These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
380 related articles for article (PubMed ID: 33406529)
1. Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression. Rahman MH; Rana HK; Peng S; Hu X; Chen C; Quinn JMW; Moni MA Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33406529 [TBL] [Abstract][Full Text] [Related]
2. Evaluation of secretome biomarkers in glioblastoma cancer stem cells: A bioinformatics analysis. Jangholi E; Tehran HA; Ghasemi A; Hoseinian M; Firoozi S; Ghodsi SM; Tamaddon M; Bereimipour A; Hadjighassem M Cancer Rep (Hoboken); 2024 Jul; 7(7):e2080. PubMed ID: 38967113 [TBL] [Abstract][Full Text] [Related]
3. 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]
4. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma. Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538 [TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Computational analysis and verification of molecular genetic targets for glioblastoma. Xue L; Liu H; Chen Y; Wei L; Hong J Biosci Rep; 2020 Jun; 40(6):. PubMed ID: 32469390 [TBL] [Abstract][Full Text] [Related]
8. Screening the Significant Hub Genes by Comparing Tumor Cells, Normoxic and Hypoxic Glioblastoma Stem-like Cell Lines Using Co-Expression Analysis in Glioblastoma. Güven E; Afzal M; Kazmi I Genes (Basel); 2022 Mar; 13(3):. PubMed ID: 35328072 [TBL] [Abstract][Full Text] [Related]
9. Oncogenic miR‑132 sustains proliferation and self‑renewal potential by inhibition of polypyrimidine tract‑binding protein 2 in glioblastoma cells. Lou S; Ji J; Cheng X; Ruan J; Li R; Guo Z Mol Med Rep; 2017 Nov; 16(5):7221-7228. PubMed ID: 28944929 [TBL] [Abstract][Full Text] [Related]
10. ZWINT: A potential therapeutic biomarker in patients with glioblastoma correlates with cell proliferation and invasion. Yang L; Han N; Zhang X; Zhou Y; Chen R; Zhang M Oncol Rep; 2020 Jun; 43(6):1831-1844. PubMed ID: 32323832 [TBL] [Abstract][Full Text] [Related]
11. Non-negative matrix factorization and differential expression analyses identify hub genes linked to progression and prognosis of glioblastoma multiforme. Akçay S; Güven E; Afzal M; Kazmi I Gene; 2022 May; 824():146395. PubMed ID: 35283227 [TBL] [Abstract][Full Text] [Related]
12. A 63 signature genes prediction system is effective for glioblastoma prognosis. Zhang Y; Xu J; Zhu X Int J Mol Med; 2018 Apr; 41(4):2070-2078. PubMed ID: 29393370 [TBL] [Abstract][Full Text] [Related]
13. 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]
14. PBK as a Potential Biomarker Associated with Prognosis of Glioblastoma. Dong C; Fan W; Fang S J Mol Neurosci; 2020 Jan; 70(1):56-64. PubMed ID: 31617063 [TBL] [Abstract][Full Text] [Related]
15. Identification of novel prognostic targets in glioblastoma using bioinformatics analysis. Yin X; Wu Q; Hao Z; Chen L Biomed Eng Online; 2022 Apr; 21(1):26. PubMed ID: 35436915 [TBL] [Abstract][Full Text] [Related]
16. Bioinformatical Analysis of Gene Expression Omnibus Database Associates TAF7/CCNB1, TAF7/CCNA2, and GTF2E2/CDC20 Pathways with Glioblastoma Development and Prognosis. Yang L; Zeng W; Sun H; Huang F; Yang C; Cai X; Lu Y; Zeng J; Yang K World Neurosurg; 2020 Jun; 138():e492-e514. PubMed ID: 32147549 [TBL] [Abstract][Full Text] [Related]
17. Multi-omics analysis predicts fibronectin 1 as a prognostic biomarker in glioblastoma multiforme. Kabir F; Apu MNH Genomics; 2022 May; 114(3):110378. PubMed ID: 35513291 [TBL] [Abstract][Full Text] [Related]
18. Bioinformatics analysis of gene expression profiles to diagnose crucial and novel genes in glioblastoma multiform. Vastrad C; Vastrad B Pathol Res Pract; 2018 Sep; 214(9):1395-1461. PubMed ID: 30097214 [TBL] [Abstract][Full Text] [Related]
19. Identification of key genes involved in the recurrence of glioblastoma multiforme using weighted gene co-expression network analysis and differential expression analysis. Ren P; Wang J; Li L; Lin X; Wu G; Chen J; Zeng Z; Zhang H Bioengineered; 2021 Dec; 12(1):3188-3200. PubMed ID: 34238116 [TBL] [Abstract][Full Text] [Related]
20. Identification of Key Pathways and Genes in the Orai2 Mediated Classical and Mesenchymal Subtype of Glioblastoma by Bioinformatic Analyses. Yuan F; Yi L; Hai L; Wang Y; Yang Y; Li T; Tong L; Ma H; Liu P; Ming H; Ren B; Yu S; Lin Y; Yang X Dis Markers; 2019; 2019():7049294. PubMed ID: 31772693 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]