174 related articles for article (PubMed ID: 32660514)
1. Bioinformatic analysis reveals MIR502 as a potential tumour suppressor in ovarian cancer.
Li Y; Wang Q; Ning N; Tang F; Wang Y
J Ovarian Res; 2020 Jul; 13(1):77. PubMed ID: 32660514
[TBL] [Abstract][Full Text] [Related]
2. Prognostic values and prospective pathway signaling of MicroRNA-182 in ovarian cancer: a study based on gene expression omnibus (GEO) and bioinformatics analysis.
Li Y; Li L
J Ovarian Res; 2019 Nov; 12(1):106. PubMed ID: 31703725
[TBL] [Abstract][Full Text] [Related]
3. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
4. Prospective pathway signaling and prognostic values of MicroRNA-9 in ovarian cancer based on gene expression omnibus (GEO): a bioinformatics analysis.
Zuo L; Li X; Tan Y; Zhu H; Xiao M
J Ovarian Res; 2021 Feb; 14(1):29. PubMed ID: 33563317
[TBL] [Abstract][Full Text] [Related]
5. Identification of MEG8/miR-378d/SOBP axis as a novel regulatory network and associated with immune infiltrates in ovarian carcinoma by integrated bioinformatics analysis.
Lei J; He ZY; Wang J; Hu M; Zhou P; Lian CL; Hua L; Wu SG; Zhou J
Cancer Med; 2021 Apr; 10(8):2924-2939. PubMed ID: 33742531
[TBL] [Abstract][Full Text] [Related]
6. Identification of Differentially Expressed Genes (DEGs) Relevant to Prognosis of Ovarian Cancer by Use of Integrated Bioinformatics Analysis and Validation by Immunohistochemistry Assay.
Zhang L; Sun L; Zhang B; Chen L
Med Sci Monit; 2019 Dec; 25():9902-9912. PubMed ID: 31871312
[TBL] [Abstract][Full Text] [Related]
7. Single-cell and transcriptomic analyses reveal the influence of diabetes on ovarian cancer.
Zhao Z; Wang Q; Zhao F; Ma J; Sui X; Choe HC; Chen P; Gao X; Zhang L
BMC Genomics; 2024 Jan; 25(1):1. PubMed ID: 38166541
[TBL] [Abstract][Full Text] [Related]
8. Identification of core miRNAs and regulatory pathways in breast cancer by integrated bioinformatics analysis.
Feng H; Song Z
Mol Omics; 2021 Apr; 17(2):277-287. PubMed ID: 33462573
[TBL] [Abstract][Full Text] [Related]
9. Downregulation of miR-145-5p in cancer cells and their derived exosomes may contribute to the development of ovarian cancer by targeting CT.
Hang W; Feng Y; Sang Z; Yang Y; Zhu Y; Huang Q; Xi X
Int J Mol Med; 2019 Jan; 43(1):256-266. PubMed ID: 30365097
[TBL] [Abstract][Full Text] [Related]
10. Poor expression of microRNA-135b results in the inhibition of cisplatin resistance and proliferation and induces the apoptosis of gastric cancer cells through MST1-mediated MAPK signaling pathway.
Zhou J; Chen Q
FASEB J; 2019 Mar; 33(3):3420-3436. PubMed ID: 30576232
[TBL] [Abstract][Full Text] [Related]
11. Identification of invasion-metastasis-associated microRNAs in hepatocellular carcinoma based on bioinformatic analysis and experimental validation.
Lou W; Chen J; Ding B; Chen D; Zheng H; Jiang D; Xu L; Bao C; Cao G; Fan W
J Transl Med; 2018 Sep; 16(1):266. PubMed ID: 30268144
[TBL] [Abstract][Full Text] [Related]
12. Identification of significant genes with poor prognosis in ovarian cancer via bioinformatical analysis.
Feng H; Gu ZY; Li Q; Liu QH; Yang XY; Zhang JJ
J Ovarian Res; 2019 Apr; 12(1):35. PubMed ID: 31010415
[TBL] [Abstract][Full Text] [Related]
13. Identification of potential miRNA-mRNA regulatory network contributing to pathogenesis of HBV-related HCC.
Lou W; Liu J; Ding B; Chen D; Xu L; Ding J; Jiang D; Zhou L; Zheng S; Fan W
J Transl Med; 2019 Jan; 17(1):7. PubMed ID: 30602391
[TBL] [Abstract][Full Text] [Related]
14. MiR-206 inhibits epithelial ovarian cancer cells growth and invasion via blocking c-Met/AKT/mTOR signaling pathway.
Dai C; Xie Y; Zhuang X; Yuan Z
Biomed Pharmacother; 2018 Aug; 104():763-770. PubMed ID: 29807226
[TBL] [Abstract][Full Text] [Related]
15. Upregulated microRNA miR-21 promotes the progression of lung adenocarcinoma through inhibition of KIBRA and the Hippo signaling pathway.
An Y; Zhang Q; Li X; Wang Z; Li Y; Tang X
Biomed Pharmacother; 2018 Dec; 108():1845-1855. PubMed ID: 30372890
[TBL] [Abstract][Full Text] [Related]
16. Investigation of hypoxia networks in ovarian cancer via bioinformatics analysis.
Zhang K; Kong X; Feng G; Xiang W; Chen L; Yang F; Cao C; Ding Y; Chen H; Chu M; Wang P; Zhang B
J Ovarian Res; 2018 Feb; 11(1):16. PubMed ID: 29482638
[TBL] [Abstract][Full Text] [Related]
17. Identification of Skt11-regulated genes in chondrocytes by integrated bioinformatics analysis.
Liang S; Zhang JM; Lv ZT; Cheng P; Zhu WT; Chen AM
Gene; 2018 Nov; 677():340-348. PubMed ID: 30107230
[TBL] [Abstract][Full Text] [Related]
18. Bioinformatics analysis of gene expression profile of serous ovarian carcinomas to screen key genes and pathways.
Fei H; Chen S; Xu C
J Ovarian Res; 2020 Jul; 13(1):82. PubMed ID: 32693821
[TBL] [Abstract][Full Text] [Related]
19. miR-211 suppresses epithelial ovarian cancer proliferation and cell-cycle progression by targeting Cyclin D1 and CDK6.
Xia B; Yang S; Liu T; Lou G
Mol Cancer; 2015 Mar; 14():57. PubMed ID: 25889927
[TBL] [Abstract][Full Text] [Related]
20. Identification of Potentially Functional CircRNA-miRNA-mRNA Regulatory Network in Gastric Carcinoma using Bioinformatics Analysis.
Yang G; Zhang Y; Yang J
Med Sci Monit; 2019 Nov; 25():8777-8796. PubMed ID: 31747387
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]