{"doi":"10.1007/s11060-017-2729-9","title":"Transforming growth factor beta induced (TGFBI) is a potential signature gene for mesenchymal subtype high-grade glioma","abstract":null,"journal":"Journal of Neuro-Oncology","year":2018,"id":621806,"datarank":0.5926865577872142,"base_score":3.9512437185814275,"endowment":3.9512437185814275,"self_citation_contribution":0.5926865577872142,"citation_network_contribution":0.0,"self_endowment_contribution":0.5926865577872142,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":51,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":24,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1605905,"name":"Chi-Hao Zhang","orcid":null,"position":1,"is_corresponding":false},{"id":1605906,"name":"Si-Qi Wang","orcid":null,"position":2,"is_corresponding":false},{"id":1605907,"name":"Peng-Hui Ai","orcid":null,"position":3,"is_corresponding":false},{"id":526909,"name":"Kui Chen","orcid":"0000-0002-7994-413X","position":4,"is_corresponding":false},{"id":939367,"name":"Liang Zhu","orcid":"0000-0001-9080-1378","position":5,"is_corresponding":false},{"id":1605908,"name":"Zhao-Liang Sun","orcid":null,"position":6,"is_corresponding":false},{"id":1605909,"name":"Dong-Fu Feng","orcid":"0000-0003-0886-1027","position":7,"is_corresponding":false},{"id":1605904,"name":"Yuan-Bo Pan","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Transforming growth factor beta induced (TGFBI) is a potential signature gene for mesenchymal subtype high-grade glioma","abstract":"Previous study revealed that higher expression of transforming growth factor beta induced (TGFBI) is correlated to poorer cancer-specific survival and higher proportion of tumor necrosis and Fuhrman grades III and IV in clear cell renal cell carcinomas. However, the relationships between TGFBI expression and malignant phenotypes of gliomas remain unclear. We downloaded and analyzed data from seven GEO datasets (GSE68848, GSE4290, GSE13041, GSE4271, GSE83300, GSE34824 and GSE84010), the TCGA database and the REMBRANDT database to investigate whether TGFBI could be a biomarker of glioma. From microarray data (GSE68848, GSE4290) and RNA-seq data (TCGA), TGFBI expression levels were observed to correlate positively with pathological grade, and TGFBI expression levels were significantly higher in gliomas than in normal brain tissues. Furthermore, in GSE13041, GSE4271 and the TCGA cohort, TGFBI expression in the mesenchymal (Mes) subtype high-grade glioma (HGG) was significantly higher than that in the proneural subtype. Kaplan-Meier survival analysis of GBM patients in the GSE83300 dataset, REMBRANDT and TCGA cohort revealed that patients in the top 50% TGFBI expression group survived for markedly shorter periods than those in the bottom 50%. Analysis of grade III gliomas showed that the median survival time was significantly shorter in the TGFBI high expression group than in the TGFBI low expression group. In addition, we found that TGFBI expression levels might relate to several classical molecular characterizations of glioma, such as, IDH mutation, TP53 mutation, EGFR amplification, etc. These results suggest that TGFBI expression positively correlates with glioma pathological grades and that TGFBI is a potential signature gene for Mes subtype HGG and a potential prognostic molecule.","is_dataset_classified":null,"base_score":3.9512437185814275,"endowment":3.9512437185814275,"datacite_reuse_total":24,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"29294230","pmcid":null,"openalex_id":"https://openalex.org/W2782032637","authors":[],"funders":[{"funder_name":"Ministry of Science and Technology of the People’s Republic of China","grant_id":"2016YFC0106104","title":null}],"total_grants":1,"fwci":5.641,"citation_percentile":0.96907216,"influential_citations":0,"citation_trend":[{"year":2018,"count":2},{"year":2019,"count":7},{"year":2020,"count":7},{"year":2021,"count":16},{"year":2022,"count":6},{"year":2023,"count":4},{"year":2024,"count":4},{"year":2025,"count":4},{"year":2026,"count":1}],"oa_status":"closed","license":"http://www.springer.com/tdm","oa_locations":[{"url":"http://link.springer.com/article/10.1007/s11060-017-2729-9/fulltext.html","host_type":"publisher"},{"url":"http://link.springer.com/content/pdf/10.1007/s11060-017-2729-9.pdf","host_type":"publisher"},{"url":"https://doi.org/10.1007/s11060-017-2729-9","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/29294230","host_type":"repository"}],"fields_of_study":["Glioma