{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:33:15Z","timestamp":1754155995046,"version":"3.41.2"},"reference-count":57,"publisher":"Emerald","issue":"4","license":[{"start":{"date-parts":[[2020,5,26]],"date-time":"2020-05-26T00:00:00Z","timestamp":1590451200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["LHT"],"published-print":{"date-parts":[[2020,5,26]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>Gliomas are common intracranial tumors with the characteristic of diffuse and invasive growth. The prognosis is poor, and the recurrence rate and mortality are higher. With the development of big data technology, many methods such as natural language processing, computer vision and image processing have been deeply applied in the medical field. This can help clinicians to provide personalized and precise diagnosis and therapeutic schedule for patients with different type of gliomas to achieve the best therapeutic effect. The purpose of this paper is to summarize and extract useful information from published research results by conducting a secondary analysis of the literature.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>The PubMed and China National Knowledge Infrastructure (CNKI) literature database were used to retrieve published Chinese and English research papers about human gliomas. Comprehensive analysis was applied to conduct this research. The factors affecting survival and prognosis were screened and analyzed respectively in this paper, and different methods for multidimensional data of patients were discussed.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>This paper identified biomarkers and therapeutic modalities associated with prognosis for different grade of gliomas. This paper investigated the relationship among these clinical prognostic factors and different histopathologic tying and grade of gliomas by comprehensive analysis. This paper summarizes the research progress of biomarker in medical imaging and genomics of gliomas to improve prognosis and the current status of treatment in China.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>Combined with multimodal data such as genomics data, medical image data and clinical information data, this paper comprehensively analyzed the prognostic factors of glioma and provided guidance and evidence for rational treatment planning and improvement of clinical treatment prognosis.<\/jats:p><\/jats:sec>","DOI":"10.1108\/lht-08-2019-0173","type":"journal-article","created":{"date-parts":[[2020,6,5]],"date-time":"2020-06-05T05:31:42Z","timestamp":1591335102000},"page":"783-797","source":"Crossref","is-referenced-by-count":1,"title":["Comprehensive analysis of potential prognostic biomarker in gliomas"],"prefix":"10.1108","volume":"38","author":[{"given":"Zunpeng","family":"Yu","sequence":"first","affiliation":[]},{"given":"Long","family":"Lu","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"issue":"5","key":"key2020110406481734100_ref001","first-page":"4006","article-title":"Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach","year":"2014","journal-title":"Nature Communications"},{"issue":"3","key":"key2020110406481734100_ref002","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1200\/JCO.2012.43.2229","article-title":"Adjuvant procarbazine, lomustine, and vincristine chemotherapy in newly diagnosed anaplastic oligodendroglioma: long-term follow-up of EORTC brain tumor group study 26951","volume":"31","year":"2013","journal-title":"Journal of Clinical Oncology"},{"issue":"2","key":"key2020110406481734100_ref003","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1016\/j.cell.2013.09.034","article-title":"The somatic genomic landscape of glioblastoma","volume":"155","author":"TCGA Research Network","year":"2013","journal-title":"Cell"},{"issue":"3","key":"key2020110406481734100_ref004","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1200\/JCO.2012.43.2674","article-title":"Phase III trial of chemoradiotherapy for anaplastic oligodendroglioma: long-term results of RTOG 9402","volume":"31","year":"2013","journal-title":"Journal of Clinical Oncology"},{"issue":"7","key":"key2020110406481734100_ref005","first-page":"417","article-title":"Advances in treatment for brain glioma","volume":"46","year":"2015","journal-title":"Journal of New Medicine"},{"issue":"10","key":"key2020110406481734100_ref006","first-page":"721","article-title":"Status of radiomics in cerebral gliomas","volume":"9","year":"2018","journal-title":"China J Magnetic Resonance Imaging"},{"issue":"6","key":"key2020110406481734100_ref007","article-title":"Prognostic value of magnetic resonance imaging features in low-grade gliomas","volume":"39","year":"2019","journal-title":"Bioscience Reports"},{"issue":"5","key":"key2020110406481734100_ref008","first-page":"1","article-title":"CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2005-2009","volume":"14","year":"2012","journal-title":"Neuro-Oncology"},{"issue":"26","key":"key2020110406481734100_ref501","doi-asserted-by":"crossref","first-page":"2499","DOI":"10.1056\/NEJMoa1407279","article-title":"Glioma