free approach. The superlattice sensor exhibited substantial SERS enhancement and ultralow limit of detection (LOD of attomolar 10-18 M concentration) essential for trace-level detection of invisible GBM CSC-EVs directly from patient serum (without isolation). We detected as low as 5 EVs in 5 μL of solution, achieving the lowest LOD compared to existing SERS-based studies. We have experimentally demonstrated the crucial role of the signals of GBM CSC-EVs in the precise detection of glioblastoma. This was evident from the unique molecular profiles of GBM CSC-EVs demonstrating significant variation compared to noncancer EVs and EVs of GBM cancer cells, thus adding more clarity to the current understanding of GBM CSC-EVs. Preliminary validation of our approach was undertaken with a small amount of peripheral blood (5 μL) derived from GBM patients with 100% sensitivity and 97% specificity. Identification of the signals of GBM CSC-EV in clinical sera specimens demonstrated that our technology could be used for accurate GBM detection. Our technology has the potential to improve GBM liquid biopsy, including real-time surveillance of GBM evolution in patients upon clinical validation. This demonstration of liquid biopsy with GBM CSC-EV provides an opportunity to introduce a paradigm potentially impacting the current landscape of GBM diagnosis.
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Affiliation(s)
- Srilakshmi Premachandran
- Institute for Biomedical Engineering, Science and Technology (I BEST), Partnership between Toronto Metropolitan University (formerly Ryerson University) and St. Michael's Hospital, Toronto, Ontario M5B 1W8, Canada
- Ultrashort Laser Nanomanufacturing Research Facility, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University (formerly Ryerson University), 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
- Nano Characterization Laboratory, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University (formerly Ryerson University), 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
- Nano-Bio Interface facility, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University (formerly Ryerson University), 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
| | - Rupa Haldavnekar
- Institute for Biomedical Engineering, Science and Technology (I BEST), Partnership between Toronto Metropolitan University (formerly Ryerson University) and St. Michael's Hospital, Toronto, Ontario M5B 1W8, Canada
- Ultrashort Laser Nanomanufacturing Research Facility, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University (formerly Ryerson University), 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
- Nano Characterization Laboratory, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University (formerly Ryerson University), 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
- Nano-Bio Interface facility, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University (formerly Ryerson University), 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
| | - Swarna Ganesh
- Institute for Biomedical Engineering, Science and Technology (I BEST), Partnership between Toronto Metropolitan University (formerly Ryerson University) and St. Michael's Hospital, Toronto, Ontario M5B 1W8, Canada
- Ultrashort Laser Nanomanufacturing Research Facility, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University (formerly Ryerson University), 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
- Nano Characterization Laboratory, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University (formerly Ryerson University), 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
- Nano-Bio Interface facility, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University (formerly Ryerson University), 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
| | - Sunit Das
- Scientist, St. Michael's Hospital, Toronto, Ontario M5B 1W8, Canada
- Institute of Medical Sciences, Neurosurgery, University of Toronto, Toronto, Ontario M5T 1P5, Canada
| | - Krishnan Venkatakrishnan
- Keenan Research Center for Biomedical Science, Unity Health Toronto, Toronto, Ontario M5B 1W8, Canada
- Institute for Biomedical Engineering, Science and Technology (I BEST), Partnership between Toronto Metropolitan University (formerly Ryerson University) and St. Michael's Hospital, Toronto, Ontario M5B 1W8, Canada
- Ultrashort Laser Nanomanufacturing Research Facility, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University (formerly Ryerson University), 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
- Nano-Bio Interface facility, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University (formerly Ryerson University), 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
| | - Bo Tan
- Keenan Research Center for Biomedical Science, Unity Health Toronto, Toronto, Ontario M5B 1W8, Canada
- Institute for Biomedical Engineering, Science and Technology (I BEST), Partnership between Toronto Metropolitan University (formerly Ryerson University) and St. Michael's Hospital, Toronto, Ontario M5B 1W8, Canada
- Nano Characterization Laboratory, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University (formerly Ryerson University), 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
- Nano-Bio Interface facility, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University (formerly Ryerson University), 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
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10
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Alves B, Peixoto J, Macedo S, Pinheiro J, Carvalho B, Soares P, Lima J, Lima RT. High VEGFA Expression Is Associated with Improved Progression-Free Survival after Bevacizumab Treatment in Recurrent Glioblastoma. Cancers (Basel) 2023; 15:cancers15082196. [PMID: 37190125 DOI: 10.3390/cancers15082196] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 03/28/2023] [Accepted: 04/03/2023] [Indexed: 05/17/2023] Open
Abstract
Glioblastoma (GB) is one of the deadliest human cancers. Many GB patients do not respond to treatment, and inevitably die within a median of 15-18 months post-diagnosis, highlighting the need for reliable biomarkers to aid clinical management and treatment evaluation. The GB microenvironment holds tremendous potential as a source of biomarkers; several proteins such as MMP-2, MMP-9, YKL40, and VEGFA have been identified as being differentially expressed in GB patient samples. Still to date, none of these proteins have been translated into relevant clinical biomarkers. This study evaluated the expression of MMP-2, MMP-9, YKL40, and VEGFA in a series of GBs and their impact on patient outcome. High levels of VEGFA expression were significantly associated with improved progression-free survival after bevacizumab treatment, thus having potential as a tissue biomarker for predicting patients' response to bevacizumab. Noteworthily, VEGFA expression was not associated with patient outcome after temozolomide treatment. To a lesser extent, YKL40 also provided significant information regarding the extent of bevacizumab treatment. This study highlights the importance of studying secretome-associated proteins as GB biomarkers and identifies VEGFA as a promising marker for predicting response to bevacizumab.
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Affiliation(s)
- Bárbara Alves
- i3S-Instituto de Investigação e Inovação em Saúde, 4200 Porto, Portugal
- Cancer Signalling & Metabolism Group, IPATIMUP, Institute of Molecular Pathology and Immunology of the University of Porto, 4200 Porto, Portugal
- School of Allied Health Sciences, Polytechnic Institute of Porto, 4200 Porto, Portugal
| | - Joana Peixoto
- i3S-Instituto de Investigação e Inovação em Saúde, 4200 Porto, Portugal
- Cancer Signalling & Metabolism Group, IPATIMUP, Institute of Molecular Pathology and Immunology of the University of Porto, 4200 Porto, Portugal
| | - Sofia Macedo
- i3S-Instituto de Investigação e Inovação em Saúde, 4200 Porto, Portugal
- Cancer Signalling & Metabolism Group, IPATIMUP, Institute of Molecular Pathology and Immunology of the University of Porto, 4200 Porto, Portugal
| | - Jorge Pinheiro
- Department of Pathology, Centro Hospitalar Universitário S. João, 4200 Porto, Portugal
| | - Bruno Carvalho
- Department of Neurosurgery, Centro Hospitalar Universitário S. João, 4200 Porto, Portugal
- FMUP-Faculty of Medicine of the University of Porto, 4200 Porto, Portugal
| | - Paula Soares
- i3S-Instituto de Investigação e Inovação em Saúde, 4200 Porto, Portugal
- Cancer Signalling & Metabolism Group, IPATIMUP, Institute of Molecular Pathology and Immunology of the University of Porto, 4200 Porto, Portugal
- Department of Pathology, FMUP-Faculty of Medicine of the University of Porto, 4200 Porto, Portugal
| | - Jorge Lima
- i3S-Instituto de Investigação e Inovação em Saúde, 4200 Porto, Portugal
- Cancer Signalling & Metabolism Group, IPATIMUP, Institute of Molecular Pathology and Immunology of the University of Porto, 4200 Porto, Portugal
- Department of Pathology, FMUP-Faculty of Medicine of the University of Porto, 4200 Porto, Portugal
| | - Raquel T Lima
- i3S-Instituto de Investigação e Inovação em Saúde, 4200 Porto, Portugal
- Cancer Signalling & Metabolism Group, IPATIMUP, Institute of Molecular Pathology and Immunology of the University of Porto, 4200 Porto, Portugal
- Department of Pathology, FMUP-Faculty of Medicine of the University of Porto, 4200 Porto, Portugal
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11
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MMP-9 as Prognostic Marker for Brain Tumours: A Comparative Study on Serum-Derived Small Extracellular Vesicles. Cancers (Basel) 2023; 15:cancers15030712. [PMID: 36765669 PMCID: PMC9913777 DOI: 10.3390/cancers15030712] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/15/2023] [Accepted: 01/21/2023] [Indexed: 01/27/2023] Open
Abstract
Matrix metalloproteinase-9 (MMP-9) degrades the extracellular matrix, contributes to tumour cell invasion and metastasis, and its elevated level in brain tumour tissues indicates poor prognosis. High-risk tissue biopsy can be replaced by liquid biopsy; however, the blood-brain barrier (BBB) prevents tumour-associated components from entering the peripheral blood, making the development of blood-based biomarkers challenging. Therefore, we examined the MMP-9 content of small extracellular vesicles (sEVs)-which can cross the BBB and are stable in body fluids-to characterise tumours with different invasion capacity. From four patient groups (glioblastoma multiforme, brain metastases of lung cancer, meningioma, and lumbar disc herniation as controls), 222 serum-derived sEV samples were evaluated. After isolating and characterising sEVs, their MMP-9 content was measured by ELISA and assessed statistically (correlation, paired t-test, Welch's test, ANOVA, ROC). We found that the MMP-9 content of sEVs is independent of gender and age, but is affected by surgical intervention, treatment, and recurrence. We found a relation between low MMP-9 level in sEVs (<28 ppm) and improved survival (8-month advantage) of glioblastoma patients, and MMP-9 levels showed a positive correlation with aggressiveness. These findings suggest that vesicular MMP-9 level might be a useful prognostic marker for brain tumours.
