155 related articles for article (PubMed ID: 38521928)
1. Identification of allograft inflammatory factor-1 suppressing the progression and indicating good prognosis of osteosarcoma.
Liu W; Shi T; Zheng D; Ke G; Chen J
BMC Musculoskelet Disord; 2024 Mar; 25(1):233. PubMed ID: 38521928
[TBL] [Abstract][Full Text] [Related]
2. Identification of key biomarkers and functional pathways in osteosarcomas with lung metastasis: Evidence from bioinformatics analysis.
Liu D; Zhou R; Zhou A
Medicine (Baltimore); 2021 Feb; 100(6):e24471. PubMed ID: 33578541
[TBL] [Abstract][Full Text] [Related]
3. Identification of hub genes specific to pulmonary metastasis in osteosarcoma through integrated bioinformatics analysis.
Chai Y; Xu L; He R; Zhong L; Wang Y
Technol Health Care; 2022; 30(3):735-745. PubMed ID: 34542049
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Identification of potential crucial genes and construction of microRNA-mRNA negative regulatory networks in osteosarcoma.
Pan Y; Lu L; Chen J; Zhong Y; Dai Z
Hereditas; 2018; 155():21. PubMed ID: 29760609
[TBL] [Abstract][Full Text] [Related]
6. Integrative analyses of key genes and regulatory elements in fluoride-affected osteosarcoma.
Li M; Jin X; Guo F; Wu G; Wu L; Deng S
J Cell Biochem; 2019 Sep; 120(9):15397-15409. PubMed ID: 31037778
[TBL] [Abstract][Full Text] [Related]
7. Identification of potential biomarkers of gout through competitive endogenous RNA network analysis.
Li Y; Huang C; Yang Z; Wang L; Luo D; Qi L; Li Z; Huang Y
Eur J Pharm Sci; 2022 Jun; 173():106180. PubMed ID: 35378210
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Screening and identification of key biomarkers in hepatocellular carcinoma: Evidence from bioinformatic analysis.
Li L; Lei Q; Zhang S; Kong L; Qin B
Oncol Rep; 2017 Nov; 38(5):2607-2618. PubMed ID: 28901457
[TBL] [Abstract][Full Text] [Related]
10. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Identification of critical genes associated with human osteosarcoma metastasis based on integrated gene expression profiling.
Fan H; Lu S; Wang S; Zhang S
Mol Med Rep; 2019 Aug; 20(2):915-930. PubMed ID: 31173206
[TBL] [Abstract][Full Text] [Related]
13. Exploring the molecular mechanisms of osteosarcoma by the integrated analysis of mRNAs and miRNA microarrays.
Shen H; Wang W; Ni B; Zou Q; Lu H; Wang Z
Int J Mol Med; 2018 Jul; 42(1):21-30. PubMed ID: 29620143
[TBL] [Abstract][Full Text] [Related]
14. Investigation of crucial genes and microRNAs in conventional osteosarcoma using gene expression profiling analysis.
Peng C; Yang Q; Wei B; Yuan B; Liu Y; Li Y; Gu D; Yin G; Wang B; Xu D; Zhang X; Kong D
Mol Med Rep; 2017 Nov; 16(5):7617-7624. PubMed ID: 28944822
[TBL] [Abstract][Full Text] [Related]
15. Transcriptomic analyses reveal the underlying pro-malignant functions of PTHR1 for osteosarcoma via activation of Wnt and angiogenesis pathways.
Li S; Dong Y; Wang K; Wang Z; Zhang X
J Orthop Surg Res; 2017 Nov; 12(1):168. PubMed ID: 29121993
[TBL] [Abstract][Full Text] [Related]
16. Screening and Interaction Analysis of Key Genes in miR-542-3p Over- Expressed Osteosarcoma Cells by Bioinformatics.
Li Z; Zhang P; Feng F; Zhang Q
Comb Chem High Throughput Screen; 2020; 23(5):411-418. PubMed ID: 32233998
[TBL] [Abstract][Full Text] [Related]
17. Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis.
Li T; Gao X; Han L; Yu J; Li H
World J Surg Oncol; 2018 Jun; 16(1):114. PubMed ID: 29921304
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Molecular characterization of metastatic osteosarcoma: Differentially expressed genes, transcription factors and microRNAs.
Heng L; Jia Z; Bai J; Zhang K; Zhu Y; Ma J; Zhang J; Duan H
Mol Med Rep; 2017 May; 15(5):2829-2836. PubMed ID: 28260111
[TBL] [Abstract][Full Text] [Related]
20. Bioinformatics identification of key candidate genes and pathways associated with systemic lupus erythematosus.
Yang F; Zhai Z; Luo X; Luo G; Zhuang L; Zhang Y; Li Y; Sun E; He Y
Clin Rheumatol; 2020 Feb; 39(2):425-434. PubMed ID: 31673979
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