groups based on 1p\/19q, IDH, and TERT promoter mutations in tumors","volume":"372","year":"2015","journal-title":"New England Journal of Medicine"},{"issue":"4","key":"key2020110406481734100_ref009","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1093\/jnen\/63.4.314","article-title":"Prognostic value of 1p, 19q, 9p, 10q, and EGFR-FISH analyses in recurrent oligodendrogliomas","volume":"63","year":"2004","journal-title":"Journal of Neuropathology and Experimental Neurology"},{"issue":"1","key":"key2020110406481734100_ref010","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.mri.2008.05.017","article-title":"Enhancing the discrimination accuracy between metastases, gliomas and meningiomas on brain MRI by volumetric textural features and ensemble pattern recognition methods","volume":"27","year":"2009","journal-title":"Magnetic Resonance Imaging"},{"issue":"1","key":"key2020110406481734100_ref011","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1148\/radiol.14131731","article-title":"Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features","volume":"273","year":"2014","journal-title":"Radiology"},{"issue":"23","key":"key2020110406481734100_ref012","doi-asserted-by":"crossref","first-page":"9065","DOI":"10.1158\/0008-5472.CAN-09-2307","article-title":"Intrinsic gene expression profiles of gliomas are A better predictor of survival than histology","volume":"69","year":"2009","journal-title":"Cancer Research"},{"issue":"7","key":"key2020110406481734100_ref013","first-page":"485","article-title":"Guidelines for the diagnosis and treatment of central nervous system glioma in China (2015)","volume":"96","year":"2016","journal-title":"National Medical Journal of China"},{"issue":"6","key":"key2020110406481734100_ref014","doi-asserted-by":"crossref","first-page":"707","DOI":"10.1007\/s00401-010-0781-z","article-title":"Patients with IDH1 wild type anaplastic astrocytomas exhibit worse prognosis than IDH1-mutated glioblastomas, and IDH1 mutation status accounts for the unfavorable prognostic effect of higher age: implications for classification of gliomas","volume":"120","year":"2010","journal-title":"Acta Neuropathologica"},{"issue":"13","key":"key2020110406481734100_ref015","doi-asserted-by":"crossref","first-page":"4588","DOI":"10.1158\/1078-0432.CCR-10-3194","article-title":"Molecular markers in low-grade gliomas: predictive or prognostic?","volume":"17","year":"2011","journal-title":"Clinical Cancer Research"},{"issue":"4","key":"key2020110406481734100_ref502","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1215\/15228517-2009-025","article-title":"IDH1 mutations are present in the majority of common adult gliomas but rare in primary glioblastomas","volume":"11","year":"2009","journal-title":"Neuro-Oncology"},{"issue":"3","key":"key2020110406481734100_ref016","doi-asserted-by":"crossref","first-page":"880","DOI":"10.1148\/radiol.2016160845","article-title":"Radiomic profiling of glioblastoma: identifying an imaging predictor of patient survival with improved performance over established clinical and radiologic risk models","volume":"280","year":"2016","journal-title":"Radiology"},{"issue":"6","key":"key2020110406481734100_ref017","doi-asserted-by":"crossref","first-page":"848","DOI":"10.1093\/neuonc\/nox188","article-title":"Radiomic subtyping improves disease stratification beyond key molecular, clinical and standard imaging characteristics in patients with glioblastoma","volume":"20","year":"2018","journal-title":"Neuro-Oncology"},{"issue":"6","key":"key2020110406481734100_ref018","doi-asserted-by":"crossref","first-page":"2708","DOI":"10.2353\/ajpath.2010.100680","article-title":"Molecular classification of low-grade diffuse gliomas","volume":"177","year":"2010","journal-title":"American Journal Of Pathology"},{"issue":"4","key":"key2020110406481734100_ref019","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1007\/s00401-004-0976-2","article-title":"Losses of chromosomes 1p and 19q are rare in pediatric oligodendrogliomas","volume":"109","year":"2005","journal-title":"Acta Neuropathologica"},{"issue":"4","key":"key2020110406481734100_ref020","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1016\/j.ejca.2011.11.036","article-title":"Radiomics: extracting more information from medical images using advanced feature analysis","volume":"48","year":"2012","journal-title":"European Journal of Cancer"},{"issue":"7","key":"key2020110406481734100_ref021","first-page":"35","article-title":"The research on the precise treatment of molecular biomarkers and signaling pathways for glioma","volume":"5","year":"2018","journal-title":"E-Journal of Translational Medicine"},{"issue":"1","key":"key2020110406481734100_ref503","doi-asserted-by":"crossref","first-page":"14331","DOI":"10.1038\/s41598-017-14753-7","article-title":"A fully-automatic multiparametric radiomics model: towards reproducible and prognostic imaging signature for prediction of overall survival in glioblastoma multiforme","volume":"7","year":"2017","journal-title":"Scientific