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12
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Trivedi T, Panchal K, Bhalala N, Trivedi P. Prognostic significance of STAT3 gene expression in patients with glioblastoma tumors: a study from Western India. J Egypt Natl Canc Inst 2022; 34:30. [DOI: 10.1186/s43046-022-00133-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 06/01/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Objective
Glioblastoma Multiforme (GBM), a devastating the most common primary malignant intracranial brain tumors. In India, the incidence of this malignancy is escalating, however, there are very few studies on this tumor entity from Indian population. The present study sought to investigate the prevalence and prognostic significance of Signal Transducer and Activator of Transcription 3 (STAT3) gene expression in GBM patients from Western India.
Method
STAT3 gene expression using real-time PCR was detected in total 55 GBM patients. The impact of STAT3 aberrant expression on progression-free survival (PFS) and overall (OS) was analysed using univariate and multivariate survival analysis. The data were analysed using SPSS statistical software and p value ≤0.05 was considered as significant.
Results
The aberrant STAT3 expression was found in 85% (47/55) of patients with -1.12 fold change down-regulation in 49% (23/47) and 3.36 fold change up-regulation was noted in 51% (24/47) of patients. In wild type IDH tumors (n=30), down regulation and up regulation of STAT3 was noted in 63% and 27% of patients, respectively, whereas, for IDH mutant GBM tumors (n=25), the incidence of low expression and high expression of STAT3 was noted in 16% and 68% of patients, respectively. Thus, we found that incidence of STAT3 down regulation was significantly high in patients with IDH wild type tumors, whereas, in IDH mutant GBM tumors, the incidence of up-regulated STAT3 was significantly high (P=0.021, χ2=12.81, r=+0.310). In Kaplan-Meier univariate survival analysis, a part from age (P=0.006), tumor location (P=0.025), and KPS score (P=0.002), co-detection of STAT3 up regulation and presence of IDH mutation (P=0.030) remained significant prognostic factors for PFS and OS. In multivariate survival analysis also, co-detection of STAT3 high expression and presence of IDH mutation remained independent prognosticators for PFS (HR=6.45, 95% CI=1.32-31.40, P=0.021) and OS (HR=8.69, 95% CI=1.66-45.51, P=0.010).
Conclusion
For GBM tumors, STAT3 up-regulation and presence of IDH mutations together predicts better survival. This reflects unique molecular etiology for GBM patients. Therefore, they would be useful in the future for targeted therapy and for clinicians they would be useful for better patient management. However, study on a larger sample size is required for validation.
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Xu W, Huang L, Xie B, Yang B. Serum microRNA-4297 is a sex-specific predictive biomarker of glioma grade and prognosis. Front Neurol 2022; 13:888221. [PMID: 35968285 PMCID: PMC9363699 DOI: 10.3389/fneur.2022.888221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 07/04/2022] [Indexed: 11/25/2022] Open
Abstract
Background Gliomas account for nearly 80% of brain cancers, tending to occur more frequently in men with adverse outcomes. Emerging microRNAs have been positioned as promising predictors for glioma's histological grade and prognosis. However, there have been few studies concerning the sex-biased impacts on the clinical approach for the potential microRNA-4297 (miR-4297). Methods We utilized GSE139031micro-RNAs profiling to analyze serum miR-4297 expression in glioma. A total of 114 newly diagnosed glioma patients at the First Affiliated Hospital of Fujian Medical University from January 2017 to February 2021 were recruited and prospectively followed up. The association of miR-4297 levels with glioma grade and prognosis was investigated. Luciferase reporter gene assays and genotype analyses were carried out to explore the potential mechanism of sexually dimorphic miR-4297 in glioma. Results Serum miR-4297 levels were notably down-regulated in glioma. Besides, serum miR-4297 levels were positively associated with the high grades, which were exclusively present for females. The positive correlations of miR-4297 with O6-methylguanine-DNA methyltransferase (MGMT) protein and mean platelet volume were also observed in females. IDH-mutant females had decreased miR-4297. Median PFS time for females with miR-4297 ≥ 1.392 was distinctly shorter than those with miR-4297 <1.392 (12.3 months vs. 42.89 months, p = 0.0289). Based on multivariate logistic regression, miR-4297-based equation model was established as FHGRS. AU-ROC analysis revealed FHGRS exhibited a robust performance in predicting high-grade glioma in females (p < 0.001), whereas there was no such relationship in males. Furthermore, the MGMT-3'UTR variant rs7896488 in the specific binding region of miR-4297 was correlated with prognosis. Conclusion Our study uncovers sex-dependent characterization of serum miR-4297 in predicting glioma grade and the relapse risk for female patients, which underscores the clinical benefits of sex-specific analysis in non-coding RNA research.
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Affiliation(s)
- Wenshen Xu
- Department of Laboratory Medicine, Gene Diagnosis Research Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Key Laboratory of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Liming Huang
- Department of Oncology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Molecular Oncology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Bingsen Xie
- Department of Neurosurgery, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Neurosurgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Institute of Neurology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Bin Yang
- Department of Laboratory Medicine, Gene Diagnosis Research Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Key Laboratory of Laboratory Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- *Correspondence: Bin Yang
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Ishwar D, Haldavnekar R, Das S, Tan B, Venkatakrishnan K. Glioblastoma Associated Natural Killer Cell EVs Generating Tumour-Specific Signatures: Noninvasive GBM Liquid Biopsy with Self-Functionalized Quantum Probes. ACS NANO 2022; 16:10859-10877. [PMID: 35816089 DOI: 10.1021/acsnano.2c03055] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Diagnosis of glioblastoma (GBM) poses a recurring struggle due to many factors, including the presence of the blood-brain barrier (BBB) in addition to the significant tumor heterogeneity. Natural killer (NK) cells of the innate immune system are the primary immune surveillance mechanism for GBM and identify GBM tumors without any previous sensitization. The metabolic reprogramming of NK cells during GBM association is expected to be reflected in its extracellular vesicles. Therefore, tracking the activity of NK cell vesicles in circulation (circulating immune vesicles, CIVs) has great potential for accurate GBM diagnosis. However, identification GBM associated CIVs in circulation is immensely challenging as there is no availability of clinically validated GBM-specific circulating biomarkers. Here, we present GBM associated CIV profiling for noninvasive GBM diagnosis. We investigated the feasibility of using the signals derived from GBM associated CIVs as a de novo methodology for GBM diagnosis. An ultrasensitive sensor and a marker-free approach were essential for the detection of rare signals of GBM associated CIVs. For this purpose, we designed GBM ImmunoProfiler platform using scalable ultrafast laser multiphoton ionization mechanism and adopted surface enhanced Raman spectroscopy (SERS) ensuring simultaneous detection of multiple CIV signals to identify GBM. We experimentally demonstrated that GBM associated CIVs carry unique, tumor-specific signals. The features of GBM associated CIVs were explored through machine learning identifying its similarity with GBM patient blood (without cell isolation) using a very small amount of peripheral blood (5 μL) with 96.82% sensitivity and 100% specificity. In addition, we demonstrated that a tumor associated CIV profile can classify between multiple brain cancer types (astrocytoma, oligodendroglioma, and glioblastoma). We also experimentally demonstrated significant variation in the immune checkpoint protein expression (PDL-1 and CTLA-4) between GBM associated CIVs and uninteracted CIVs. Preclinical analysis with serum specimens of GBM patients showed the possibility of using our technology for minimally invasive GBM diagnosis. With clinical validation, our technology has potential to improve GBM diagnostics with a useful, minimally invasive GBM liquid biopsy.
