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Morin A, Chu C, Pavlidis P. Identifying Reproducible Transcription Regulator Coexpression Patterns with Single Cell Transcriptomics. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.15.580581. [PMID: 38559016 PMCID: PMC10979919 DOI: 10.1101/2024.02.15.580581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
The proliferation of single cell transcriptomics has potentiated our ability to unveil patterns that reflect dynamic cellular processes, rather than cell type compositional effects that emerge from bulk tissue samples. In this study, we leverage a broad collection of single cell RNA-seq data to identify the gene partners whose expression is most coordinated with each human and mouse transcription regulator (TR). We assembled 120 human and 103 mouse scRNA-seq datasets from the literature (>28 million cells), constructing a single cell coexpression network for each. We aimed to understand the consistency of TR coexpression profiles across a broad sampling of biological contexts, rather than examine the preservation of context-specific signals. Our workflow therefore explicitly prioritizes the patterns that are most reproducible across cell types. Towards this goal, we characterize the similarity of each TR's coexpression within and across species. We create single cell coexpression rankings for each TR, demonstrating that this aggregated information recovers literature curated targets on par with ChIP-seq data. We then combine the coexpression and ChIP-seq information to identify candidate regulatory interactions supported across methods and species. Finally, we highlight interactions for the important neural TR ASCL1 to demonstrate how our compiled information can be adopted for community use.
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Affiliation(s)
- Alexander Morin
- Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- Graduate Program in Bioinformatics, University of British Columbia, Vancouver, BC, Canada
| | - Chingpan Chu
- Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- Graduate Program in Bioinformatics, University of British Columbia, Vancouver, BC, Canada
| | - Paul Pavlidis
- Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
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Azimi P, Yazdanian T, Ahmadiani A. mRNA markers for survival prediction in glioblastoma multiforme patients: a systematic review with bioinformatic analyses. BMC Cancer 2024; 24:612. [PMID: 38773447 PMCID: PMC11106946 DOI: 10.1186/s12885-024-12345-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Accepted: 05/06/2024] [Indexed: 05/23/2024] Open
Abstract
BACKGROUND Glioblastoma multiforme (GBM) is a type of fast-growing brain glioma associated with a very poor prognosis. This study aims to identify key genes whose expression is associated with the overall survival (OS) in patients with GBM. METHODS A systematic review was performed using PubMed, Scopus, Cochrane, and Web of Science up to Journey 2024. Two researchers independently extracted the data and assessed the study quality according to the New Castle Ottawa scale (NOS). The genes whose expression was found to be associated with survival were identified and considered in a subsequent bioinformatic study. The products of these genes were also analyzed considering protein-protein interaction (PPI) relationship analysis using STRING. Additionally, the most important genes associated with GBM patients' survival were also identified using the Cytoscape 3.9.0 software. For final validation, GEPIA and CGGA (mRNAseq_325 and mRNAseq_693) databases were used to conduct OS analyses. Gene set enrichment analysis was performed with GO Biological Process 2023. RESULTS From an initial search of 4104 articles, 255 studies were included from 24 countries. Studies described 613 unique genes whose mRNAs were significantly associated with OS in GBM patients, of which 107 were described in 2 or more studies. Based on the NOS, 131 studies were of high quality, while 124 were considered as low-quality studies. According to the PPI network, 31 key target genes were identified. Pathway analysis revealed five hub genes (IL6, NOTCH1, TGFB1, EGFR, and KDR). However, in the validation study, only, the FN1 gene was significant in three cohorts. CONCLUSION We successfully identified the most important 31 genes whose products may be considered as potential prognosis biomarkers as well as candidate target genes for innovative therapy of GBM tumors.
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Affiliation(s)
- Parisa Azimi
- Neurosurgeon, Neuroscience Research Center, Shahid Beheshti University of Medical Sciences, Arabi Ave, Daneshjoo Blvd, Velenjak, Tehran, 19839- 63113, Iran.
| | | | - Abolhassan Ahmadiani
- Neurosurgeon, Neuroscience Research Center, Shahid Beheshti University of Medical Sciences, Arabi Ave, Daneshjoo Blvd, Velenjak, Tehran, 19839- 63113, Iran.
