BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

156 related articles for article (PubMed ID: 38378847)

  • 21. Identification of potential core genes in esophageal carcinoma using bioinformatics analysis.
    Yang X; Tian M; Zhang W; Chai T; Shen Z; Kang M; Lin J
    Medicine (Baltimore); 2021 Jul; 100(27):e26428. PubMed ID: 34232175
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. FN1 Promotes Thyroid Carcinoma Cell Proliferation and Metastasis by Activating the NF-Κb Pathway.
    Chen C; Shen Z
    Protein Pept Lett; 2023; 30(1):54-64. PubMed ID: 36278453
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. Screening and Identification of Key Biomarkers in Melanoma: Evidence from Bioinformatic Analyses.
    Xia Y; Xie J; Zhao J; Lou Y; Cao D
    J Comput Biol; 2021 Mar; 28(3):317-329. PubMed ID: 32985909
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Comprehensive analysis and identification of key genes and signaling pathways in the occurrence and metastasis of cutaneous melanoma.
    Dai H; Guo L; Lin M; Cheng Z; Li J; Tang J; Huan X; Huang Y; Xu K
    PeerJ; 2020; 8():e10265. PubMed ID: 33240619
    [TBL] [Abstract][Full Text] [Related]  

  • 27. miR-671-5p Promotes Cell Proliferation, Invasion, and Migration in Hepatocellular Carcinoma through Targeting ALDH2.
    Chen X; Luo J; Gao S; Jiang J; Yang B; Zhang Z
    Crit Rev Eukaryot Gene Expr; 2022; 32(4):73-82. PubMed ID: 35695667
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Integrated analysis reveals the pivotal interactions between immune cells in the melanoma tumor microenvironment.
    Chen J; Hu S; Wang H; Zhao T; Song Y; Zhong X; Luo Q; Xu M; He L; Chen Q; Du B; Xiao J; Wang K
    Sci Rep; 2022 Jun; 12(1):10040. PubMed ID: 35710862
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Identification of Hub Genes Associated with Tumor-Infiltrating Immune Cells and ECM Dynamics as the Potential Therapeutic Targets in Gastric Cancer through an Integrated Bioinformatic Analysis and Machine Learning Methods.
    Liu J; Cheng Z
    Comb Chem High Throughput Screen; 2023; 26(4):653-667. PubMed ID: 35996248
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Identification of prognostic genes and construction of a novel gene signature in the skin melanoma based on the tumor microenvironment.
    Yingjuan W; Li Z; Wei C; Xiaoyuan W
    Medicine (Baltimore); 2021 May; 100(21):e26017. PubMed ID: 34032721
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Prognostic biomarkers and immune cell infiltration characteristics in small cell lung cancer.
    Ni J; Si X; Wang H; Zhang X; Zhang L
    Cancer Pathog Ther; 2023 Jan; 1(1):18-24. PubMed ID: 38328611
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Screening of key biomarkers and immune infiltration in Pulmonary Arterial Hypertension via integrated bioinformatics analysis.
    Zeng Y; Li N; Zheng Z; Chen R; Liu W; Cheng J; Zhu J; Zeng M; Peng M; Hong C
    Bioengineered; 2021 Dec; 12(1):2576-2591. PubMed ID: 34233597
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Identification of hub genes with diagnostic values in pancreatic cancer by bioinformatics analyses and supervised learning methods.
    Li C; Zeng X; Yu H; Gu Y; Zhang W
    World J Surg Oncol; 2018 Nov; 16(1):223. PubMed ID: 30428899
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Identification of hub genes, pathways, and related transcription factors in systemic lupus erythematosus: A preliminary bioinformatics analysis.
    Wang Y; Ma Q; Huo Z
    Medicine (Baltimore); 2021 Jun; 100(25):e26499. PubMed ID: 34160465
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Identification of aberrantly methylated differentially expressed genes and pro-tumorigenic role of KIF2C in melanoma.
    Huang CH; Han W; Wu YZ; Shen GL
    Front Genet; 2022; 13():817656. PubMed ID: 35991567
    [No Abstract]   [Full Text] [Related]  

  • 36. Identifying
    Liu XT; Liu TT; Wu MY; Chen QX; Zhuang JX; Wang Q
    Genet Test Mol Biomarkers; 2021 Jan; 25(1):68-78. PubMed ID: 33470885
    [No Abstract]   [Full Text] [Related]  

  • 37. ALDH2 promotes uterine corpus endometrial carcinoma proliferation and construction of clinical survival prognostic model.
    Cui YQ; Xiang Y; Meng F; Ji CH; Xiao R; Li JP; Dai ZT; Liao XH
    Aging (Albany NY); 2021 Oct; 13(20):23588-23602. PubMed ID: 34670872
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Envoplakin Inhibits Macrophage Polarization by Altering the Inflammatory Tumor Microenvironment of Melanoma Through the RAS / ERK Signaling Pathway.
    Cai W; Chen M
    J Inflamm Res; 2024; 17():1687-1706. PubMed ID: 38504693
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. Silencing transcription factor FOXM1 represses proliferation, migration, and invasion while inducing apoptosis of liver cancer stem cells by regulating the expression of ALDH2.
    Chen L; Wu M; Ji C; Yuan M; Liu C; Yin Q
    IUBMB Life; 2020 Feb; 72(2):285-295. PubMed ID: 31580537
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.