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Affiliation(s)
- Deeptha Ishwar
- Institute for Biomedical Engineering, Science and Technology (iBEST), Partnership between Toronto Metropolitan University and St. Michael's Hospital, Toronto, Ontario M5B 1W8, Canada
- Ultrashort Laser Nanomanufacturing Research Facility, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada
- Nano Characterization Laboratory, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University, 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
- Nano-Bio Interface Facility, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada
| | - Rupa Haldavnekar
- Institute for Biomedical Engineering, Science and Technology (iBEST), Partnership between Toronto Metropolitan University and St. Michael's Hospital, Toronto, Ontario M5B 1W8, Canada
- Ultrashort Laser Nanomanufacturing Research Facility, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada
- Nano Characterization Laboratory, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University, 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
- Nano-Bio Interface Facility, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada
| | - Sunit Das
- Department of Surgery, Division of Neurosurgery, University of Toronto, 30 Bond Street, Toronto, M5B1W8, Canada
| | - Bo Tan
- Keenan Research Centre for Biomedical Science, Unity Health Toronto, Toronto, Ontario M5B 1W8, Canada
- Institute for Biomedical Engineering, Science and Technology (iBEST), Partnership between Toronto Metropolitan University and St. Michael's Hospital, Toronto, Ontario M5B 1W8, Canada
- Nano Characterization Laboratory, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University, 350 Victoria Street, Toronto, Ontario M5B 2K3, Canada
- Nano-Bio Interface Facility, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada
| | - Krishnan Venkatakrishnan
- Keenan Research Centre for Biomedical Science, Unity Health Toronto, Toronto, Ontario M5B 1W8, Canada
- Institute for Biomedical Engineering, Science and Technology (iBEST), Partnership between Toronto Metropolitan University and St. Michael's Hospital, Toronto, Ontario M5B 1W8, Canada
- Ultrashort Laser Nanomanufacturing Research Facility, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada
- Nano-Bio Interface Facility, Faculty of Engineering and Architectural Sciences, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada
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15
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Comprehensive Analysis of Prognostic Value and Immune Infiltration of IGFBP Family Members in Glioblastoma. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:2929695. [PMID: 35832140 PMCID: PMC9273392 DOI: 10.1155/2022/2929695] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 05/25/2022] [Accepted: 06/15/2022] [Indexed: 11/18/2022]
Abstract
Glioblastoma (GBM) is the most common primary malignant brain tumor in adults. The insulin-like growth factor-binding protein (IGFBP) family is involved in tumorigenesis and the development of multiple cancers. However, little is known about the prognostic value and regulatory mechanisms of IGFBPs in GBM. Oncomine, Gene Expression Profiling Interactive Analysis, PrognoScan, cBioPortal, LinkedOmics, TIMER, and TISIDB were used to analyze the differential expression, prognostic value, genetic alteration, biological function, and immune cell infiltration of IGFBPs in GBM. We observed that IGFBP1, IGFBP2, IGFBP3, IGFBP4, and IGFBP5 mRNA expression was significantly upregulated in patients with GBM, whereas IGFBP6 was downregulated; this difference in mRNA expression was statistically insignificant. Subsequent investigations showed that IGFBP4 and IGFBP6 mRNA levels were significantly associated with overall survival in patients with GBM. Functional Gene Ontology Annotation and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis revealed that genes coexpressed with IGFBP4 and IGFBP6 were mainly enriched in immune-related pathways. These results were validated using the TIMER and TSMIDB databases. This study demonstrated that the IGFBP family has prognostic value in patients with GBM. IGFBP4 and IGFBP6 are two members of the IGFBP family that had the highest prognostic value; thus, they have the potential to serve as survival predictors and immunotherapeutic targets in GBM.
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16
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Soldatelli JS, Oliveira IMDE, Kneubil MC, Henriques JAP. Gliomas molecular markers: importance in treatment, prognosis and applicability in brazilian health system. AN ACAD BRAS CIENC 2022; 94:e20211075. [PMID: 35766600 DOI: 10.1590/0001-3765202220211075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 11/07/2021] [Indexed: 11/22/2022] Open
Abstract
Gliomas represent 80% of all primary malignant brain tumors in adults. In view of this public health problem, the early detection through sensitive and specific molecular tumor markers analysis can help to improve gliomas diagnosis and prognosis as well as their staging, assessment of therapeutic response and detection of recurrence. Therefore, this review focuses in current gliomas tumor markers, IDH-1/2, 1p/19q, MGMT, ATRX, TERT, H3, EGFR, BRAF and Ki67 used in clinic worldwide and their importance to early detection, glioma histological and molecular classification as well as in predicting patient's therapeutic response. In addition, we present what are the steps in the requesting process for this type of examination in the Brazilian Public Health System (SUS) scope, which attends most of the Brazilian population. Thereby, this article is useful in demonstrating which markers are used in the clinical practice for glioma patients and can be performed in the SUS through partnerships/agreements between specialized health centers and clinical analysis laboratories. It is hoped that this work clarifies, the necessary subsidies to carry out the research of tumor markers in all institutions that serve SUS users, providing a service with equal conditions.
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Affiliation(s)
- Jéssica S Soldatelli
- Universidade Federal do Rio Grande do Sul, UFRGS, Instituto de Biociências, Departamento de Biofísica, Av. Bento Gonçalves, 9500, Agronomia, 91501-970 Porto Alegre, RS, Brazil
| | - Iuri M DE Oliveira
- Universidade Federal do Rio Grande do Sul, UFRGS, Instituto de Biociências, Departamento de Biofísica, Av. Bento Gonçalves, 9500, Agronomia, 91501-970 Porto Alegre, RS, Brazil
| | - Maximiliano C Kneubil
- Universidade de Caxias do Sul, UCS, Instituto de Biotecnologia/Divisão de Cirurgia de Mama, Hospital Geral, Rua Francisco Getúlio Vargas, 1130, Petrópolis 95070-560 Caxias do Sul, RS, Brazil
| | - João Antonio P Henriques
- Universidade Federal do Rio Grande do Sul, UFRGS, Instituto de Biociências, Departamento de Biofísica, Av. Bento Gonçalves, 9500, Agronomia, 91501-970 Porto Alegre, RS, Brazil.,Universidade do Vale do Taquari, UNIVATES, Programa de Pós Graduação em Biotecnologia e em Ciências Médicas, Av. Avelino Talini, 171, Universitáriom 95914-014 Lajeado, RS, Brazil
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17
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Eldesouki S, Samara KA, Qadri R, Obaideen AA, Otour AH, Habbal O, Bm Ahmed S. XIST in Brain Cancer. Clin Chim Acta 2022; 531:283-290. [PMID: 35483442 DOI: 10.1016/j.cca.2022.04.993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 04/18/2022] [Accepted: 04/21/2022] [Indexed: 11/16/2022]
Abstract
Long non-coding RNAs (lncRNAs) make up the majority of the human genome. They are a group of small RNA molecules that do not code for any proteins but play a primary role in regulating a variety of physiological and pathological processes. X-inactive specific transcript (XIST), one of the first lncRNAs to be discovered, is chiefly responsible for X chromosome inactivation: an evolutionary process of dosage compensation between the sex chromosomes of males and females. Recent studies show that XIST plays a pathophysiological role in the development and prognosis of brain tumors, a heterogeneous group of neoplasms that cause significant morbidity and mortality. In this review, we explore recent advancements in the role of XIST in migration, proliferation, angiogenesis, chemoresistance, and evasion of apoptosis in different types of brain tumors, with particular emphasis on gliomas.