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Luo S, Liu Z, Chang H, Cheng X, Qian R, Gao Y, Hou C. Potential value of expression of receptor accessory protein 4 for evaluating the prognosis of lower-grade glioma patients. Aging (Albany NY) 2024; 16:6188-6211. [PMID: 38552216 PMCID: PMC11042925 DOI: 10.18632/aging.205695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Accepted: 12/18/2023] [Indexed: 04/23/2024]
Abstract
BACKGROUND REEP4 is involved in the regulation of the biological process of mitosis. Lower grade glioma (LGG), as a malignant tumor, is accompanied by abnormalities in mitosis, but there have been no reports of REEP4 so far. METHODS We collected transcriptome data, DNA methylation data and the clinical characteristics of thousands of patients with LGG. Various big data analysis methods and molecular biology experiments were employed to reveal the impact of REEP4 on the pathological process of LGG. RESULTS It was found that the expression of REEP4 was significantly elevated and negatively regulated by its methylation site. Therefore, both the high expression of REEP4 and low methylation state of cg16311504 showed that the patients are correlated with lower patient survival rate. In addition, high REEP4 expression participates in the regulation of various cancer-related cellular signaling pathways, such as the cell cycle, MAPK signaling pathway, NOD-like receptor signaling pathway, etc. More importantly, the level of immune cell infiltration significantly increased in the high expression group of REEP4 in the LGG tumor microenvironment and REEP4 has a high positive correlation with PD-L1 and other immune checkpoints. CONCLUSIONS In brief, this study is the first to introduce REEP4 in malignant tumors, which can be used as an independent risk factor that participates in the malignant process of LGG. More importantly, REEP4 has the potential to become a new star in the field of anti-tumor treatment.
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Affiliation(s)
- Shuping Luo
- Department of Colorectal Surgery, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China
| | - Zhendong Liu
- Department of Surgery of Spine and Spinal Cord, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou 450003, Henan, China
| | - Haigang Chang
- Department of Neurosurgery, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China
| | - Xingbo Cheng
- Department of Surgery of Spine and Spinal Cord, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou 450003, Henan, China
| | - Rongjun Qian
- Department of Neurosurgery, Henan Provincial People’s Hospital, People’s Hospital of Henan University, People’s Hospital of Zhengzhou University, Zhengzhou 450003, Henan, China
| | - Yanzheng Gao
- Department of Surgery of Spine and Spinal Cord, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, People’s Hospital of Henan University, Zhengzhou 450003, Henan, China
| | - Chaofeng Hou
- Department of Colorectal Surgery, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China
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Liao D, Huang Y, Liu D, Zhang H, Shi X, Li X, Luo P. The role of s-palmitoylation in neurological diseases: implication for zDHHC family. Front Pharmacol 2024; 14:1342830. [PMID: 38293675 PMCID: PMC10824933 DOI: 10.3389/fphar.2023.1342830] [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: 11/22/2023] [Accepted: 12/31/2023] [Indexed: 02/01/2024] Open
Abstract
S-palmitoylation is a reversible posttranslational modification, and the palmitoylation reaction in human-derived cells is mediated by the zDHHC family, which is composed of S-acyltransferase enzymes that possess the DHHC (Asp-His-His-Cys) structural domain. zDHHC proteins form an autoacylation intermediate, which then attaches the fatty acid to cysteine a residue in the target protein. zDHHC proteins sublocalize in different neuronal structures and exert dif-ferential effects on neurons. In humans, many zDHHC proteins are closely related to human neu-rological disor-ders. This review focuses on a variety of neurological disorders, such as AD (Alz-heimer's disease), HD (Huntington's disease), SCZ (schizophrenia), XLID (X-linked intellectual disability), attention deficit hyperactivity disorder and glioma. In this paper, we will discuss and summarize the research progress regarding the role of zDHHC proteins in these neu-rological disorders.
