BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

216 related articles for article (PubMed ID: 35184458)

  • 21. Identification of Key Genes and Pathways in Myeloma side population cells by Bioinformatics Analysis.
    Yang Q; Li K; Li X; Liu J
    Int J Med Sci; 2020; 17(14):2063-2076. PubMed ID: 32922167
    [No Abstract]   [Full Text] [Related]  

  • 22. [Bioinformatics analysis and key gene verification of sepsis myocardial macrophage microarray data based on GEO database].
    Hu DX; Chen SS; Yu Y; Hu LL; Liu L; Yu LL
    Zhonghua Xin Xue Guan Bing Za Zhi; 2023 Jul; 51(7):759-768. PubMed ID: 37460430
    [No Abstract]   [Full Text] [Related]  

  • 23. Identification of CD20, ECM, and ITGA as Biomarkers for Osteosarcoma by Integrating Transcriptome Analysis.
    Wang DW; Yu SY; Cao Y; Yang L; Liu W; Er XQ; Yao GJ; Bi ZG
    Med Sci Monit; 2016 Jun; 22():2075-85. PubMed ID: 27314445
    [TBL] [Abstract][Full Text] [Related]  

  • 24. High Expression of N-Acetylgalactosaminyl-transferase 1 (GALNT1) Associated with Invasion, Metastasis, and Proliferation in Osteosarcoma.
    Zhang L; Lv B; Shi X; Gao G
    Med Sci Monit; 2020 Dec; 26():e927837. PubMed ID: 33284788
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Exploring the key genes and pathways of osteosarcoma with pulmonary metastasis using a gene expression microarray.
    Shi Z; Zhou H; Pan B; Lu L; Wei Z; Shi L; Yao X; Kang Y; Feng S
    Mol Med Rep; 2017 Nov; 16(5):7423-7431. PubMed ID: 28944885
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Identification of key genes and pathways in pelvic organ prolapse based on gene expression profiling by bioinformatics analysis.
    Zhou Q; Hong L; Wang J
    Arch Gynecol Obstet; 2018 May; 297(5):1323-1332. PubMed ID: 29546564
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Identification of potential micro-messenger RNAs (miRNA-mRNA) interaction network of osteosarcoma.
    Xu K; Zhang P; Zhang J; Quan H; Wang J; Liang Y
    Bioengineered; 2021 Dec; 12(1):3275-3293. PubMed ID: 34252359
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Regulatory network of differentially expressed genes in metastatic osteosarcoma.
    Yao P; Wang ZB; Ding YY; Ma JM; Hong T; Pan SN; Zhang J
    Mol Med Rep; 2015 Mar; 11(3):2104-10. PubMed ID: 25434727
    [TBL] [Abstract][Full Text] [Related]  

  • 29. [Bioinformatics Analysis of Microarray Data in Myelodysplastic Syndrome Based on Gene Expression Omnibus Database].
    Ding BJ; Zhou H; Liu L; Xu PP; Liu JP; Song YP
    Zhongguo Shi Yan Xue Ye Xue Za Zhi; 2022 Apr; 30(2):511-515. PubMed ID: 35395988
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Construction of a transcription factor-miRNA-mRNA interactive network elucidates underlying pathogenesis for osteosarcoma and validation by qRT-PCR.
    Tang F; Jiang X; Liao S; Liu Y; He M
    Medicine (Baltimore); 2022 Oct; 101(41):e31049. PubMed ID: 36254052
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Identification of Key Biomarkers and Potential Molecular Mechanisms in Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
    Yang B; Dong K; Guo P; Guo P; Jie G; Zhang G; Li T
    J Comput Biol; 2020 Jan; 27(1):40-54. PubMed ID: 31424263
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Identification of differentially expressed metastatic genes and their signatures to predict the overall survival of uveal melanoma patients by bioinformatics analysis.
    Zhao DD; Zhao X; Li WT
    Int J Ophthalmol; 2020; 13(7):1046-1053. PubMed ID: 32685390
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Bioinformatics Analysis Identifies Hub Genes and Molecular Pathways Involved in Sepsis-Induced Myopathy.
    Ning YL; Yang ZQ; Xian SX; Lin JZ; Lin XF; Chen WT
    Med Sci Monit; 2020 Feb; 26():e919665. PubMed ID: 32008037
    [TBL] [Abstract][Full Text] [Related]  

  • 34. [Screening of differentially expressed genes for colorectal cancer and prediction of potential traditional Chinese medicine: based on bioinformatics].
    Yun ZJ; Wang HJ; Yu YX; Sun ZY; Yao SK
    Zhongguo Zhong Yao Za Zhi; 2022 Mar; 47(6):1666-1676. PubMed ID: 35347966
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Identification of Key Genes and Pathways Associated with Hepatosplenic T-Cell Lymphoma (HSTCL) by Bioinformatics Analysis.
    Du J; Lu G; Xu B; Han XL; Mou WW
    Clin Lab; 2021 May; 67(5):. PubMed ID: 33978371
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Prognostic values and prospective pathway signaling of MicroRNA-182 in ovarian cancer: a study based on gene expression omnibus (GEO) and bioinformatics analysis.
    Li Y; Li L
    J Ovarian Res; 2019 Nov; 12(1):106. PubMed ID: 31703725
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Bioinformatics analysis and validation of mesenchymal stem cells related gene MT1G in osteosarcoma.
    Zheng S; Cheng X; Ke S; Zhang L; Wu H; He D; Cheng X
    Aging (Albany NY); 2024 May; 16(9):8155-8170. PubMed ID: 38747739
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Identification and verification of key cancer genes associated with prognosis of colorectal cancer based on bioinformatics analysis.
    Qin Y; Chen L; Chen L
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2021 Oct; 46(10):1063-1070. PubMed ID: 34911835
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Identification of Key Genes Affecting Results of Hyperthermia in Osteosarcoma Based on Integrative ChIP-Seq/TargetScan Analysis.
    Shi Y; Yang F; Wei S; Xu G
    Med Sci Monit; 2017 Apr; 23():2042-2048. PubMed ID: 28453502
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Identification of core genes and potential molecular mechanisms in breast cancer using bioinformatics analysis.
    Liu F; Wu Y; Mi Y; Gu L; Sang M; Geng C
    Pathol Res Pract; 2019 Jul; 215(7):152436. PubMed ID: 31076281
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.