These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

190 related articles for article (PubMed ID: 37875600)

  • 1. Identification of an exosome-related signature associated with prognosis and immune infiltration in breast cancer.
    Guo Q; Pan K; Qiu P; Liu Z; Chen J; Lin J
    Sci Rep; 2023 Oct; 13(1):18198. PubMed ID: 37875600
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An exosome-related long non-coding RNAs risk model could predict survival outcomes in patients with breast cancer.
    Qiu P; Guo Q; Lin J; Pan K; Chen J; Ding M
    Sci Rep; 2022 Dec; 12(1):22322. PubMed ID: 36566321
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Characterization of Exosome-Related Gene Risk Model to Evaluate the Tumor Immune Microenvironment and Predict Prognosis in Triple-Negative Breast Cancer.
    Qiu P; Guo Q; Yao Q; Chen J; Lin J
    Front Immunol; 2021; 12():736030. PubMed ID: 34659224
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Construction and validation of a transient receptor potential-related long noncoding RNA signature for prognosis prediction in breast cancer patients.
    Guo Q; Qiu P; Pan K; Chen J; Wang B; Lin J
    Medicine (Baltimore); 2023 Nov; 102(46):e35978. PubMed ID: 37986367
    [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. 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]  

  • 7. Ferroptosis regulators, especially SQLE, play an important role in prognosis, progression and immune environment of breast cancer.
    Tang W; Xu F; Zhao M; Zhang S
    BMC Cancer; 2021 Oct; 21(1):1160. PubMed ID: 34715817
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Exosome-Associated Gene Signature for Predicting the Prognosis of Ovarian Cancer Patients.
    Zhu Z; Geng R; Zhang Y; Liu J; Bai J
    J Immunol Res; 2023; 2023():8727884. PubMed ID: 36726489
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of exosome-related gene signature as a promising diagnostic and therapeutic tool for breast cancer.
    Chen Q; Zhou Q
    Heliyon; 2024 Apr; 10(8):e29551. PubMed ID: 38665551
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification and verification of an exosome-related gene risk model to predict prognosis and evaluate immune infiltration for colorectal cancer.
    Shao H; Yao L; Tao Y; Huang X
    Medicine (Baltimore); 2023 Oct; 102(40):e35365. PubMed ID: 37800824
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of Genes with Prognostic Value in the Breast Cancer Microenvironment Using Bioinformatics Analysis.
    Ren H; Hu D; Mao Y; Su X
    Med Sci Monit; 2020 Apr; 26():e920212. PubMed ID: 32251269
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. An exosome-based specific transcriptomic signature for profiling regulation patterns and modifying tumor immune microenvironment infiltration in triple-negative breast cancer.
    Wang H; Wang R; Luo L; Hong J; Chen X; Shen K; Wang Y; Huang R; Wang Z
    Front Immunol; 2023; 14():1295558. PubMed ID: 38124743
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Unfolded protein response signature unveils novel insights into breast cancer prognosis and tumor microenvironment.
    Zhou N; Kong D; Lin Q; Yang X; Zhou D; Lou L; Huang F
    Cancer Genet; 2023 Aug; 276-277():17-29. PubMed ID: 37343507
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Exploration of prognosis and immunometabolism landscapes in ER+ breast cancer based on a novel lipid metabolism-related signature.
    Shen L; Huang H; Li J; Chen W; Yao Y; Hu J; Zhou J; Huang F; Ni C
    Front Immunol; 2023; 14():1199465. PubMed ID: 37469520
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of a combined apoptosis and hypoxia gene signature for predicting prognosis and immune infiltration in breast cancer.
    Ren X; Cui H; Wu J; Zhou R; Wang N; Liu D; Xie X; Zhang H; Liu D; Ma X; Dang C; Kang H; Lin S
    Cancer Med; 2022 Oct; 11(20):3886-3901. PubMed ID: 35441810
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development of a prognostic signature based on immune-related genes and the correlation with immune microenvironment in breast cancer.
    Dong M; Cui X; Wang G; Zhang Q; Li X
    Aging (Albany NY); 2022 Jul; 14(13):5427-5448. PubMed ID: 35793235
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of a pyroptosis-related prognostic signature in breast cancer.
    Chen H; Luo H; Wang J; Li J; Jiang Y
    BMC Cancer; 2022 Apr; 22(1):429. PubMed ID: 35443644
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification and development of an independent immune-related genes prognostic model for breast cancer.
    Chen L; Dong Y; Pan Y; Zhang Y; Liu P; Wang J; Chen C; Lu J; Yu Y; Deng R
    BMC Cancer; 2021 Mar; 21(1):329. PubMed ID: 33785008
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A comprehensive study based on exosome-related immunosuppression genes and tumor microenvironment in hepatocellular carcinoma.
    Yang Z; Li X; Pan C; Li Y; Lin L; Jin Y; Zheng J; Yu Z
    BMC Cancer; 2022 Dec; 22(1):1344. PubMed ID: 36550445
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.