Reports"},{"issue":"9","key":"key2020110406481734100_ref022","doi-asserted-by":"crossref","first-page":"3640","DOI":"10.1007\/s00330-017-5302-1","article-title":"Multiregional radiomics features from multiparametric MRI for prediction of MGMT methylation status in glioblastoma multiforme: a multicentre study","volume":"28","year":"2018","journal-title":"European Radiology"},{"volume-title":"Alzheimer's Disease Precision Medical Data Research Platform Construction and Application, Dissertation for Doctoral Degree","year":"2016","key":"key2020110406481734100_ref023"},{"issue":"6","key":"key2020110406481734100_ref024","doi-asserted-by":"crossref","first-page":"803","DOI":"10.1007\/s00401-016-1545-1","article-title":"The 2016 World health organization classification of tumors of the central nervous system: a summary","volume":"131","year":"2016","journal-title":"Acta Neuropathologica"},{"volume-title":"Research on the Image Classification of Brain Glioma Based on Machine Learning, Dissertation for Masteral Degree","year":"2017","key":"key2020110406481734100_ref025"},{"issue":"1","key":"key2020110406481734100_ref026","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1007\/s11060-017-2420-1","article-title":"Radiogenomics of lower-grade glioma algorithmically-assessed tumor shape is associated with tumor genomic subtypes and patient outcomes in a multi-institutional study with the Cancer Genome Atlas data","volume":"133","year":"2017","journal-title":"Journal of Neuro-Oncology"},{"issue":"13","key":"key2020110406481734100_ref027","doi-asserted-by":"crossref","first-page":"1351","DOI":"10.1001\/jama.2013.393","article-title":"The inevitable application of big data to health care","volume":"309","year":"2013","journal-title":"The Journal of the American Medical Association"},{"issue":"3","key":"key2020110406481734100_ref028","first-page":"217","article-title":"Glioma diagnosis and treatment specifications (2018)","volume":"35","author":"National Health and Wellness Committee of the People's Republic","year":"2019","journal-title":"Chinese Journal of Neurosurgery"},{"issue":"1","key":"key2020110406481734100_ref029","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1007\/s11060-016-2359-7","article-title":"Algorithmic three-dimensional analysis of tumor shape in MRI improves prognosis of survival in glioblastoma: a multiinstitutional study","volume":"132","year":"2017","journal-title":"Journal of Neuro-Oncology"},{"issue":"6","key":"key2020110406481734100_ref030","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1093\/jnen\/64.6.479","article-title":"Population-based studies on incidence, survival rates, and genetic alterations in astrocytic and oligodendroglial gliomas","volume":"64","year":"2005","journal-title":"Journal of Neuropathology and Experimental Neurology"},{"issue":"19","key":"key2020110406481734100_ref031","doi-asserted-by":"crossref","first-page":"6892","DOI":"10.1158\/0008-5472.CAN-04-1337","article-title":"Genetic pathways to glioblastoma a population-based study","volume":"64","year":"2004","journal-title":"Cancer Research"},{"issue":"5","key":"key2020110406481734100_ref032","first-page":"418","article-title":"Rarity of PTEN deletions and EGFR amplification in malignant gliomas of childhood: results from the Children's Cancer Group 945 cohort","volume":"105","year":"2006","journal-title":"Journal of Neurosurgery"},{"issue":"2","key":"key2020110406481734100_ref033","first-page":"21219","article-title":"Radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma: implications for personalized radiotherapy planning","volume":"5","year":"2018","journal-title":"Journal of Medical Imaging"},{"issue":"5","key":"key2020110406481734100_ref034","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1007\/s00401-010-0736-4","article-title":"Molecular diagnostics of gliomas: state of the art","volume":"120","year":"2010","journal-title":"Acta Neuropathologica"},{"issue":"3","key":"key2020110406481734100_ref035","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1080\/03091900701455524","article-title":"A wavelet-based optimal texture feature set for classification of brain tumours","volume":"32","year":"2008","journal-title":"Journal of Medical Engineering and Technology"},{"issue":"4","key":"key2020110406481734100_ref036","doi-asserted-by":"crossref","first-page":"1111","DOI":"10.1016\/j.ncl.2007.07.004","article-title":"Diagnosis and treatment of high-grade Astrocytoma","volume":"25","year":"2007","journal-title":"Neurological Clinical"},{"issue":"3","key":"key2020110406481734100_ref037","doi-asserted-by":"crossref","first-page":"636","DOI":"10.1200\/JCO.2000.18.3.636","article-title":"Alterations of chromosome arms 1p and 19q as predictors of survival in oligodendrogliomas, astrocytomas, and mixed oligoastrocytomas","volume":"18","year":"2000","journal-title":"Journal of Clinical Oncology"},{"issue":"44","key":"key2020110406481734100_ref038","doi-asserted-by":"crossref","first-page":"17933","DOI":"10.1073\/pnas.1317026110","article-title":"Evolutionary