BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

114 related articles for article (PubMed ID: 37437506)

  • 21. Identification of Potential Crucial Genes and Key Pathways in Breast Cancer Using Bioinformatic Analysis.
    Deng JL; Xu YH; Wang G
    Front Genet; 2019; 10():695. PubMed ID: 31428132
    [No Abstract]   [Full Text] [Related]  

  • 22. 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]  

  • 23. 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]  

  • 24. Role of TOP2A and CDC6 in liver cancer.
    Jia W; Liu X; Zhang Z
    Medicine (Baltimore); 2023 Oct; 102(42):e35604. PubMed ID: 37861550
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Integrative Bioinformatics Analysis Identifies NEK2 as a Potential Biomarker in Head and Neck Squamous Cell Carcinoma.
    Liu S; Tian W; Li B
    J Comput Biol; 2020 Jan; 27(1):100-108. PubMed ID: 31460782
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Therapeutic targeting of the TPX2/TTK network in colorectal cancer.
    Shaath H; Vishnubalaji R; Elango R; Velayutham D; Jithesh PV; Alajez NM
    Cell Commun Signal; 2023 Sep; 21(1):265. PubMed ID: 37770979
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Identification of key candidate genes involved in melanoma metastasis.
    Chen J; Wu F; Shi Y; Yang D; Xu M; Lai Y; Liu Y
    Mol Med Rep; 2019 Aug; 20(2):903-914. PubMed ID: 31173190
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Screening and predicted value of potential biomarkers for breast cancer using bioinformatics analysis.
    Zeng X; Shi G; He Q; Zhu P
    Sci Rep; 2021 Oct; 11(1):20799. PubMed ID: 34675265
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Identification of key candidate genes, pathways and related prognostic values in ER-negative/HER2-negative breast cancer by bioinformatics analysis.
    Shao N; Yuan K; Zhang Y; Yun Cheang T; Li J; Lin Y
    J BUON; 2018; 23(4):891-901. PubMed ID: 30358191
    [TBL] [Abstract][Full Text] [Related]  

  • 30. In silico analysis revealed the potential circRNA-miRNA-mRNA regulative network of non-small cell lung cancer (NSCLC).
    Balasundaram A; C GPD
    Comput Biol Med; 2023 Jan; 152():106315. PubMed ID: 36495751
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Identification of potential hub genes associated with the pathogenesis and prognosis of hepatocellular carcinoma via integrated bioinformatics analysis.
    Meng Z; Wu J; Liu X; Zhou W; Ni M; Liu S; Guo S; Jia S; Zhang J
    J Int Med Res; 2020 Jul; 48(7):300060520910019. PubMed ID: 32722976
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. Silencing of Nek2 suppresses the proliferation, migration and invasion and induces apoptosis of breast cancer cells by regulating ERK/MAPK signaling.
    Xing Z; Zhang M; Wang X; Liu J; Liu G; Feng K; Wang X
    J Mol Histol; 2021 Aug; 52(4):809-821. PubMed ID: 34009515
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35.
    Yang Q; Qi M; Chen Y; Tian S; Liao F; Dong W
    DNA Cell Biol; 2021 Jul; 40(7):921-935. PubMed ID: 34042518
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Identification of novel biomarkers and small molecule drugs in human colorectal cancer by microarray and bioinformatics analysis.
    Chen J; Wang Z; Shen X; Cui X; Guo Y
    Mol Genet Genomic Med; 2019 Jul; 7(7):e00713. PubMed ID: 31087508
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Differential expression of AURKA/PLK4 in quiescence and senescence of osteosarcoma U2OS cells.
    Xie XL; Zhu HX; Li YM; Chen DT; Fan TY
    Cell Cycle; 2020 Apr; 19(8):884-894. PubMed ID: 32200684
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Bioinformatics Analysis Highlight Differentially Expressed CCNB1 and PLK1 Genes as Potential Anti-Breast Cancer Drug Targets and Prognostic Markers.
    Fang L; Liu Q; Cui H; Zheng Y; Wu C
    Genes (Basel); 2022 Apr; 13(4):. PubMed ID: 35456460
    [TBL] [Abstract][Full Text] [Related]  

  • 39. [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]  

  • 40. Identification of Novel Genes and Associated Drugs in Cervical Cancer by Bioinformatics Methods.
    Wang D; Liu Y; Cheng S; Liu G
    Med Sci Monit; 2022 Apr; 28():e934799. PubMed ID: 35428744
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.