256 related articles for article (PubMed ID: 35078433)
1. The role of SPI1-TYROBP-FCER1G network in oncogenesis and prognosis of osteosarcoma, and its association with immune infiltration.
Li J; Shi H; Yuan Z; Wu Z; Li H; Liu Y; Lu M; Lu M
BMC Cancer; 2022 Jan; 22(1):108. PubMed ID: 35078433
[TBL] [Abstract][Full Text] [Related]
2. Identification of TYROBP and FCER1G as Key Genes with Prognostic Value in Clear Cell Renal Cell Carcinoma by Bioinformatics Analysis.
Wang L; Lin Y; Yuan Y; Liu F; Sun K
Biochem Genet; 2021 Oct; 59(5):1278-1294. PubMed ID: 33786672
[TBL] [Abstract][Full Text] [Related]
3. Elevated TYROBP expression predicts poor prognosis and high tumor immune infiltration in patients with low-grade glioma.
Lu J; Peng Y; Huang R; Feng Z; Fan Y; Wang H; Zeng Z; Ji Y; Wang Y; Wang Z
BMC Cancer; 2021 Jun; 21(1):723. PubMed ID: 34162355
[TBL] [Abstract][Full Text] [Related]
4. Novel biomarkers identified by weighted gene co-expression network analysis for atherosclerosis.
Ni J; Huang K; Xu J; Lu Q; Chen C
Herz; 2024 Jun; 49(3):198-209. PubMed ID: 37721628
[TBL] [Abstract][Full Text] [Related]
5. TYRO protein tyrosine kinase-binding protein predicts favorable overall survival in osteosarcoma and correlates with antitumor immunity.
Xu HR; Chen JJ; Shen JM; Ding WH; Chen J
Medicine (Baltimore); 2022 Sep; 101(39):e30878. PubMed ID: 36181123
[TBL] [Abstract][Full Text] [Related]
6. Identification of hub genes related to metastasis and prognosis of osteosarcoma and establishment of a prognostic model with bioinformatic methods.
Fu Z; Sun G; Li J; Yu H
Medicine (Baltimore); 2024 Jun; 103(23):e38470. PubMed ID: 38847690
[TBL] [Abstract][Full Text] [Related]
7. Identification of Key Genes and Pathways in Osteosarcoma by Bioinformatics Analysis.
Chen X; Zhang N; Zheng Y; Tong Z; Yang T; Kang X; He Y; Dong L
Comput Math Methods Med; 2022; 2022():7549894. PubMed ID: 35075370
[TBL] [Abstract][Full Text] [Related]
8. TYROBP, TLR4 and ITGAM regulated macrophages polarization and immune checkpoints expression in osteosarcoma.
Liang T; Chen J; Xu G; Zhang Z; Xue J; Zeng H; Jiang J; Chen T; Qin Z; Li H; Ye Z; Nie Y; Liu C; Zhan X
Sci Rep; 2021 Sep; 11(1):19315. PubMed ID: 34588497
[TBL] [Abstract][Full Text] [Related]
9. Expression of miR‑542‑3p in osteosarcoma with miRNA microarray data, and its potential signaling pathways.
Li Z; Yao JN; Huang WT; He RQ; Ma J; Chen G; Wei QJ
Mol Med Rep; 2019 Feb; 19(2):974-983. PubMed ID: 30569116
[TBL] [Abstract][Full Text] [Related]
10. CENPE, PRC1, TTK, and PLK4 May Play Crucial Roles in the Osteosarcoma Progression.
Wang F; Zhao Q; Liu W; Kong D
Technol Cancer Res Treat; 2020; 19():1533033820973278. PubMed ID: 33176597
[TBL] [Abstract][Full Text] [Related]
11. An Exploration of Osteosarcoma Metastasis Diagnostic Markers Based on Tumor-Associated Neutrophils.
Tan S; Chao R
Discov Med; 2023 Jun; 35(176):300-311. PubMed ID: 37272097
[TBL] [Abstract][Full Text] [Related]
12. Role of miRNA-542-5p in the tumorigenesis of osteosarcoma.
Zhu T; Fan D; Ye K; Liu B; Cui Z; Liu Z; Tian Y
FEBS Open Bio; 2020 Apr; 10(4):627-636. PubMed ID: 32105410
[TBL] [Abstract][Full Text] [Related]
13. FN1, SPARC, and SERPINE1 are highly expressed and significantly related to a poor prognosis of gastric adenocarcinoma revealed by microarray and bioinformatics.
Li L; Zhu Z; Zhao Y; Zhang Q; Wu X; Miao B; Cao J; Fei S
Sci Rep; 2019 May; 9(1):7827. PubMed ID: 31127138
[TBL] [Abstract][Full Text] [Related]
14. Identification of potential crucial genes and key pathways in osteosarcoma.
Liu J; Wu S; Xie X; Wang Z; Lei Q
Hereditas; 2020 Jul; 157(1):29. PubMed ID: 32665038
[TBL] [Abstract][Full Text] [Related]
15. Integrative analyses of ferroptosis and immune related biomarkers and the osteosarcoma associated mechanisms.
Li G; Lei J; Xu D; Yu W; Bai J; Wu G
Sci Rep; 2023 Apr; 13(1):5770. PubMed ID: 37031292
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Identification of Key Genes and Pathways in Myeloma side population cells by Bioinformatics Analysis.
Yang Q; Li K; Li X; Liu J
Int J Med Sci; 2020; 17(14):2063-2076. PubMed ID: 32922167
[No Abstract] [Full Text] [Related]
18. Database Mining of Genes of Prognostic Value for the Prostate Adenocarcinoma Microenvironment Using the Cancer Gene Atlas.
Zhao X; Hu D; Li J; Zhao G; Tang W; Cheng H
Biomed Res Int; 2020; 2020():5019793. PubMed ID: 32509861
[TBL] [Abstract][Full Text] [Related]
19. Development of an immune-related prognostic index associated with osteosarcoma.
Yin CD; Hou YL; Liu XR; He YS; Wang XP; Li CJ; Tan XH; Liu J
Bioengineered; 2021 Dec; 12(1):172-182. PubMed ID: 33371790
[TBL] [Abstract][Full Text] [Related]
20. Identification of potential micro-messenger RNAs (miRNA-mRNA) interaction network of osteosarcoma.
Xu K; Zhang P; Zhang J; Quan H; Wang J; Liang Y
Bioengineered; 2021 Dec; 12(1):3275-3293. PubMed ID: 34252359
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
