BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

133 related articles for article (PubMed ID: 32441484)

  • 1. Identification of the key genes associated with chemotherapy sensitivity in ovarian cancer patients.
    Zheng H; Zhang M; Ma S; Yang W; Xie S; Wang Y; Liu Y; Kai J; Ma Q; Lu R; Guo L
    Cancer Med; 2020 Jul; 9(14):5200-5209. PubMed ID: 32441484
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
    Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
    J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prognostic values and prospective pathway signaling of MicroRNA-182 in ovarian cancer: a study based on gene expression omnibus (GEO) and bioinformatics analysis.
    Li Y; Li L
    J Ovarian Res; 2019 Nov; 12(1):106. PubMed ID: 31703725
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of key biomarkers associated with development and prognosis in patients with ovarian carcinoma: evidence from bioinformatic analysis.
    Shen J; Yu S; Sun X; Yin M; Fei J; Zhou J
    J Ovarian Res; 2019 Nov; 12(1):110. PubMed ID: 31729978
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Identification of molecular marker associated with ovarian cancer prognosis using bioinformatics analysis and experiments.
    Zheng MJ; Li X; Hu YX; Dong H; Gou R; Nie X; Liu Q; Ying-Ying H; Liu JJ; Lin B
    J Cell Physiol; 2019 Jul; 234(7):11023-11036. PubMed ID: 30633343
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of significant genes with poor prognosis in ovarian cancer via bioinformatical analysis.
    Feng H; Gu ZY; Li Q; Liu QH; Yang XY; Zhang JJ
    J Ovarian Res; 2019 Apr; 12(1):35. PubMed ID: 31010415
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Construction of a novel prognostic-predicting model correlated to ovarian cancer.
    Tang W; Li J; Chang X; Jia L; Tang Q; Wang Y; Zheng Y; Sun L; Feng Z
    Biosci Rep; 2020 Aug; 40(8):. PubMed ID: 32716025
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The identification of a common different gene expression signature in patients with colorectal cancer.
    Zhao ZW; Fan XX; Yang LL; Song JJ; Fang SJ; Tu JF; Chen MJ; Zheng LY; Wu FZ; Zhang DK; Ying XH; Ji JS
    Math Biosci Eng; 2019 Apr; 16(4):2942-2958. PubMed ID: 31137244
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The identification of key biomarkers in patients with lung adenocarcinoma based on bioinformatics.
    Ni KW; Sun GZ
    Math Biosci Eng; 2019 Aug; 16(6):7671-7687. PubMed ID: 31698633
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Involvement of enhancer of zeste homolog 2 in cisplatin-resistance in ovarian cancer cells by interacting with several genes.
    Wang H; Yu Y; Chen C; Wang Q; Huang T; Hong F; Zhu L
    Mol Med Rep; 2015 Aug; 12(2):2503-10. PubMed ID: 25955318
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Profiling and bioinformatics analyses reveal differential circular RNA expression in ovarian cancer.
    Wang J; Wu A; Yang B; Zhu X; Teng Y; Ai Z
    Gene; 2020 Jan; 724():144150. PubMed ID: 31589961
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Gene expression profiling of epithelial ovarian cancer reveals key genes and pathways associated with chemotherapy resistance.
    Zhang M; Luo SC
    Genet Mol Res; 2016 Jan; 15(1):. PubMed ID: 26909918
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Investigation of hypoxia networks in ovarian cancer via bioinformatics analysis.
    Zhang K; Kong X; Feng G; Xiang W; Chen L; Yang F; Cao C; Ding Y; Chen H; Chu M; Wang P; Zhang B
    J Ovarian Res; 2018 Feb; 11(1):16. PubMed ID: 29482638
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
    Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
    Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of Hub Genes in High-Grade Serous Ovarian Cancer Using Weighted Gene Co-Expression Network Analysis.
    Wu M; Sun Y; Wu J; Liu G
    Med Sci Monit; 2020 Mar; 26():e922107. PubMed ID: 32180586
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of metastasis and prognosis-associated genes for serous ovarian cancer.
    Yang Y; Qi S; Shi C; Han X; Yu J; Zhang L; Qin S; Gao Y
    Biosci Rep; 2020 Jun; 40(6):. PubMed ID: 32510146
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of Differentially Expressed Genes (DEGs) Relevant to Prognosis of Ovarian Cancer by Use of Integrated Bioinformatics Analysis and Validation by Immunohistochemistry Assay.
    Zhang L; Sun L; Zhang B; Chen L
    Med Sci Monit; 2019 Dec; 25():9902-9912. PubMed ID: 31871312
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. FN1, SPARC, and SERPINE1 are highly expressed and significantly related to a poor prognosis of gastric adenocarcinoma revealed by microarray and bioinformatics.
    Li L; Zhu Z; Zhao Y; Zhang Q; Wu X; Miao B; Cao J; Fei S
    Sci Rep; 2019 May; 9(1):7827. PubMed ID: 31127138
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.