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Affiliation(s)
- Dan Liao
- Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Yutao Huang
- Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Dan Liu
- Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
- School of Life Science, Northwest University, Xi’an, China
| | - Haofuzi Zhang
- Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Xinyu Shi
- Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Xin Li
- Department of Anesthesiology, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Peng Luo
- Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
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Penkova A, Kuziakova O, Gulaia V, Tiasto V, Goncharov NV, Lanskikh D, Zhmenia V, Baklanov I, Farniev V, Kumeiko V. Comprehensive clinical assays for molecular diagnostics of gliomas: the current state and future prospects. Front Mol Biosci 2023; 10:1216102. [PMID: 37908227 PMCID: PMC10613994 DOI: 10.3389/fmolb.2023.1216102] [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: 06/08/2023] [Accepted: 09/04/2023] [Indexed: 11/02/2023] Open
Abstract
Glioma is one of the most intractable types of cancer, due to delayed diagnosis at advanced stages. The clinical symptoms of glioma are unclear and due to a variety of glioma subtypes, available low-invasive testing is not effective enough to be introduced into routine medical laboratory practice. Therefore, recent advances in the clinical diagnosis of glioma have focused on liquid biopsy approaches that utilize a wide range of techniques such as next-generation sequencing (NGS), droplet-digital polymerase chain reaction (ddPCR), and quantitative PCR (qPCR). Among all techniques, NGS is the most advantageous diagnostic method. Despite the rapid cheapening of NGS experiments, the cost of such diagnostics remains high. Moreover, high-throughput diagnostics are not appropriate for molecular profiling of gliomas since patients with gliomas exhibit only a few diagnostic markers. In this review, we highlighted all available assays for glioma diagnosing for main pathogenic glioma DNA sequence alterations. In the present study, we reviewed the possibility of integrating routine molecular methods into the diagnosis of gliomas. We state that the development of an affordable assay covering all glioma genetic aberrations could enable early detection and improve patient outcomes. Moreover, the development of such molecular diagnostic kits could potentially be a good alternative to expensive NGS-based approaches.
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Affiliation(s)
- Alina Penkova
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Olga Kuziakova
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Valeriia Gulaia
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Vladlena Tiasto
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Nikolay V. Goncharov
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
- A. V. Zhirmunsky National Scientific Center of Marine Biology, FEB RAS, Vladivostok, Russia
| | - Daria Lanskikh
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Valeriia Zhmenia
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Ivan Baklanov
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
- A. V. Zhirmunsky National Scientific Center of Marine Biology, FEB RAS, Vladivostok, Russia
| | - Vladislav Farniev
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
| | - Vadim Kumeiko
- Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia
- A. V. Zhirmunsky National Scientific Center of Marine Biology, FEB RAS, Vladivostok, Russia
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Liu H, Zeng Z, Sun P. Prognosis and immunoinfiltration analysis of angiogene-related genes in grade 4 diffuse gliomas. Aging (Albany NY) 2023; 15:9842-9857. [PMID: 37737709 PMCID: PMC10564429 DOI: 10.18632/aging.205054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 08/29/2023] [Indexed: 09/23/2023]
Abstract
Although angiogenesis critically influences the progression of solid tumors, its contribution to highly malignant, grade 4 diffuse gliomas remains unclear. After analyzing 506 angiogenesis-related genes differentially expressed in grade 4 diffuse gliomas via LASSO and univariate and multivariate COX regression analyses, we constructed a nomogram based on COL22A1, IGFBP2, and MPO that accurately predicted patient survival. The nomogram's performance was validated in an external patient cohort, and a risk score based on the formula COL22A1*0.148+IGFBP2*0.234+MPO*0.145 was used to distinguish high-risk from low-risk patients. Based on differentially expressed genes among risk groups, functional enrichment and drug sensitivity analyses were conducted, and the association between COL22A1, IGFBP2, and MPO expression and infiltrating immune cells and immune checkpoint genes was investigated. We next focused on COL22A1, and verified its overexpression in both glioma cell lines and clinical samples. A pro-oncogenic role for COL22A1, evidenced by impaired proliferation, migration, and invasion capacities, was evidenced upon shRNA-mediated COL22A1 silencing in glioma U87 and LN18 cells. In summary, we present a novel nomogram based on the angiogenesis-related genes COL22A1, IGFBP2, and MPO that allows survival prediction in patients with grade 4 diffuse gliomas. Furthermore, our cellular assays support a pro-oncogenic role for COL22A1 in these tumors.
