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Journal Abstract Search

190 related items for PubMed ID: 38609711

  • 1. 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 12; 15(1):117. PubMed ID: 38609711
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  • 3. 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 12; 21(5):363. PubMed ID: 33747220
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  • 5. 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 12; 27(5):903-911. PubMed ID: 32338339
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  • 6. 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 Sep 12; 16(11):e0254283. PubMed ID: 34797837
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  • 8. Identification of key hub genes in knee osteoarthritis through integrated bioinformatics analysis.
    Xu L, Ma J, Zhou C, Shen Z, Zhu K, Wu X, Chen Y, Chen T, Lin X.
    Sci Rep; 2024 Sep 28; 14(1):22437. PubMed ID: 39341952
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  • 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 Sep 28; 11():4105-4112. PubMed ID: 30140156
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  • 10. 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 28; 9(3):205. PubMed ID: 33708832
    [Abstract] [Full Text] [Related]

  • 11. Identification of key gene modules and hub genes of human mantle cell lymphoma by coexpression network analysis.
    Guo D, Wang H, Sun L, Liu S, Du S, Qiao W, Wang W, Hou G, Zhang K, Li C, Teng Q.
    PeerJ; 2020 Feb 28; 8():e8843. PubMed ID: 32219041
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  • 12. 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 18; 13(5):. PubMed ID: 35627287
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  • 13. KEGG-expressed genes and pathways in triple negative breast cancer: Protocol for a systematic review and data mining.
    Chen J, Liu C, Cen J, Liang T, Xue J, Zeng H, Zhang Z, Xu G, Yu C, Lu Z, Wang Z, Jiang J, Zhan X, Zeng J.
    Medicine (Baltimore); 2020 May 18; 99(18):e19986. PubMed ID: 32358373
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  • 14. Identification of Potential Crucial Genes and Key Pathways in Breast Cancer Using Bioinformatic Analysis.
    Deng JL, Xu YH, Wang G.
    Front Genet; 2019 May 18; 10():695. PubMed ID: 31428132
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  • 15. Identification of hub genes in triple-negative breast cancer by integrated bioinformatics analysis.
    Wei LM, Li XY, Wang ZM, Wang YK, Yao G, Fan JH, Wang XS.
    Gland Surg; 2021 Feb 18; 10(2):799-806. PubMed ID: 33708561
    [Abstract] [Full Text] [Related]

  • 16. 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 23; 19(1):86. PubMed ID: 33757543
    [Abstract] [Full Text] [Related]

  • 17. Systematic identification of key functional modules and genes in esophageal cancer.
    Wu R, Zhuang H, Mei YK, Sun JY, Dong T, Zhao LL, Fan ZN, Liu L.
    Cancer Cell Int; 2021 Feb 25; 21(1):134. PubMed ID: 33632229
    [Abstract] [Full Text] [Related]

  • 18. Evaluation of diagnostic value and Mendelian randomization study of appendicitis hub genes obtained by WGCNA analysis.
    Li LS, Tong Y, Yuan C, Zhang W.
    Medicine (Baltimore); 2024 Sep 06; 103(36):e39307. PubMed ID: 39252332
    [Abstract] [Full Text] [Related]

  • 19. Explore Key Genes and Mechanisms Involved in Colon Cancer Progression Based on Bioinformatics Analysis.
    Lan Y, Yang X, Wei Y, Tian Z, Zhang L, Zhou J.
    Appl Biochem Biotechnol; 2024 Sep 06; 196(9):6253-6268. PubMed ID: 38294732
    [Abstract] [Full Text] [Related]

  • 20. 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 06; 120(4):6154-6167. PubMed ID: 30302816
    [Abstract] [Full Text] [Related]

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