Diagnosis and Treatment","TGF-β signaling in diseases","Radiomics and Machine Learning in Medical Imaging","Biomarkers, Tumor","Brain","Brain Neoplasms","Cohort Studies","Gene Expression Regulation, Neoplastic","Glioma","Humans","Microarray Analysis","Necrosis","Neoplasm Grading","Transforming Growth Factor beta1"],"mesh_terms":["Brain","Brain Neoplasms","Glioma","Humans","Necrosis","Biomarkers, Tumor","Cohort Studies","Gene Expression Regulation, Neoplastic","Microarray Analysis","Transforming Growth Factor beta1","Neoplasm Grading"],"keywords":["TGFBI","Glioma","Cancer research","Immunohistochemistry","Pathological","Oncology","Biology","Medicine","Transforming growth factor","Pathology","Internal medicine","Biomarker","Mesenchymal","Tcga","Signature Gene"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Zero hunger"}],"linked_datasets":[{"doi":"10.6084/m9.figshare.14905884.v1","title":"Additional file 9 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Dataset"},{"doi":"10.6084/m9.figshare.14905881","title":"Additional file 8 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Image"},{"doi":"10.6084/m9.figshare.14905875.v1","title":"Additional file 6 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Dataset"},{"doi":"10.6084/m9.figshare.14905872.v1","title":"Additional file 5 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Dataset"},{"doi":"10.6084/m9.figshare.14905878.v1","title":"Additional file 7 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Image"},{"doi":"10.6084/m9.figshare.14905875","title":"Additional file 6 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Dataset"},{"doi":"10.6084/m9.figshare.14905872","title":"Additional file 5 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Dataset"},{"doi":"10.6084/m9.figshare.14905881.v1","title":"Additional file 8 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Image"},{"doi":"10.6084/m9.figshare.14905869","title":"Additional file 4 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Image"},{"doi":"10.6084/m9.figshare.14905866.v1","title":"Additional file 3 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Dataset"},{"doi":"10.6084/m9.figshare.14905878","title":"Additional file 7 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Image"},{"doi":"10.6084/m9.figshare.14905869.v1","title":"Additional file 4 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Image"},{"doi":"10.6084/m9.figshare.14905863.v1","title":"Additional file 2 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Image"},{"doi":"10.6084/m9.figshare.14905863","title":"Additional file 2 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Image"},{"doi":"10.6084/m9.figshare.14905857.v1","title":"Additional file 12 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Dataset"},{"doi":"10.6084/m9.figshare.14905860","title":"Additional file 1 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Dataset"},{"doi":"10.6084/m9.figshare.14905857","title":"Additional file 12 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Dataset"},{"doi":"10.6084/m9.figshare.14905854","title":"Additional file 11 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Dataset"},{"doi":"10.6084/m9.figshare.14905884","title":"Additional file 9 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Dataset"},{"doi":"10.6084/m9.figshare.14905866","title":"Additional file 3 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Dataset"},{"doi":"10.6084/m9.figshare.14905860.v1","title":"Additional file 1 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Dataset"},{"doi":"10.6084/m9.figshare.14905851","title":"Additional file 10 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Image"},{"doi":"10.6084/m9.figshare.14905851.v1","title":"Additional file 10 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Image"},{"doi":"10.6084/m9.figshare.14905854.v1","title":"Additional file 11 of Constructe a novel 5 hypoxia genes signature for cervical cancer","publisher":"figshare","resource_type":"Dataset"}],"clinical_trials":[],"software_tools":[],"database_accessions":[{"name":"geo"}],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-03T16:09:03.856964Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}