These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

237 related articles for article (PubMed ID: 33708832)

  • 1. Identification of novel prognostic genes of triple-negative breast cancer using meta-analysis and weighted gene co-expressed network analysis.
    Cao W; Jiang Y; Ji X; Guan X; Lin Q; Ma L
    Ann Transl Med; 2021 Feb; 9(3):205. PubMed ID: 33708832
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of a five genes prognosis signature for triple-negative breast cancer using multi-omics methods and bioinformatics analysis.
    Ma J; Chen C; Liu S; Ji J; Wu D; Huang P; Wei D; Fan Z; Ren L
    Cancer Gene Ther; 2022 Nov; 29(11):1578-1589. PubMed ID: 35474355
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Identification of hub genes and diagnostic efficacy for triple-negative breast cancer through WGCNA and Mendelian randomization.
    Lin Y; Wang S; Yang Q
    Discov Oncol; 2024 Apr; 15(1):117. PubMed ID: 38609711
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of Key Prognostic Genes of Triple Negative Breast Cancer by LASSO-Based Machine Learning and Bioinformatics Analysis.
    Chen DL; Cai JH; Wang CCN
    Genes (Basel); 2022 May; 13(5):. PubMed ID: 35627287
    [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. 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]  

  • 8. Identification of Hub Genes and Pathways of Triple Negative Breast Cancer by Expression Profiles Analysis.
    Li L; Huang H; Zhu M; Wu J
    Cancer Manag Res; 2021; 13():2095-2104. PubMed ID: 33688252
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Identification of five hub genes as monitoring biomarkers for breast cancer metastasis in silico.
    Cai Y; Mei J; Xiao Z; Xu B; Jiang X; Zhang Y; Zhu Y
    Hereditas; 2019; 156():20. PubMed ID: 31285741
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Hsa-mir-3163 and CCNB1 may be potential biomarkers and therapeutic targets for androgen receptor positive triple-negative breast cancer.
    Qiu P; Guo Q; Yao Q; Chen J; Lin J
    PLoS One; 2021; 16(11):e0254283. PubMed ID: 34797837
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Identification of NUF2 and FAM83D as potential biomarkers in triple-negative breast cancer.
    Zhai X; Yang Z; Liu X; Dong Z; Zhou D
    PeerJ; 2020; 8():e9975. PubMed ID: 33005492
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. 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]  

  • 18. 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]  

  • 19. 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]  

  • 20. Investigation of Candidate Genes and Pathways in Basal/TNBC Patients by Integrated Analysis.
    Liu Q; Song X; Liu Z; Yu Z
    Technol Cancer Res Treat; 2021; 20():15330338211019506. PubMed ID: 34184566
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.