BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

156 related articles for article (PubMed ID: 30613165)

  • 1. Transcriptomic analyses identify key differentially expressed genes and clinical outcomes between triple-negative and non-triple-negative breast cancer.
    Chen B; Tang H; Chen X; Zhang G; Wang Y; Xie X; Liao N
    Cancer Manag Res; 2019; 11():179-190. PubMed ID: 30613165
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Integrated bioinformatic analysis of potential biomarkers of poor prognosis in triple-negative breast cancer.
    Bissanum R; Kamolphiwong R; Navakanitworakul R; Kanokwiroon K
    Transl Cancer Res; 2022 Sep; 11(9):3039-3049. PubMed ID: 36237261
    [TBL] [Abstract][Full Text] [Related]  

  • 3. HORMAD1 promotes docetaxel resistance in triple negative breast cancer by enhancing DNA damage tolerance.
    Zong B; Sun L; Peng Y; Wang Y; Yu Y; Lei J; Zhang Y; Guo S; Li K; Liu S
    Oncol Rep; 2021 Jul; 46(1):. PubMed ID: 34036395
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Integrated Bioinformatics Data Analysis Reveals Prognostic Significance Of SIDT1 In Triple-Negative Breast Cancer.
    Wang Y; Li H; Ma J; Fang T; Li X; Liu J; Afewerky HK; Li X; Gao Q
    Onco Targets Ther; 2019; 12():8401-8410. PubMed ID: 31632087
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of differentially expressed genes between triple and non-triple-negative breast cancer using bioinformatics analysis.
    Zhai Q; Li H; Sun L; Yuan Y; Wang X
    Breast Cancer; 2019 Nov; 26(6):784-791. PubMed ID: 31197620
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of Key Genes and Pathways in Triple-Negative Breast Cancer by Integrated Bioinformatics Analysis.
    Dong P; Yu B; Pan L; Tian X; Liu F
    Biomed Res Int; 2018; 2018():2760918. PubMed ID: 30175120
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bioinformatics Analysis Identifies IL6ST as a Potential Tumor Suppressor Gene for Triple-Negative Breast Cancer.
    Jia R; Weng Y; Li Z; Liang W; Ji Y; Liang Y; Ning P
    Reprod Sci; 2021 Aug; 28(8):2331-2341. PubMed ID: 33650093
    [TBL] [Abstract][Full Text] [Related]  

  • 8. In Silico Analysis of Publicly Available Transcriptomic Data for the Identification of Triple-Negative Breast Cancer-Specific Biomarkers.
    Kaddoura R; Alqutami F; Asbaita M; Hachim M
    Life (Basel); 2023 Feb; 13(2):. PubMed ID: 36836779
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of potential core genes in triple negative breast cancer using bioinformatics analysis.
    Li MX; Jin LT; Wang TJ; Feng YJ; Pan CP; Zhao DM; Shao J
    Onco Targets Ther; 2018; 11():4105-4112. PubMed ID: 30140156
    [TBL] [Abstract][Full Text] [Related]  

  • 10. HORMAD1 overexpression predicts response to anthracycline-cyclophosphamide and survival in triple-negative breast cancers.
    El-Botty R; Vacher S; Mainguené J; Briaux A; Ibadioune S; Dahmani A; Montaudon E; Nemati F; Huguet L; Sourd L; Morriset L; Château-Joubert S; Dubois T; Maire V; Lidereau R; Rapinat A; Gentien D; Coussy F; Bièche I; Marangoni E
    Mol Oncol; 2023 Oct; 17(10):2017-2028. PubMed ID: 36852691
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of Potential Key Genes Associated With the Pathogenesis, Metastasis, and Prognosis of Triple-Negative Breast Cancer on the Basis of Integrated Bioinformatics Analysis.
    Zhao B; Xu Y; Zhao Y; Shen S; Sun Q
    Front Oncol; 2020; 10():856. PubMed ID: 32596149
    [No Abstract]   [Full Text] [Related]  

  • 12. Molecular Features of Triple Negative Breast Cancer: Microarray Evidence and Further Integrated Analysis.
    He J; Yang J; Chen W; Wu H; Yuan Z; Wang K; Li G; Sun J; Yu L
    PLoS One; 2015; 10(6):e0129842. PubMed ID: 26103053
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bioinformatics analysis of human kallikrein 5 (
    Song Y; Bai G; Li X; Zhou L; Si Y; Liu X; Deng Y; Shi Y
    Cancer Innov; 2023 Oct; 2(5):376-390. PubMed ID: 38090381
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Expression and significance of Nek2B and β-catenin in triple negative breast cancer].
    Yan WP; Shen HH; Ma WX; Wang ZY; Shang LF; Shen NN; Qi GY; Wei R; Zhang XQ; Wang C
    Zhonghua Bing Li Xue Za Zhi; 2020 May; 49(5):424-429. PubMed ID: 32392924
    [No Abstract]   [Full Text] [Related]  

  • 15. Identification of potential oncogenes in triple-negative breast cancer based on bioinformatics analyses.
    Xiao X; Zhang Z; Luo R; Peng R; Sun Y; Wang J; Chen X
    Oncol Lett; 2021 May; 21(5):363. PubMed ID: 33747220
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Upregulated cyclins may be novel genes for triple-negative breast cancer based on bioinformatic analysis.
    Lu Y; Yang G; Xiao Y; Zhang T; Su F; Chang R; Ling X; Bai Y
    Breast Cancer; 2020 Sep; 27(5):903-911. PubMed ID: 32338339
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of ribosomal protein family in triple-negative breast cancer by bioinformatics analysis.
    Lin Z; Peng R; Sun Y; Zhang L; Zhang Z
    Biosci Rep; 2021 Jan; 41(1):. PubMed ID: 33305312
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Screening of DNA Damage Repair Genes Involved in the Prognosis of Triple-Negative Breast Cancer Patients Based on Bioinformatics.
    Wang N; Gu Y; Chi J; Liu X; Xiong Y; Zhong C; Wang F; Wang X; Li L
    Front Genet; 2021; 12():721873. PubMed ID: 34408776
    [No Abstract]   [Full Text] [Related]  

  • 19. Identification of Seven Cell Cycle-Related Genes with Unfavorable Prognosis and Construction of their TF-miRNA-mRNA regulatory network in Breast Cancer.
    Hong Z; Wang Q; Hong C; Liu M; Qiu P; Lin R; Lin X; Chen F; Li Q; Liu L; Wang C; Chen D
    J Cancer; 2021; 12(3):740-753. PubMed ID: 33403032
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Knockdown of SPON2 inhibits the growth of triple-negative breast cancer.
    Hu X; Su C; Wei J
    Front Oncol; 2023; 13():1141417. PubMed ID: 36959811
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.