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Affiliation(s)
- Hui Liu
- Department of Neurosurgery, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Zhirui Zeng
- Department of Neurosurgery, Guizhou Medical University, Guiyang, China
| | - Peng Sun
- Department of Neurosurgery, Affiliated Hospital of Qingdao University, Qingdao, China
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Li RB, Yang XH, Zhang JD, Cui W. GAS6-AS1, a long noncoding RNA, functions as a key candidate gene in atrial fibrillation related stroke determined by ceRNA network analysis and WGCNA. BMC Med Genomics 2023; 16:51. [PMID: 36894947 PMCID: PMC9996875 DOI: 10.1186/s12920-023-01478-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 03/03/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND Stroke attributable to atrial fibrillation (AF related stroke, AFST) accounts for 13 ~ 26% of ischemic stroke. It has been found that AFST patients have a higher risk of disability and mortality than those without AF. Additionally, it's still a great challenge to treat AFST patients because its exact mechanism at the molecular level remains unclear. Thus, it's vital to investigate the mechanism of AFST and search for molecular targets of treatment. Long non-coding RNAs (lncRNAs) are related to the pathogenesis of various diseases. However, the role of lncRNAs in AFST remains unclear. In this study, AFST-related lncRNAs are explored using competing endogenous RNA (ceRNA) network analysis and weighted gene co-expression network analysis (WGCNA). METHODS GSE66724 and GSE58294 datasets were downloaded from GEO database. After data preprocessing and probe reannotation, differentially expressed lncRNAs (DELs) and differentially expressed mRNAs (DEMs) between AFST and AF samples were explored. Then, functional enrichment analysis and protein-protein interaction (PPI) network analysis of the DEMs were performed. At the meantime, ceRNA network analysis and WGCNA were performed to identify hub lncRNAs. The hub lncRNAs identified both by ceRNA network analysis and WGCNA were further validated by Comparative Toxicogenomics Database (CTD). RESULTS In all, 19 DELs and 317 DEMs were identified between the AFST and AF samples. Functional enrichment analysis suggested that the DEMs associated with AFST were mainly enriched in the activation of the immune response. Two lncRNAs which overlapped between the three lncRNAs identified by the ceRNA network analysis and the 28 lncRNAs identified by the WGCNA were screened as hub lncRNAs for further validation. Finally, lncRNA GAS6-AS1 turned out to be associated with AFST by CTD validation. CONCLUSION These findings suggested that low expression of GAS6-AS1 might exert an essential role in AFST through downregulating its downstream target mRNAs GOLGA8A and BACH2, and GAS6-AS1 might be a potential target for AFST therapy.
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Affiliation(s)
- Rui-Bin Li
- Department of Cardiology, The Second Hospital of Hebei Medical University, No. 215 West Heping Road, Shijiazhuang, 050000, Hebei, China
| | - Xiao-Hong Yang
- Department of Cardiology, The Second Hospital of Hebei Medical University, No. 215 West Heping Road, Shijiazhuang, 050000, Hebei, China
| | - Ji-Dong Zhang
- Department of Cardiology, The Second Hospital of Hebei Medical University, No. 215 West Heping Road, Shijiazhuang, 050000, Hebei, China
| | - Wei Cui
- Department of Cardiology, The Second Hospital of Hebei Medical University, No. 215 West Heping Road, Shijiazhuang, 050000, Hebei, China.
