BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

194 related articles for article (PubMed ID: 31198978)

  • 1. Screening of differentially expressed genes and identification of NUF2 as a prognostic marker in breast cancer.
    Xu W; Wang Y; Wang Y; Lv S; Xu X; Dong X
    Int J Mol Med; 2019 Aug; 44(2):390-404. PubMed ID: 31198978
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Screening of the prognostic targets for breast cancer based co-expression modules analysis.
    Liu H; Ye H
    Mol Med Rep; 2017 Oct; 16(4):4038-4044. PubMed ID: 28731166
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Integrated bioinformatics analysis reveals key candidate genes and pathways in breast cancer.
    Wang Y; Zhang Y; Huang Q; Li C
    Mol Med Rep; 2018 Jun; 17(6):8091-8100. PubMed ID: 29693125
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. Identification of hub genes to regulate breast cancer metastasis to brain by bioinformatics analyses.
    Tang D; Zhao X; Zhang L; Wang Z; Wang C
    J Cell Biochem; 2019 Jun; 120(6):9522-9531. PubMed ID: 30506958
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Integrated analysis of differentially expressed genes and pathways in triple‑negative breast cancer.
    Peng C; Ma W; Xia W; Zheng W
    Mol Med Rep; 2017 Mar; 15(3):1087-1094. PubMed ID: 28075450
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Investigation of crucial genes and microRNAs in conventional osteosarcoma using gene expression profiling analysis.
    Peng C; Yang Q; Wei B; Yuan B; Liu Y; Li Y; Gu D; Yin G; Wang B; Xu D; Zhang X; Kong D
    Mol Med Rep; 2017 Nov; 16(5):7617-7624. PubMed ID: 28944822
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The Clinicopathological Significance and Correlative Signaling Pathways of an Autophagy-Related Gene, Ambra1, in Breast Cancer: a Study of 25 Microarray RNA-Seq Datasets and in-House Gene Silencing.
    He RQ; Xiong DD; Ma J; Hu XH; Chen G; Sun WL
    Cell Physiol Biochem; 2018; 51(3):1027-1040. PubMed ID: 30476925
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Clinical Value of miR-101-3p and Biological Analysis of its Prospective Targets in Breast Cancer: A Study Based on The Cancer Genome Atlas (TCGA) and Bioinformatics.
    Li CY; Xiong DD; Huang CQ; He RQ; Liang HW; Pan DH; Wang HL; Wang YW; Zhu HW; Chen G
    Med Sci Monit; 2017 Apr; 23():1857-1871. PubMed ID: 28416776
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. Identification of Critical Genes and Five Prognostic Biomarkers Associated with Colorectal Cancer.
    Huang Z; Yang Q; Huang Z
    Med Sci Monit; 2018 Jul; 24():4625-4633. PubMed ID: 29973580
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. Molecular mechanisms associated with breast cancer based on integrated gene expression profiling by bioinformatics analysis.
    Wu D; Han B; Guo L; Fan Z
    J Obstet Gynaecol; 2016 Jul; 36(5):615-21. PubMed ID: 26804550
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of critical genes in nucleus pulposus cells isolated from degenerated intervertebral discs using bioinformatics analysis.
    Zhu Z; Chen G; Jiao W; Wang D; Cao Y; Zhang Q; Wang J
    Mol Med Rep; 2017 Jul; 16(1):553-564. PubMed ID: 28586059
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Microarray based analysis of gene regulation by mesenchymal stem cells in breast cancer.
    Zhang M; Gao CE; Li WH; Yang Y; Chang L; Dong J; Ren YX; Chen D
    Oncol Lett; 2017 Apr; 13(4):2770-2776. PubMed ID: 28454465
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis.
    Hu S; Liao Y; Chen L
    Med Sci Monit; 2018 Sep; 24():6438-6448. PubMed ID: 30213925
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.