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Affiliation(s)
| | - Kamel A Samara
- College of Medicine, University of Sharjah, Sharjah, UAE
| | - Rama Qadri
- College of Medicine, University of Sharjah, Sharjah, UAE
| | | | - Ahmad H Otour
- College of Medicine, University of Sharjah, Sharjah, UAE
| | - Omar Habbal
- College of Medicine, University of Sharjah, Sharjah, UAE
| | - Samrein Bm Ahmed
- College of Medicine, University of Sharjah, Sharjah, UAE; College of Health and Wellbeing and Life sciences, Department of Biosciences and chemistry, Sheffield Hallam University, UK
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18
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Mensali N, Inderberg EM. Emerging Biomarkers for Immunotherapy in Glioblastoma. Cancers (Basel) 2022; 14:1940. [PMID: 35454848 PMCID: PMC9024739 DOI: 10.3390/cancers14081940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 04/02/2022] [Accepted: 04/09/2022] [Indexed: 12/02/2022] Open
Abstract
Immunotherapy has shown clinical benefits in several solid malignancies-in particular, melanoma and non-small cell lung cancer. However, in other solid tumours such as glioblastoma (GBM), the response to immunotherapy has been more variable, and except for anti-PD-1 for patients with microsatellite instable (MSI)+ cancers, no immunotherapy is currently approved for GBM patients. GBM is the most common and most aggressive brain cancer with a very poor prognosis and a median overall survival of 15 months. A few prognostic biomarkers have been identified and are used to some extent, but apart from MSI, no biomarkers are used for patient stratification for treatments other than the standard of care, which was established 15 years ago. Around 25% of new treatments investigated in GBM are immunotherapies. Recent studies indicate that the use of integrated and validated immune correlates predicting the response and guiding treatments could improve the efficacy of immunotherapy in GBM. In this review, we will give an overview of the current status of immunotherapy and biomarkers in use in GBM with the main challenges of treatment in this disease. We will also discuss emerging biomarkers that could be used in future immunotherapy strategies for patient stratification and potentially improved treatment efficacy.
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Affiliation(s)
| | - Else Marit Inderberg
- Translational Research Unit, Department of Cellular Therapy, Oslo University Hospital, 0379 Oslo, Norway;
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19
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Bona NP, Soares MSP, Pedra NS, Spohr L, da Silva Dos Santos F, de Farias AS, Alvez FL, de Moraes Meine B, Luduvico KP, Spanevello RM, Stefanello FM. Tannic Acid Attenuates Peripheral and Brain Changes in a Preclinical Rat Model of Glioblastoma by Modulating Oxidative Stress and Purinergic Signaling. Neurochem Res 2022; 47:1541-1552. [PMID: 35178643 DOI: 10.1007/s11064-022-03547-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 01/18/2022] [Accepted: 02/02/2022] [Indexed: 01/23/2023]
Abstract
Glioblastoma (GB) is a highly aggressive and invasive brain tumor; its treatment remains palliative. Tannic acid (TA) is a polyphenol widely found in foods and possesses antitumor and neuroprotective activities. This study aimed to investigate the effect of TA on oxidative stress parameters and the activity of ectonucleotidases in the serum, platelets, and lymphocytes and/or in the brain of rats with preclinical GB. Rats with GB were treated intragastrically with TA (50 mg/kg/day) for 15 days or with a vehicle. In the platelets of the animals with glioma, the adenosine triphosphate (ATP) and adenosine monophosphate (AMP) hydrolysis and the catalase (CAT) activity decreased. Besides, the adenosine diphosphate (ADP) hydrolysis, adenosine (Ado) deamination, and the reactive oxygen species (ROS) and nitrite levels were increased in glioma animals; however, TA reversed ROS and nitrite levels and AMP hydrolysis alterations. In lymphocytes from animals with glioma, the ATP and ADP hydrolysis, as well as Ado deamination were increased; TA treatment countered this increase. In the brain of the animals with glioma, the ROS, nitrite, and thiobarbituric acid reactive substance (TBARS) levels increased and the thiol (SH) levels and CAT and superoxide dismutase (SOD) activities were decreased; TA treatment decreased the ROS and TBARS levels and restored the SOD activity. In the serum of the animals with glioma, the ATP hydrolysis decreased; TA treatment restored this parameter. Additionally, the ROS levels increased and the SH and SOD activity decreased by glioma implant; TA treatment enhanced nitrite levels and reversed SOD activity. Altogether, our results suggest that TA is an important target in the treatment of GB, as it modulates purinergic and redox systems.
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Affiliation(s)
- Natália Pontes Bona
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Biomarcadores, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, CEP: 96010-900, Brazil
| | - Mayara Sandrielly Pereira Soares
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Neuroquímica, Inflamação e Câncer, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, Brazil
| | - Nathalia Stark Pedra
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Neuroquímica, Inflamação e Câncer, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, Brazil
| | - Luiza Spohr
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Neuroquímica, Inflamação e Câncer, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, Brazil
| | - Francieli da Silva Dos Santos
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Biomarcadores, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, CEP: 96010-900, Brazil
| | - Alana Seixas de Farias
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Biomarcadores, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, CEP: 96010-900, Brazil
| | - Fernando Lopez Alvez
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Neuroquímica, Inflamação e Câncer, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, Brazil
| | - Bernardo de Moraes Meine
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Biomarcadores, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, CEP: 96010-900, Brazil
| | - Karina Pereira Luduvico
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Biomarcadores, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, CEP: 96010-900, Brazil
| | - Roselia Maria Spanevello
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Neuroquímica, Inflamação e Câncer, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, Brazil
| | - Francieli Moro Stefanello
- Programa de Pós-Graduação em Bioquímica e Bioprospecção, Laboratório de Biomarcadores, Centro de Ciências Químicas, Farmacêuticas e de Alimentos, Universidade Federal de Pelotas, Campus Universitário S/N, Pelotas, RS, CEP: 96010-900, Brazil.
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20
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Małek A, Kocot J, Mitrowska K, Posyniak A, Kurzepa J. Bee Venom Effect on Glioblastoma Cells Viability and Gelatinase Secretion. Front Neurosci 2022; 16:792970. [PMID: 35221898 PMCID: PMC8873382 DOI: 10.3389/fnins.2022.792970] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 01/24/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundThe involvement of MMP-2 and MMP-9 in the pathogenesis of various kinds of cancers including glioblastoma is well documented. The evaluation of the anticancer potential of honey bee (Apis mellifera) venom (BV) consisting of the inhibition of MMP-2 and MMP-9 secretion in a glioblastoma cell culture model was the aim of the study.Methods8-MG-BA and GAMG human primary glioblastoma cell lines vs. HT-22 mouse hippocampal neuronal cells were applied for the study. The BV dose (0.5, 1.0, 1.25, 1.5, 1.75, 2.0, 2.5, and 5.0 μg/ml) and time-dependent (24, 48, 72 h) cytotoxicity was evaluated with the tetrazolium-based colorimetric assay (MTT test). MMP-2 and MMP-9 activities in the cell culture medium under different BV concentrations were determined by gelatin zymography.ResultsA dose and time-dependent BV effect on cytotoxicity of both glioblastoma cell lines and hippocampus line was observed. The weakest, but statistically important effect was exerted by BV on HT-22 cells. The greatest cytotoxic effect of BV was observed on the 8-MG-BA line, where a statistically significant reduction in viability was observed at the lowest BV dose and the shortest incubation time. The reduction of both gelatinases secretion was observed at 8-MG-BA and GAMG lines without significant effect of HT-22 cell line.ConclusionIn vitro studies indicate that BV has both cytotoxic and inhibitory effects on the secretion of MMP-2 and MMP-9 in selected lines of glioma, suggesting anticancer properties of BV.
