192 related articles for article (PubMed ID: 28765949)
1. Identification of miRNA-mRNA crosstalk in laryngeal squamous cell carcinoma.
Fei Y; Guo P; Wang F; Li H; Lei Y; Li W; Xun X; Lu F
Mol Med Rep; 2017 Oct; 16(4):4179-4186. PubMed ID: 28765949
[TBL] [Abstract][Full Text] [Related]
2. Comprehensive analysis of differentially expressed profiles of lncRNAs, mRNAs, and miRNAs in laryngeal squamous cell carcinoma in order to construct a ceRNA network and identify potential biomarkers.
Kong X; Qi J; Yan Y; Chen L; Zhao Y; Fang Z; Fan J; Liu M; Liu Y
J Cell Biochem; 2019 Oct; 120(10):17963-17974. PubMed ID: 31127661
[TBL] [Abstract][Full Text] [Related]
3. Identification of competitive endogenous RNAs network in breast cancer.
Wang X; Wan J; Xu Z; Jiang S; Ji L; Liu Y; Zhai S; Cui R
Cancer Med; 2019 May; 8(5):2392-2403. PubMed ID: 30932362
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. The global expression profiling in esophageal squamous cell carcinoma.
Dai F; Mei L; Meng S; Ma Z; Guo W; Zhou J; Zhang J
Genomics; 2017 Jul; 109(3-4):241-250. PubMed ID: 28442363
[TBL] [Abstract][Full Text] [Related]
6. Bioinformatic analysis of microRNA-mRNA expression profiles of bladder tissue induced by bladder outlet obstruction in a rat model.
Duan LJ; Cao QF; Xu D; Liu HL; Qi J
Mol Med Rep; 2017 Oct; 16(4):4803-4810. PubMed ID: 28791388
[TBL] [Abstract][Full Text] [Related]
7. Gene expression profiling via bioinformatics analysis reveals biomarkers in laryngeal squamous cell carcinoma.
Guan GF; Zheng Y; Wen LJ; Zhang DJ; Yu DJ; Lu YQ; Zhao Y; Zhang H
Mol Med Rep; 2015 Aug; 12(2):2457-64. PubMed ID: 25936657
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Comprehensive analysis of the whole coding and non-coding RNA transcriptome expression profiles and construction of the circRNA-lncRNA co-regulated ceRNA network in laryngeal squamous cell carcinoma.
Zhao R; Li FQ; Tian LL; Shang DS; Guo Y; Zhang JR; Liu M
Funct Integr Genomics; 2019 Jan; 19(1):109-121. PubMed ID: 30128795
[TBL] [Abstract][Full Text] [Related]
10. Identification of microRNA-mRNA-TF regulatory networks in periodontitis by bioinformatics analysis.
Gao X; Zhao D; Han J; Zhang Z; Wang Z
BMC Oral Health; 2022 Apr; 22(1):118. PubMed ID: 35397550
[TBL] [Abstract][Full Text] [Related]
11. Identification of miR-145-5p-Centered Competing Endogenous RNA Network in Laryngeal Squamous Cell Carcinoma.
Gao W; Zhang Y; Niu M; Bo Y; Li H; Xue X; Lu Y; Zheng X; Tang Y; Cui J; He L; Thorne RF; Wang B; Wu Y
Proteomics; 2019 Nov; 19(21-22):e1900020. PubMed ID: 31169343
[TBL] [Abstract][Full Text] [Related]
12. Integrated miRNA and mRNA expression analysis uncovers drug targets in laryngeal squamous cell carcinoma patients.
Lapa RML; Barros-Filho MC; Marchi FA; Domingues MAC; de Carvalho GB; Drigo SA; Kowalski LP; Rogatto SR
Oral Oncol; 2019 Jun; 93():76-84. PubMed ID: 31109699
[TBL] [Abstract][Full Text] [Related]
13. MiRNA-mRNA crosstalk in laryngeal squamous cell carcinoma based on the TCGA database.
Huang GJ; Luo MS; Chen GP; Fu MY
Eur Arch Otorhinolaryngol; 2018 Mar; 275(3):751-759. PubMed ID: 29332170
[TBL] [Abstract][Full Text] [Related]
14. Bioinformatics analyses of the differences between lung adenocarcinoma and squamous cell carcinoma using The Cancer Genome Atlas expression data.
Sun F; Yang X; Jin Y; Chen L; Wang L; Shi M; Zhan C; Shi Y; Wang Q
Mol Med Rep; 2017 Jul; 16(1):609-616. PubMed ID: 28560415
[TBL] [Abstract][Full Text] [Related]
15. RNA-Seq profiling of circular RNAs in human laryngeal squamous cell carcinomas.
Lu C; Shi X; Wang AY; Tao Y; Wang Z; Huang C; Qiao Y; Hu H; Liu L
Mol Cancer; 2018 May; 17(1):86. PubMed ID: 29716593
[TBL] [Abstract][Full Text] [Related]
16. Identification and interaction analysis of key miRNAs in medullary thyroid carcinoma by bioinformatics analysis.
Zhang L; Lu D; Liu M; Zhang M; Peng Q
Mol Med Rep; 2019 Sep; 20(3):2316-2324. PubMed ID: 31322209
[TBL] [Abstract][Full Text] [Related]
17. Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis.
Mou T; Zhu D; Wei X; Li T; Zheng D; Pu J; Guo Z; Wu Z
World J Surg Oncol; 2017 Mar; 15(1):63. PubMed ID: 28302149
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Identification of biomarkers of intrahepatic cholangiocarcinoma via integrated analysis of mRNA and miRNA microarray data.
Chen Y; Liu D; Liu P; Chen Y; Yu H; Zhang Q
Mol Med Rep; 2017 Mar; 15(3):1051-1056. PubMed ID: 28098904
[TBL] [Abstract][Full Text] [Related]
20. Integrated transcriptome analysis reveals miRNA-mRNA crosstalk in laryngeal squamous cell carcinoma.
Zhang Y; Chen Y; Yu J; Liu G; Huang Z
Genomics; 2014 Oct; 104(4):249-56. PubMed ID: 24979738
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
