211 related articles for article (PubMed ID: 31311505)
1. miRFA: an automated pipeline for microRNA functional analysis with correlation support from TCGA and TCPA expression data in pancreatic cancer.
Borgmästars E; de Weerd HA; Lubovac-Pilav Z; Sund M
BMC Bioinformatics; 2019 Jul; 20(1):393. PubMed ID: 31311505
[TBL] [Abstract][Full Text] [Related]
2. Integrating MicroRNA Expression Profiling Studies to Systematically Evaluate the Diagnostic Value of MicroRNAs in Pancreatic Cancer and Validate Their Prognostic Significance with the Cancer Genome Atlas Data.
Zhang Z; Pan B; Lv S; Ji Z; Wu Q; Lang R; He Q; Zhao X
Cell Physiol Biochem; 2018; 49(2):678-695. PubMed ID: 30165365
[TBL] [Abstract][Full Text] [Related]
3. Identification of miRNA-mRNA crosstalk in pancreatic cancer by integrating transcriptome analysis.
Yang J; Zeng Y
Eur Rev Med Pharmacol Sci; 2015; 19(5):825-34. PubMed ID: 25807437
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. An Integrated Data Analysis of mRNA, miRNA and Signaling Pathways in Pancreatic Cancer.
Sohrabi E; Rezaie E; Heiat M; Sefidi-Heris Y
Biochem Genet; 2021 Oct; 59(5):1326-1358. PubMed ID: 33813720
[TBL] [Abstract][Full Text] [Related]
6. A novel mRNA-miRNA-lncRNA competing endogenous RNA triple sub-network associated with prognosis of pancreatic cancer.
Wang W; Lou W; Ding B; Yang B; Lu H; Kong Q; Fan W
Aging (Albany NY); 2019 May; 11(9):2610-2627. PubMed ID: 31061236
[TBL] [Abstract][Full Text] [Related]
7. A Five-microRNA Signature for Survival Prognosis in Pancreatic Adenocarcinoma based on TCGA Data.
Shi XH; Li X; Zhang H; He RZ; Zhao Y; Zhou M; Pan ST; Zhao CL; Feng YC; Wang M; Guo XJ; Qin RY
Sci Rep; 2018 May; 8(1):7638. PubMed ID: 29769534
[TBL] [Abstract][Full Text] [Related]
8. Bioinformatics Analyses of Potential miRNA-mRNA Regulatory Axis in HBV-related Hepatocellular Carcinoma.
Huang DP; Zeng YH; Yuan WQ; Huang XF; Chen SQ; Wang MY; Qiu YJ; Tong GD
Int J Med Sci; 2021; 18(2):335-346. PubMed ID: 33390802
[No Abstract] [Full Text] [Related]
9. 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]
10. 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]
11. Serum-based six-miRNA signature as a potential marker for EC diagnosis: Comparison with TCGA miRNAseq dataset and identification of miRNA-mRNA target pairs by integrated analysis of TCGA miRNAseq and RNAseq datasets.
Sharma P; Saraya A; Sharma R
Asia Pac J Clin Oncol; 2018 Oct; 14(5):e289-e301. PubMed ID: 29380534
[TBL] [Abstract][Full Text] [Related]
12. Bioinformatics Analysis of a Prognostic miRNA Signature and Potential Key Genes in Pancreatic Cancer.
Chen S; Gao C; Yu T; Qu Y; Xiao GG; Huang Z
Front Oncol; 2021; 11():641289. PubMed ID: 34094925
[TBL] [Abstract][Full Text] [Related]
13. Comprehensive Analysis of Competing Endogenous RNA (ceRNA) Network Based on RNAs Differentially Expressed in Lung Adenocarcinoma Using The Cancer Genome Atlas (TCGA) Database.
Tang H; Wang Z; Shao Q; Wang Y; Yang Q
Med Sci Monit; 2020 Jun; 26():e922676. PubMed ID: 32533823
[TBL] [Abstract][Full Text] [Related]
14. How hsa-miR-495 performed in the tumorigenesis of pancreatic adenocarcinoma by bioinformatics analysis.
Yang Y; Wang Y; Liu S; Zhao X; Jia R; Xiao Y; Zhang M; Li X; Li J; Wang W
J Cell Biochem; 2019 May; 120(5):7802-7813. PubMed ID: 30485500
[TBL] [Abstract][Full Text] [Related]
15. Construction of lncRNA TYMSOS/hsa-miR-101-3p/CEP55 and TYMSOS/hsa-miR-195-5p/CHEK1 Axis in Non-small Cell Lung Cancer.
Ji L; Yang T; Liu M; Li J; Si Q; Wang Y; Liu J; Dai L
Biochem Genet; 2023 Jun; 61(3):995-1014. PubMed ID: 36352081
[TBL] [Abstract][Full Text] [Related]
16. miRNA-seq analysis of human vertebrae provides insight into the mechanism underlying GIOP.
Ren H; Yu X; Shen G; Zhang Z; Shang Q; Zhao W; Huang J; Yu P; Zhan M; Lu Y; Liang Z; Tang J; Liang D; Yao Z; Yang Z; Jiang X
Bone; 2019 Mar; 120():371-386. PubMed ID: 30503955
[TBL] [Abstract][Full Text] [Related]
17. A Panel of MicroRNA Signature as a Tool for Predicting Survival of Patients with Urothelial Carcinoma of the Bladder.
Inamoto T; Uehara H; Akao Y; Ibuki N; Komura K; Takahara K; Takai T; Uchimoto T; Saito K; Tanda N; Yoshikawa Y; Minami K; Hirano H; Nomi H; Kato R; Hayashi T; Azuma H
Dis Markers; 2018; 2018():5468672. PubMed ID: 30026881
[TBL] [Abstract][Full Text] [Related]
18. Identification of a Potentially Functional microRNA-mRNA Regulatory Network in Lung Adenocarcinoma Using a Bioinformatics Analysis.
Wang XJ; Gao J; Wang Z; Yu Q
Front Cell Dev Biol; 2021; 9():641840. PubMed ID: 33681226
[TBL] [Abstract][Full Text] [Related]
19. Identification of Diagnostic Exosomal LncRNA-miRNA-mRNA Biomarkers in Colorectal Cancer Based on the ceRNA Network.
Zhao Y; Song X; Song X; Xie L
Pathol Oncol Res; 2022; 28():1610493. PubMed ID: 36185995
[No Abstract] [Full Text] [Related]
20. Bioinformatics method to predict two regulation mechanism: TF-miRNA-mRNA and lncRNA-miRNA-mRNA in pancreatic cancer.
Ye S; Yang L; Zhao X; Song W; Wang W; Zheng S
Cell Biochem Biophys; 2014 Dec; 70(3):1849-58. PubMed ID: 25087086
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
