BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

227 related articles for article (PubMed ID: 38435998)

  • 1. Research and experimental verification on the mechanisms of cellular senescence in triple-negative breast cancer.
    Cao T; Huang M; Huang X; Tang T
    PeerJ; 2024; 12():e16935. PubMed ID: 38435998
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of m6A modification patterns and development of m6A-hypoxia prognostic signature to characterize tumor microenvironment in triple-negative breast cancer.
    Shen X; Zhong J; He J; Han J; Chen N
    Front Immunol; 2022; 13():978092. PubMed ID: 36105819
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A novel fatty-acid metabolism-based classification for triple negative breast cancer.
    Yang X; Tang W; He Y; An H; Wang J
    Aging (Albany NY); 2023 Feb; 15(4):1177-1198. PubMed ID: 36880837
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A novel model associated with tumor microenvironment on predicting prognosis and immunotherapy in triple negative breast cancer.
    Zhang J; Zhang M; Tian Q; Yang J
    Clin Exp Med; 2023 Nov; 23(7):3867-3881. PubMed ID: 37219794
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification and Validation of a Novel Glycolysis-Related Gene Signature for Predicting the Prognosis and Therapeutic Response in Triple-Negative Breast Cancer.
    Zheng J; Zhang YF; Han GH; Fan MY; Du MH; Zhang GC; Zhang B; Qiao J; Zhang SX; Cao JM
    Adv Ther; 2023 Jan; 40(1):310-330. PubMed ID: 36316558
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Integrated analysis of single-cell RNA-seq and bulk RNA-seq unravels T cell-related prognostic risk model and tumor immune microenvironment modulation in triple-negative breast cancer.
    Guo S; Liu X; Zhang J; Huang Z; Ye P; Shi J; Stalin A; Wu C; Lu S; Zhang F; Gao Y; Jin Z; Tao X; Huang J; Zhai Y; Shi R; Guo F; Zhou W; Wu J
    Comput Biol Med; 2023 Jul; 161():107066. PubMed ID: 37263064
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comprehensive analysis of scRNA-Seq and bulk RNA-Seq reveals dynamic changes in the tumor immune microenvironment of bladder cancer and establishes a prognostic model.
    Tan Z; Chen X; Zuo J; Fu S; Wang H; Wang J
    J Transl Med; 2023 Mar; 21(1):223. PubMed ID: 36973787
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification and validation of the cellular senescence-related molecular subtypes of triple negative breast cancer via integrating bulk and single-cell RNA sequencing data.
    Ju G; Zeng K; Lu L; Diao H; Wang H; Li X; Zhou T
    Am J Cancer Res; 2023; 13(2):569-588. PubMed ID: 36895975
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A senescence-associated signature refines the classification of different modification patterns and characterization of tumor immune microenvironment infiltration in triple-negative breast cancer.
    Huang R; Wang H; Hong J; Wang Z; Wu J; Huang O; He J; Chen W; Li Y; Chen X; Shen K
    Front Pharmacol; 2023; 14():1191910. PubMed ID: 37251343
    [No Abstract]   [Full Text] [Related]  

  • 10. Identification of cuproptosis-related subtypes, construction of a prognosis model, and tumor microenvironment landscape in gastric cancer.
    Wang J; Qin D; Tao Z; Wang B; Xie Y; Wang Y; Li B; Cao J; Qiao X; Zhong S; Hu X
    Front Immunol; 2022; 13():1056932. PubMed ID: 36479114
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Natural killer cell-related prognostic risk model predicts prognosis and treatment outcomes in triple-negative breast cancer.
    Liu Z; Ding M; Qiu P; Pan K; Guo Q
    Front Immunol; 2023; 14():1200282. PubMed ID: 37520534
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Analysis of single-cell RNA-sequencing data identifies a hypoxic tumor subpopulation associated with poor prognosis in triple-negative breast cancer.
    Shi Y; Huang X; Du Z; Tan J
    Math Biosci Eng; 2022 Apr; 19(6):5793-5812. PubMed ID: 35603379
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of DDIT4 as a potential prognostic marker associated with chemotherapeutic and immunotherapeutic response in triple-negative breast cancer.
    Chen X; Li Z; Liang M; Zhang Z; Zhu D; Lin B; Zhou R; Lu Y
    World J Surg Oncol; 2023 Jun; 21(1):194. PubMed ID: 37391802
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Triple-Negative Breast Cancer Analysis Based on Metabolic Gene Classification and Immunotherapy.
    Zhou Y; Che Y; Fu Z; Zhang H; Wu H
    Front Public Health; 2022; 10():902378. PubMed ID: 35875026
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Establishment of an ovarian cancer omentum metastasis-related prognostic model by integrated analysis of scRNA-seq and bulk RNA-seq.
    Zhang D; Lu W; Cui S; Mei H; Wu X; Zhuo Z
    J Ovarian Res; 2022 Nov; 15(1):123. PubMed ID: 36424614
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Tumor microenvironment characterization in triple-negative breast cancer identifies prognostic gene signature.
    Qin Y; Deng J; Zhang L; Yuan J; Yang H; Li Q
    Aging (Albany NY); 2021 Feb; 13(4):5485-5505. PubMed ID: 33536349
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A combined hypoxia and immune gene signature for predicting survival and risk stratification in triple-negative breast cancer.
    Yang X; Weng X; Yang Y; Zhang M; Xiu Y; Peng W; Liao X; Xu M; Sun Y; Liu X
    Aging (Albany NY); 2021 Aug; 13(15):19486-19509. PubMed ID: 34341184
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Establishment and validation of an individualized macrophage-related gene signature to predict overall survival in patients with triple negative breast cancer.
    Su P; Peng Z; Xu B; Yang B; Jin F
    PeerJ; 2021; 9():e12383. PubMed ID: 34900411
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A senescence-based prognostic gene signature for colorectal cancer and identification of the role of SPP1-positive macrophages in tumor senescence.
    Yu S; Chen M; Xu L; Mao E; Sun S
    Front Immunol; 2023; 14():1175490. PubMed ID: 37090726
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of Genes Associated with Prognosis and Immunotherapy Prediction in Triple-Negative Breast Cancer via M1/M2 Macrophage Ratio.
    Liu J; Deng Y; Liu Z; Li X; Zhang M; Yu X; Liu T; Chen K; Li Z
    Medicina (Kaunas); 2023 Jul; 59(7):. PubMed ID: 37512096
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 12.