217 related articles for article (PubMed ID: 33563042)
1. Identification of 6 gene markers for survival prediction in osteosarcoma cases based on multi-omics analysis.
Li R; Wang G; Wu Z; Lu H; Li G; Sun Q; Cai M
Exp Biol Med (Maywood); 2021 Jul; 246(13):1512-1523. PubMed ID: 33563042
[TBL] [Abstract][Full Text] [Related]
2. Transcriptome Analysis Identifies Novel Prognostic Genes in Osteosarcoma.
Chen J; Guo X; Zeng G; Liu J; Zhao B
Comput Math Methods Med; 2020; 2020():8081973. PubMed ID: 33082842
[TBL] [Abstract][Full Text] [Related]
3. A novel risk score model based on eight genes and a nomogram for predicting overall survival of patients with osteosarcoma.
Wu G; Zhang M
BMC Cancer; 2020 May; 20(1):456. PubMed ID: 32448271
[TBL] [Abstract][Full Text] [Related]
4. Identification of a 6-gene signature for the survival prediction of breast cancer patients based on integrated multi-omics data analysis.
Mo W; Ding Y; Zhao S; Zou D; Ding X
PLoS One; 2020; 15(11):e0241924. PubMed ID: 33170908
[TBL] [Abstract][Full Text] [Related]
5. Identification of seven-gene marker to predict the survival of patients with lung adenocarcinoma using integrated multi-omics data analysis.
Zhang S; Zeng X; Lin S; Liang M; Huang H
J Clin Lab Anal; 2022 Feb; 36(2):e24190. PubMed ID: 34951053
[TBL] [Abstract][Full Text] [Related]
6. Identification of N6-methylandenosine related LncRNAs biomarkers associated with the overall survival of osteosarcoma.
Zhang P; Xu K; Wang J; Zhang J; Quan H
BMC Cancer; 2021 Dec; 21(1):1285. PubMed ID: 34852770
[TBL] [Abstract][Full Text] [Related]
7. Identification of 9-Gene Epithelial-Mesenchymal Transition Related Signature of Osteosarcoma by Integrating Multi Cohorts.
Yiqi Z; Ziyun L; Qin F; Xingli W; Liyu Y
Technol Cancer Res Treat; 2020; 19():1533033820980769. PubMed ID: 33308057
[TBL] [Abstract][Full Text] [Related]
8. A humanized bone microenvironment uncovers HIF2 alpha as a latent marker for osteosarcoma.
Wagner F; Holzapfel BM; Martine LC; McGovern J; Lahr CA; Boxberg M; Prodinger PM; Grässel S; Loessner D; Hutmacher DW
Acta Biomater; 2019 Apr; 89():372-381. PubMed ID: 30836200
[TBL] [Abstract][Full Text] [Related]
9. Identification of 5 Gene Signatures in Survival Prediction for Patients with Lung Squamous Cell Carcinoma Based on Integrated Multiomics Data Analysis.
Ma H; Tong L; Zhang Q; Chang W; Li F
Biomed Res Int; 2020; 2020():6427483. PubMed ID: 32596344
[TBL] [Abstract][Full Text] [Related]
10. IRX1 hypomethylation in osteosarcoma metastasis.
Lu J; Wang J
Oncotarget; 2015 Jul; 6(19):16802-3. PubMed ID: 26158902
[No Abstract] [Full Text] [Related]
11. Identification of Differentially Expressed Genes under the Regulation of Transcription Factors in Osteosarcoma.
Liu Y; Guan J; Chen X
Pathol Oncol Res; 2019 Jul; 25(3):1091-1102. PubMed ID: 30411296
[TBL] [Abstract][Full Text] [Related]
12. A potential prognostic prediction model for metastatic osteosarcoma based on bioinformatics analysis.
Wang Y; Ming G; Gao B
Acta Orthop Belg; 2023 Sep; 89(3):373-380. PubMed ID: 37935218
[TBL] [Abstract][Full Text] [Related]
13. S1P/S1PR3 axis promotes aerobic glycolysis by YAP/c-MYC/PGAM1 axis in osteosarcoma.
Shen Y; Zhao S; Wang S; Pan X; Zhang Y; Xu J; Jiang Y; Li H; Zhang Q; Gao J; Yang Q; Zhou Y; Jiang S; Yang H; Zhang Z; Zhang R; Li J; Zhou D
EBioMedicine; 2019 Feb; 40():210-223. PubMed ID: 30587459
[TBL] [Abstract][Full Text] [Related]
14. Combined over-expression of the hypoxia-inducible factor 2α gene and its long non-coding RNA predicts unfavorable prognosis of patients with osteosarcoma.
Li W; He X; Xue R; Zhang Y; Zhang X; Lu J; Zhang Z; Xue L
Pathol Res Pract; 2016 Oct; 212(10):861-866. PubMed ID: 27623205
[TBL] [Abstract][Full Text] [Related]
15. Ferroptosis-related gene signature associates with immunity and predicts prognosis accurately in patients with osteosarcoma.
Lei T; Qian H; Lei P; Hu Y
Cancer Sci; 2021 Nov; 112(11):4785-4798. PubMed ID: 34506683
[TBL] [Abstract][Full Text] [Related]
16. Identification of a 3-gene signature based on differentially expressed invasion genes related to cancer molecular subtypes to predict the prognosis of osteosarcoma patients.
Wan Y; Qu N; Yang Y; Ma J; Li Z; Zhang Z
Bioengineered; 2021 Dec; 12(1):5916-5931. PubMed ID: 34488541
[TBL] [Abstract][Full Text] [Related]
17. Construction of a 5-gene prognostic signature based on oxidative stress related genes for predicting prognosis in osteosarcoma.
Hong X; Fu R
PLoS One; 2023; 18(12):e0295364. PubMed ID: 38039294
[TBL] [Abstract][Full Text] [Related]
18. Collagen Triple Helix Repeat Containing 1 Expression in Osteosarcoma: A New Predictor of Prognosis.
Liu Y; Abulimiti N; Wang C
Ann Clin Lab Sci; 2018 May; 48(3):338-344. PubMed ID: 29970438
[TBL] [Abstract][Full Text] [Related]
19. Monocarboxylate Transporter 4 (MCT4) Overexpression Is Correlated with Poor Prognosis of Osteosarcoma.
Liu Y; Sun X; Huo C; Sun C; Zhu J
Med Sci Monit; 2019 Jun; 25():4278-4284. PubMed ID: 31177263
[TBL] [Abstract][Full Text] [Related]
20. CRISPR-Cas9 screening identified lethal genes enriched in necroptosis pathway and of prognosis significance in osteosarcoma.
Cheng L; Xiong W; Li S; Wang G; Zhou J; Li H
J Gene Med; 2023 Dec; 25(12):e3563. PubMed ID: 37421290
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]