Literature DB >> 33028081

Identification of a three-long non-coding RNA signature for predicting survival of temozolomide-treated isocitrate dehydrogenase mutant low-grade gliomas.

Ruichun Li1, Wei Chen1, Ping Mao1, Jia Wang1, Jiangpeng Jing1, Qinli Sun2, Maode Wang1, Xiao Yu1.   

Abstract

Temozolomide (TMZ) is the major chemotherapy agent in glioma, and isocitrate dehydrogenase (IDH) is a well-known prognostic marker in glioma. O6-methylguanine-DNA methyltransferase promoter methylation (MGMTmethyl) is a predictive biomarker in overall gliomas rather than in IDH mutant gliomas. To discover effective biomarkers that could predict TMZ efficacy in IDH mutant low-grade gliomas (LGGs), we retrieved data of IDH mutant LGGs from TMZ arm of the EORTC22033-26033 trial as the training-set (n = 83), analyzed correlations between long non-coding RNAs (lncRNAs) and progression-free survival (PFS) using Lasso-Cox regression, and created a risk score (RS) to stratify patients. We identified a three-lncRNA signature in TMZ-treated IDH mutant LGGs. All of the three lncRNAs, as well as the RS derived, were significantly correlated with PFS. Patients were classified into high-risk and low-risk groups according to RS. PFS of the high-risk group was significantly worse than that of the low-risk group (P < 0.001). AUCs of the three-, four-, and five-year survival probability predicted by RS were 0.73, 0.79, and 0.76, respectively. The predictive role of the three-lncRNA signature was further validated in an independent testing-set, the TCGA-LGGs, which resulted in a significantly worse PFS (P < 0.001) in the high-risk group. Three-, four-, and five-year survival probabilities predicted by RS were 0.65, 0.69, and 0.84, respectively. Functions of these three lncRNAs involve cell proliferation and differentiation, predicted by their targeting cancer genes. Conclusively, we created a scoring model based on the expression of three lncRNAs, which can effectively predict the survival of IDH mutant LGGs treated with TMZ.

Entities:  

Keywords:  Low-grade glioma; isocitrate dehydrogenase; long non-coding RNA; risk score; signature; temozolomide

Mesh:

Substances:

Year:  2020        PMID: 33028081      PMCID: PMC7871116          DOI: 10.1177/1535370220962715

Source DB:  PubMed          Journal:  Exp Biol Med (Maywood)        ISSN: 1535-3699


  40 in total

1.  Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas.

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Journal:  N Engl J Med       Date:  2015-06-10       Impact factor: 91.245

2.  1p/19q loss within oligodendroglioma is predictive for response to first line temozolomide but not to salvage treatment.

Authors:  Mathilde C M Kouwenhoven; Johan M Kros; Pim J French; Elize M Biemond-ter Stege; Wilfried J Graveland; Martin J B Taphoorn; Alba A Brandes; Martin J van den Bent
Journal:  Eur J Cancer       Date:  2006-08-17       Impact factor: 9.162

Review 3.  Functional Roles of the E3 Ubiquitin Ligase UBR5 in Cancer.

Authors:  Robert F Shearer; Mary Iconomou; Colin K W Watts; Darren N Saunders
Journal:  Mol Cancer Res       Date:  2015-10-13       Impact factor: 5.852

4.  Expression-based intrinsic glioma subtypes are prognostic in low-grade gliomas of the EORTC22033-26033 clinical trial.

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Journal:  Eur J Cancer       Date:  2018-03-20       Impact factor: 9.162

5.  Regularization Paths for Generalized Linear Models via Coordinate Descent.

Authors:  Jerome Friedman; Trevor Hastie; Rob Tibshirani
Journal:  J Stat Softw       Date:  2010       Impact factor: 6.440

6.  A sequence variant in ZFHX3 on 16q22 associates with atrial fibrillation and ischemic stroke.

Authors:  Daniel F Gudbjartsson; Hilma Holm; Solveig Gretarsdottir; Gudmar Thorleifsson; G Bragi Walters; Gudmundur Thorgeirsson; Jeffrey Gulcher; Ellisiv B Mathiesen; Inger Njølstad; Audhild Nyrnes; Tom Wilsgaard; Erin M Hald; Kristian Hveem; Camilla Stoltenberg; Gayle Kucera; Tanya Stubblefield; Shannon Carter; Dan Roden; Maggie C Y Ng; Larry Baum; Wing Yee So; Ka Sing Wong; Juliana C N Chan; Christian Gieger; H-Erich Wichmann; Andreas Gschwendtner; Martin Dichgans; Gregor Kuhlenbäumer; Klaus Berger; E Bernd Ringelstein; Steve Bevan; Hugh S Markus; Konstantinos Kostulas; Jan Hillert; Sigurlaug Sveinbjörnsdóttir; Einar M Valdimarsson; Maja-Lisa Løchen; Ronald C W Ma; Dawood Darbar; Augustine Kong; David O Arnar; Unnur Thorsteinsdottir; Kari Stefansson
Journal:  Nat Genet       Date:  2009-07-13       Impact factor: 38.330

7.  Repression of the human dihydrofolate reductase gene by a non-coding interfering transcript.

Authors:  Igor Martianov; Aroul Ramadass; Ana Serra Barros; Natalie Chow; Alexandre Akoulitchev
Journal:  Nature       Date:  2007-01-21       Impact factor: 49.962

8.  RIblast: an ultrafast RNA-RNA interaction prediction system based on a seed-and-extension approach.

Authors:  Tsukasa Fukunaga; Michiaki Hamada
Journal:  Bioinformatics       Date:  2017-09-01       Impact factor: 6.937

9.  The DNA methylome of DDR genes and benefit from RT or TMZ in IDH mutant low-grade glioma treated in EORTC 22033.

Authors:  Pierre Bady; Sebastian Kurscheid; Mauro Delorenzi; Thierry Gorlia; Martin J van den Bent; Khê Hoang-Xuan; Élodie Vauléon; Anja Gijtenbeek; Roelien Enting; Brian Thiessen; Olivier Chinot; Frédéric Dhermain; Alba A Brandes; Jaap C Reijneveld; Christine Marosi; Martin J B Taphoorn; Wolfgang Wick; Andreas von Deimling; Pim French; Roger Stupp; Brigitta G Baumert; Monika E Hegi
Journal:  Acta Neuropathol       Date:  2018-01-24       Impact factor: 15.887

10.  LncRRIsearch: A Web Server for lncRNA-RNA Interaction Prediction Integrated With Tissue-Specific Expression and Subcellular Localization Data.

Authors:  Tsukasa Fukunaga; Junichi Iwakiri; Yukiteru Ono; Michiaki Hamada
Journal:  Front Genet       Date:  2019-05-28       Impact factor: 4.599

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