{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T10:47:46Z","timestamp":1769251666749,"version":"3.49.0"},"reference-count":23,"publisher":"Georg Thieme Verlag KG","issue":"04","funder":[{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"crossref","award":["2020A1515010186"],"award-info":[{"award-number":["2020A1515010186"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["81972970,82172671"],"award-info":[{"award-number":["81972970,82172671"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Neurol Surg A Cent Eur Neurosurg"],"published-print":{"date-parts":[[2024,7]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>\n          Background\u2003Hypoxia is an important clinical feature of glioblastoma (GBM), which regulates a variety of tumor processes and is inseparable from radiotherapy. Accumulating evidence suggests that long noncoding RNAs (lncRNAs) are strongly associated with survival outcomes in GBM patients and modulate hypoxia-induced tumor processes. Therefore, the aim of this study was to establish a hypoxia-associated lncRNAs (HALs) prognostic model to predict survival outcomes in GBM patients.<\/jats:p><jats:p>\n          Methods\u2003LncRNAs in GBM samples were extracted from The Cancer Genome Atlas database. Hypoxia-related genes were downloaded from the Molecular Signature Database. Co-expression analysis of differentially expressed lncRNAs and hypoxia-related genes in GBM samples was performed to determine HALs. Six optimal lncRNAs were selected for building HALs models by univariate Cox regression analysis.<\/jats:p><jats:p>\n          Results\u2003The prediction model has a good predictive effect on the prognosis of GBM patients. Meanwhile, LINC00957 among the six lncRNAs was selected and subjected to pan-cancer landscape analysis.<\/jats:p><jats:p>\n          Conclusion\u2003Taken together, our findings suggest that the HALs assessment model can be used to predict the prognosis of GBM patients. In addition, LINC00957 included in the model may be a useful target to study the mechanism of cancer development and design individualized treatment strategies.<\/jats:p>","DOI":"10.1055\/a-2070-3715","type":"journal-article","created":{"date-parts":[[2023,4,6]],"date-time":"2023-04-06T22:57:23Z","timestamp":1680821843000},"page":"378-388","source":"Crossref","is-referenced-by-count":3,"title":["Prognostic Analysis of a Hypoxia-Associated lncRNA Signature in Glioblastoma and its Pan-Cancer Landscape"],"prefix":"10.1055","volume":"85","author":[{"given":"Yue","family":"Qin","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, Southern Medical University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaonan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, Southern Medical University, Guangzhou, 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