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 *

635 related articles for article (PubMed ID: 27757782)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. Target gene screening and evaluation of prognostic values in non-small cell lung cancers by bioinformatics analysis.
    Piao J; Sun J; Yang Y; Jin T; Chen L; Lin Z
    Gene; 2018 Mar; 647():306-311. PubMed ID: 29305979
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. Identification and Interaction Analysis of Molecular Markers in Colorectal Cancer by Integrated Bioinformatics Analysis.
    Han B; Feng D; Yu X; Zhang Y; Liu Y; Zhou L
    Med Sci Monit; 2018 Aug; 24():6059-6069. PubMed ID: 30168505
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Integrated miRNA-mRNA Expression Profiles Revealing Key Molecules in Ovarian Cancer Based on Bioinformatics Analysis.
    Li C; Hong Z; Ou M; Zhu X; Zhang L; Yang X
    Biomed Res Int; 2021; 2021():6673655. PubMed ID: 34734085
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of novel genes associated with a poor prognosis in pancreatic ductal adenocarcinoma via a bioinformatics analysis.
    Zhou J; Hui X; Mao Y; Fan L
    Biosci Rep; 2019 Aug; 39(8):. PubMed ID: 31311829
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
    Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
    Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Screening and predicted value of potential biomarkers for breast cancer using bioinformatics analysis.
    Zeng X; Shi G; He Q; Zhu P
    Sci Rep; 2021 Oct; 11(1):20799. PubMed ID: 34675265
    [TBL] [Abstract][Full Text] [Related]  

  • 17. High-efficient Screening Method for Identification of Key Genes in Breast Cancer Through Microarray and Bioinformatics.
    Liu Z; Liang G; Tan L; Su AN; Jiang W; Gong C
    Anticancer Res; 2017 Aug; 37(8):4329-4335. PubMed ID: 28739725
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis.
    Mou T; Zhu D; Wei X; Li T; Zheng D; Pu J; Guo Z; Wu Z
    World J Surg Oncol; 2017 Mar; 15(1):63. PubMed ID: 28302149
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Identification of key candidate genes, pathways and related prognostic values in ER-negative/HER2-negative breast cancer by bioinformatics analysis.
    Shao N; Yuan K; Zhang Y; Yun Cheang T; Li J; Lin Y
    J BUON; 2018; 23(4):891-901. PubMed ID: 30358191
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 32.