BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

172 related articles for article (PubMed ID: 38370403)

  • 1. A new 4-gene-based prognostic model accurately predicts breast cancer prognosis and immunotherapy response by integrating WGCNA and bioinformatics analysis.
    Chen W; Kang Y; Sheng W; Huang Q; Cheng J; Pei S; Meng Y
    Front Immunol; 2024; 15():1331841. PubMed ID: 38370403
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Integrating single-cell and bulk transcriptomic analyses to develop a cancer-associated fibroblast-derived biomarker for predicting prognosis and therapeutic response in breast cancer.
    Li C; Yang L; Zhang Y; Hou Q; Wang S; Lu S; Tao Y; Hu W; Zhao L
    Front Immunol; 2023; 14():1307588. PubMed ID: 38235137
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Homologous repair deficiency-associated genes in invasive breast cancer revealed by WGCNA co-expression network analysis and genetic perturbation similarity analysis.
    Chen H; Liu Y; Yin Z; Chen H; Wang Y; Qian Y
    Cell Cycle; 2023 May; 22(9):1077-1100. PubMed ID: 36757135
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multi-omics analysis revealing a senescence-relevant lncRNAs signature for the assessment of response to immunotherapy for breast cancer.
    Yu Z; Zhu Y; Ji J
    Medicine (Baltimore); 2023 Jul; 102(28):e34287. PubMed ID: 37443486
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Oncogenic signaling pathway-related long non-coding RNAs for predicting prognosis and immunotherapy response in breast cancer.
    Li H; Liu H; Hao Q; Liu X; Yao Y; Cao M
    Front Immunol; 2022; 13():891175. PubMed ID: 35990668
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Integration of bioinformatics and machine learning strategies identifies APM-related gene signatures to predict clinical outcomes and therapeutic responses for breast cancer patients.
    Shen HY; Xu JL; Zhu Z; Xu HP; Liang MX; Xu D; Chen WQ; Tang JH; Fang Z; Zhang J
    Neoplasia; 2023 Nov; 45():100942. PubMed ID: 37839160
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A novel hypoxia- and lactate metabolism-related signature to predict prognosis and immunotherapy responses for breast cancer by integrating machine learning and bioinformatic analyses.
    Li J; Qiao H; Wu F; Sun S; Feng C; Li C; Yan W; Lv W; Wu H; Liu M; Chen X; Liu X; Wang W; Cai Y; Zhang Y; Zhou Z; Zhang Y; Zhang S
    Front Immunol; 2022; 13():998140. PubMed ID: 36275774
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A four-gene signature in the tumor microenvironment that significantly associates with the prognosis of patients with breast cancer.
    Wang J; Yang Z; Zhang C; Ouyang J; Zhang G; Wu C
    Gene; 2020 Nov; 761():145049. PubMed ID: 32791092
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A seven-nuclear receptor-based prognostic signature in breast cancer.
    Wu F; Chen W; Kang X; Jin L; Bai J; Zhang H; Zhang X
    Clin Transl Oncol; 2021 Jul; 23(7):1292-1303. PubMed ID: 33210236
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A mitochondrial function-related LncRNA signature predicts prognosis and immune microenvironment for breast cancer.
    Wang Y; Gao S; Xu Y; Tang Z; Liu S
    Sci Rep; 2023 Mar; 13(1):3918. PubMed ID: 36890266
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of the prognostic value of ferroptosis-related gene signature in breast cancer patients.
    Wang D; Wei G; Ma J; Cheng S; Jia L; Song X; Zhang M; Ju M; Wang L; Zhao L; Xin S
    BMC Cancer; 2021 May; 21(1):645. PubMed ID: 34059009
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prognostic and immune implications of a novel 7-methylguanosine-related microRNA signature in breast invasive carcinoma: from exploration to validation.
    Li AY; Xiao HN; Zhao ZY; Xiang C; Chen ZY; Wang PX; Xia Y; Yu B; Li H; Xiao T
    J Cancer Res Clin Oncol; 2023 Sep; 149(11):9105-9128. PubMed ID: 37171615
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Establishment and validation of an aging-related risk signature associated with prognosis and tumor immune microenvironment in breast cancer.
    Wang Z; Liu H; Gong Y; Cheng Y
    Eur J Med Res; 2022 Dec; 27(1):317. PubMed ID: 36581948
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Construction of a Matrix Cancer-Associated Fibroblast Signature Gene-Based Risk Prognostic Signature for Directing Immunotherapy in Patients with Breast Cancer Using Single-Cell Analysis and Machine Learning.
    Huang B; Chen Q; Ye Z; Zeng L; Huang C; Xie Y; Zhang R; Shen H
    Int J Mol Sci; 2023 Aug; 24(17):. PubMed ID: 37685980
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A novel anoikis-related gene signature predicts prognosis in patients with breast cancer and reveals immune infiltration.
    Tang C; Qin L; Li J
    Medicine (Baltimore); 2023 Oct; 102(43):e35732. PubMed ID: 37904416
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Polo-like kinase 1 as a biomarker predicts the prognosis and immunotherapy of breast invasive carcinoma patients.
    Shen J; Zhang W; Jin Q; Gong F; Zhang H; Xu H; Li J; Yao H; Jiang X; Yang Y; Hong L; Mei J; Song Y; Zhou S
    Oncol Res; 2023; 32(2):339-351. PubMed ID: 38186570
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Mitochondrial DNA methylation is a predictor of immunotherapy response and prognosis in breast cancer: scRNA-seq and bulk-seq data insights.
    Ma Y; Du J; Chen M; Gao N; Wang S; Mi Z; Wei X; Zhao J
    Front Immunol; 2023; 14():1219652. PubMed ID: 37457713
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An Immune-Related Long Noncoding RNA Pair as a New Biomarker to Predict the Prognosis of Patients in Breast Cancer.
    Jiang H; Sun J; Liu F; Wu X; Wen Z
    Front Genet; 2022; 13():895200. PubMed ID: 35812755
    [No Abstract]   [Full Text] [Related]  

  • 19. N6-methyladenosine Regulator-Mediated Immune Genes Identify Breast Cancer Immune Subtypes and Predict Immunotherapy Efficacy.
    Zhang MM; Lin YL; Zeng WF; Li Y; Yang Y; Liu M; Ye YJ; Jiang KW; Wang S; Wang S
    Front Genet; 2021; 12():790888. PubMed ID: 34976022
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development of a circHIPK3-based ceRNA network and identification of mRNA signature in breast cancer patients harboring BRCA mutation.
    Lian QX; Song Y; Han L; Wang Z; Song Y
    PeerJ; 2023; 11():e15572. PubMed ID: 37426414
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.