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Cheng X, Liu Z, Liang W, Zhu Q, Wang C, Wang H, Zhang J, Li P, Gao Y. ECM2, a prognostic biomarker for lower grade glioma, serves as a potential novel target for immunotherapy. Int J Biochem Cell Biol 2023; 158:106409. [PMID: 36997057 DOI: 10.1016/j.biocel.2023.106409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 03/23/2023] [Accepted: 03/27/2023] [Indexed: 03/31/2023]
Abstract
Extracellular matrix protein 2 (ECM2), which regulates cell proliferation and differentiation, has recently been reported as a prognostic indicator for multiple cancers, but its value in lower grade glioma (LGG) remains unknown. In this study, LGG transcriptomic data of 503 cases in The Cancer Genome Atlas (TCGA) database and 403 cases in The Chinese Glioma Genome Atlas (CGGA) database were collected to analyze ECM2 expression patterns and the relationship with clinical characteristics, prognosis, enriched signaling pathways, and immune-related markers. In addition, a total of 12 laboratory samples were used for experimental validation. Wilcoxon or Kruskal-Wallis tests demonstrated highly expressed ECM2 in LGG was positively associated with malignant histological features and molecular features such as recurrent LGG and isocitrate dehydrogenase (IDH) wild-type. Also, Kaplan-Meier (KM) curves proved high ECM2 expression could predict shorter overall survival in LGG patients, as multivariate analysis and meta-analysis claimed ECM2 was a deleterious factor for LGG prognosis. In addition, the enrichment of immune-related pathways for ECM2, for instance JAK-STAT pathway, was obtained by Gene Set Enrichment Analysis (GSEA) analysis. Furthermore, positive relationships between ECM2 expression with immune cells infiltration and cancer-associated fibroblasts (CAFs), iconic markers (CD163), and immune checkpoints (CD274, encoding PD-L1) were proved by Pearson correlation analysis. Finally, laboratory experiments of RT-qPCR and immunohistochemistry showed high expression of ECM2, as well as CD163 and PD-L1 in LGG samples. This study identifies ECM2, for the first time, as a subtype marker and prognostic indicator for LGG. ECM2 could also provide a reliable guarantee for further personalized therapy, synergizing with tumor immunity, to break through the current limitations and thus reinvigorating immunotherapy for LGG. AVAILABILITY OF DATA AND MATERIALS: Raw data from all public databases involved in this study are stored in the online repository (chengMD2022/ECM2 (github.com)).
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Ashley-Koch AE, Kimbrel NA, Qin XJ, Lindquist JH, Garrett ME, Dennis MF, Hair LP, Huffman JE, Jacobson DA, Madduri RK, Coon H, Docherty AR, Kang J, Mullins N, Ruderfer DM, Harvey PD, McMahon BH, Oslin DW, Hauser ER, Hauser MA, Beckham JC. Genome-wide association study identifies four pan-ancestry loci for suicidal ideation in the Million Veteran Program. PLoS Genet 2023; 19:e1010623. [PMID: 36940203 PMCID: PMC10063168 DOI: 10.1371/journal.pgen.1010623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 03/30/2023] [Accepted: 01/18/2023] [Indexed: 03/21/2023] Open
Abstract
Suicidal ideation (SI) often precedes and predicts suicide attempt and death, is the most common suicidal phenotype and is over-represented in veterans. The genetic architecture of SI in the absence of suicide attempt (SA) is unknown, yet believed to have distinct and overlapping risk with other suicidal behaviors. We performed the first GWAS of SI without SA in the Million Veteran Program (MVP), identifying 99,814 SI cases from electronic health records without a history of SA or suicide death (SD) and 512,567 controls without SI, SA or SD. GWAS was performed separately in the four largest ancestry groups, controlling for sex, age and genetic substructure. Ancestry-specific results were combined via meta-analysis to identify pan-ancestry loci. Four genome-wide significant (GWS) loci were identified in the pan-ancestry meta-analysis with loci on chromosomes 6 and 9 associated with suicide attempt in an independent sample. Pan-ancestry gene-based analysis identified GWS associations with DRD2, DCC, FBXL19, BCL7C, CTF1, ANNK1, and EXD3. Gene-set analysis implicated synaptic and startle response pathways (q's<0.05). European ancestry (EA) analysis identified GWS loci on chromosomes 6 and 9, as well as GWS gene associations in EXD3, DRD2, and DCC. No other ancestry-specific GWS results were identified, underscoring the need to increase representation of diverse individuals. The genetic correlation of SI and SA within MVP was high (rG = 0.87; p = 1.09e-50), as well as with post-traumatic stress disorder (PTSD; rG = 0.78; p = 1.98e-95) and major depressive disorder (MDD; rG = 0.78; p = 8.33e-83). Conditional analysis on PTSD and MDD attenuated most pan-ancestry and EA GWS signals for SI without SA to nominal significance, with the exception of EXD3 which remained GWS. Our novel findings support a polygenic and complex architecture for SI without SA which is largely shared with SA and overlaps with psychiatric conditions frequently comorbid with suicidal behaviors.
