BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

131 related articles for article (PubMed ID: 37986300)

  • 21. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
    Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
    Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
    [TBL] [Abstract][Full Text] [Related]  

  • 22. WGCNA combined with machine learning algorithms for analyzing key genes and immune cell infiltration in heart failure due to ischemic cardiomyopathy.
    Kong X; Sun H; Wei K; Meng L; Lv X; Liu C; Lin F; Gu X
    Front Cardiovasc Med; 2023; 10():1058834. PubMed ID: 37008314
    [TBL] [Abstract][Full Text] [Related]  

  • 23. NR1I2 as a core biological target in chronic venous ulcer tissues treated with ultrasound therapy.
    Lu C; Zhang J; Zhang Y; Bao X
    Medicine (Baltimore); 2024 May; 103(19):e38092. PubMed ID: 38728468
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Higher expression of PLEK and LY86 as the potential biomarker of carotid atherosclerosis.
    Zhao M; Liu A; Mo L; Wan G; Lu F; Chen L; Fu S; Chen H; Fu T; Deng H
    Medicine (Baltimore); 2023 Oct; 102(42):e34445. PubMed ID: 37861500
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Key Genes Associated with Pyroptosis in Gout and Construction of a miRNA-mRNA Regulatory Network.
    Bai B; Liu Y; Abudukerimu A; Tian T; Liang M; Li R; Sun Y
    Cells; 2022 Oct; 11(20):. PubMed ID: 36291136
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Transcriptome profile and its partly verification of human hepatocellular carcinoma cells exposed to Yuzhizi () seed extract.
    Xiaoyan F; Mingzhe LI; Long C; Chao L; Wenli LU; Zhiqiang P; Dongwei J; Peike P; Zhaoqin F; Xiaomei L
    J Tradit Chin Med; 2022 Dec; 42(6):922-931. PubMed ID: 36378050
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Underlying Genes Involved in Atherosclerotic Macrophages: Insights from Microarray Data Mining.
    Wang W; Zhang K; Zhang H; Li M; Zhao Y; Wang B; Xin W; Yang W; Zhang J; Yue S; Yang X
    Med Sci Monit; 2019 Dec; 25():9949-9962. PubMed ID: 31875420
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Identification of the pivotal role of SPP1 in kidney stone disease based on multiple bioinformatics analysis.
    Hong SY; Xia QD; Xu JZ; Liu CQ; Sun JX; Xun Y; Wang SG
    BMC Med Genomics; 2022 Jan; 15(1):7. PubMed ID: 35016690
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Integrated Bioinformatic Analysis of the Shared Molecular Mechanisms Between Osteoporosis and Atherosclerosis.
    Mo L; Ma C; Wang Z; Li J; He W; Niu W; Chen Z; Zhou C; Liu Y
    Front Endocrinol (Lausanne); 2022; 13():950030. PubMed ID: 35937806
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Identification and Validation of a Dysregulated miRNA-Associated mRNA Network in Temporal Lobe Epilepsy.
    Li X; Han Y; Li D; Yuan H; Huang S; Chen X; Qin Y
    Biomed Res Int; 2021; 2021():4118216. PubMed ID: 34722763
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Identification of Metabolic Syndrome-Related miRNA-mRNA Regulatory Networks and Key Genes Based on Bioinformatics Analysis.
    Qiu L; Sheng P; Wang X
    Biochem Genet; 2023 Feb; 61(1):428-447. PubMed ID: 35877019
    [TBL] [Abstract][Full Text] [Related]  

  • 32. CEACAM1 as a molecular target in oral cancer.
    Ma S; Wang Z; Li C; Liu Z; Zhang X; Li L; An F; Qiao X
    Aging (Albany NY); 2023 Aug; 15(16):8137-8154. PubMed ID: 37589542
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Bioinformatics Analysis and Identification of Genes and Molecular Pathways Involved in Venous Thromboembolism (VTE).
    Lu S; Lijuan R; Tang QH; Liu QL; Xian-Lan Z
    Ann Vasc Surg; 2021 Jul; 74():389-399. PubMed ID: 33819580
    [TBL] [Abstract][Full Text] [Related]  

  • 34. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
    Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
    Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Prediction of genetic risk factors of atherosclerosis using various bioinformatic tools.
    Wang HX; Zhao YX
    Genet Mol Res; 2016 Apr; 15(2):. PubMed ID: 27173180
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Bioinformatics analysis of differentially expressed genes and pathways in the development of cervical cancer.
    Wu B; Xi S
    BMC Cancer; 2021 Jun; 21(1):733. PubMed ID: 34174849
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Roles of DSCC1 and GINS1 in gastric cancer.
    Hou S; Zhang J; Chi X; Li X; Zhang Q; Kang C; Shan H
    Medicine (Baltimore); 2023 Oct; 102(43):e35681. PubMed ID: 37904396
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Identification of a Potential MiRNA-mRNA Regulatory Network for Osteoporosis by Using Bioinformatics Methods: A Retrospective Study Based on the Gene Expression Omnibus Database.
    Lin S; Wu J; Chen B; Li S; Huang H
    Front Endocrinol (Lausanne); 2022; 13():844218. PubMed ID: 35620387
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Identification of potential target genes for ankylosing spondylitis treatment.
    Ni Y; Jiang C
    Medicine (Baltimore); 2018 Feb; 97(8):e9760. PubMed ID: 29465556
    [TBL] [Abstract][Full Text] [Related]  

  • 40. GPX3 and GSTT1 as biomarkers related to oxidative stress during renal ischemia reperfusion injuries and their relationship with immune infiltration.
    Pei J; Tian X; Yu C; Luo J; Zhang J; Hua Y; Wei G
    Front Immunol; 2023; 14():1136146. PubMed ID: 37033969
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.