BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

180 related articles for article (PubMed ID: 31853298)

  • 21. Screening key genes and signaling pathways in colorectal cancer by integrated bioinformatics analysis.
    Yu C; Chen F; Jiang J; Zhang H; Zhou M
    Mol Med Rep; 2019 Aug; 20(2):1259-1269. PubMed ID: 31173250
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Bioinformatics analysis of the regulatory lncRNA‑miRNA‑mRNA network and drug prediction in patients with hypertrophic cardiomyopathy.
    Li J; Wu Z; Zheng D; Sun Y; Wang S; Yan Y
    Mol Med Rep; 2019 Jul; 20(1):549-558. PubMed ID: 31180540
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. Evaluation of core serous epithelial ovarian cancer genes as potential prognostic markers and indicators of the underlying molecular mechanisms using an integrated bioinformatics analysis.
    Zhang YB; Jiang Y; Wang J; Ma J; Han S
    Oncol Lett; 2019 Nov; 18(5):5508-5522. PubMed ID: 31612059
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. Identification of key pathways and genes in nasopharyngeal carcinoma using bioinformatics analysis.
    Zhu HM; Fei Q; Qian LX; Liu BL; He X; Yin L
    Oncol Lett; 2019 May; 17(5):4683-4694. PubMed ID: 30988824
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Identification of differentially expressed metastatic genes and their signatures to predict the overall survival of uveal melanoma patients by bioinformatics analysis.
    Zhao DD; Zhao X; Li WT
    Int J Ophthalmol; 2020; 13(7):1046-1053. PubMed ID: 32685390
    [TBL] [Abstract][Full Text] [Related]  

  • 28. High gene expression levels of VEGFA and CXCL8 in the peritumoral brain zone are associated with the recurrence of glioblastoma: A bioinformatics analysis.
    Luo X; Xu S; Zhong Y; Tu T; Xu Y; Li X; Wang B; Yang F
    Oncol Lett; 2019 Dec; 18(6):6171-6179. PubMed ID: 31788092
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Identification for Exploring Underlying Pathogenesis and Therapy Strategy of Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
    Xu Z; Jiang P; He S
    Med Sci Monit; 2019 Dec; 25():9216-9226. PubMed ID: 31794546
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Bioinformatics analysis reveals novel core genes associated with nonalcoholic fatty liver disease and nonalcoholic steatohepatitis.
    Feng G; Li XP; Niu CY; Liu ML; Yan QQ; Fan LP; Li Y; Zhang KL; Gao J; Qian MR; He N; Mi M
    Gene; 2020 Jun; 742():144549. PubMed ID: 32184169
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Identification of Key Genes and Pathways in Post-traumatic Stress Disorder Using Microarray Analysis.
    Bian Y; Yang L; Zhao M; Li Z; Xu Y; Zhou G; Li W; Zeng L
    Front Psychol; 2019; 10():302. PubMed ID: 30873067
    [No Abstract]   [Full Text] [Related]  

  • 32. Molecular mechanisms underlying endometriosis pathogenesis revealed by bioinformatics analysis of microarray data.
    Ping S; Ma C; Liu P; Yang L; Yang X; Wu Q; Zhao X; Gong B
    Arch Gynecol Obstet; 2016 Apr; 293(4):797-804. PubMed ID: 26354330
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Identification of candidate genes associated with the pathogenesis of small cell lung cancer via integrated bioinformatics analysis.
    Liao Y; Yin G; Wang X; Zhong P; Fan X; Huang C
    Oncol Lett; 2019 Oct; 18(4):3723-3733. PubMed ID: 31516585
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis.
    Li F; Guo P; Dong K; Guo P; Wang H; Lv X
    J Comput Biol; 2019 Nov; 26(11):1278-1295. PubMed ID: 31233342
    [No Abstract]   [Full Text] [Related]  

  • 36. In search of key genes associated with endometriosis using bioinformatics approach.
    Liu F; Lv X; Yu H; Xu P; Ma R; Zou K
    Eur J Obstet Gynecol Reprod Biol; 2015 Nov; 194():119-24. PubMed ID: 26366788
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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]  

  • 38. Investigation of differentially expressed genes in nasopharyngeal carcinoma by integrated bioinformatics analysis.
    Zou Z; Gan S; Liu S; Li R; Huang J
    Oncol Lett; 2019 Jul; 18(1):916-926. PubMed ID: 31289570
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. Identification and analysis of novel endometriosis biomarkers
    Bae SJ; Jo Y; Cho MK; Jin JS; Kim JY; Shim J; Kim YH; Park JK; Ryu D; Lee HJ; Joo J; Ha KT
    Front Endocrinol (Lausanne); 2022; 13():942368. PubMed ID: 36339397
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.