443 related articles for article (PubMed ID: 32104700)
1. A Novel Three-miRNA Signature Identified Using Bioinformatics Predicts Survival in Esophageal Carcinoma.
Wu K; Zhang C; Zhang C; Dai D
Biomed Res Int; 2020; 2020():5973082. PubMed ID: 32104700
[TBL] [Abstract][Full Text] [Related]
2. Three-microRNA signature identified by bioinformatics analysis predicts prognosis of gastric cancer patients.
Zhang C; Zhang CD; Ma MH; Dai DQ
World J Gastroenterol; 2018 Mar; 24(11):1206-1215. PubMed ID: 29568201
[TBL] [Abstract][Full Text] [Related]
3. Identification of Differentially Expressed Genes and miRNAs Associated with Esophageal Squamous Cell Carcinoma by Integrated Analysis of Microarray Data.
Zhang L; Chen J; Cheng T; Yang H; Pan C; Li H
Biomed Res Int; 2020; 2020():1980921. PubMed ID: 32714975
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Identification of molecular targets for esophageal carcinoma diagnosis using miRNA-seq and RNA-seq data from The Cancer Genome Atlas: a study of 187 cases.
Zeng JH; Xiong DD; Pang YY; Zhang Y; Tang RX; Luo DZ; Chen G
Oncotarget; 2017 May; 8(22):35681-35699. PubMed ID: 28415685
[TBL] [Abstract][Full Text] [Related]
6. Using biological information to analyze potential miRNA-mRNA regulatory networks in the plasma of patients with non-small cell lung cancer.
Zhang W; Zhang Q; Che L; Xie Z; Cai X; Gong L; Li Z; Liu D; Liu S
BMC Cancer; 2022 Mar; 22(1):299. PubMed ID: 35313857
[TBL] [Abstract][Full Text] [Related]
7. Identification of prognostic miRNA biomarkers for esophageal cancer based on The Cancer Genome Atlas and Gene Expression Omnibus.
Xue J; Jia E; Ren N; Xin H
Medicine (Baltimore); 2021 Feb; 100(7):e24832. PubMed ID: 33607850
[TBL] [Abstract][Full Text] [Related]
8. Study on miRNAs in Pan-Cancer of the Digestive Tract Based on the Illumina HiSeq System Data Sequencing.
Lai CH; Liang XZ; Liang XY; Ma SJ; Li JG; Shi MF; Zhu X; Lan HH; Zeng JH
Biomed Res Int; 2019; 2019():8016120. PubMed ID: 31737678
[TBL] [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. Integrated Analysis of Hub Genes and Pathways In Esophageal Carcinoma Based on NCBI's Gene Expression Omnibus (GEO) Database: A Bioinformatics Analysis.
Yu-Jing T; Wen-Jing T; Biao T
Med Sci Monit; 2020 Aug; 26():e923934. PubMed ID: 32756534
[TBL] [Abstract][Full Text] [Related]
11. Development of Multiscale Transcriptional Regulatory Network in Esophageal Cancer Based on Integrated Analysis.
Xu Z; Wu Z; Zhang J; Zhou R; Wu J; Yu B
Biomed Res Int; 2020; 2020():5603958. PubMed ID: 32851080
[TBL] [Abstract][Full Text] [Related]
12. Identification of microRNAs as novel biomarkers for esophageal squamous cell carcinoma: a study based on The Cancer Genome Atlas (TCGA) and bioinformatics.
Li CY; Zhang WW; Xiang JL; Wang XH; Li J; Wang JL
Chin Med J (Engl); 2019 Sep; 132(18):2213-2222. PubMed ID: 31490264
[TBL] [Abstract][Full Text] [Related]
13. Identification and validation of hub microRNAs dysregulated in esophageal squamous cell carcinoma.
Sang C; Chao C; Wang M; Zhang Y; Luo G; Zhang X
Aging (Albany NY); 2020 May; 12(10):9807-9824. PubMed ID: 32412911
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Identification of serum prognostic marker miRNAs and construction of microRNA-mRNA networks of esophageal cancer.
Jiang Y; Zhang C; Shen W; Li Y; Wang Y; Han J; Liu T; Jia L; Gao F; Liu X; Chen M; Yi G; Dai H; He J
PLoS One; 2021; 16(7):e0255479. PubMed ID: 34329340
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Construction of Potential miRNA-mRNA Regulatory Network in COPD Plasma by Bioinformatics Analysis.
Zhu M; Ye M; Wang J; Ye L; Jin M
Int J Chron Obstruct Pulmon Dis; 2020; 15():2135-2145. PubMed ID: 32982206
[TBL] [Abstract][Full Text] [Related]
19. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]