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Affiliation(s)
- Agata Małek
- Department of Medical Chemistry, Medical University of Lublin, Lublin, Poland
- *Correspondence: Agata Małek,
| | - Joanna Kocot
- Department of Medical Chemistry, Medical University of Lublin, Lublin, Poland
| | - Kamila Mitrowska
- Department of Pharmacology and Toxicology, National Veterinary Research Institute, Puławy, Poland
| | - Andrzej Posyniak
- Department of Pharmacology and Toxicology, National Veterinary Research Institute, Puławy, Poland
| | - Jacek Kurzepa
- Department of Medical Chemistry, Medical University of Lublin, Lublin, Poland
- Jacek Kurzepa,
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21
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Immunotherapeutic Approaches for Glioblastoma Treatment. Biomedicines 2022; 10:biomedicines10020427. [PMID: 35203636 PMCID: PMC8962267 DOI: 10.3390/biomedicines10020427] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Revised: 02/05/2022] [Accepted: 02/08/2022] [Indexed: 11/17/2022] Open
Abstract
Glioblastoma remains a challenging disease to treat, despite well-established standard-of-care treatments, with a median survival consistently of less than 2 years. In this review, we delineate the unique disease-specific challenges for immunotherapies, both brain-related and non-brain-related, which will need to be adequately overcome for the development of effective treatments. We also review current immunotherapy treatments, with a focus on clinical applications, and propose future directions for the field of GBM immunotherapy.
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22
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Fabro F, Lamfers MLM, Leenstra S. Advancements, Challenges, and Future Directions in Tackling Glioblastoma Resistance to Small Kinase Inhibitors. Cancers (Basel) 2022; 14:600. [PMID: 35158868 PMCID: PMC8833415 DOI: 10.3390/cancers14030600] [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: 12/27/2021] [Revised: 01/21/2022] [Accepted: 01/24/2022] [Indexed: 12/11/2022] Open
Abstract
Despite clinical intervention, glioblastoma (GBM) remains the deadliest brain tumor in adults. Its incurability is partly related to the establishment of drug resistance, both to standard and novel treatments. In fact, even though small kinase inhibitors have changed the standard clinical practice for several solid cancers, in GBM, they did not fulfill this promise. Drug resistance is thought to arise from the heterogeneity of GBM, which leads the development of several different mechanisms. A better understanding of the evolution and characteristics of drug resistance is of utmost importance to improve the current clinical practice. Therefore, the development of clinically relevant preclinical in vitro models which allow careful dissection of these processes is crucial to gain insights that can be translated to improved therapeutic approaches. In this review, we first discuss the heterogeneity of GBM, which is reflected in the development of several resistance mechanisms. In particular, we address the potential role of drug resistance mechanisms in the failure of small kinase inhibitors in clinical trials. Finally, we discuss strategies to overcome therapy resistance, particularly focusing on the importance of developing in vitro models, and the possible approaches that could be applied to the clinic to manage drug resistance.
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Affiliation(s)
| | | | - Sieger Leenstra
- Department of Neurosurgery, Brain Tumor Center, Erasmus University Medical Center, 3015 CN Rotterdam, The Netherlands; (F.F.); (M.L.M.L.)
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23
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Fu M, Zhang J, Li W, He S, Zhang J, Tennant D, Hua W, Mao Y. Gene clusters based on OLIG2 and CD276 could distinguish molecular profiling in glioblastoma. J Transl Med 2021; 19:404. [PMID: 34565408 PMCID: PMC8474912 DOI: 10.1186/s12967-021-03083-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: 06/10/2021] [Accepted: 09/16/2021] [Indexed: 11/14/2022] Open
Abstract
Background The molecular profiling of glioblastoma (GBM) based on transcriptomic analysis could provide precise treatment and prognosis. However, current subtyping (classic, mesenchymal, neural, proneural) is time-consuming and cost-intensive hindering its clinical application. A simple and efficient method for classification was imperative. Methods In this study, to simplify GBM subtyping more efficiently, we applied a random forest algorithm to conduct 26 genes as a cluster featured with hub genes, OLIG2 and CD276. Functional enrichment analysis and Protein–protein interaction were performed using the genes in this gene cluster. The classification efficiency of the gene cluster was validated by WGCNA and LASSO algorithms, and tested in GSE84010 and Gravandeel’s GBM datasets. Results The gene cluster (n = 26) could distinguish mesenchymal and proneural excellently (AUC = 0.92), which could be validated by multiple algorithms (WGCNA, LASSO) and datasets (GSE84010 and Gravandeel’s GBM dataset). The gene cluster could be functionally enriched in DNA elements and T cell associated pathways. Additionally, five genes in the signature could predict the prognosis well (p = 0.0051 for training cohort, p = 0.065 for test cohort). Conclusions Our study proved the accuracy and efficiency of random forest classifier for GBM subtyping, which could provide a convenient and efficient method for subtyping Proneural and Mesenchymal GBM. Supplementary Information The online version contains supplementary material available at 10.1186/s12967-021-03083-y.
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Affiliation(s)
- Minjie Fu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.,Institute of Neurosurgery, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China
| | - Jinsen Zhang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.,Institute of Neurosurgery, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China
| | - Weifeng Li
- School of Computer Science, University of Birmingham, Edgartown, UK
| | - Shan He
- School of Computer Science, University of Birmingham, Edgartown, UK
| | - Jingwen Zhang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.,Institute of Neurosurgery, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China
| | - Daniel Tennant
- Institute of Metabolism and Systems Research, University of Birmingham, Edgartown, UK
| | - Wei Hua
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China. .,Institute of Neurosurgery, Fudan University, Shanghai, China. .,Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China.
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China. .,Institute of Neurosurgery, Fudan University, Shanghai, China. .,Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China.
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24
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Ensemble based machine learning approach for prediction of glioma and multi-grade classification. Comput Biol Med 2021; 137:104829. [PMID: 34508971 DOI: 10.1016/j.compbiomed.2021.104829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 08/17/2021] [Accepted: 08/31/2021] [Indexed: 11/22/2022]
Abstract
Glioma is the most pernicious cancer of the nervous system, with histological grade influencing the survival of patients. Despite many studies on the multimodal treatment approach, survival time remains brief. In this study, a novel two-stage ensemble of an ensemble-type machine learning-based predictive framework for glioma detection and its histograde classification is proposed. In the proposed framework, five characteristics belonging to 135 subjects were considered: human telomerase reverse transcriptase (hTERT), chitinase-like protein (YKL-40), interleukin 6 (IL-6), tissue inhibitor of metalloproteinase-1 (TIMP-1) and neutrophil/lymphocyte ratio (NLR). These characteristics were examined using distinctive ensemble-based machine learning classifiers and combination strategies to develop a computer-aided diagnostic system for the non-invasive prediction of glioma cases and their grade. In the first stage, the analysis was conducted to classify glioma cases and control subjects. Machine learning approaches were applied in the second stage to classify the recognised glioma cases into three grades, from grade II, which has a good prognosis, to grade IV, which is also known as glioblastoma. All experiments were evaluated with a five-fold cross-validation method, and the classification results were analysed using different statistical parameters. The proposed approach obtained a high value of accuracy and other statistical parameters compared with other state-of-the-art machine learning classifiers. Therefore, the proposed framework can be utilised for designing other intervention strategies for the prediction of glioma cases and their grades.
