BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

181 related articles for article (PubMed ID: 32500465)

  • 21. Identification of Hub Genes and Key Pathways Associated with Peripheral T-cell Lymphoma.
    Gao HX; Wang MB; Li SJ; Niu J; Xue J; Li J; Li XX
    Curr Med Sci; 2020 Oct; 40(5):885-899. PubMed ID: 32980897
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Gene network in pulmonary tuberculosis based on bioinformatic analysis.
    Li L; Lv J; He Y; Wang Z
    BMC Infect Dis; 2020 Aug; 20(1):612. PubMed ID: 32811479
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Bioinformatics analysis of fibroblasts exposed to TGF‑β at the early proliferation phase of wound repair.
    Mi B; Liu G; Zhou W; Lv H; Zha K; Liu Y; Wu Q; Liu J
    Mol Med Rep; 2017 Dec; 16(6):8146-8154. PubMed ID: 28983581
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Identification of hub genes, pathways, and related transcription factors in systemic lupus erythematosus: A preliminary bioinformatics analysis.
    Wang Y; Ma Q; Huo Z
    Medicine (Baltimore); 2021 Jun; 100(25):e26499. PubMed ID: 34160465
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Identification of key genes and associated pathways in KIT/PDGFRA wild‑type gastrointestinal stromal tumors through bioinformatics analysis.
    Wang WJ; Li HT; Yu JP; Li YM; Han XP; Chen P; Yu WW; Chen WK; Jiao ZY; Liu HB
    Mol Med Rep; 2018 Nov; 18(5):4499-4515. PubMed ID: 30221743
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Identifying
    Ding J; Liu Y; Lai Y
    PeerJ; 2020; 8():e10419. PubMed ID: 33282565
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Study on potential differentially expressed genes in stroke by bioinformatics analysis.
    Yang X; Wang P; Yan S; Wang G
    Neurol Sci; 2022 Feb; 43(2):1155-1166. PubMed ID: 34313877
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Screening and identification of potential biomarkers and therapeutic drugs in melanoma via integrated bioinformatics analysis.
    Chen B; Sun D; Qin X; Gao XH
    Invest New Drugs; 2021 Aug; 39(4):928-948. PubMed ID: 33501609
    [TBL] [Abstract][Full Text] [Related]  

  • 29. In silico identification of key genes and signaling pathways targeted by a panel of signature microRNAs in prostate cancer.
    Baruah MM; Sharma N
    Med Oncol; 2019 Apr; 36(5):43. PubMed ID: 30937635
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Identification of Potential Biomarkers for Thyroid Cancer Using Bioinformatics Strategy: A Study Based on GEO Datasets.
    Shen Y; Dong S; Liu J; Zhang L; Zhang J; Zhou H; Dong W
    Biomed Res Int; 2020; 2020():9710421. PubMed ID: 32337286
    [TBL] [Abstract][Full Text] [Related]  

  • 31. KEGG-expressed genes and pathways in triple negative breast cancer: Protocol for a systematic review and data mining.
    Chen J; Liu C; Cen J; Liang T; Xue J; Zeng H; Zhang Z; Xu G; Yu C; Lu Z; Wang Z; Jiang J; Zhan X; Zeng J
    Medicine (Baltimore); 2020 May; 99(18):e19986. PubMed ID: 32358373
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Identification of hub genes in thyroid carcinoma to predict prognosis by integrated bioinformatics analysis.
    Pan Y; Wu L; He S; Wu J; Wang T; Zang H
    Bioengineered; 2021 Dec; 12(1):2928-2940. PubMed ID: 34167437
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Identification of key genes and pathways in benign prostatic hyperplasia.
    Ke ZB; Cai H; Wu YP; Lin YZ; Li XD; Huang JB; Sun XL; Zheng QS; Xue XY; Wei Y; Xu N
    J Cell Physiol; 2019 Nov; 234(11):19942-19950. PubMed ID: 31187492
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Identification of hub genes in rheumatoid arthritis through an integrated bioinformatics approach.
    Wu R; Long L; Zhou Q; Su J; Su W; Zhu J
    J Orthop Surg Res; 2021 Jul; 16(1):458. PubMed ID: 34271942
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Three hematologic/immune system-specific expressed genes are considered as the potential biomarkers for the diagnosis of early rheumatoid arthritis through bioinformatics analysis.
    Cheng Q; Chen X; Wu H; Du Y
    J Transl Med; 2021 Jan; 19(1):18. PubMed ID: 33407587
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis.
    Li F; Guo P; Dong K; Guo P; Wang H; Lv X
    J Comput Biol; 2019 Nov; 26(11):1278-1295. PubMed ID: 31233342
    [No Abstract]   [Full Text] [Related]  

  • 37. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
    Yang C; Gong A
    Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
    [No Abstract]   [Full Text] [Related]  

  • 38. [Identification of key pathways and drug repurposing for anaplastic thyroid carcinoma by integrated bioinformatics analysis].
    Pan Z; Fang Q; Zhang Y; Li L; Huang P
    Zhejiang Da Xue Xue Bao Yi Xue Ban; 2018 May; 47(2):187-193. PubMed ID: 30226315
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Bioinformatic identification of candidate biomarkers and related transcription factors in nasopharyngeal carcinoma.
    Ye Z; Wang F; Yan F; Wang L; Li B; Liu T; Hu F; Jiang M; Li W; Fu Z
    World J Surg Oncol; 2019 Apr; 17(1):60. PubMed ID: 30935420
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Integrated microarray analysis to identify potential biomarkers and therapeutic targets in dilated cardiomyopathy.
    Zhang H; Huo J; Jiang W; Shan Q
    Mol Med Rep; 2020 Aug; 22(2):915-925. PubMed ID: 32626989
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.