BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1476 related articles for article (PubMed ID: 30168505)

  • 1. 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]  

  • 2. 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]  

  • 3. Identification of Key Genes in Colorectal Cancer Regulated by miR-34a.
    Wang T; Xu H; Liu X; Chen S; Zhou Y; Zhang X
    Med Sci Monit; 2017 Dec; 23():5735-5743. PubMed ID: 29197895
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bioinformatics Analysis Identifies the Estrogen Receptor 1 (ESR1) Gene and hsa-miR-26a-5p as Potential Prognostic Biomarkers in Patients with Intrahepatic Cholangiocarcinoma.
    Qin X; Song Y
    Med Sci Monit; 2020 May; 26():e921815. PubMed ID: 32435051
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. Construction of an miRNA-mRNA regulatory network in colorectal cancer with bioinformatics methods.
    Su Y; Zhang M; Zhang L; Chen S; Zhang D; Zhang X
    Anticancer Drugs; 2019 Jul; 30(6):588-595. PubMed ID: 30601194
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of crucial miRNAs and genes in esophageal squamous cell carcinoma by miRNA-mRNA integrated analysis.
    Zhong X; Huang G; Ma Q; Liao H; Liu C; Pu W; Xu L; Cai Y; Guo X
    Medicine (Baltimore); 2019 Jul; 98(27):e16269. PubMed ID: 31277149
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Employing bioinformatics analysis to identify hub genes and microRNAs involved in colorectal cancer.
    Ebadfardzadeh J; Kazemi M; Aghazadeh A; Rezaei M; Shirvaliloo M; Sheervalilou R
    Med Oncol; 2021 Aug; 38(9):114. PubMed ID: 34390411
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Biomarker identification and trans-regulatory network analyses in esophageal adenocarcinoma and Barrett's esophagus.
    Lv J; Guo L; Wang JH; Yan YZ; Zhang J; Wang YY; Yu Y; Huang YF; Zhao HP
    World J Gastroenterol; 2019 Jan; 25(2):233-244. PubMed ID: 30670912
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bioinformatic analysis of microRNA-mRNA expression profiles of bladder tissue induced by bladder outlet obstruction in a rat model.
    Duan LJ; Cao QF; Xu D; Liu HL; Qi J
    Mol Med Rep; 2017 Oct; 16(4):4803-4810. PubMed ID: 28791388
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Delineating the underlying molecular mechanisms and key genes involved in metastasis of colorectal cancer via bioinformatics analysis.
    Qi C; Chen Y; Zhou Y; Huang X; Li G; Zeng J; Ruan Z; Xie X; Zhang J
    Oncol Rep; 2018 May; 39(5):2297-2305. PubMed ID: 29517105
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis.
    Shen S; Kong J; Qiu Y; Yang X; Wang W; Yan L
    J Cell Biochem; 2019 Jun; 120(6):10069-10081. PubMed ID: 30525236
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of key pathways and genes in colorectal cancer using bioinformatics analysis.
    Liang B; Li C; Zhao J
    Med Oncol; 2016 Oct; 33(10):111. PubMed ID: 27581154
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. Construction of an miRNA‑gene regulatory network in colorectal cancer through integrated analysis of mRNA and miRNA microarrays.
    Hu J; Yue X; Liu J; Kong D
    Mol Med Rep; 2018 Dec; 18(6):5109-5116. PubMed ID: 30272280
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 74.