These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

464 related articles for article (PubMed ID: 31555364)

  • 41. 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]  

  • 42. 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]  

  • 43. Identification of Potential Crucial Genes and Key Pathways in Breast Cancer Using Bioinformatic Analysis.
    Deng JL; Xu YH; Wang G
    Front Genet; 2019; 10():695. PubMed ID: 31428132
    [No Abstract]   [Full Text] [Related]  

  • 44. An integrated analysis of key microRNAs, regulatory pathways and clinical relevance in bladder cancer.
    Li D; Hao X; Song Y
    Onco Targets Ther; 2018; 11():3075-3085. PubMed ID: 29872319
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Identification of key biomarkers and potential molecular mechanisms in lung cancer by bioinformatics analysis.
    Li Z; Sang M; Tian Z; Liu Z; Lv J; Zhang F; Shan B
    Oncol Lett; 2019 Nov; 18(5):4429-4440. PubMed ID: 31611952
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Identification of a 5‑microRNA signature and hub miRNA‑mRNA interactions associated with pancreatic cancer.
    Ma X; Tao R; Li L; Chen H; Liu Z; Bai J; Shuai X; Wu C; Tao K
    Oncol Rep; 2019 Jan; 41(1):292-300. PubMed ID: 30365134
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis.
    Shen S; Kong J; Qiu Y; Yang X; Wang W; Yan L
    J Cell Biochem; 2019 Jun; 120(6):10069-10081. PubMed ID: 30525236
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Identification of the lncRNA-miRNA-mRNA network associated with gastric cancer via integrated bioinformatics analysis.
    Ma XY; Ma Y; Zhou H; Zhang HJ; Sun MJ
    Oncol Lett; 2019 Dec; 18(6):5769-5784. PubMed ID: 31788050
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Investigation of differentially expressed genes in nasopharyngeal carcinoma by integrated bioinformatics analysis.
    Zou Z; Gan S; Liu S; Li R; Huang J
    Oncol Lett; 2019 Jul; 18(1):916-926. PubMed ID: 31289570
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Identification of potential therapeutic targets for colorectal cancer by bioinformatics analysis.
    Yan M; Song M; Bai R; Cheng S; Yan W
    Oncol Lett; 2016 Dec; 12(6):5092-5098. PubMed ID: 28105216
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Bioinformatics Analysis of Choriocarcinoma-Related MicroRNA-Transcription Factor-Target Gene Regulatory Networks and Validation of Key miRNAs.
    Peng X; Zhang Z; Mo Y; Liu J; Wang S; Liu H
    Onco Targets Ther; 2021; 14():3903-3919. PubMed ID: 34234459
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Identification of key miRNA-gene pairs in chronic lymphocytic leukemia through integrated analysis of mRNA and miRNA microarray.
    Li J; Qin Y; Zhang H
    Oncol Lett; 2018 Jan; 15(1):361-367. PubMed ID: 29285196
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Identification of potential pathogenic biomarkers in clear cell renal cell carcinoma.
    Wang Z; Zhang Z; Zhang C; Xu Y
    Oncol Lett; 2018 Jun; 15(6):8491-8499. PubMed ID: 29805586
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Screening key genes and signaling pathways in colorectal cancer by integrated bioinformatics analysis.
    Yu C; Chen F; Jiang J; Zhang H; Zhou M
    Mol Med Rep; 2019 Aug; 20(2):1259-1269. PubMed ID: 31173250
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Identification of differentially expressed metastatic genes and their signatures to predict the overall survival of uveal melanoma patients by bioinformatics analysis.
    Zhao DD; Zhao X; Li WT
    Int J Ophthalmol; 2020; 13(7):1046-1053. PubMed ID: 32685390
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Identification of key genes for predicting colorectal cancer prognosis by integrated bioinformatics analysis.
    Dai GP; Wang LP; Wen YQ; Ren XQ; Zuo SG
    Oncol Lett; 2020 Jan; 19(1):388-398. PubMed ID: 31897151
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Bioinformatic Analysis Identifies of Potential miRNA-mRNA Regulatory Networks Involved in the Pathogenesis of Lung Cancer.
    Hao D; Li Y; Shi J; Jiang J
    Comput Intell Neurosci; 2022; 2022():6295934. PubMed ID: 36211008
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Construction of Potential Glioblastoma Multiforme-Related miRNA-mRNA Regulatory Network.
    Lou W; Ding B; Xu L; Fan W
    Front Mol Neurosci; 2019; 12():66. PubMed ID: 30971889
    [No Abstract]   [Full Text] [Related]  

  • 59. Identification of keygenes, miRNAs and miRNA-mRNA regulatory pathways for chemotherapy resistance in ovarian cancer.
    Wang W; Zhang W; Hu Y
    PeerJ; 2021; 9():e12353. PubMed ID: 34820170
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis.
    Hu S; Liao Y; Chen L
    Med Sci Monit; 2018 Sep; 24():6438-6448. PubMed ID: 30213925
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 24.