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Affiliation(s)
- Allison E. Ashley-Koch
- Duke Molecular Physiology Institute, Durham, North Carolina, United States of America
- Department of Medicine, Duke University Health System, Durham, North Carolina, United States of America
| | - Nathan A. Kimbrel
- Durham Veterans Affairs (VA) Health Care System, Durham, North Carolina, United States of America
- VA Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham, North Carolina, United States of America
- VA Health Services Research and Development Center of Innovation to Accelerate Discovery and Practice Transformation, Durham, North Carolina, United States of America
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Xue J. Qin
- Duke Molecular Physiology Institute, Durham, North Carolina, United States of America
- Durham Veterans Affairs (VA) Health Care System, Durham, North Carolina, United States of America
| | - Jennifer H. Lindquist
- VA Health Services Research and Development Center of Innovation to Accelerate Discovery and Practice Transformation, Durham, North Carolina, United States of America
| | - Melanie E. Garrett
- Duke Molecular Physiology Institute, Durham, North Carolina, United States of America
| | - Michelle F. Dennis
- Durham Veterans Affairs (VA) Health Care System, Durham, North Carolina, United States of America
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Lauren P. Hair
- Durham Veterans Affairs (VA) Health Care System, Durham, North Carolina, United States of America
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Jennifer E. Huffman
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America
| | - Daniel A. Jacobson
- Biosciences, Oak Ridge National Laboratory, Oak Ridge, TN, United States of America
- Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee Knoxville, Knoxville, Tennessee, United States of America
- Department of Psychology, NeuroNet Research Center, University of Tennessee Knoxville, Knoxville, Tennessee, United States of America
| | - Ravi K. Madduri
- Consortium for Advanced Science and Engineering, The University of Chicago, Chicago, Illinois, United States of America
- Data Science and Learning Division, Argonne National Laboratory, Lemont, Illinois, United States of America
| | - Hilary Coon
- Department of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City, Utah, United States of America
- Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah, United States of America
| | - Anna R. Docherty
- Department of Psychiatry, Huntsman Mental Health Institute, University of Utah School of Medicine, Salt Lake City, Utah, United States of America
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Jooeun Kang
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Niamh Mullins
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Douglas M. Ruderfer
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | | | | | | | - Philip D. Harvey
- Research Service Bruce W. Carter VA Medical Center, Miami, Florida, United States of America
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, Florida, United States of America
| | - Benjamin H. McMahon
- Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America
| | - David W. Oslin
- VISN 4 Mental Illness Research, Education, and Clinical Center, Center of Excellence, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, United States of America
| | - Elizabeth R. Hauser
- Duke Molecular Physiology Institute, Durham, North Carolina, United States of America
- Durham Veterans Affairs (VA) Health Care System, Durham, North Carolina, United States of America
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Michael A. Hauser
- Duke Molecular Physiology Institute, Durham, North Carolina, United States of America
| | - Jean C. Beckham
- Durham Veterans Affairs (VA) Health Care System, Durham, North Carolina, United States of America
- VA Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham, North Carolina, United States of America
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, United States of America
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Bou Zerdan M, Atoui A, Hijazi A, Basbous L, Abou Zeidane R, Alame SM, Assi HI. Latest updates on cellular and molecular biomarkers of gliomas. Front Oncol 2022; 12:1030366. [PMID: 36425564 PMCID: PMC9678906 DOI: 10.3389/fonc.2022.1030366] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 10/05/2022] [Indexed: 03/05/2024] Open
Abstract
Gliomas are the most common central nervous system malignancies, compromising almost 80% of all brain tumors and is associated with significant mortality. The classification of gliomas has shifted from basic histological perspective to one that is based on molecular biomarkers. Treatment of this type of tumors consists currently of surgery, chemotherapy and radiation therapy. During the past years, there was a limited development of effective glioma diagnostics and therapeutics due to multiple factors including the presence of blood-brain barrier and the heterogeneity of this type of tumors. Currently, it is necessary to highlight the advantage of molecular diagnosis of gliomas to develop patient targeted therapies based on multiple oncogenic pathway. In this review, we will evaluate the development of cellular and molecular biomarkers for the diagnosis of gliomas and the impact of these diagnostic tools for better tailored and targeted therapies.
