213 related articles for article (PubMed ID: 36387908)
1. Identification of risk model based on glycolysis-related genes in the metastasis of osteosarcoma.
Huang W; Xiao Y; Wang H; Chen G; Li K
Front Endocrinol (Lausanne); 2022; 13():1047433. PubMed ID: 36387908
[TBL] [Abstract][Full Text] [Related]
2. Identification of glycolysis genes signature for predicting prognosis in malignant pleural mesothelioma by bioinformatics and machine learning.
Xiao Y; Huang W; Zhang L; Wang H
Front Endocrinol (Lausanne); 2022; 13():1056152. PubMed ID: 36523602
[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. A novel risk score model based on glycolysis-related genes and a prognostic model for predicting overall survival of osteosarcoma patients.
Chen W; Lin Y; Huang J; Yan Z; Cao H
J Orthop Res; 2022 Oct; 40(10):2372-2381. PubMed ID: 34997639
[TBL] [Abstract][Full Text] [Related]
5. MCAM is associated with metastasis and poor prognosis in osteosarcoma by modulating tumor cell migration.
Du X; Zhang Q; Wang S; Chen X; Wang Y
J Clin Lab Anal; 2022 Feb; 36(2):e24214. PubMed ID: 34961985
[TBL] [Abstract][Full Text] [Related]
6. Establishment of an Autophagy-Related Clinical Prognosis Model for Predicting the Overall Survival of Osteosarcoma.
Li J; Tang X; Du Y; Dong J; Zhao Z; Hu H; Song T; Guo J; Wang Y; Xu T; Shao C; Sheng Y; Xi Y
Biomed Res Int; 2021; 2021():5428425. PubMed ID: 34604383
[TBL] [Abstract][Full Text] [Related]
7. Two novel predictive biomarkers for osteosarcoma and glycolysis pathways: A profiling study on HS2ST1 and SDC3.
Yang G; Jiang J; Yin R; Li Z; Li L; Gao F; Liu C; Zhan X
Medicine (Baltimore); 2022 Sep; 101(36):e30192. PubMed ID: 36086752
[TBL] [Abstract][Full Text] [Related]
8. Comprehensive analysis of a glycolysis and cholesterol synthesis-related genes signature for predicting prognosis and immune landscape in osteosarcoma.
Xu F; Yan J; Peng Z; Liu J; Li Z
Front Immunol; 2022; 13():1096009. PubMed ID: 36618348
[TBL] [Abstract][Full Text] [Related]
9. Identification of a novel glycolysis-related gene signature for predicting the prognosis of osteosarcoma patients.
Yang M; Ma X; Wang Z; Zhang T; Hua Y; Cai Z
Aging (Albany NY); 2021 May; 13(9):12896-12918. PubMed ID: 33952718
[TBL] [Abstract][Full Text] [Related]
10. Signature constructed by glycolysis-immune-related genes can predict the prognosis of osteosarcoma patients.
Tian K; Qi W; Yan Q; Lv M; Song D
Invest New Drugs; 2022 Aug; 40(4):818-830. PubMed ID: 35435626
[TBL] [Abstract][Full Text] [Related]
11. N6-methyladenosine Modification-Related Long Non-Coding RNAs are Potential Biomarkers for Predicting the Prognosis of Patients With Osteosarcoma.
Yang K; Wang F; Li K; Peng G; Yang H; Xu H; Xiang Y; Sun H
Technol Cancer Res Treat; 2022; 21():15330338221085354. PubMed ID: 35422168
[No Abstract] [Full Text] [Related]
12. Construction of a prognostic risk score model based on the ARHGAP family to predict the survival of osteosarcoma.
Liu W; Xia K; Zheng D; Huang X; Wei Z; Wei Z; Guo W
BMC Cancer; 2023 Dec; 23(1):1179. PubMed ID: 38041020
[TBL] [Abstract][Full Text] [Related]
13. Prognostic value of a novel glycolysis-related gene expression signature for gastrointestinal cancer in the Asian population.
Xia R; Tang H; Shen J; Xu S; Liang Y; Zhang Y; Gong X; Min Y; Zhang D; Tao C; Wang S; Zhang Y; Yang J; Wang C
Cancer Cell Int; 2021 Mar; 21(1):154. PubMed ID: 33663535
[TBL] [Abstract][Full Text] [Related]
14. Apoptosis-related genes-based prognostic signature for osteosarcoma.
Yang F; Zhang Y
Aging (Albany NY); 2022 May; 14(9):3813-3825. PubMed ID: 35504036
[TBL] [Abstract][Full Text] [Related]
15. Construction and Validation of a Macrophage-Associated Risk Model for Predicting the Prognosis of Osteosarcoma.
Xiao KW; Liu ZB; Zeng ZH; Yan FF; Xiao LF; Li JL; Cai L
J Oncol; 2021; 2021():9967954. PubMed ID: 34188683
[TBL] [Abstract][Full Text] [Related]
16. Prognostic model of invasive ductal carcinoma of the breast based on differentially expressed glycolysis-related genes.
Li X; Yu Q; Chen J; Huang H; Liu Z; Wang C; He Y; Zhang X; Li W; Li C; Zhao J; Long W
PeerJ; 2020; 8():e10249. PubMed ID: 33194424
[TBL] [Abstract][Full Text] [Related]
17. Machine learning and experimental validation to construct a metastasis-related gene signature and ceRNA network for predicting osteosarcoma prognosis.
Liao Y; Liu Q; Xiao C; Zhou J
J Orthop Surg Res; 2022 Dec; 17(1):516. PubMed ID: 36457129
[TBL] [Abstract][Full Text] [Related]
18. Integration of single-cell RNA sequencing and bulk RNA sequencing to reveal an immunogenic cell death-related 5-gene panel as a prognostic model for osteosarcoma.
Yang J; Zhang J; Na S; Wang Z; Li H; Su Y; Ji L; Tang X; Yang J; Xu L
Front Immunol; 2022; 13():994034. PubMed ID: 36225939
[TBL] [Abstract][Full Text] [Related]
19. A support vector machine classifier for the prediction of osteosarcoma metastasis with high accuracy.
He Y; Ma J; Ye X
Int J Mol Med; 2017 Nov; 40(5):1357-1364. PubMed ID: 28901446
[TBL] [Abstract][Full Text] [Related]
20. circPVT1 promotes osteosarcoma glycolysis and metastasis by sponging miR-423-5p to activate Wnt5a/Ror2 signaling.
Wan J; Liu Y; Long F; Tian J; Zhang C
Cancer Sci; 2021 May; 112(5):1707-1722. PubMed ID: 33369809
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