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25
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A Preclinical Investigation of GBM-N019 as a Potential Inhibitor of Glioblastoma via Exosomal mTOR/CDK6/STAT3 Signaling. Cells 2021; 10:cells10092391. [PMID: 34572040 PMCID: PMC8471927 DOI: 10.3390/cells10092391] [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: 09/02/2021] [Revised: 09/09/2021] [Accepted: 09/09/2021] [Indexed: 12/21/2022] Open
Abstract
Glioblastoma (GBM) is one of the most aggressive brain malignancies with high incidences of developing treatment resistance, resulting in poor prognoses. Glioma stem cell (GSC)-derived exosomes are important players that contribute to GBM tumorigenesis and aggressive properties. Herein, we investigated the inhibitory roles of GBM-N019, a novel small molecule on the transfer of aggressive and invasive properties through the delivery of oncogene-loaded exosomes from GSCs to naïve and non-GSCs. Our results indicated that GBM-N019 significantly downregulated the expressions of the mammalian target of rapamycin (mTOR), signal transducer and activator of transcription 3 (STAT3), and cyclin-dependent kinase 6 (CDK6) signaling networks with concomitant inhibitory activities against viability, clonogenicity, and migratory abilities of U251 and U87MG cells. Treatments with GBM-N019 halted the exosomal transfer of protein kinase B (Akt), mTOR, p-mTOR, and Ras-related protein RAB27A to the naïve U251 and U87MG cells, and rescued the cells from invasive and stemness properties that were associated with activation of these oncogenes. GBM-N019 also synergized with and enhanced the anti-GBM activities of palbociclib in vitro and in vivo. In conclusion, our results suggested that GBM-N019 possesses good translational relevance as a potential anti-glioblastoma drug candidate worthy of consideration for clinical trials against recurrent glioblastomas.
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Zhang Y, Liang K, He J, Ma H, Chen H, Zheng F, Zhang L, Wang X, Ma X, Chen X. Deep Learning With Data Enhancement for the Differentiation of Solitary and Multiple Cerebral Glioblastoma, Lymphoma, and Tumefactive Demyelinating Lesion. Front Oncol 2021; 11:665891. [PMID: 34490082 PMCID: PMC8416477 DOI: 10.3389/fonc.2021.665891] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 07/29/2021] [Indexed: 11/16/2022] Open
Abstract
Objectives To explore the MRI-based differential diagnosis of deep learning with data enhancement for cerebral glioblastoma (GBM), primary central nervous system lymphoma (PCNSL), and tumefactive demyelinating lesion (TDL). Materials and Methods This retrospective study analyzed the MRI data of 261 patients with pathologically diagnosed solitary and multiple cerebral GBM (n = 97), PCNSL (n = 92), and TDL (n = 72). The 3D segmentation model was trained to capture the lesion. Different enhancement data were generated by changing the pixel ratio of the lesion and non-lesion areas. The 3D classification network was trained by using the enhancement data. The accuracy, sensitivity, specificity, and area under the curve (AUC) were used to assess the value of different enhancement data on the discrimination performance. These results were then compared with the neuroradiologists’ diagnoses. Results The diagnostic performance fluctuated with the ratio of lesion to non-lesion area changed. The diagnostic performance was best when the ratio was 1.5. The AUCs of GBM, PCNSL, and TDL were 1.00 (95% confidence interval [CI]: 1.000–1.000), 0.96 (95% CI: 0.923–1.000), and 0.954 (95% CI: 0.904–1.000), respectively. Conclusions Deep learning with data enhancement is useful for the accurate identification of GBM, PCNSL, and TDL, and its diagnostic performance is better than that of the neuroradiologists.
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Affiliation(s)
- Yu Zhang
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,CBSR&NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Kewei Liang
- CBSR&NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.,College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
| | - Jiaqi He
- CBSR&NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,Dalian Medical University, School of Stomatology, Dalian, China
| | - He Ma
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
| | - Hongyan Chen
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Fei Zheng
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Lingling Zhang
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xinsheng Wang
- School of Information Science and Engineering, Harbin Institute of Technology at Weihai, Weihai, China
| | - Xibo Ma
- CBSR&NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Xuzhu Chen
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Ahmed S, Hasan MM, Aschner M, Mirzaei H, Alam W, Mukarram Shah SM, Khan H. Therapeutic potential of marine peptides in glioblastoma: Mechanistic insights. Cell Signal 2021; 87:110142. [PMID: 34487816 DOI: 10.1016/j.cellsig.2021.110142] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 09/01/2021] [Accepted: 09/01/2021] [Indexed: 01/14/2023]
Abstract
Glioblastoma multiforme (GBM) is the most common primary malignant brain tumor in humans. It is characterized by excessive cell growth and accelerated intrusion of normal brain tissue along with a poor prognosis. The current standard of treatment, including surgical removal, radiation therapy, and chemotherapy, is largely ineffective, with high mortality and recurrence rates. As a result, traditional approaches have evolved to include new alternative remedies, such as natural compounds. Aquatic species provide a rich supply of possible drugs. The physiological effects of marine peptides in glioblastoma are mediated by a range of pathways, including apoptosis, microtubule balance disturbances, suppression of angiogenesis, cell migration/invasion, and cell viability; autophagy and metabolic enzymes downregulation. Herein, we address the efficacy of marine peptides as putative safe therapeutic agents for glioblastoma coupled with detail molecular mechanisms.
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Affiliation(s)
- Salman Ahmed
- Department of Pharmacognosy, Faculty of Pharmacy and Pharmaceutical Sciences, University of Karachi, Karachi 75270, Pakistan.
| | - Muhammad Mohtasheemul Hasan
- Department of Pharmacognosy, Faculty of Pharmacy and Pharmaceutical Sciences, University of Karachi, Karachi 75270, Pakistan.
| | - Michael Aschner
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY 10463, USA.
| | - Hamed Mirzaei
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Institute for Basic Sciences, Kashan University of Medical Sciences, Kashan, Iran
| | - Waqas Alam
- Department of Pharmacy, University of Swabi, Pakistan
| | | | - Haroon Khan
- Department of Pharmacy, Abdul Wali Khan University Mardan 23200, Pakistan.
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Al S, Asilsoy S, Uzuner N, Atakul G, Atay Ö, Kangallı Ö, Al IO, Karaman Ö. Is There a Clinical Significance of Very Low Serum Immunoglobulin E Level? J Clin Immunol 2021; 41:1893-1901. [PMID: 34478043 DOI: 10.1007/s10875-021-01127-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Accepted: 08/24/2021] [Indexed: 11/25/2022]
Abstract
PURPOSE High serum immunoglobulin (Ig) E levels are associated with allergies, parasitic infections, and some immune deficiencies; however, the potential effects and clinical implications of low IgE levels on the human immune system are not well-known. This study aims to determine the disorders accompanying very low IgE levels in children and adults. METHODS The patients whose IgE levels were determined between January 2015 and September 2020 were analyzed, and the patients with an IgE level < 2 IU/mL were included in this study. Demographic data, immunoglobulin levels, autoantibody results, and the diagnoses of the patients were noted from the electronic recording system of the hospital. RESULT The IgE levels were measured in 34,809 patients (21,875 children, 12,934 adults), and 130 patients had IgE levels < 2 IU/mL. Fifty-seven patients were children (0.26%); 73 were adults (0.56%). There was a malignant disease in 34 (9 of them children) (26%), autoimmune diseases in 20 (3 of them children) (15.4%), and immunodeficiency in 17 (14 of them children) (13.1%) of the patients. The most common reasons were other diseases, immunodeficiency and malignancy in children, and malignancy, autoimmune disorders, and other diseases in the adults, in rank order. The IgE level did not show any correlation with the levels of other immunoglobulins. CONCLUSION Although rare, a low IgE level has been shown to accompany malignancies, autoimmune disorders, and immune deficiencies. Patients with very low IgE levels should be carefully monitored for systemic disorders.