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Affiliation(s)
- Maroun Bou Zerdan
- Department of Internal Medicine, State University of New York (SUNY) Upstate Medical University, Syracuse, NY, United States
| | - Ali Atoui
- Hematology-Oncology Division, Internal Medicine Department, American University of Beirut Medical Center, Beirut, Lebanon
| | - Ali Hijazi
- Hematology-Oncology Division, Internal Medicine Department, American University of Beirut Medical Center, Beirut, Lebanon
| | - Lynn Basbous
- Hematology-Oncology Division, Internal Medicine Department, American University of Beirut Medical Center, Beirut, Lebanon
| | - Reine Abou Zeidane
- Hematology-Oncology Division, Internal Medicine Department, American University of Beirut Medical Center, Beirut, Lebanon
| | - Saada M Alame
- Department of Pediatrics, Faculty of Medicine, Lebanese University, Beirut, Lebanon
| | - Hazem I Assi
- Hematology-Oncology Division, Internal Medicine Department, American University of Beirut Medical Center, Beirut, Lebanon
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Xu Y, Xiao H, Hu W, Shen HC, Liu W, Tan S, Ren C, Zhang X, Yang X, Yu G, Yang T, Yu D, Zong L. CIMP-positive glioma is associated with better prognosis: A systematic analysis. Medicine (Baltimore) 2022; 101:e30635. [PMID: 36181110 PMCID: PMC9524892 DOI: 10.1097/md.0000000000030635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND CpG island methylator phenotype (CIMP) was closely related to the degree of pathological differentiation of tumors, and it's an important determinant of glioma pathogenicity. However, the molecular and pathological features of CIMP-positive glioma have not been fully elucidated. In addition, CIMP have been reported to be a useful prognostic marker in several human cancers, yet its prognostic value in gliomas is still controversial. Therefore, we aimed to evaluate gene mutations and pathological features of CIMP-positive glioma and explore the prognostic value of CIMP in gliomas. METHODS We comprehensively searched PubMed, Embase, and MEDLINE for studies describing gene mutations, pathological features and overall survival of gliomas stratified by CIMP status. Odds ratios (OR), hazard ratios (HR), and their 95% confidence intervals (CI) were used to estimate the correlation between CIMP and the outcome parameters. RESULTS Twelve studies with 2386 gliomas (1051 CIMP-positive and 1335 CIMP-negative) were included. Our results showed that CIMP was more frequent in isocitrate dehydrogenase 1 (IDH1)-mutated gliomas (OR 229.07; 95% CI 138.72-378.26) and 1p19q loss of heterozygosis (LOH) gliomas (OR 5.65; 95% CI 2.66-12.01). Pathological analysis showed that CIMP was common in low-malignant oligodendroglioma (OR 5.51; 95% CI 3.95-7.70) with molecular features including IDH1 mutations and 1p19q LOH, but rare in glioblastoma (OR 0.14; 95% CI 0.10-0.19). However, CIMP showed no obvious correlation with anaplastic oligoastrocytomas (OR 1.57; 95% CI 1.24-2.00) or oligoastrocytomas (OR 0.79; 95% CI 0.35-1.76). Concerning the prognosis, we found that CIMP-positive gliomas had longer overall survival (HR 0.57; 95% CI 0.97-0.16) than CIMP-negative gliomas. CONCLUSIONS CIMP could be used as a potential independent prognostic indicator for glioma.
