BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

109 related articles for article (PubMed ID: 30998134)

  • 1. [Analysis of Unfavorable Prognosis Gene Markers in Patients with Acute Myeloid Leukemia by Multiomics].
    Chen XM; Zhang HM; Yang B; Lu XC; He PF
    Zhongguo Shi Yan Xue Ye Xue Za Zhi; 2019 Apr; 27(2):331-338. PubMed ID: 30998134
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of Potential Novel Prognosis-Related Genes Through Transcriptome Sequencing, Bioinformatics Analysis, and Clinical Validation in Acute Myeloid Leukemia.
    Wang J; Uddin MN; Hao JP; Chen R; Xiang YX; Xiong DQ; Wu Y
    Front Genet; 2021; 12():723001. PubMed ID: 34777462
    [No Abstract]   [Full Text] [Related]  

  • 3. [Bioinformatics Analysis and Verification of Acute B-Lymphocytic Leukemia in Children with Isolated Bone Marrow Relapse].
    Wang HY; Yu J; An XZ; Li YJ; Zhu Y
    Zhongguo Shi Yan Xue Ye Xue Za Zhi; 2021 Aug; 29(4):1039-1049. PubMed ID: 34362480
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [Screening function enrichment and related signaling pathways bioinformatics analysis of differentially expressed gene in glioma].
    Chen YS; Guo Y; Shen HW; Zhang P; Chen H
    Zhonghua Yi Xue Za Zhi; 2019 Aug; 99(29):2311-2314. PubMed ID: 31434409
    [No Abstract]   [Full Text] [Related]  

  • 5. [Second-generation Sequencing Analysis of Ph
    Liao X; Zou PL; Shen YL; Guo YX; Song L; Xia JW
    Zhongguo Shi Yan Xue Ye Xue Za Zhi; 2021 Aug; 29(4):1101-1108. PubMed ID: 34362488
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Bioinformatics Analysis and Verification of Aging-Related Genes of Bone Marrow Mesenchymal Stem Cells in Patients with Acute Myeloid Leukemia].
    Liu SQ; Cheng JY; Jiang YJ; Li Y; Li QH; Pang TX
    Zhongguo Shi Yan Xue Ye Xue Za Zhi; 2019 Apr; 27(2):311-317. PubMed ID: 30998131
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Data mining of esophageal squamous cell carcinoma from The Cancer Genome Atlas database].
    He SY; Wang XB; Jiao YC
    Zhonghua Zhong Liu Za Zhi; 2018 Jul; 40(7):517-522. PubMed ID: 30060360
    [No Abstract]   [Full Text] [Related]  

  • 8. Identification of biomarkers associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis.
    Chen L; Lu D; Sun K; Xu Y; Hu P; Li X; Xu F
    Gene; 2019 Apr; 692():119-125. PubMed ID: 30654001
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Construction of prognostic risk prediction model based on high-throughput sequencing expression profile data in childhood acute myeloid leukemia.
    Niu P; Yao B; Wei L; Zhu H; Fang C; Zhao Y
    Blood Cells Mol Dis; 2019 Jul; 77():43-50. PubMed ID: 30954792
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker.
    Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z
    Gene; 2019 May; 698():9-18. PubMed ID: 30825595
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis.
    Li T; Gao X; Han L; Yu J; Li H
    World J Surg Oncol; 2018 Jun; 16(1):114. PubMed ID: 29921304
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Screening of the prognostic targets for breast cancer based co-expression modules analysis.
    Liu H; Ye H
    Mol Med Rep; 2017 Oct; 16(4):4038-4044. PubMed ID: 28731166
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Protein-protein interaction network and significant gene analysis of osteoporosis.
    Wu XM; Ma X; Tang C; Xie KN; Liu J; Guo W; Yan YL; Shen GH; Luo EP
    Genet Mol Res; 2013 Oct; 12(4):4751-9. PubMed ID: 24222250
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Identification of breast cancer hub genes and analysis of prognostic values using integrated bioinformatics analysis.
    Fang E; Zhang X
    Cancer Biomark; 2017 Dec; 21(1):373-381. PubMed ID: 29081411
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of potential therapeutic target genes, key miRNAs and mechanisms in acute myeloid leukemia based on bioinformatics analysis.
    Zhao Y; Zhang X; Zhao Y; Kong D; Qin F; Sun J; Dong Y
    Med Oncol; 2015 May; 32(5):152. PubMed ID: 25832863
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Screening the Cancer Genome Atlas Database for Genes of Prognostic Value in Acute Myeloid Leukemia.
    Ni J; Wu Y; Qi F; Li X; Yu S; Liu S; Feng J; Zheng Y
    Front Oncol; 2019; 9():1509. PubMed ID: 32039005
    [No Abstract]   [Full Text] [Related]  

  • 18. Identifying hub genes and dysregulated pathways in hepatocellular carcinoma.
    Jin B; Wang W; Du G; Huang GZ; Han LT; Tang ZY; Fan DG; Li J; Zhang SZ
    Eur Rev Med Pharmacol Sci; 2015 Feb; 19(4):592-601. PubMed ID: 25753876
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of six hub genes and analysis of their correlation with drug sensitivity in acute myeloid leukemia through bioinformatics.
    Cai D; Liang J; Cai XD; Yang Y; Liu G; Zhou F; He D
    Transl Cancer Res; 2021 Jan; 10(1):126-140. PubMed ID: 35116245
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Differential gene expression analysis in glioblastoma cells and normal human brain cells based on GEO database.
    Wang A; Zhang G
    Oncol Lett; 2017 Nov; 14(5):6040-6044. PubMed ID: 29113243
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.