134 related articles for article (PubMed ID: 32328180)
1. Improved Prognostic Prediction of Glioblastoma using a PAS Detected from Single-cell RNA-seq.
Liu H; Yang Q; Xiong Y; Xiong Z; Li X
J Cancer; 2020; 11(13):3751-3761. PubMed ID: 32328180
[TBL] [Abstract][Full Text] [Related]
2. Integrated analysis of single-cell RNA-seq dataset and bulk RNA-seq dataset constructs a prognostic model for predicting survival in human glioblastoma.
Lai W; Li D; Kuang J; Deng L; Lu Q
Brain Behav; 2022 May; 12(5):e2575. PubMed ID: 35429411
[TBL] [Abstract][Full Text] [Related]
3. Development and validation of a nomogram with an autophagy-related gene signature for predicting survival in patients with glioblastoma.
Wang Z; Gao L; Guo X; Feng C; Lian W; Deng K; Xing B
Aging (Albany NY); 2019 Dec; 11(24):12246-12269. PubMed ID: 31844032
[TBL] [Abstract][Full Text] [Related]
4. Development of a Nomogram With Alternative Splicing Signatures for Predicting the Prognosis of Glioblastoma: A Study Based on Large-Scale Sequencing Data.
Wang Z; Gao L; Guo X; Feng C; Lian W; Deng K; Xing B
Front Oncol; 2020; 10():1257. PubMed ID: 32793502
[No Abstract] [Full Text] [Related]
5. Combining single-cell sequencing and spatial transcriptome sequencing to identify exosome-related features of glioblastoma and constructing a prognostic model to identify BARD1 as a potential therapeutic target for GBM patients.
Zhao S; Wang Q; Ni K; Zhang P; Liu Y; Xie J; Ji W; Cheng C; Zhou Q
Front Immunol; 2023; 14():1263329. PubMed ID: 37727789
[TBL] [Abstract][Full Text] [Related]
6. A Multielement Prognostic Nomogram Based on a Peripheral Blood Test, Conventional MRI and Clinical Factors for Glioblastoma.
Rao C; Jin J; Lu J; Wang C; Wu Z; Zhu Z; Tu M; Su Z; Li Q
Front Neurol; 2022; 13():822735. PubMed ID: 35250826
[TBL] [Abstract][Full Text] [Related]
7. Expression of hub genes of endothelial cells in glioblastoma-A prognostic model for GBM patients integrating single-cell RNA sequencing and bulk RNA sequencing.
Zhao S; Ji W; Shen Y; Fan Y; Huang H; Huang J; Lai G; Yuan K; Cheng C
BMC Cancer; 2022 Dec; 22(1):1274. PubMed ID: 36474171
[TBL] [Abstract][Full Text] [Related]
8. Development and Validation of a MRI-Based Radiomics Prognostic Classifier in Patients with Primary Glioblastoma Multiforme.
Chen X; Fang M; Dong D; Liu L; Xu X; Wei X; Jiang X; Qin L; Liu Z
Acad Radiol; 2019 Oct; 26(10):1292-1300. PubMed ID: 30660472
[TBL] [Abstract][Full Text] [Related]
9. A 5-gene prognostic nomogram predicting survival probability of glioblastoma patients.
Wang L; Yan Z; He X; Zhang C; Yu H; Lu Q
Brain Behav; 2019 Apr; 9(4):e01258. PubMed ID: 30859746
[TBL] [Abstract][Full Text] [Related]
10. Development and Validation of a Novel DNA Methylation-Driven Gene Based Molecular Classification and Predictive Model for Overall Survival and Immunotherapy Response in Patients With Glioblastoma: A Multiomic Analysis.
Wang Z; Gao L; Guo X; Lian W; Deng K; Xing B
Front Cell Dev Biol; 2020; 8():576996. PubMed ID: 33015072
[TBL] [Abstract][Full Text] [Related]
11. A Risk Classification System With Five-Gene for Survival Prediction of Glioblastoma Patients.
Wang Y; Liu X; Guan G; Zhao W; Zhuang M
Front Neurol; 2019; 10():745. PubMed ID: 31379707
[No Abstract] [Full Text] [Related]
12. Integration analysis of single-cell and spatial transcriptomics reveal the cellular heterogeneity landscape in glioblastoma and establish a polygenic risk model.
Liu Y; Wu Z; Feng Y; Gao J; Wang B; Lian C; Diao B
Front Oncol; 2023; 13():1109037. PubMed ID: 37397378
[TBL] [Abstract][Full Text] [Related]
13. Single-Cell RNA Sequencing Revealed a 3-Gene Panel Predicted the Diagnosis and Prognosis of Thyroid Papillary Carcinoma and Associated With Tumor Immune Microenvironment.
Chen Z; Wang Y; Li D; Le Y; Han Y; Jia L; Yan C; Tian Z; Song W; Li F; Zhao K; He X
Front Oncol; 2022; 12():862313. PubMed ID: 35359404
[TBL] [Abstract][Full Text] [Related]
14. Identification of a multidimensional transcriptome signature for survival prediction of postoperative glioblastoma multiforme patients.
Gao WZ; Guo LM; Xu TQ; Yin YH; Jia F
J Transl Med; 2018 Dec; 16(1):368. PubMed ID: 30572911
[TBL] [Abstract][Full Text] [Related]
15. A Novel Prognostic Signature of Transcription Factors for the Prediction in Patients With GBM.
Cheng Q; Huang C; Cao H; Lin J; Gong X; Li J; Chen Y; Tian Z; Fang Z; Huang J
Front Genet; 2019; 10():906. PubMed ID: 31632439
[No Abstract] [Full Text] [Related]
16. A four-gene signature-derived risk score for glioblastoma: prospects for prognostic and response predictive analyses.
Cao M; Cai J; Yuan Y; Shi Y; Wu H; Liu Q; Yao Y; Chen L; Dang W; Zhang X; Xiao J; Yang K; He Z; Yao X; Cui Y; Zhang X; Bian X
Cancer Biol Med; 2019 Aug; 16(3):595-605. PubMed ID: 31565488
[TBL] [Abstract][Full Text] [Related]
17. Identification of a RNA-seq-based signature to improve prognostics for uterine sarcoma.
Zhou JG; Zhao HT; Jin SH; Tian X; Ma H
Gynecol Oncol; 2019 Dec; 155(3):499-507. PubMed ID: 31662204
[TBL] [Abstract][Full Text] [Related]
18. Expression Profile Analysis Identifies a Novel Seven Immune-Related Gene Signature to Improve Prognosis Prediction of Glioblastoma.
Hu L; Han Z; Cheng X; Wang S; Feng Y; Lin Z
Front Genet; 2021; 12():638458. PubMed ID: 33708242
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. A 4-gene panel predicting the survival of patients with glioblastoma.
Guo XX; Su J; He XF
J Cell Biochem; 2019 Sep; 120(9):16037-16043. PubMed ID: 31081973
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]