BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

79 related articles for article (PubMed ID: 33455094)

  • 1. 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]  

  • 2. Screening and identification of key genes and pathways in metastatic uveal melanoma based on gene expression using bioinformatic analysis.
    Xie J; Wu Z; Xu X; Liang G; Xu J
    Medicine (Baltimore); 2020 Oct; 99(43):e22974. PubMed ID: 33120861
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Screening of potential hub genes and key pathways associated with breast cancer by bioinformatics tools.
    Oumeddour A
    Medicine (Baltimore); 2023 Mar; 102(11):e33291. PubMed ID: 36930083
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The Analysis of Potential Diagnostic and Therapeutic Targets for the Occurrence and Development of Gastric Cancer Based on Bioinformatics.
    Ding C; Zhang Q; Jiang X; Wei D; Xu S; Li Q; Wu M; Wang H
    Comput Math Methods Med; 2022; 2022():4321466. PubMed ID: 35756405
    [TBL] [Abstract][Full Text] [Related]  

  • 5. In silico analysis of differentially expressed-aberrantly methylated genes in breast cancer for prognostic and therapeutic targets.
    Gadwal A; Purohit P; Khokhar M; Vishnoi JR; Pareek P; Choudhary R; Elhence P; Banerjee M; Sharma P
    Clin Exp Med; 2023 Nov; 23(7):3847-3866. PubMed ID: 37029310
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Screening differentially expressed genes and the pathogenesis in atopic dermatitis using bioinformatics.
    Yang P; Li Y; Li T; Yuan L; Wang S
    Cell Mol Biol (Noisy-le-grand); 2023 Dec; 69(15):73-78. PubMed ID: 38279492
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Survival-based bioinformatics analysis to identify hub genes and key pathways in non-small cell lung cancer.
    Liu C; Chen Y; Deng Y; Dong Y; Jiang J; Chen S; Kang W; Deng J; Sun H
    Transl Cancer Res; 2019 Aug; 8(4):1188-1198. PubMed ID: 35116861
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. A comprehensive meta-analysis of transcriptome data to identify signature genes associated with pancreatic ductal adenocarcinoma.
    Kordshouli SO; Tahmasebi A; Moghadam A; Ramezani A; Niazi A
    PLoS One; 2024; 19(2):e0289561. PubMed ID: 38324544
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of Key Genes in Nasopharyngeal Carcinoma Based on Bioinformatics Analysis.
    Song Y; Feng T; Cao W; Yu H; Zhang Z
    Comput Intell Neurosci; 2022; 2022():9022700. PubMed ID: 35712071
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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 Jan; ():. PubMed ID: 38294732
    [TBL] [Abstract][Full Text] [Related]  

  • 12. In silico analysis of differentially expressed genesets in metastatic breast cancer identifies potential prognostic biomarkers.
    Kim J
    World J Surg Oncol; 2021 Jun; 19(1):188. PubMed ID: 34172056
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of core genes and clinical outcomes in tumors originated from endoderm (gastric cancer and lung carcinoma) via bioinformatics analysis.
    Shi Y; Chang D; Li W; Zhao F; Ren X; Hou B
    Medicine (Baltimore); 2021 Mar; 100(12):e25154. PubMed ID: 33761685
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An in-silico method leads to recognition of hub genes and crucial pathways in survival of patients with breast cancer.
    Dashti S; Taheri M; Ghafouri-Fard S
    Sci Rep; 2020 Oct; 10(1):18770. PubMed ID: 33128008
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Screening differentially expressed genes between endometriosis and ovarian cancer to find new biomarkers for endometriosis.
    Lu Z; Gao Y
    Ann Med; 2021 Dec; 53(1):1377-1389. PubMed ID: 34409913
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Robust Identification of Differential Gene Expression Patterns from Multiple Transcriptomics Datasets for Early Diagnosis, Prognosis, and Therapies for Breast Cancer.
    Tuly KF; Hossen MB; Islam MA; Kibria MK; Alam MS; Harun-Or-Roshid M; Begum AA; Hasan S; Mahumud RA; Mollah MNH
    Medicina (Kaunas); 2023 Sep; 59(10):. PubMed ID: 37893423
    [No Abstract]   [Full Text] [Related]  

  • 17. Clinicopathological and prognostic values of MET expression in pancreatic adenocarcinoma based on bioinformatics analysis.
    Yao Y; Zhan R; Gong C; Lv J; Lu X
    Medicine (Baltimore); 2023 Oct; 102(41):e34656. PubMed ID: 37832054
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of key genes and pathways in adrenocortical carcinoma: evidence from bioinformatic analysis.
    Yin M; Wang Y; Ren X; Han M; Li S; Liang R; Wang G; Gang X
    Front Endocrinol (Lausanne); 2023; 14():1250033. PubMed ID: 38053725
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of common genetic features and pathways involved in pulmonary lymphangioleiomyomatosis and ER-positive breast cancer.
    Yang L; Xiao Y; Ren S
    Medicine (Baltimore); 2023 Sep; 102(39):e34810. PubMed ID: 37773865
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Discovering Gene Signature Shared by Prostate Cancer and Neurodegenerative Diseases Based on the Bioinformatics Approach.
    Su Q; Dai B; Zhang H; Zhang S
    Comput Math Methods Med; 2022; 2022():8430485. PubMed ID: 35799671
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 4.