BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

207 related articles for article (PubMed ID: 30678435)

  • 1. Bioinformatics Analysis of Key Genes and Pathways for Medulloblastoma as a Therapeutic Target.
    Shaabanpour Aghamaleki F; Mollashahi B; Aghamohammadi N; Rostami N; Mazloumi Z; Mirzaei H; Moradi A; Sheikhpour M; Movafagh A
    Asian Pac J Cancer Prev; 2019 Jan; 20(1):221-227. PubMed ID: 30678435
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Screening candidate genes associated with bladder cancer using DNA microarray.
    Xu A; Wang C; Sun S
    Mol Med Rep; 2014 Dec; 10(6):3087-91. PubMed ID: 25323786
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 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. Bioinformatics Analysis Identified Key Molecular Changes in Bladder Cancer Development and Recurrence.
    Chen Q; Hu J; Deng J; Fu B; Guo J
    Biomed Res Int; 2019; 2019():3917982. PubMed ID: 31828101
    [No Abstract]   [Full Text] [Related]  

  • 7. 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]  

  • 8. Gene expression profiling via bioinformatics analysis reveals biomarkers in laryngeal squamous cell carcinoma.
    Guan GF; Zheng Y; Wen LJ; Zhang DJ; Yu DJ; Lu YQ; Zhao Y; Zhang H
    Mol Med Rep; 2015 Aug; 12(2):2457-64. PubMed ID: 25936657
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Identification of Skt11-regulated genes in chondrocytes by integrated bioinformatics analysis.
    Liang S; Zhang JM; Lv ZT; Cheng P; Zhu WT; Chen AM
    Gene; 2018 Nov; 677():340-348. PubMed ID: 30107230
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of potential crucial genes and mechanisms associated with metastasis of medulloblastoma based on gene expression profile.
    Wang G; Zhang Z; Tao M; Wei X; Zhou L
    Neurol Res; 2023 Mar; 45(3):260-267. PubMed ID: 36215435
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Screening and identification of key biomarkers in hepatocellular carcinoma: Evidence from bioinformatic analysis.
    Li L; Lei Q; Zhang S; Kong L; Qin B
    Oncol Rep; 2017 Nov; 38(5):2607-2618. PubMed ID: 28901457
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of differential protein-coding gene expressions in early phase lung adenocarcinoma.
    Zhou LN; Li SC; Li XY; Ge H; Li HM
    Thorac Cancer; 2018 Feb; 9(2):234-240. PubMed ID: 29266838
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A comprehensive analysis of candidate genes and pathways in pancreatic cancer.
    Liu J; Li J; Li H; Li A; Liu B; Han L
    Tumour Biol; 2015 Mar; 36(3):1849-57. PubMed ID: 25409614
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker.
    Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z
    Gene; 2019 May; 698():9-18. PubMed ID: 30825595
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bioinformatics-Based Identification of Methylated-Differentially Expressed Genes and Related Pathways in Gastric Cancer.
    Li H; Liu JW; Liu S; Yuan Y; Sun LP
    Dig Dis Sci; 2017 Nov; 62(11):3029-3039. PubMed ID: 28914394
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Exploring the Molecular Mechanism and Biomakers of Liver Cancer Based on Gene Expression Microarray.
    Liu P; Jiang W; Ren H; Zhang H; Hao J
    Pathol Oncol Res; 2015 Sep; 21(4):1077-83. PubMed ID: 25907256
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Screening pathogenic genes in oral squamous cell carcinoma based on the mRNA expression microarray data.
    Ding Y; Liu P; Zhang S; Tao L; Han J
    Int J Mol Med; 2018 Jun; 41(6):3597-3603. PubMed ID: 29512771
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Bioinformatic Profile of Gene Expression of Colorectal Carcinoma Derived Organoids.
    A P; Xu X; Wang C; Ye L; Yang J
    Biomed Res Int; 2018; 2018():2594076. PubMed ID: 30363662
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.