etiology of high-grade astrocytomas","volume":"110","year":"2013","journal-title":"Proceedings of the National Academy of Sciences of the United States of America"},{"issue":"5","key":"key2020110406481734100_ref039","doi-asserted-by":"crossref","first-page":"458","DOI":"10.1038\/ng.3273","article-title":"Mutational landscape and clonal architecture in grade II and III gliomas","volume":"47","year":"2015","journal-title":"Nature Genetics"},{"issue":"26","key":"key2020110406481734100_ref040","doi-asserted-by":"crossref","first-page":"2481","DOI":"10.1056\/NEJMoa1402121","article-title":"Comprehensive, integrative genomic analysis of diffuse lower-grade gliomas","volume":"372","author":"The Cancer Genome Atlas Research Network","year":"2015","journal-title":"New England Journal of Medicine"},{"issue":"2","key":"key2020110406481734100_ref041","first-page":"229","article-title":"Research progress of radiomics in glioma","volume":"26","year":"2018","journal-title":"Chinese Clinical Neuroscience"},{"issue":"5","key":"key2020110406481734100_ref042","first-page":"456","article-title":"Glioma research in the era of medical big data","volume":"43","year":"2016","journal-title":"Journal of International Neurology and Neurosurgery"},{"issue":"1","key":"key2020110406481734100_ref043","doi-asserted-by":"crossref","first-page":"11741","DOI":"10.1038\/s41598-017-12087-y","article-title":"Gene expression meta-analysis in diffuse low-grade glioma and the corresponding histological subtypes","volume":"7","year":"2017","journal-title":"Scientific Reports"},{"volume-title":"The Prediction of Gliomas Grading Based on Radiomics Features, Dissertation for Masteral Degree","year":"2018","key":"key2020110406481734100_ref044"},{"first-page":"21","volume-title":"Progress in the Diagnosis of Glioma by Genes","year":"2018","key":"key2020110406481734100_ref045"},{"issue":"19","key":"key2020110406481734100_ref046","doi-asserted-by":"crossref","first-page":"6899","DOI":"10.1073\/pnas.84.19.6899","article-title":"Increased expression of the epidermal growth factor receptor gene in malignant gliomas is invariably Associated with gene amplification","volume":"84","year":"1987","journal-title":"Proceedings of the National Academy of Sciences of the United States of America"},{"issue":"4","key":"key2020110406481734100_ref047","doi-asserted-by":"crossref","first-page":"893","DOI":"10.1109\/TMI.2017.2776967","article-title":"Sparse representation -based radiomics for the diagnosis of brain tumors","volume":"37","year":"2018","journal-title":"IEEE Trans Med Imaging"},{"issue":"8","key":"key2020110406481734100_ref048","doi-asserted-by":"crossref","first-page":"765","DOI":"10.1056\/NEJMoa0808710","article-title":"IDH1 and IDH2 mutations in gliomas","volume":"360","year":"2009","journal-title":"New England Journal of Medicine"},{"issue":"12","key":"key2020110406481734100_ref504","doi-asserted-by":"crossref","first-page":"1432","DOI":"10.1093\/neuonc\/nos263","article-title":"Molecular classification of gliomas based on whole genome gene expression: a systematic report of 225 samples from the Chinese Glioma Cooperative Group","volume":"14","year":"2012","journal-title":"Neuro-Oncology"},{"issue":"6","key":"key2020110406481734100_ref049","doi-asserted-by":"crossref","first-page":"1609","DOI":"10.1002\/mrm.22147","article-title":"Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme","volume":"62","year":"2009","journal-title":"Magnetic Resonance in Medicine"},{"issue":"1","key":"key2020110406481734100_ref050","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1093\/neuonc\/now121","article-title":"Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas","volume":"19","year":"2017","journal-title":"Neuro-Oncology"},{"issue":"32","key":"key2020110406481734100_ref051","first-page":"12","article-title":"Current status and progress in the treatment of brain glioma","volume":"16","year":"2018","journal-title":"Guide of China Medicine"},{"first-page":"81","volume-title":"Application and Research of Data Mining Technology in Community Medical Service System","year":"2015","key":"key2020110406481734100_ref052"},{"issue":"10","key":"key2020110406481734100_ref053","first-page":"44","article-title":"How long can patients with astrocytoma live?","year":"2016","journal-title":"Zhonghua Yangsheng Baojian"}],"container-title":["Library Hi Tech"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/LHT-08-2019-0173\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/LHT-08-2019-0173\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T22:14:59Z","timestamp":1753395299000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/lht\/article\/38\/4\/783-797\/453231"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,26]]},"references-count":57,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2020,5,26]]}},"alternative-id":["10.1108\/LHT-08-2019-0173"],"URL":"https:\/\/doi.org\/10.1108\/lht-08-2019-0173","relation":{},"ISSN":["0737-8831"],"issn-type":[{"type":"print","value":"0737-8831"}],"subject":[],"published":{"date-parts":[[2020,5,26]]}}}