BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

695 related articles for article (PubMed ID: 34384030)

  • 1. Identification of candidate biomarkers correlated with poor prognosis of breast cancer based on bioinformatics analysis.
    Chen G; Yu M; Cao J; Zhao H; Dai Y; Cong Y; Qiao G
    Bioengineered; 2021 Dec; 12(1):5149-5161. PubMed ID: 34384030
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
    Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
    Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of potential key genes for HER-2 positive breast cancer based on bioinformatics analysis.
    Lin Y; Fu F; Lv J; Wang M; Li Y; Zhang J; Wang C
    Medicine (Baltimore); 2020 Jan; 99(1):e18445. PubMed ID: 31895772
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of crucial hub genes and potential molecular mechanisms in breast cancer by integrated bioinformatics analysis and experimental validation.
    Yadav DK; Sharma A; Dube P; Shaikh S; Vaghasia H; Rawal RM
    Comput Biol Med; 2022 Oct; 149():106036. PubMed ID: 36096037
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
    Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
    Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
    [No Abstract]   [Full Text] [Related]  

  • 6. Identification of candidate biomarkers correlated with the pathogenesis and prognosis of breast cancer via integrated bioinformatics analysis.
    Liu S; Liu X; Wu J; Zhou W; Ni M; Meng Z; Jia S; Zhang J; Guo S; Lu S; Li Y
    Medicine (Baltimore); 2020 Dec; 99(49):e23153. PubMed ID: 33285689
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of breast cancer hub genes and analysis of prognostic values using integrated bioinformatics analysis.
    Fang E; Zhang X
    Cancer Biomark; 2017 Dec; 21(1):373-381. PubMed ID: 29081411
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Detection of critical genes associated with poor prognosis in breast cancer via integrated bioinformatics analyses.
    Liu D; Zhang J; Li L; Wang Q; Lan Y
    J BUON; 2020; 25(6):2537-2545. PubMed ID: 33455094
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
    Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
    J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of Differentially Expressed Genes (DEGs) Relevant to Prognosis of Ovarian Cancer by Use of Integrated Bioinformatics Analysis and Validation by Immunohistochemistry Assay.
    Zhang L; Sun L; Zhang B; Chen L
    Med Sci Monit; 2019 Dec; 25():9902-9912. PubMed ID: 31871312
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Bioinformatics analysis of core differentially expressed genes in hepatitis B virus-related hepatocellular carcinoma].
    Yu Y; Cheng J; Mei CZ; Dai YZ
    Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2022 Nov; 34(5):507-513. PubMed ID: 36464255
    [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 transcriptome and network analysis identifies EZH2/CCNB1/PPARG as prognostic factors in breast cancer.
    Li Y; Chen G; Zhang K; Cao J; Zhao H; Cong Y; Qiao G
    Front Genet; 2022; 13():1117081. PubMed ID: 36712863
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Identification of key molecular markers in epithelial ovarian cancer by integrated bioinformatics analysis.
    Qin W; Yuan Q; Liu Y; Zeng Y; Ke D; Dai X; Shuai Y; Hu J; Shi H
    Taiwan J Obstet Gynecol; 2021 Nov; 60(6):983-994. PubMed ID: 34794761
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification and validation of key genes with prognostic value in non-small-cell lung cancer via integrated bioinformatics analysis.
    Wang L; Qu J; Liang Y; Zhao D; Rehman FU; Qin K; Zhang X
    Thorac Cancer; 2020 Apr; 11(4):851-866. PubMed ID: 32059076
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of Biomarkers for Ovarian Cancer Diagnosis and Prognosis by Bioinformatics Analysis and q-PCR Validation.
    Zheng Q; Ye H; Zhong H; Wang M
    Ann Clin Lab Sci; 2022 Nov; 52(6):967-975. PubMed ID: 36564071
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Estrogen receptor 1 and progesterone receptor are distinct biomarkers and prognostic factors in estrogen receptor-positive breast cancer: Evidence from a bioinformatic analysis.
    Wu JR; Zhao Y; Zhou XP; Qin X
    Biomed Pharmacother; 2020 Jan; 121():109647. PubMed ID: 31733575
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Key Genes and Prognostic Analysis in HER2+ Breast Cancer.
    Weng Y; Liang W; Ji Y; Li Z; Jia R; Liang Y; Ning P; Xu Y
    Technol Cancer Res Treat; 2021; 20():1533033820983298. PubMed ID: 33499770
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of Potential Hub Genes and Therapeutic Drugs in Malignant Pleural Mesothelioma by Integrated Bioinformatics Analysis.
    Zhang X; Yang L; Chen W; Kong M
    Oncol Res Treat; 2020; 43(12):656-671. PubMed ID: 33032291
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 35.