These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

560 related articles for article (PubMed ID: 31729978)

  • 1. 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]  

  • 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. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
    Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
    Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prospective pathway signaling and prognostic values of MicroRNA-9 in ovarian cancer based on gene expression omnibus (GEO): a bioinformatics analysis.
    Zuo L; Li X; Tan Y; Zhu H; Xiao M
    J Ovarian Res; 2021 Feb; 14(1):29. PubMed ID: 33563317
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Identification of latent biomarkers in connection with progression and prognosis in oral cancer by comprehensive bioinformatics analysis.
    Reyimu A; Chen Y; Song X; Zhou W; Dai J; Jiang F
    World J Surg Oncol; 2021 Aug; 19(1):240. PubMed ID: 34384424
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. Integrative analysis of key candidate genes and signaling pathways in ovarian cancer by bioinformatics.
    Dong C; Tian X; He F; Zhang J; Cui X; He Q; Si P; Shen Y
    J Ovarian Res; 2021 Jul; 14(1):92. PubMed ID: 34253236
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Analysis of potential key genes in very early hepatocellular carcinoma.
    Wu M; Liu Z; Li X; Zhang A; Lin D; Li N
    World J Surg Oncol; 2019 May; 17(1):77. PubMed ID: 31043166
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of hub genes and pathways in adrenocortical carcinoma by integrated bioinformatic analysis.
    Guo J; Gu Y; Ma X; Zhang L; Li H; Yan Z; Han Y; Xie L; Guo X
    J Cell Mol Med; 2020 Apr; 24(8):4428-4438. PubMed ID: 32147961
    [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 and validation of key genes with prognostic value in non-small-cell lung cancer via integrated bioinformatics analysis.
    Wang L; Qu J; Liang Y; Zhao D; Rehman FU; Qin K; Zhang X
    Thorac Cancer; 2020 Apr; 11(4):851-866. PubMed ID: 32059076
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comprehensively analyzing the genetic alterations, and identifying key genes in ovarian cancer.
    Tang Q; Atiq W; Mahnoor S; Abdel-Maksoud MA; Aufy M; Yaz H; Zhu J
    Oncol Res; 2023; 31(2):141-156. PubMed ID: 37304238
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gastric cancer.
    Wu Q; Zhang B; Wang Z; Hu X; Sun Y; Xu R; Chen X; Wang Q; Ju F; Ren S; Zhang C; Qi F; Ma Q; Xue Q; Zhou YL
    Pathol Res Pract; 2019 May; 215(5):1038-1048. PubMed ID: 30975489
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 28.