262 related articles for article (PubMed ID: 31746439)
41. Identification of Transcriptional Markers and microRNA-mRNA Regulatory Networks in Colon Cancer by Integrative Analysis of mRNA and microRNA Expression Profiles in Colon Tumor Stroma.
Uddin MN; Li M; Wang X
Cells; 2019 Sep; 8(9):. PubMed ID: 31500382
[TBL] [Abstract][Full Text] [Related]
42. Identification of ten serum microRNAs from a genome-wide serum microRNA expression profile as novel noninvasive biomarkers for nonsmall cell lung cancer diagnosis.
Chen X; Hu Z; Wang W; Ba Y; Ma L; Zhang C; Wang C; Ren Z; Zhao Y; Wu S; Zhuang R; Zhang Y; Hu H; Liu C; Xu L; Wang J; Shen H; Zhang J; Zen K; Zhang CY
Int J Cancer; 2012 Apr; 130(7):1620-8. PubMed ID: 21557218
[TBL] [Abstract][Full Text] [Related]
43. Construction and prognostic analysis of miRNA-mRNA regulatory network in liver metastasis from colorectal cancer.
Cai R; Lu Q; Wang D
World J Surg Oncol; 2021 Jan; 19(1):7. PubMed ID: 33397428
[TBL] [Abstract][Full Text] [Related]
44. Construction and analysis of mRNA, miRNA, lncRNA, and TF regulatory networks reveal the key genes associated with prostate cancer.
Ye Y; Li SL; Wang SY
PLoS One; 2018; 13(8):e0198055. PubMed ID: 30138363
[TBL] [Abstract][Full Text] [Related]
45. Differential expression profiles of microRNAs as potential biomarkers for the early diagnosis of lung cancer.
Zhang Y; Sui J; Shen X; Li C; Yao W; Hong W; Peng H; Pu Y; Yin L; Liang G
Oncol Rep; 2017 Jun; 37(6):3543-3553. PubMed ID: 28498428
[TBL] [Abstract][Full Text] [Related]
46. Integrated analysis of microRNA and gene expression profiles reveals a functional regulatory module associated with liver fibrosis.
Chen W; Zhao W; Yang A; Xu A; Wang H; Cong M; Liu T; Wang P; You H
Gene; 2017 Dec; 636():87-95. PubMed ID: 28919164
[TBL] [Abstract][Full Text] [Related]
47. 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]
48. Identification of lung adenocarcinoma biomarkers based on bioinformatic analysis and human samples.
Dong S; Men W; Yang S; Xu S
Oncol Rep; 2020 May; 43(5):1437-1450. PubMed ID: 32323809
[TBL] [Abstract][Full Text] [Related]
49. Bioinformatics Analysis of Key Genes and circRNA-miRNA-mRNA Regulatory Network in Gastric Cancer.
Tian Y; Xing Y; Zhang Z; Peng R; Zhang L; Sun Y
Biomed Res Int; 2020; 2020():2862701. PubMed ID: 32908877
[TBL] [Abstract][Full Text] [Related]
50. Identification and validation of key genes with prognostic value in non-small-cell lung cancer via integrated bioinformatics analysis.
Wang L; Qu J; Liang Y; Zhao D; Rehman FU; Qin K; Zhang X
Thorac Cancer; 2020 Apr; 11(4):851-866. PubMed ID: 32059076
[TBL] [Abstract][Full Text] [Related]
51. Reproducible combinatorial regulatory networks elucidate novel oncogenic microRNAs in non-small cell lung cancer.
Mitra R; Edmonds MD; Sun J; Zhao M; Yu H; Eischen CM; Zhao Z
RNA; 2014 Sep; 20(9):1356-68. PubMed ID: 25024357
[TBL] [Abstract][Full Text] [Related]
52. Identification of Keratinocyte Differentiation-Involved Genes for Metastatic Melanoma by Gene Expression Profiles.
Li K; Guo S; Tong S; Sun Q; Jin S; Qi B; Shao Y; Xu N
Comput Math Methods Med; 2021; 2021():9652768. PubMed ID: 35003328
[TBL] [Abstract][Full Text] [Related]
53. Identification of key differentially expressed genes associated with non‑small cell lung cancer by bioinformatics analyses.
Xiao Y; Feng M; Ran H; Han X; Li X
Mol Med Rep; 2018 May; 17(5):6379-6386. PubMed ID: 29532892
[TBL] [Abstract][Full Text] [Related]
54. 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]
55. Bioinformatic analysis revealing mitotic spindle assembly regulated NDC80 and MAD2L1 as prognostic biomarkers in non-small cell lung cancer development.
Wei R; Wang Z; Zhang Y; Wang B; Shen N; E L; Li X; Shang L; Shang Y; Yan W; Zhang X; Ma W; Wang C
BMC Med Genomics; 2020 Aug; 13(1):112. PubMed ID: 32795325
[TBL] [Abstract][Full Text] [Related]
56. 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]
57. Prognostic Value of Immunotyping Combined with Targeted Therapy in Patients with Non-Small-Cell Lung Cancer and Establishment of Nomogram Model.
Tian S; Guo Y; Fu J; Li Z; Li J; Tian X
Comput Math Methods Med; 2022; 2022():3049619. PubMed ID: 35607647
[TBL] [Abstract][Full Text] [Related]
58. Bioinformatics analysis of the circRNA-miRNA-mRNA network for non-small cell lung cancer.
Cai X; Lin L; Zhang Q; Wu W; Su A
J Int Med Res; 2020 Jun; 48(6):300060520929167. PubMed ID: 32527185
[TBL] [Abstract][Full Text] [Related]
59. 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]
60. Expression Profiles of Endometrial Carcinoma by Integrative Analysis of TCGA Data.
Sun H; Yan L; Tu R; Zhang Y; Ma L; Tang W; Li L; Chen W; Zhan C; Zang R
Gynecol Obstet Invest; 2017; 82(1):30-38. PubMed ID: 26986489
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]