121 related articles for article (PubMed ID: 34142527)
1. [Master regulators associated with poor prognosis in glioblastoma multiforme].
Kalya MP; Beisbarth T; Kel A
Biomed Khim; 2021 May; 67(3):201-212. PubMed ID: 34142527
[TBL] [Abstract][Full Text] [Related]
2. IGFBP2 Is a Potential Master Regulator Driving the Dysregulated Gene Network Responsible for Short Survival in Glioblastoma Multiforme.
Kalya M; Kel A; Wlochowitz D; Wingender E; Beißbarth T
Front Genet; 2021; 12():670240. PubMed ID: 34211498
[TBL] [Abstract][Full Text] [Related]
3. Comprehensive Analysis of CD163 as a Prognostic Biomarker and Associated with Immune Infiltration in Glioblastoma Multiforme.
Li H; Wang D; Yi B; Cai H; Xi Z; Lou X; Li Z
Biomed Res Int; 2021; 2021():8357585. PubMed ID: 34395626
[TBL] [Abstract][Full Text] [Related]
4. Identification of potential crucial genes and molecular mechanisms in glioblastoma multiforme by bioinformatics analysis.
Chen X; Pan Y; Yan M; Bao G; Sun X
Mol Med Rep; 2020 Aug; 22(2):859-869. PubMed ID: 32467990
[TBL] [Abstract][Full Text] [Related]
5. Association between SNAP25 and human glioblastoma multiform: a comprehensive bioinformatic analysis.
Yu C; Yin J; Wang X; Chen L; Wei Y; Lu C; You Y
Biosci Rep; 2020 Jun; 40(6):. PubMed ID: 32412599
[TBL] [Abstract][Full Text] [Related]
6. High expression of RFX4 is associated with tumor progression and poor prognosis in patients with glioblastoma.
Jeong HY; Kim HJ; Kim CE; Lee S; Choi MC; Kim SH
Int J Neurosci; 2021 Jan; 131(1):7-14. PubMed ID: 32075484
[No Abstract] [Full Text] [Related]
7. New insights for precision treatment of glioblastoma from analysis of single-cell lncRNA expression.
Meng Q; Zhang Y; Li G; Li Y; Xie H; Chen X
J Cancer Res Clin Oncol; 2021 Jul; 147(7):1881-1895. PubMed ID: 33693962
[TBL] [Abstract][Full Text] [Related]
8. Gene co-expression network construction and analysis for identification of genetic biomarkers associated with glioblastoma multiforme using topological findings.
Redekar SS; Varma SL; Bhattacharjee A
J Egypt Natl Canc Inst; 2023 Jul; 35(1):22. PubMed ID: 37482563
[TBL] [Abstract][Full Text] [Related]
9. Identification of hub genes and regulatory factors of glioblastoma multiforme subgroups by RNA-seq data analysis.
Li Y; Min W; Li M; Han G; Dai D; Zhang L; Chen X; Wang X; Zhang Y; Yue Z; Liu J
Int J Mol Med; 2016 Oct; 38(4):1170-8. PubMed ID: 27572852
[TBL] [Abstract][Full Text] [Related]
10. Construction of co-expression modules related to survival by WGCNA and identification of potential prognostic biomarkers in glioblastoma.
Zhou J; Guo H; Liu L; Hao S; Guo Z; Zhang F; Gao Y; Wang Z; Zhang W
J Cell Mol Med; 2021 Feb; 25(3):1633-1644. PubMed ID: 33449451
[TBL] [Abstract][Full Text] [Related]
11. Unique genome-wide map of TCF4 and STAT3 targets using ChIP-seq reveals their association with new molecular subtypes of glioblastoma.
Zhang JX; Zhang J; Yan W; Wang YY; Han L; Yue X; Liu N; You YP; Jiang T; Pu PY; Kang CS
Neuro Oncol; 2013 Mar; 15(3):279-89. PubMed ID: 23295773
[TBL] [Abstract][Full Text] [Related]
12. The tumor microenvironment strongly impacts master transcriptional regulators and gene expression class of glioblastoma.
Cooper LA; Gutman DA; Chisolm C; Appin C; Kong J; Rong Y; Kurc T; Van Meir EG; Saltz JH; Moreno CS; Brat DJ
Am J Pathol; 2012 May; 180(5):2108-19. PubMed ID: 22440258
[TBL] [Abstract][Full Text] [Related]
13. Bioinformatics analysis of potential core genes for glioblastoma.
Zhang Y; Yang X; Zhu XL; Hao JQ; Bai H; Xiao YC; Wang ZZ; Hao CY; Duan HB
Biosci Rep; 2020 Jul; 40(7):. PubMed ID: 32667033
[TBL] [Abstract][Full Text] [Related]
14. Annexin A2-STAT3-Oncostatin M receptor axis drives phenotypic and mesenchymal changes in glioblastoma.
Matsumoto Y; Ichikawa T; Kurozumi K; Otani Y; Fujimura A; Fujii K; Tomita Y; Hattori Y; Uneda A; Tsuboi N; Kaneda K; Makino K; Date I
Acta Neuropathol Commun; 2020 Apr; 8(1):42. PubMed ID: 32248843
[TBL] [Abstract][Full Text] [Related]
15. The regulatory pattern of target gene expression by aberrant enhancer methylation in glioblastoma.
Zhao X; Ji J; Wang S; Wang R; Yu Q; Li D
BMC Bioinformatics; 2021 Sep; 22(1):420. PubMed ID: 34482818
[TBL] [Abstract][Full Text] [Related]
16. Establish six-gene prognostic model for glioblastoma based on multi-omics data of TCGA database.
Lei CG; Jia XY; Sun WJ
Yi Chuan; 2021 Jul; 43(7):665-679. PubMed ID: 34284982
[TBL] [Abstract][Full Text] [Related]
17. Identification of glioblastoma gene prognosis modules based on weighted gene co-expression network analysis.
Xu P; Yang J; Liu J; Yang X; Liao J; Yuan F; Xu Y; Liu B; Chen Q
BMC Med Genomics; 2018 Nov; 11(1):96. PubMed ID: 30382873
[TBL] [Abstract][Full Text] [Related]
18. Construction of lncRNA-associated ceRNA networks to identify prognostic lncRNA biomarkers for glioblastoma.
Liu Z; Wang X; Yang G; Zhong C; Zhang R; Ye J; Zhong Y; Hu J; Ozal B; Zhao S
J Cell Biochem; 2020 Jul; 121(7):3502-3515. PubMed ID: 32277520
[TBL] [Abstract][Full Text] [Related]
19. Identification of Immune-Related lncRNA Prognostic Signature and Molecular Subtypes for Glioblastoma.
Yu W; Ma Y; Hou W; Wang F; Cheng W; Qiu F; Wu P; Zhang G
Front Immunol; 2021; 12():706936. PubMed ID: 34899682
[TBL] [Abstract][Full Text] [Related]
20. Analysis of the cancer genome atlas (TCGA) database identifies an inverse relationship between interleukin-13 receptor α1 and α2 gene expression and poor prognosis and drug resistance in subjects with glioblastoma multiforme.
Han J; Puri RK
J Neurooncol; 2018 Feb; 136(3):463-474. PubMed ID: 29168083
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]