BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

169 related articles for article (PubMed ID: 38311637)

  • 61. Development and validation of a model based on immunogenic cell death related genes to predict the prognosis and immune response to bladder urothelial carcinoma.
    Chen L; Lin J; Wen Y; Chen Y; Chen CB
    Front Oncol; 2023; 13():1291720. PubMed ID: 38023241
    [TBL] [Abstract][Full Text] [Related]  

  • 62. Construction and Evaluation of a Tumor Mutation Burden-Related Prognostic Signature for Thyroid Carcinoma.
    Lu H; Liu Q; Chang Q; Du J; Zhang C; Chang W; Guo X; Hu Y; Liu S; Tang G; Chen C
    Comput Math Methods Med; 2021; 2021():1435827. PubMed ID: 34697553
    [TBL] [Abstract][Full Text] [Related]  

  • 63. Mucin 4 mutation is associated with tumor mutation burden and promotes antitumor immunity in colon cancer patients.
    Peng L; Li Y; Gu H; Xiang L; Xiong Y; Wang R; Zhou H; Wang J
    Aging (Albany NY); 2021 Mar; 13(6):9043-9055. PubMed ID: 33714943
    [TBL] [Abstract][Full Text] [Related]  

  • 64. Inhibition of neuroactive ligand-receptor interaction pathway can enhance immunotherapy response in colon cancer: an in silico study.
    Yang Y; Li J; Jing C; Zhai Y; Bai Z; Yang Y; Deng W
    Expert Rev Anticancer Ther; 2023; 23(11):1205-1215. PubMed ID: 37555253
    [TBL] [Abstract][Full Text] [Related]  

  • 65. Identification of Tumor Mutation Burden, Microsatellite Instability, and Somatic Copy Number Alteration Derived Nine Gene Signatures to Predict Clinical Outcomes in STAD.
    Chen C; Chen Y; Jin X; Ding Y; Jiang J; Wang H; Yang Y; Lin W; Chen X; Huang Y; Teng L
    Front Mol Biosci; 2022; 9():793403. PubMed ID: 35480879
    [TBL] [Abstract][Full Text] [Related]  

  • 66. Association of a Novel Prognosis Model with Tumor Mutation Burden and Tumor-Infiltrating Immune Cells in Thyroid Carcinoma.
    Zhang S; Chen S; Wang Y; Zhan Y; Li J; Nong X; Gao B
    Front Genet; 2021; 12():744304. PubMed ID: 34976004
    [TBL] [Abstract][Full Text] [Related]  

  • 67. Thyroid cancer risk prediction model using m6A RNA methylation regulators: integrated bioinformatics analysis and histological validation.
    Zhou W; Lin J; Liu J; Zhang R; Fan A; Xie Q; Hong L; Fan D
    Aging (Albany NY); 2023 Feb; 15(3):846-865. PubMed ID: 36791151
    [TBL] [Abstract][Full Text] [Related]  

  • 68. Construction and Validation of a Reliable Disulfidptosis-Related LncRNAs Signature of the Subtype, Prognostic, and Immune Landscape in Colon Cancer.
    Dong X; Liao P; Liu X; Yang Z; Wang Y; Zhong W; Wang B
    Int J Mol Sci; 2023 Aug; 24(16):. PubMed ID: 37629096
    [TBL] [Abstract][Full Text] [Related]  

  • 69. Analysis of Interleukin-1 Signaling Alterations of Colon Adenocarcinoma Identified Implications for Immunotherapy.
    Zhou X; Liu Y; Xiang J; Wang Y; Wang Q; Xia J; Chen Y; Bai Y
    Front Immunol; 2021; 12():665002. PubMed ID: 34367132
    [TBL] [Abstract][Full Text] [Related]  

  • 70. Circadian Clock Genes Are Correlated with Prognosis and Immune Cell Infiltration in Colon Adenocarcinoma.
    He A; Huang Z; Zhang R; Lu H; Wang J; Cao J; Feng Q
    Comput Math Methods Med; 2022; 2022():1709918. PubMed ID: 35116071
    [TBL] [Abstract][Full Text] [Related]  

  • 71. An epithelial-mesenchymal transition-related mRNA signature associated with the prognosis, immune infiltration and therapeutic response of colon adenocarcinoma.
    Zhang Y; Li Y; Zuo Z; Li T; An Y; Zhang W
    Pathol Oncol Res; 2023; 29():1611016. PubMed ID: 36910014
    [No Abstract]   [Full Text] [Related]  

  • 72. Establishment of a Necroptosis-Related Prognostic Signature to Reveal Immune Infiltration and Predict Drug Sensitivity in Hepatocellular Carcinoma.
    Ren H; Zheng J; Cheng Q; Yang X; Fu Q
    Front Genet; 2022; 13():900713. PubMed ID: 35957699
    [No Abstract]   [Full Text] [Related]  

  • 73. Construction and validation of a prognostic model for colon adenocarcinoma based on bile acid metabolism-related genes.
    Luo Q; Zhou P; Chang S; Huang Z; Zeng X
    Sci Rep; 2023 Aug; 13(1):12728. PubMed ID: 37543674
    [TBL] [Abstract][Full Text] [Related]  

  • 74. Spatially aware graph neural networks and cross-level molecular profile prediction in colon cancer histopathology: a retrospective multi-cohort study.
    Ding K; Zhou M; Wang H; Zhang S; Metaxas DN
    Lancet Digit Health; 2022 Nov; 4(11):e787-e795. PubMed ID: 36307192
    [TBL] [Abstract][Full Text] [Related]  

  • 75. Guidelines on lung adenocarcinoma prognosis based on immuno-glycolysis-related genes.
    Zhang Y; Qin W; Zhang W; Qin Y; Zhou YL
    Clin Transl Oncol; 2023 Apr; 25(4):959-975. PubMed ID: 36447119
    [TBL] [Abstract][Full Text] [Related]  

  • 76. Identification of signature of tumor-infiltrating CD8 T lymphocytes in prognosis and immunotherapy of colon cancer by machine learning.
    Liao K; Yang Q; Xu Y; He Y; Wang J; Li Z; Wu C; Hu J; Wang X
    Clin Immunol; 2023 Dec; 257():109811. PubMed ID: 37858752
    [TBL] [Abstract][Full Text] [Related]  

  • 77. Crosstalk Between the MSI Status and Tumor Microenvironment in Colorectal Cancer.
    Lin A; Zhang J; Luo P
    Front Immunol; 2020; 11():2039. PubMed ID: 32903444
    [TBL] [Abstract][Full Text] [Related]  

  • 78. Analyzing and validating the prognostic value and mechanism of colon cancer immune microenvironment.
    Wang X; Duanmu J; Fu X; Li T; Jiang Q
    J Transl Med; 2020 Aug; 18(1):324. PubMed ID: 32859214
    [TBL] [Abstract][Full Text] [Related]  

  • 79. Based on Molecular Subtypes, Immune Characteristics and Genomic Variation to Constructing and Verifying Multi-Gene Prognostic Characteristics of Colorectal Cancer.
    Gu L; Jiang C; Xu C; Liu Y; Zhou H
    Front Cell Dev Biol; 2022; 10():828415. PubMed ID: 35281077
    [No Abstract]   [Full Text] [Related]  

  • 80. Construction of an Immunophenoscore-Related Signature for Evaluating Prognosis and Immunotherapy Sensitivity in Ovarian Cancer.
    Jiang H; Awuti G; Guo X
    ACS Omega; 2023 Sep; 8(36):33017-33031. PubMed ID: 37720747
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.