BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

251 related articles for article (PubMed ID: 30786729)

  • 1. Identification of Potential Key Genes and Pathways in Early-Onset Colorectal Cancer Through Bioinformatics Analysis.
    Zhao B; Baloch Z; Ma Y; Wan Z; Huo Y; Li F; Zhao Y
    Cancer Control; 2019; 26(1):1073274819831260. PubMed ID: 30786729
    [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. 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]  

  • 4. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
    Yang C; Gong A
    Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
    [No Abstract]   [Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. Identification of Key Genes and Pathways in Myeloma side population cells by Bioinformatics Analysis.
    Yang Q; Li K; Li X; Liu J
    Int J Med Sci; 2020; 17(14):2063-2076. PubMed ID: 32922167
    [No Abstract]   [Full Text] [Related]  

  • 8. An Integrated Microarray Analysis Reveals Significant Diagnostic and Prognostic Biomarkers in Pancreatic Cancer.
    Yang ZQ; Liu YJ; Zhou XL
    Med Sci Monit; 2020 Apr; 26():e921769. PubMed ID: 32235821
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of potential therapeutic targets associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis.
    Sharma A; Yadav D; Rao P; Sinha S; Goswami D; Rawal RM; Shrivastava N
    Comput Biol Med; 2022 Jul; 146():105688. PubMed ID: 35680454
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A network-based predictive gene expression signature for recurrence risks in stage II colorectal cancer.
    Yang WJ; Wang HB; Wang WD; Bai PY; Lu HX; Sun CH; Liu ZS; Guan DK; Yang GW; Zhang GL
    Cancer Med; 2020 Jan; 9(1):179-193. PubMed ID: 31724326
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
    Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
    J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of Potential Hub Genes and Signal Pathways Promoting the Distinct Biological Features of Cord Blood-Derived Endothelial Progenitor Cells Via Bioinformatics.
    Wang Q; Chen S; Wu J; Liu D; Jiang N; Wang B; Zhai J; Liu Z
    Genet Test Mol Biomarkers; 2020 Sep; 24(9):549-561. PubMed ID: 32744910
    [No Abstract]   [Full Text] [Related]  

  • 13. Screening of hub genes and pathways in colorectal cancer with microarray technology.
    Wang Y; Zheng T
    Pathol Oncol Res; 2014 Jul; 20(3):611-8. PubMed ID: 24504536
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of candidate biomarkers and therapeutic drugs of colorectal cancer by integrated bioinformatics analysis.
    Zheng Z; Xie J; Xiong L; Gao M; Qin L; Dai C; Liang Z; Wang Y; Xue J; Wang Q; Wang W; Li X
    Med Oncol; 2020 Oct; 37(11):104. PubMed ID: 33078282
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of potential hub genes via bioinformatics analysis combined with experimental verification in colorectal cancer.
    Zhou H; Yang Z; Yue J; Chen Y; Chen T; Mu T; Liu H; Bi X
    Mol Carcinog; 2020 Apr; 59(4):425-438. PubMed ID: 32064687
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bioinformatics Analysis of Key Genes and Pathways in Colorectal Cancer.
    Qi Y; Qi H; Liu Z; He P; Li B
    J Comput Biol; 2019 Apr; 26(4):364-375. PubMed ID: 30810359
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification and clinicopathological analysis of potential p73-regulated biomarkers in colorectal cancer via integrative bioinformatics.
    Bareja C; Dwivedi K; Uboveja A; Mathur A; Kumar N; Saluja D
    Sci Rep; 2024 Apr; 14(1):9894. PubMed ID: 38688978
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of Hepatocellular Carcinoma-Related Potential Genes and Pathways Through Bioinformatic-Based Analyses.
    Wan Z; Zhang X; Luo Y; Zhao B
    Genet Test Mol Biomarkers; 2019 Nov; 23(11):766-777. PubMed ID: 31633428
    [No Abstract]   [Full Text] [Related]  

  • 19. Integrated analysis of intestinal microbiota and host gene expression in colorectal cancer patients.
    Chen Y; Si H; Bao B; Li S; Teng D; Yan Y; Hu S; Xu Y; Du X
    J Med Microbiol; 2022 Sep; 71(9):. PubMed ID: 36136380
    [No Abstract]   [Full Text] [Related]  

  • 20. Analysis of potential genes and pathways associated with the colorectal normal mucosa-adenoma-carcinoma sequence.
    Wu Z; Liu Z; Ge W; Shou J; You L; Pan H; Han W
    Cancer Med; 2018 Jun; 7(6):2555-2566. PubMed ID: 29659199
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.