BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

192 related articles for article (PubMed ID: 31081967)

  • 1. Novel key genes in triple-negative breast cancer identified by weighted gene co-expression network analysis.
    Chen J; Qian X; He Y; Han X; Pan Y
    J Cell Biochem; 2019 Oct; 120(10):16900-16912. PubMed ID: 31081967
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of key genes as potential biomarkers for triple‑negative breast cancer using integrating genomics analysis.
    Zhong G; Lou W; Shen Q; Yu K; Zheng Y
    Mol Med Rep; 2020 Feb; 21(2):557-566. PubMed ID: 31974598
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Integrated network analysis and machine learning approach for the identification of key genes of triple-negative breast cancer.
    Naorem LD; Muthaiyan M; Venkatesan A
    J Cell Biochem; 2019 Apr; 120(4):6154-6167. PubMed ID: 30302816
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Novel biomarkers identified in triple-negative breast cancer through RNA-sequencing.
    Chen YL; Wang K; Xie F; Zhuo ZL; Liu C; Yang Y; Wang S; Zhao XT
    Clin Chim Acta; 2022 Jun; 531():302-308. PubMed ID: 35504321
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 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. Identification of CXCR4 and CXCL10 as Potential Predictive Biomarkers in Triple Negative Breast Cancer (TNBC).
    Chuan T; Li T; Yi C
    Med Sci Monit; 2020 Jan; 26():e918281. PubMed ID: 31924747
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Highly heterogeneous-related genes of triple-negative breast cancer: potential diagnostic and prognostic biomarkers.
    Liu Y; Teng L; Fu S; Wang G; Li Z; Ding C; Wang H; Bi L
    BMC Cancer; 2021 May; 21(1):644. PubMed ID: 34053447
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Overexpression of CCNE1 confers a poorer prognosis in triple-negative breast cancer identified by bioinformatic analysis.
    Yuan Q; Zheng L; Liao Y; Wu G
    World J Surg Oncol; 2021 Mar; 19(1):86. PubMed ID: 33757543
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Screening and identification of potential biomarkers in triple-negative breast cancer by integrated analysis.
    Guo J; Gong G; Zhang B
    Oncol Rep; 2017 Oct; 38(4):2219-2228. PubMed ID: 28849078
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Coexpression Network Analysis of Genes Related to the Characteristics of Tumor Stemness in Triple-Negative Breast Cancer.
    Suo HD; Tao Z; Zhang L; Jin ZN; Li XY; Ma W; Wang Z; Qiu Y; Jin F; Chen B; Cao Y
    Biomed Res Int; 2020; 2020():7575862. PubMed ID: 32766313
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of new subtypes and potential genetic signatures in triple-negative breast cancer using weighted gene co-expression network analysis.
    Huang J; Liao LY; Jiang WJ; Li YH; Lu BM; Wen ZP; Li FJ; Fang DL; Lu GM
    Eur Rev Med Pharmacol Sci; 2024 Jan; 28(2):603-614. PubMed ID: 38305604
    [TBL] [Abstract][Full Text] [Related]  

  • 14. ABCC9, NKAPL, and TMEM132C are potential diagnostic and prognostic markers in triple-negative breast cancer.
    Zhang X; Kang X; Jin L; Bai J; Zhang H; Liu W; Wang Z
    Cell Biol Int; 2020 Oct; 44(10):2002-2010. PubMed ID: 32544280
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of Hub Genes Using Co-Expression Network Analysis in Breast Cancer as a Tool to Predict Different Stages.
    Fu Y; Zhou QZ; Zhang XL; Wang ZZ; Wang P
    Med Sci Monit; 2019 Nov; 25():8873-8890. PubMed ID: 31758680
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of Hub Genes to Regulate Breast Cancer Spinal Metastases by Bioinformatics Analyses.
    He Y; Cao Y; Wang X; Jisiguleng W; Tao M; Liu J; Wang F; Chao L; Wang W; Li P; Fu H; Xing W; Zhu Z; Huan Y; Yuan H
    Comput Math Methods Med; 2021; 2021():5548918. PubMed ID: 34055036
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Gene regulatory pattern analysis reveals essential role of core transcriptional factors' activation in triple-negative breast cancer.
    Min L; Zhang C; Qu L; Huang J; Jiang L; Liu J; Pinello L; Yuan GC; Shou C
    Oncotarget; 2017 Mar; 8(13):21938-21953. PubMed ID: 28423538
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comprehensive analysis of novel three-long noncoding RNA signatures as a diagnostic and prognostic biomarkers of human triple-negative breast cancer.
    Fan CN; Ma L; Liu N
    J Cell Biochem; 2019 Mar; 120(3):3185-3196. PubMed ID: 30203490
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.