BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

293 related articles for article (PubMed ID: 31819501)

  • 1. Integrated Analysis To Identify Molecular Biomarkers Of High-Grade Serous Ovarian Cancer.
    Si M; Zhang J; Cao J; Xie Z; Shu S; Zhu Y; Lang J
    Onco Targets Ther; 2019; 12():10057-10075. PubMed ID: 31819501
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. Integrated analysis of lymphocyte infiltration-associated lncRNA for ovarian cancer via TCGA, GTEx and GEO datasets.
    Wu M; Shang X; Sun Y; Wu J; Liu G
    PeerJ; 2020; 8():e8961. PubMed ID: 32419983
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Integrated weighted gene co-expression network analysis reveals biomarkers associated with prognosis of high-grade serous ovarian cancer.
    Wang B; Chao S; Guo B
    J Clin Lab Anal; 2022 Feb; 36(2):e24165. PubMed ID: 34997982
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Model constructions of chemosensitivity and prognosis of high grade serous ovarian cancer based on evaluation of immune microenvironment and immune response.
    Zhang H; Wu Y; Li H; Sun L; Meng X
    Cancer Cell Int; 2021 Nov; 21(1):593. PubMed ID: 34736480
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10.
    Liu J; Li S; Liang J; Jiang Y; Wan Y; Zhou S; Cheng W
    Cancer Manag Res; 2019; 11():2379-2392. PubMed ID: 30988639
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of Chemoresistance-Associated Key Genes and Pathways in High-Grade Serous Ovarian Cancer by Bioinformatics Analyses.
    Wu Y; Xia L; Guo Q; Zhu J; Deng Y; Wu X
    Cancer Manag Res; 2020; 12():5213-5223. PubMed ID: 32636682
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Elevated mRNA Expression Levels of NCAPG are Associated with Poor Prognosis in Ovarian Cancer.
    Xu T; Dong M; Wang Z; Li H; Li X
    Cancer Manag Res; 2020; 12():5773-5786. PubMed ID: 32765080
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of novel candidate genes and small molecule drugs in ovarian cancer by bioinformatics strategy.
    Wei M; Bai X; Dong Q
    Transl Cancer Res; 2022 Jun; 11(6):1630-1643. PubMed ID: 35836518
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of candidate biomarkers and analysis of prognostic values in ovarian cancer by integrated bioinformatics analysis.
    Xu Z; Zhou Y; Cao Y; Dinh TL; Wan J; Zhao M
    Med Oncol; 2016 Nov; 33(11):130. PubMed ID: 27757782
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of key molecular markers in epithelial ovarian cancer by integrated bioinformatics analysis.
    Qin W; Yuan Q; Liu Y; Zeng Y; Ke D; Dai X; Shuai Y; Hu J; Shi H
    Taiwan J Obstet Gynecol; 2021 Nov; 60(6):983-994. PubMed ID: 34794761
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Characterization of candidate factors associated with the metastasis and progression of high-grade serous ovarian cancer.
    Liu H; Zhou L; Cheng H; Wang S; Luan W; Cai E; Ye X; Zhu H; Cui H; Li Y; Chang X
    Chin Med J (Engl); 2023 Dec; 136(24):2974-2982. PubMed ID: 37284741
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Estrogen receptor 1 and progesterone receptor are distinct biomarkers and prognostic factors in estrogen receptor-positive breast cancer: Evidence from a bioinformatic analysis.
    Wu JR; Zhao Y; Zhou XP; Qin X
    Biomed Pharmacother; 2020 Jan; 121():109647. PubMed ID: 31733575
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Pentraxin 3 is a diagnostic and prognostic marker for ovarian epithelial cancer patients based on comprehensive bioinformatics and experiments.
    Chang X; Li D; Liu C; Zhang Z; Wang T
    Cancer Cell Int; 2021 Apr; 21(1):193. PubMed ID: 33952272
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of core genes in ovarian cancer by an integrative meta-analysis.
    Li W; Liu Z; Liang B; Chen S; Zhang X; Tong X; Lou W; Le L; Tang X; Fu F
    J Ovarian Res; 2018 Nov; 11(1):94. PubMed ID: 30453999
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.