BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

292 related articles for article (PubMed ID: 25832863)

  • 1. Identification of potential therapeutic target genes, key miRNAs and mechanisms in acute myeloid leukemia based on bioinformatics analysis.
    Zhao Y; Zhang X; Zhao Y; Kong D; Qin F; Sun J; Dong Y
    Med Oncol; 2015 May; 32(5):152. PubMed ID: 25832863
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of potential therapeutic target genes, key miRNAs and mechanisms in oral lichen planus by bioinformatics analysis.
    Gong C; Sun S; Liu B; Wang J; Chen X
    Arch Oral Biol; 2017 Jun; 78():122-128. PubMed ID: 28237528
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of the key genes and microRNAs in adult acute myeloid leukemia with FLT3 mutation by bioinformatics analysis.
    Chen S; Chen Y; Zhu Z; Tan H; Lu J; Qin P; Xu L
    Int J Med Sci; 2020; 17(9):1269-1280. PubMed ID: 32547322
    [No Abstract]   [Full Text] [Related]  

  • 4. Identification of potential therapeutic target genes and mechanisms in non-small-cell lung carcinoma in non-smoking women based on bioinformatics analysis.
    Zhou W; Yin M; Cui H; Wang N; Zhao LL; Yuan LZ; Yang XP; Ding XM; Men FZ; Ma X; Na JR
    Eur Rev Med Pharmacol Sci; 2015 Sep; 19(18):3375-84. PubMed ID: 26439031
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.
    Vastrad B; Vastrad C; Godavarthi A; Chandrashekar R
    Med Oncol; 2017 Sep; 34(11):182. PubMed ID: 28952134
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Identification of differentially expressed genes regulated by molecular signature in breast cancer-associated fibroblasts by bioinformatics analysis.
    Vastrad B; Vastrad C; Tengli A; Iliger S
    Arch Gynecol Obstet; 2018 Jan; 297(1):161-183. PubMed ID: 29063236
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Molecular mechanisms of pathogenesis in hepatocellular carcinoma revealed by RNA‑sequencing.
    Liu Y; Yang Z; Du F; Yang Q; Hou J; Yan X; Geng Y; Zhao Y; Wang H
    Mol Med Rep; 2017 Nov; 16(5):6674-6682. PubMed ID: 28901494
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of key microRNAs and genes in preeclampsia by bioinformatics analysis.
    Luo S; Cao N; Tang Y; Gu W
    PLoS One; 2017; 12(6):e0178549. PubMed ID: 28594854
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of Key Genes and Pathways Associated with RUNX1 Mutations in Acute Myeloid Leukemia Using Bioinformatics Analysis.
    Zhu F; Huang R; Li J; Liao X; Huang Y; Lai Y
    Med Sci Monit; 2018 Oct; 24():7100-7108. PubMed ID: 30289875
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. Evaluation of Expression Profile of Patients with Acute Myeloid Leukemia in Response to Azacitidine with Biological System Approach.
    Hejab R; Rahimi H; Abedinlou H; Ghoraeian P
    Microrna; 2023; 12(3):233-242. PubMed ID: 37642007
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bioinformatic identification of chemoresistance-associated microRNAs in breast cancer based on microarray data.
    Wang YW; Zhang W; Ma R
    Oncol Rep; 2018 Mar; 39(3):1003-1010. PubMed ID: 29328395
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Bioinformatics Analysis Identifies MicroRNAs and Target Genes Associated with Prognosis in Patients with Melanoma.
    Li Q; Zhang LY; Wu S; Huang C; Liu J; Wang P; Cao Y
    Med Sci Monit; 2019 Oct; 25():7784-7794. PubMed ID: 31621692
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Exploring the molecular mechanisms of osteosarcoma by the integrated analysis of mRNAs and miRNA microarrays.
    Shen H; Wang W; Ni B; Zou Q; Lu H; Wang Z
    Int J Mol Med; 2018 Jul; 42(1):21-30. PubMed ID: 29620143
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Biomarker identification in clear cell renal cell carcinoma based on miRNA-seq and digital gene expression-seq data.
    Guan L; Tan J; Li H; Jin X
    Gene; 2018 Mar; 647():205-212. PubMed ID: 29253611
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Screening of Critical Genes and MicroRNAs in Blood Samples of Patients with Ruptured Intracranial Aneurysms by Bioinformatic Analysis of Gene Expression Data.
    Bo L; Wei B; Wang Z; Kong D; Gao Z; Miao Z
    Med Sci Monit; 2017 Sep; 23():4518-4525. PubMed ID: 28930970
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.