20.500.12556/RUL-128766 Coding of glioblastoma progression and therapy resistance through long noncoding RNAs Glioblastoma is the most aggressive and lethal primary brain malignancy, with an average patient survival from diagnosis of 14 months. Glioblastoma also usually progresses as a more invasive phenotype after initial treatment. A major step forward in our understanding of the nature of glioblastoma was achieved with large-scale expression analysis. However, due to genomic complexity and heterogeneity, transcriptomics alone is not enough to define the glioblastoma "fingerprint", so epigenetic mechanisms are being examined, including the noncoding genome. On the basis of their tissue specificity, long noncoding RNAs (lncRNAs) are being explored as new diagnostic and therapeutic targets. In addition, growing evidence indicates that lncRNAs have various roles in resistance to glioblastoma therapies (e.g., MALAT1, H19) and in glioblastoma progression (e.g., CRNDE, HOTAIRM1, ASLNC22381, ASLNC20819). Investigations have also focused on the prognostic value of lncRNAs, as well as the definition of the molecular signatures of glioma, to provide more precise tumor classification. This review discusses the potential that lncRNAs hold for the development of novel diagnostic and, hopefully, therapeutic targets that can contribute to prolonged survival and improved quality of life for patients with glioblastoma. glioblastoma brain cancer noncoding genome biomarker prognosis glioblastom možganski rak nekodirani genom biološki označevalec prognoza true false true Angleški jezik Slovenski jezik Članek v reviji 2021-07-28 08:04:57 2021-07-28 08:05:01 2022-09-07 04:17:04 0000-00-00 00:00:00 2020 0 0 22 str. iss. 7, art. 1842 Vol. 12 2020 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 616-006 2072-6694 10.3390/cancers12071842 22155779 RAZ_Zottel_Alja_2020.pdf RAZ_Zottel_Alja_2020.pdf 1 579F23183B4293F463D342D164FCAB4C 9fd755c4633c6fe2149aca158245aed523ca5a7c3653642d3c0f445c4f4dc8a5 9530ec0b-ef69-11eb-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=145627 https://www.mdpi.com/2072-6694/12/7/1842 0 ee3cf891-ef69-11eb-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=145628 Medicinska fakulteta 0 0 0