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Affiliation(s)
- Serdar Al
- Department of Pediatric Allergy and Clinical Immunology, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey.
| | - Suna Asilsoy
- Department of Pediatric Allergy and Clinical Immunology, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Nevin Uzuner
- Department of Pediatric Allergy and Clinical Immunology, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Gizem Atakul
- Department of Pediatric Allergy and Clinical Immunology, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Özge Atay
- Department of Pediatric Allergy and Clinical Immunology, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Özge Kangallı
- Department of Pediatric Allergy and Clinical Immunology, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Işık Odaman Al
- Department of Pediatric Hematology and Oncology, Dr. Behçet Uz Child Disease and Pediatric Surgery Training and Research Hospital, Izmir, Turkey
| | - Özkan Karaman
- Department of Pediatric Allergy and Clinical Immunology, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
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Yan OY, Teng HB, Fu SN, Chen YZ, Liu F. Temporal Muscle Thickness is an Independent Prognostic Biomarker in Patients with Glioma: Analysis of 261 Cases. Cancer Manag Res 2021; 13:6621-6632. [PMID: 34466032 PMCID: PMC8402956 DOI: 10.2147/cmar.s326232] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 08/06/2021] [Indexed: 02/05/2023] Open
Abstract
Purpose Temporal muscle thickness (TMT) has been proposed as a novel surrogate marker for skeletal muscle mass in head and neck malignancies. This study investigated the TMT prognostic relevance with gliomas and evaluated the influence of TMT values on survival in patients with gliomas of different grades and IDH subtypes. Methods The patients’ TMT was measured on contrast-enhanced T1-weighted magnetic resonance images before surgical treatment. Patients were divided into two cohorts based on their median TMT values. The Kaplan–Meier curve was used to compute the overall survival (OS) of different categories and all gliomas. Univariate and multivariate Cox regression analyses were conducted to assess the association between OS and TMT, hematological markers, and other clinical factors in glioma patients. Moreover, the clinical diagnostic efficiency of single and combination biomarkers was evaluated using receiver operating characteristic curve analysis. Results We retrospectively analyzed 261 patients with newly diagnosed glioma between November 2016 and May 2020 at Hunan Cancer Hospital. Cox analysis indicated that higher TMT (HR 0.286, P< 0.001) and higher KPS score (HR 0.629, P= 0.012) were protective prognostic factors and IDH wildtype status (HR 2.946, P< 0.001), RDW > 12.6 (HR 1.513, P= 0.036), and NLR > 4 (HR 1.560, P= 0.042) were poor prognostic factors for gliomas. Subsequently, patients with thicker TMT were found to have significantly better overall survival (P<0.001) than patients with thinner TMT among WHO III and WHO IV grade and patients with or without IDH mutation. TMT was considered a better single biomarker than recently prevalent hematological biomarkers for predicting high-grade [0.856 (0.797–0.916)] and IDH- wild-type [0.864 (0.786–0.941)] gliomas. Conclusion This study suggests that TMT is a positive biomarker for clinical prognosis in gliomas and that patients with thicker TMT have greater overall survival for gliomas of different grades and IDH subtypes.
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Affiliation(s)
- Ou Ying Yan
- The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/ Hunan Cancer Hospital, Changsha, Hunan, People's Republic of China
| | - Hai Bo Teng
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Sheng Nan Fu
- The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/ Hunan Cancer Hospital, Changsha, Hunan, People's Republic of China
| | - Yan Zhu Chen
- The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/ Hunan Cancer Hospital, Changsha, Hunan, People's Republic of China
| | - Feng Liu
- The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/ Hunan Cancer Hospital, Changsha, Hunan, People's Republic of China
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Dabiri H, Soltani BM, Dokanehiifard S, Jahanbakhshi A, Khaleghi M. Up-Regulation of Hsa-miR-11181 in Glioblastoma Multiforme as A Regulator of AKT2 and TGFBR1 Signalling. CELL JOURNAL 2021; 23:421-428. [PMID: 34455717 PMCID: PMC8405078 DOI: 10.22074/cellj.2021.7734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 01/27/2020] [Indexed: 11/16/2022]
Abstract
Objective MicroRNAs (miRNAs) are short non-coding RNAs that play a role in post-transcriptional regulation of gene
expression. Hsa-miR-11181 was originally introduced as a regulator of genes involved in some brain tumours. Due to the
high expression of Hsa-miR-11181 in limited glioblastoma brain tumours, in this study we intend to assess the expressions of
Hsa-miR-11181 and Has-miR11181-3p in brain tumour tissues and attribute new target genes to these miRNAs. Materials and Methods In this experimental study, total RNA from brain tissue samples was extracted for real-time
quantitative polymerase chain reaction (RT-qPCR) analysis after cDNA synthesis. In order to confirm a direct interaction
of Hsa-miR-11181 with two target genes, the 3ˊ UTR of AKT2 and transforming growth factor-beta receptor 1 (TGFBR1)
were cloned separately for assessment by the dual luciferase assay.
Results RT-qPCR analysis indicated that both Hsa-miR-11181-5p and Hsa-miR-11181-3p specifically up-regulated
in higher grades of glioma tumours versus other brain tumour types. Consistently, lower expression levels of AKT2
and TGFBR1 were detected in higher grade gliomas compared to other types of brain tumours, which was inverse to
the level of expression detected for the heparin-binding EGF-like growth factor (HBEGF) gene. The results of the dual
luciferase assay supported a direct interaction of Hsa-miR-11181 with the 3ˊ UTR sequences of the AKT2 and TGFBR1
genes.
Conclusion Overall, our data suggest that miR-1118 is a potential molecular biomarker for discrimination of glioma
brain tumours from other brain tumour types.
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Affiliation(s)
- Hamed Dabiri
- Molecular Genetics Department, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
| | - Bahram Mohammad Soltani
- Molecular Genetics Department, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.
| | - Sadat Dokanehiifard
- Molecular Genetics Department, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
| | - Amin Jahanbakhshi
- Stem Cell and Regenerative Medicine Research Centre, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Mehdi Khaleghi
- Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Science (TUMS), Tehran, Iran
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Momtazmanesh S, Rezaei N. Long Non-Coding RNAs in Diagnosis, Treatment, Prognosis, and Progression of Glioma: A State-of-the-Art Review. Front Oncol 2021; 11:712786. [PMID: 34322395 PMCID: PMC8311560 DOI: 10.3389/fonc.2021.712786] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 06/25/2021] [Indexed: 12/12/2022] Open
Abstract
Glioma is the most common malignant central nervous system tumor with significant mortality and morbidity. Despite considerable advances, the exact molecular pathways involved in tumor progression are not fully elucidated, and patients commonly face a poor prognosis. Long non-coding RNAs (lncRNAs) have recently drawn extra attention for their potential roles in different types of cancer as well as non-malignant diseases. More than 200 lncRNAs have been reported to be associated with glioma. We aimed to assess the roles of the most investigated lncRNAs in different stages of tumor progression and the mediating molecular pathways in addition to their clinical applications. lncRNAs are involved in different stages of tumor formation, invasion, and progression, including regulating the cell cycle, apoptosis, autophagy, epithelial-to-mesenchymal transition, tumor stemness, angiogenesis, the integrity of the blood-tumor-brain barrier, tumor metabolism, and immunological responses. The well-known oncogenic lncRNAs, which are upregulated in glioma, are H19, HOTAIR, PVT1, UCA1, XIST, CRNDE, FOXD2-AS1, ANRIL, HOXA11-AS, TP73-AS1, and DANCR. On the other hand, MEG3, GAS5, CCASC2, and TUSC7 are tumor suppressor lncRNAs, which are downregulated. While most studies reported oncogenic effects for MALAT1, TUG1, and NEAT1, there are some controversies regarding these lncRNAs. Expression levels of lncRNAs can be associated with tumor grade, survival, treatment response (chemotherapy drugs or radiotherapy), and overall prognosis. Moreover, circulatory levels of lncRNAs, such as MALAT1, H19, HOTAIR, NEAT1, TUG1, GAS5, LINK-A, and TUSC7, can provide non-invasive diagnostic and prognostic tools. Modulation of expression of lncRNAs using antisense oligonucleotides can lead to novel therapeutics. Notably, a profound understanding of the underlying molecular pathways involved in the function of lncRNAs is required to develop novel therapeutic targets. More investigations with large sample sizes and increased focus on in-vivo models are required to expand our understanding of the potential roles and application of lncRNAs in glioma.
