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 *

212 related articles for article (PubMed ID: 25695524)

  • 1. Cross-platform meta-analysis of multiple gene expression profiles identifies novel expression signatures in acquired anthracycline-resistant breast cancer.
    Lee YS; Ryu SW; Bae SJ; Park TH; Kwon K; Noh YH; Kim SY
    Oncol Rep; 2015 Apr; 33(4):1985-93. PubMed ID: 25695524
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of novel therapeutic target genes in acquired lapatinib-resistant breast cancer by integrative meta-analysis.
    Lee YS; Hwang SG; Kim JK; Park TH; Kim YR; Myeong HS; Choi JD; Kwon K; Jang CS; Ro YT; Noh YH; Kim SY
    Tumour Biol; 2016 Feb; 37(2):2285-97. PubMed ID: 26361955
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Topological network analysis of differentially expressed genes in cancer cells with acquired gefitinib resistance.
    Lee YS; Hwang SG; Kim JK; Park TH; Kim YR; Myeong HS; Kwon K; Jang CS; Noh YH; Kim SY
    Cancer Genomics Proteomics; 2015; 12(3):153-66. PubMed ID: 25977174
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of key pathways and genes in colorectal cancer using bioinformatics analysis.
    Liang B; Li C; Zhao J
    Med Oncol; 2016 Oct; 33(10):111. PubMed ID: 27581154
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Screening of the prognostic targets for breast cancer based co-expression modules analysis.
    Liu H; Ye H
    Mol Med Rep; 2017 Oct; 16(4):4038-4044. PubMed ID: 28731166
    [TBL] [Abstract][Full Text] [Related]  

  • 6. High-efficient Screening Method for Identification of Key Genes in Breast Cancer Through Microarray and Bioinformatics.
    Liu Z; Liang G; Tan L; Su AN; Jiang W; Gong C
    Anticancer Res; 2017 Aug; 37(8):4329-4335. PubMed ID: 28739725
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bioinformatics analysis of aggressive behavior of breast cancer via an integrated gene regulatory network.
    Yang X; Jia M; Li Z; Lu S; Qi X; Zhao B; Wang X; Rong Y; Shi J; Zhang Z; Xu W; Gao Y; Zhang S; Yu G
    J Cancer Res Ther; 2014; 10(4):1013-8. PubMed ID: 25579546
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Identified differently expressed genes in renal cell carcinoma by using multiple microarray datasets running head: differently expressed genes in renal cell carcinoma.
    Cheng Y; Hong M; Cheng B
    Eur Rev Med Pharmacol Sci; 2014; 18(7):1033-40. PubMed ID: 24763884
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification and characterization of biomarkers and their functions for Lapatinib-resistant breast cancer.
    Zhang L; Huang Y; Zhuo W; Zhu Y; Zhu B; Chen Z
    Med Oncol; 2017 May; 34(5):89. PubMed ID: 28393315
    [TBL] [Abstract][Full Text] [Related]  

  • 11. miRNA expression patterns in chemoresistant breast cancer tissues.
    Lv J; Xia K; Xu P; Sun E; Ma J; Gao S; Zhou Q; Zhang M; Wang F; Chen F; Zhou P; Fu Z; Xie H
    Biomed Pharmacother; 2014 Oct; 68(8):935-42. PubMed ID: 25451164
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Integrative meta-analysis of multiple gene expression profiles in acquired gemcitabine-resistant cancer cell lines to identify novel therapeutic biomarkers.
    Lee YS; Kim JK; Ryu SW; Bae SJ; Kwon K; Noh YH; Kim SY
    Asian Pac J Cancer Prev; 2015; 16(7):2793-800. PubMed ID: 25854364
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of differently expressed genes in leukemia using multiple microarray datasets.
    Zhang ZY; Xu RQ; Guo TJ; Zhang M; Li DX; Lu XY
    Genet Mol Res; 2014 Dec; 13(4):10482-9. PubMed ID: 25511031
    [TBL] [Abstract][Full Text] [Related]  

  • 14. MicroRNA expression profiling and bioinformatics analysis of dysregulated microRNAs in vinorelbine-resistant breast cancer cells.
    Zhong S; Ma T; Zhang X; Lv M; Chen L; Tang J; Zhao J
    Gene; 2015 Feb; 556(2):113-8. PubMed ID: 25445394
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comprehensive Analysis of Transcriptomics and Genetic Alterations Identifies Potential Mechanisms Underlying Anthracycline Therapy Resistance in Breast Cancer.
    Liu Z; Gao J; Gu R; Shi Y; Hu H; Liu J; Huang J; Zhong C; Zhou W; Yang Y; Gong C
    Biomolecules; 2022 Dec; 12(12):. PubMed ID: 36551262
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of genes and pathways related to breast cancer metastasis in an integrated cohort.
    Wang L; Mo C; Wang L; Cheng M
    Eur J Clin Invest; 2021 Jul; 51(7):e13525. PubMed ID: 33615456
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Combined Analysis of ChIP Sequencing and Gene Expression Dataset in Breast Cancer.
    Liu P; Jiang W; Zhou S; Gao J; Zhang H
    Pathol Oncol Res; 2017 Apr; 23(2):361-368. PubMed ID: 27654269
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Potential biomarkers and latent pathways for vasculitis based on latent pathway identification analysis.
    Zhou T; Zhang Y; Wu P; Sun Q; Guo Y; Yang Y
    Int J Rheum Dis; 2014 Jul; 17(6):671-8. PubMed ID: 24867262
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Protein-protein interaction network and mechanism analysis of hepatitis C.
    Tang Y; Tang Q; Dong C; Li X; Zhang Z; An F
    Genet Mol Res; 2015 Mar; 14(1):2069-79. PubMed ID: 25867353
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Construction of an immunorelated protein-protein interaction network for clarifying the mechanism of burn.
    Gao Y; Nai W; Yang L; Lu Z; Shi P; Jin H; Wen H; Wang G
    Burns; 2016 Mar; 42(2):405-13. PubMed ID: 26739088
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.