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 *

228 related articles for article (PubMed ID: 25535123)

  • 1. Bioinformatics analysis of molecular mechanisms of chronic obstructive pulmonary disease.
    Chen W; Hong YQ; Meng ZL
    Eur Rev Med Pharmacol Sci; 2014; 18(23):3557-63. PubMed ID: 25535123
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comprehensive analysis of gene-expression profile in chronic obstructive pulmonary disease.
    Wei L; Xu D; Qian Y; Huang G; Ma W; Liu F; Shen Y; Wang Z; Li L; Zhang S; Chen Y
    Int J Chron Obstruct Pulmon Dis; 2015; 10():1103-9. PubMed ID: 26089660
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.
    Vastrad B; Vastrad C; Godavarthi A; Chandrashekar R
    Med Oncol; 2017 Sep; 34(11):182. PubMed ID: 28952134
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bioinformatics analysis of gene expression profile data to screen key genes involved in pulmonary sarcoidosis.
    Li H; Zhao X; Wang J; Zong M; Yang H
    Gene; 2017 Jan; 596():98-104. PubMed ID: 27682024
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The PPI network and clusters analysis in glioblastoma.
    He WQ; Gu JW; Li CY; Kuang YQ; Kong B; Cheng L; Zhang JH; Cheng JM; Ma Y
    Eur Rev Med Pharmacol Sci; 2015 Dec; 19(24):4784-90. PubMed ID: 26744869
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of key genes and miRNAs responsible for loss of muscle force in patients during an acute exacerbation of chronic obstructive pulmonary disease.
    Duan Y; Zhou M; Xiao J; Wu C; Zhou L; Zhou F; Du C; Song Y
    Int J Mol Med; 2016 Nov; 38(5):1450-1462. PubMed ID: 28025995
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
    Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
    Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of Biomarkers for Early Diagnosis of Acute Myocardial Infarction.
    Ge WH; Lin Y; Li S; Zong X; Ge ZC
    J Cell Biochem; 2018 Jan; 119(1):650-658. PubMed ID: 28636181
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Exploring of the molecular mechanism of rhinitis via bioinformatics methods.
    Song Y; Yan Z
    Mol Med Rep; 2018 Feb; 17(2):3014-3020. PubMed ID: 29257233
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of potential therapeutic target genes and mechanisms in non-small-cell lung carcinoma in non-smoking women based on bioinformatics analysis.
    Zhou W; Yin M; Cui H; Wang N; Zhao LL; Yuan LZ; Yang XP; Ding XM; Men FZ; Ma X; Na JR
    Eur Rev Med Pharmacol Sci; 2015 Sep; 19(18):3375-84. PubMed ID: 26439031
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Analysis of molecular pathways in pancreatic ductal adenocarcinomas with a bioinformatics approach.
    Wang Y; Li Y
    Asian Pac J Cancer Prev; 2015; 16(6):2561-7. PubMed ID: 25824797
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
    Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
    Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of Genes Related to Endoplasmic Reticulum Stress (ERS) in Chronic Obstructive Pulmonary Disease (COPD) and Clinical Validation.
    Tao S; Jing J; Wang Y; Li F; Ma H
    Int J Chron Obstruct Pulmon Dis; 2023; 18():3085-3097. PubMed ID: 38162988
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Bioinformatic analysis of potential candidates for therapy of inflammatory bowel disease.
    Li XL; Zhou CY; Sun Y; Su ZY; Wang X; N Jia E; Zhang Q; Jiang XF; Qi WQ; Xu Y
    Eur Rev Med Pharmacol Sci; 2015 Nov; 19(22):4275-84. PubMed ID: 26636514
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Screening pathogenic genes in oral squamous cell carcinoma based on the mRNA expression microarray data.
    Ding Y; Liu P; Zhang S; Tao L; Han J
    Int J Mol Med; 2018 Jun; 41(6):3597-3603. PubMed ID: 29512771
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of genes associated with lung cancer by bioinformatics analysis.
    Li J; Yu H; Ma YF; Zhao M; Tang J
    Eur Rev Med Pharmacol Sci; 2017 May; 21(10):2397-2404. PubMed ID: 28617549
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Integrated regulatory network involving differently expressed genes and protein-protein interaction on pancreatic cancer.
    Long J; Wu XD; Liu Z; Xu YH; Ge CL
    Eur Rev Med Pharmacol Sci; 2015 Jul; 19(13):2423-8. PubMed ID: 26214778
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Screening the molecular targets of ovarian cancer based on bioinformatics analysis.
    Du L; Qian X; Dai C; Wang L; Huang D; Wang S; Shen X
    Tumori; 2015; 101(4):384-9. PubMed ID: 25953442
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Screening of feature genes of the renal cell carcinoma with DNA microarray.
    Feng JY; Diao XW; Fan MQ; Wang PX; Xiao Y; Zhong X; Wu RH; Huang CB
    Eur Rev Med Pharmacol Sci; 2013 Nov; 17(22):2994-3001. PubMed ID: 24302177
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of human prolactinoma related genes by DNA microarray.
    Zhao L; Lin M; Wang S
    J Cancer Res Ther; 2014; 10(3):544-8. PubMed ID: 25313736
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.