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Affiliation(s)
- Yingying Xu
- Department of General Surgery, Yizhen People’s Hospital, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu Province, China
| | - Huashi Xiao
- Clinical Medical College, Dalian Medical University, Liaoning Province, China
| | - Wenqing Hu
- Department of Gastrointestinal Surgery, Changzhi People’s Hospital, The Affiliated Hospital of Changzhi Medical College, Changzhi, Shanxi Province, China
| | - He-Chun Shen
- Department of General Practice, Northern Jiangsu People’s Hospital, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu Province, China
| | - Wanjun Liu
- Department of Clinical Medical Testing Laboratory, Clinical Medical School of Yangzhou University, Northern Jiangsu People’s Hospital, Yangzhou, Jiangsu Province, China
| | - Siyuan Tan
- Department of General Surgery, Yizhen People’s Hospital, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu Province, China
| | - Chuanli Ren
- Department of Clinical Medical Testing Laboratory, Clinical Medical School of Yangzhou University, Northern Jiangsu People’s Hospital, Yangzhou, Jiangsu Province, China
| | - Xiaomin Zhang
- Central Laboratory, Changzhi People’s Hospital, The Affiliated Hospital of Changzhi Medical College, Changzhi, Shanxi Province, China
| | - Xishuai Yang
- Neurology Department, Changzhi People’s Hospital, The Affiliated Hospital of Changzhi Medical College, Changzhi, Shanxi Province, China
| | - Guo Yu
- Laboratory of Pharmacogenomics and Pharmacokinetic Research, Subei People’s Hospital, Yangzhou University, Yangzhou, Jiangsu Province, China
| | - Ting Yang
- Central Laboratory, Changzhi People’s Hospital, The Affiliated Hospital of Changzhi Medical College, Changzhi, Shanxi Province, China
| | - Duonan Yu
- Jiangsu Key Laboratory of Experimental & Translational Non-coding RNA Research, Yangzhou University School of Medicine, Yangzhou, Jiangsu Province, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Disease and Zoonosis, Yangzhou, Jiangsu Province, China
| | - Liang Zong
- Department of Gastrointestinal Surgery, Changzhi People’s Hospital, The Affiliated Hospital of Changzhi Medical College, Changzhi, Shanxi Province, China
- *Correspondence: Liang Zong, Department of Gastrointestinal Surgery, Changzhi People’s Hospital, The Affiliated Hospital of Changzhi Medical College, Changzhi, 046000, Shanxi Province, China (e-mail: )
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Wang G, Wang J, Niu C, Zhao Y, Wu P. Neutrophils: New Critical Regulators of Glioma. Front Immunol 2022; 13:927233. [PMID: 35860278 PMCID: PMC9289230 DOI: 10.3389/fimmu.2022.927233] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Accepted: 06/06/2022] [Indexed: 11/22/2022] Open
Abstract
In cancer, neutrophils are an important part of the tumour microenvironment (TME). Previous studies have shown that circulating and infiltrating neutrophils are associated with malignant progression and immunosuppression in gliomas. However, recent studies have shown that neutrophils have an antitumour effect. In this review, we focus on the functional roles of neutrophils in the circulation and tumour sites in patients with glioma. The mechanisms of neutrophil recruitment, immunosuppression and the differentiation of neutrophils are discussed. Finally, the potential of neutrophils as clinical biomarkers and therapeutic targets is highlighted. This review can help us gain a deeper and systematic understanding of the role of neutrophils, and provide new insights for treatment in gliomas.
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Affiliation(s)
- Guanyu Wang
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Jinpeng Wang
- Department of Urology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Chaoshi Niu
- Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Anhui Provincial Stereotactic Neurosurgical Institute, Hefei, China
- Anhui Province Key Laboratory of Brain Function and Brain Disease, Hefei, China
- Anhui Provincial Clinical Research Center for Neurosurgical Disease, Hefei, China
- *Correspondence: Pengfei Wu, ; Yan Zhao, ; Chaoshi Niu,
| | - Yan Zhao
- Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
- *Correspondence: Pengfei Wu, ; Yan Zhao, ; Chaoshi Niu,
| | - Pengfei Wu
- Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Anhui Provincial Stereotactic Neurosurgical Institute, Hefei, China
- Anhui Province Key Laboratory of Brain Function and Brain Disease, Hefei, China
- Anhui Provincial Clinical Research Center for Neurosurgical Disease, Hefei, China
- Anhui Province Key Laboratory of Translational Cancer Research, Bengbu Medical College, Bengbu, China
- *Correspondence: Pengfei Wu, ; Yan Zhao, ; Chaoshi Niu,
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