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Affiliation(s)
- Sara Momtazmanesh
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.,Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran.,Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Nima Rezaei
- Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran.,Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran.,Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
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Koudriavtseva T, Villani V, Lorenzano S, Giannarelli D, Di Domenico EG, Stefanile A, Maschio M, D'Agosto G, Pimpinelli F, Tanzilli A, Galiè E, Pace A. Neutrophil-to-lymphocyte ratio, Factor VIII and Antithrombin III: inflammatory-clotting biomarkers in glioma. EXCLI JOURNAL 2021; 20:1152-1169. [PMID: 34345234 PMCID: PMC8326499 DOI: 10.17179/excli2021-3831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 07/02/2021] [Indexed: 11/10/2022]
Abstract
One of the key difficulties in glioma treatment is our limited ability to consistently assess cancer response or progression either by neuroimaging or specific blood biomarkers. An ideal biomarker could be measured through non-invasive methods such as blood-based biomarkers, aiding both early diagnosis and monitoring disease evolution. This is a single-center, case-control, 10-year retrospective, longitudinal study. We evaluated routine coagulation factors in 138 glioma patients (45 Females/93 Males; median [range] age, 56.4 [27-82] years; 64 non-recurrent/74 recurrent) and, for comparison, in 56 relapsing-remitting MS patients (41 Females/15 Males; 40.8 [25-62] years, 35 stable/21 active) and 23 controls (16 Females/7 Males; 41.7 [24-62] years) as well as Neutrophil-to-lymphocyte ratio (NLR) in subgroups of 127 glioma patients, 33 MS patients and 23 healthy controls. Secondly, we assessed whether these indicators could be predictive of overall (OS) and progression-free survival (PFS) in glioma patients. NLR, d-dimer, Antithrombin III and Factor VIII were significantly higher in glioma patients compared to both MS patients and controls (p<0.0001 for all). ROC curves confirmed that either NLR, Antithrombin III or Factor VIII were moderately accurate biomarkers (0.7<AUC<0.9) for glioma patients compared to other two groups whereas d-dimer was a moderately accurate marker for glioma only when compared to controls. In multivariable analysis, NLR ≥ 4.3 (median) (HR 1.53 [95 % CI 1.04-2.26], p=0.03) together with the Karnofsky Performance Status (KPS) ≥ 80 (median) (0.46 [0.31-0.69], p<0.0001) and use of steroids (1.75 [1.19-2.57], p=0.004) resulted independent predictors of OS while only KPS was independently associated with PFS. Our study showed increased levels of either NLR, Antithrombin III, Factor VIII, or d-dimer in glioma patients compared to MS patients and controls, where the first three represented moderately accurate biomarkers for this cancer. Among these markers, only NLR was found to be predictive for OS along with severe disability and steroid therapy.
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Affiliation(s)
- Tatiana Koudriavtseva
- Department of Clinical Experimental Oncology, IRCCS Regina Elena National Cancer Institute, IFO, Via Elio Chianesi 53, 00144, Rome, Italy
| | - Veronica Villani
- Department of Clinical Experimental Oncology, IRCCS Regina Elena National Cancer Institute, IFO, Via Elio Chianesi 53, 00144, Rome, Italy
| | - Svetlana Lorenzano
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Diana Giannarelli
- Biostatistics, IRCCS Regina Elena National Cancer Institute, IFO, Rome, Italy
| | - Enea Gino Di Domenico
- Clinical Pathology and Microbiology Unit, IRCCS San Gallicano Institute, IFO, Rome, Italy
| | - Annunziata Stefanile
- Department of Clinical Experimental Oncology, IRCCS Regina Elena National Cancer Institute, IFO, Via Elio Chianesi 53, 00144, Rome, Italy
| | - Marta Maschio
- Department of Clinical Experimental Oncology, IRCCS Regina Elena National Cancer Institute, IFO, Via Elio Chianesi 53, 00144, Rome, Italy
| | - Giovanna D'Agosto
- Clinical Pathology and Microbiology Unit, IRCCS San Gallicano Institute, IFO, Rome, Italy
| | - Fulvia Pimpinelli
- Clinical Pathology and Microbiology Unit, IRCCS San Gallicano Institute, IFO, Rome, Italy
| | - Antonio Tanzilli
- Department of Clinical Experimental Oncology, IRCCS Regina Elena National Cancer Institute, IFO, Via Elio Chianesi 53, 00144, Rome, Italy
| | - Edvina Galiè
- Department of Clinical Experimental Oncology, IRCCS Regina Elena National Cancer Institute, IFO, Via Elio Chianesi 53, 00144, Rome, Italy
| | - Andrea Pace
- Department of Clinical Experimental Oncology, IRCCS Regina Elena National Cancer Institute, IFO, Via Elio Chianesi 53, 00144, Rome, Italy
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Naryzhny S, Ronzhina N, Zorina E, Kabachenko F, Zavialova M, Zgoda V, Klopov N, Legina O, Pantina R. Evaluation of Haptoglobin and Its Proteoforms as Glioblastoma Markers. Int J Mol Sci 2021; 22:6533. [PMID: 34207114 PMCID: PMC8234662 DOI: 10.3390/ijms22126533] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 06/10/2021] [Accepted: 06/14/2021] [Indexed: 02/07/2023] Open
Abstract
Haptoglobin (Hp) is a blood plasma glycoprotein that plays a critical role in tissue protection and the prevention of oxidative damage. Haptoglobin is an acute-phase protein, its concentration in plasma changes in pathology, and the test for its concentration is part of normal clinical practice. Haptoglobin is a conservative protein and is the subject of research as a potential biomarker of many diseases, including malignant neoplasms. The Human Hp gene is polymorphic and controls the synthesis of three major phenotypes-homozygous Hp1-1 and Hp2-2, and heterozygous Hp2-1, determined by a combination of allelic variants that are inherited. Numerous studies indicate that the phenotype of haptoglobin can be used to judge the individual's predisposition to various diseases. In addition, Hp undergoes various post-translational modifications (PTMs). Glioblastoma multiform (GBM) is the most malignant primary brain tumor. In our study, we have analyzed the state of Hp proteoforms in plasma and cells using 1D (SDS-PAGE) and 2D electrophoresis (2DE) with the following mass spectrometry (LC ES-MS/MS) or Western blotting. We found that the levels of α2- and β-chain proteoforms are up-regulated in the plasma of GBM patients. An unprocessed form of Hp2-2 (PreHp2-2, zonulin) with unusual biophysical parameters (pI/Mw) was also detected in the plasma of GBM patients and glioblastoma cells. Altogether, this data shows the possibility to use proteoforms of haptoglobin as a potential GBM-specific plasma biomarker.
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Affiliation(s)
- Stanislav Naryzhny
- Institute of Biomedical Chemistry, Pogodinskaya, 10, 119121 Moscow, Russia; (E.Z.); (M.Z.); (V.Z.)
- National Research Center “Kurchatov Institute”, Petersburg Nuclear Physics Institute, 188300 Gatchina, Russia; (N.R.); (N.K.); (O.L.); (R.P.)
| | - Natalia Ronzhina
- National Research Center “Kurchatov Institute”, Petersburg Nuclear Physics Institute, 188300 Gatchina, Russia; (N.R.); (N.K.); (O.L.); (R.P.)
| | - Elena Zorina
- Institute of Biomedical Chemistry, Pogodinskaya, 10, 119121 Moscow, Russia; (E.Z.); (M.Z.); (V.Z.)
| | - Fedor Kabachenko
- Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia;
| | - Maria Zavialova
- Institute of Biomedical Chemistry, Pogodinskaya, 10, 119121 Moscow, Russia; (E.Z.); (M.Z.); (V.Z.)
| | - Viktor Zgoda
- Institute of Biomedical Chemistry, Pogodinskaya, 10, 119121 Moscow, Russia; (E.Z.); (M.Z.); (V.Z.)
| | - Nikolai Klopov
- National Research Center “Kurchatov Institute”, Petersburg Nuclear Physics Institute, 188300 Gatchina, Russia; (N.R.); (N.K.); (O.L.); (R.P.)
| | - Olga Legina
- National Research Center “Kurchatov Institute”, Petersburg Nuclear Physics Institute, 188300 Gatchina, Russia; (N.R.); (N.K.); (O.L.); (R.P.)
| | - Rimma Pantina
- National Research Center “Kurchatov Institute”, Petersburg Nuclear Physics Institute, 188300 Gatchina, Russia; (N.R.); (N.K.); (O.L.); (R.P.)
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