2704 related articles for article (PubMed ID: 31703725)
1. 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]
2. 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]
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. Bioinformatics analysis of prognostic value and prospective pathway signal of miR-30a in ovarian cancer.
Lu W; Wu Y; Lu CX; Zhu T; Ren ZL; Yu Z
J Ovarian Res; 2020 Oct; 13(1):120. PubMed ID: 33004058
[TBL] [Abstract][Full Text] [Related]
5. Identification of candidate biomarkers and analysis of prognostic values in ovarian cancer by integrated bioinformatics analysis.
Xu Z; Zhou Y; Cao Y; Dinh TL; Wan J; Zhao M
Med Oncol; 2016 Nov; 33(11):130. PubMed ID: 27757782
[TBL] [Abstract][Full Text] [Related]
6. Integrated miRNA-mRNA Expression Profiles Revealing Key Molecules in Ovarian Cancer Based on Bioinformatics Analysis.
Li C; Hong Z; Ou M; Zhu X; Zhang L; Yang X
Biomed Res Int; 2021; 2021():6673655. PubMed ID: 34734085
[TBL] [Abstract][Full Text] [Related]
7. Bioinformatics Analysis Identifies the Estrogen Receptor 1 (ESR1) Gene and hsa-miR-26a-5p as Potential Prognostic Biomarkers in Patients with Intrahepatic Cholangiocarcinoma.
Qin X; Song Y
Med Sci Monit; 2020 May; 26():e921815. PubMed ID: 32435051
[TBL] [Abstract][Full Text] [Related]
8. Bioinformatics analysis of mRNA and miRNA microarray to identify the key miRNA-mRNA pairs in cisplatin-resistant ovarian cancer.
Xue B; Li S; Jin X; Liu L
BMC Cancer; 2021 Apr; 21(1):452. PubMed ID: 33892654
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Identification of molecular marker associated with ovarian cancer prognosis using bioinformatics analysis and experiments.
Zheng MJ; Li X; Hu YX; Dong H; Gou R; Nie X; Liu Q; Ying-Ying H; Liu JJ; Lin B
J Cell Physiol; 2019 Jul; 234(7):11023-11036. PubMed ID: 30633343
[TBL] [Abstract][Full Text] [Related]
11. Identification and Interaction Analysis of Molecular Markers in Colorectal Cancer by Integrated Bioinformatics Analysis.
Han B; Feng D; Yu X; Zhang Y; Liu Y; Zhou L
Med Sci Monit; 2018 Aug; 24():6059-6069. PubMed ID: 30168505
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. BCL2 and hsa-miR-181a-5p are potential biomarkers associated with papillary thyroid cancer based on bioinformatics analysis.
Zhang C; Bo C; Guo L; Yu P; Miao S; Gu X
World J Surg Oncol; 2019 Dec; 17(1):221. PubMed ID: 31842912
[TBL] [Abstract][Full Text] [Related]
14. Identification of novel genes associated with a poor prognosis in pancreatic ductal adenocarcinoma via a bioinformatics analysis.
Zhou J; Hui X; Mao Y; Fan L
Biosci Rep; 2019 Aug; 39(8):. PubMed ID: 31311829
[TBL] [Abstract][Full Text] [Related]
15. Identification of key biomarkers associated with development and prognosis in patients with ovarian carcinoma: evidence from bioinformatic analysis.
Shen J; Yu S; Sun X; Yin M; Fei J; Zhou J
J Ovarian Res; 2019 Nov; 12(1):110. PubMed ID: 31729978
[TBL] [Abstract][Full Text] [Related]
16. Microarray data analysis on gene and miRNA expression to identify biomarkers in non-small cell lung cancer.
Jin X; Guan Y; Zhang Z; Wang H
BMC Cancer; 2020 Apr; 20(1):329. PubMed ID: 32299382
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Identification of key microRNAs and hub genes in non-small-cell lung cancer using integrative bioinformatics and functional analyses.
Song F; Xuan Z; Yang X; Ye X; Pan Z; Fang Q
J Cell Biochem; 2020 Mar; 121(3):2690-2703. PubMed ID: 31692035
[TBL] [Abstract][Full Text] [Related]
19. Role of miR-452-5p in the tumorigenesis of prostate cancer: A study based on the Cancer Genome Atl(TCGA), Gene Expression Omnibus (GEO), and bioinformatics analysis.
Gao L; Zhang LJ; Li SH; Wei LL; Luo B; He RQ; Xia S
Pathol Res Pract; 2018 May; 214(5):732-749. PubMed ID: 29559248
[TBL] [Abstract][Full Text] [Related]
20. Identification of crucial miRNAs and genes in esophageal squamous cell carcinoma by miRNA-mRNA integrated analysis.
Zhong X; Huang G; Ma Q; Liao H; Liu C; Pu W; Xu L; Cai Y; Guo X
Medicine (Baltimore); 2019 Jul; 98(27):e16269. PubMed ID: 31277149
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]