BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

140 related articles for article (PubMed ID: 38520220)

  • 1. Prognostic and immunotherapeutic potential of regulatory T cell-associated signature in ovarian cancer.
    Liu Y; Shan F; Sun Y; Kai H; Cao Y; Huang M; Liu J; Zhang P; Zheng Y
    J Cell Mol Med; 2024 Apr; 28(8):e18248. PubMed ID: 38520220
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Integrative analysis from multi-center studies identifies a weighted gene co-expression network analysis-based Tregs signature in ovarian cancer.
    Cao Y; Liu YL; Lu XY; Kai HL; Han Y; Zheng YL
    Environ Toxicol; 2024 Feb; 39(2):736-750. PubMed ID: 37713585
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development and validation a prognostic model based on natural killer T cells marker genes for predicting prognosis and characterizing immune status in glioblastoma through integrated analysis of single-cell and bulk RNA sequencing.
    Hu J; Xu L; Fu W; Sun Y; Wang N; Zhang J; Yang C; Zhang X; Zhou Y; Wang R; Zhang H; Mou R; Du X; Li X; Hu S; Xie R
    Funct Integr Genomics; 2023 Aug; 23(3):286. PubMed ID: 37650991
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of an Autophagy-Related Signature for Prognosis and Immunotherapy Response Prediction in Ovarian Cancer.
    Ding J; Wang C; Sun Y; Guo J; Liu S; Cheng Z
    Biomolecules; 2023 Feb; 13(2):. PubMed ID: 36830707
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A signature based on anoikis-related genes for the evaluation of prognosis, immunoinfiltration, mutation, and therapeutic response in ovarian cancer.
    Duan Y; Xu X
    Front Endocrinol (Lausanne); 2023; 14():1193622. PubMed ID: 37383389
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Metabolism-related gene vaccines and immune infiltration in ovarian cancer: A novel risk score model of machine learning.
    Fu Y; Huang Z; Huang J; Xiong J; Liu H; Wan X
    J Gene Med; 2024 Jan; 26(1):e3568. PubMed ID: 37455244
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification and Validation of NK Marker Genes in Ovarian Cancer by scRNA-seq Combined with WGCNA Algorithm.
    He X; Feng W
    Mediators Inflamm; 2023; 2023():6845701. PubMed ID: 37144238
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Regulatory T cells are associated with the tumor immune microenvironment and immunotherapy response in triple-negative breast cancer.
    Huang P; Zhou X; Zheng M; Yu Y; Jin G; Zhang S
    Front Immunol; 2023; 14():1263537. PubMed ID: 37767092
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Unveiling the role of regulatory T cells in the tumor microenvironment of pancreatic cancer through single-cell transcriptomics and
    Xu W; Zhang W; Zhao D; Wang Q; Zhang M; Li Q; Zhu W; Xu C
    Front Immunol; 2023; 14():1242909. PubMed ID: 37753069
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deciphering Treg cell roles in esophageal squamous cell carcinoma: a comprehensive prognostic and immunotherapeutic analysis.
    Zhang P; Dong S; Sun W; Zhong W; Xiong J; Gong X; Li J; Lin H; Zhuang Y
    Front Mol Biosci; 2023; 10():1277530. PubMed ID: 37842637
    [No Abstract]   [Full Text] [Related]  

  • 11. Development of a CD8+ T cell associated signature for predicting the prognosis and immunological characteristics of gastric cancer by integrating single-cell and bulk RNA-sequencing.
    Li J; Han T; Wang X; Wang Y; Yang R; Yang Q
    Sci Rep; 2024 Feb; 14(1):4524. PubMed ID: 38402299
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An exosome-derived lncRNA signature identified by machine learning associated with prognosis and biomarkers for immunotherapy in ovarian cancer.
    Cui Y; Zhang W; Lu W; Feng Y; Wu X; Zhuo Z; Zhang D; Zhang Y
    Front Immunol; 2024; 15():1228235. PubMed ID: 38404588
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Identification and validation of pyroptosis-related gene landscape in prognosis and immunotherapy of ovarian cancer.
    Gao L; Ying F; Cai J; Peng M; Xiao M; Sun S; Zeng Y; Xiong Z; Cai L; Gao R; Wang Z
    J Ovarian Res; 2023 Jan; 16(1):27. PubMed ID: 36707884
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Integration of scRNA-Seq and Bulk RNA-Seq to Analyse the Heterogeneity of Ovarian Cancer Immune Cells and Establish a Molecular Risk Model.
    Liang L; Yu J; Li J; Li N; Liu J; Xiu L; Zeng J; Wang T; Wu L
    Front Oncol; 2021; 11():711020. PubMed ID: 34621670
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 5 signature genes revealed by single-cell profiling identified unique immune subtypes affecting the prognosis of ovarian cancer.
    Xiang SY; Li QK; Yang Z; Yi Q
    Eur Rev Med Pharmacol Sci; 2024 Mar; 28(5):2051-2062. PubMed ID: 38497886
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A meta-validated immune infiltration-related gene model predicts prognosis and immunotherapy sensitivity in HNSCC.
    Ding Y; Chu L; Cao Q; Lei H; Li X; Zhuang Q
    BMC Cancer; 2023 Jan; 23(1):45. PubMed ID: 36639648
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of copper metabolism-related subtypes and establishment of the prognostic model in ovarian cancer.
    Zhao S; Zhang X; Gao F; Chi H; Zhang J; Xia Z; Cheng C; Liu J
    Front Endocrinol (Lausanne); 2023; 14():1145797. PubMed ID: 36950684
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Integration of multiple key molecules in lung adenocarcinoma identifies prognostic and immunotherapeutic relevant gene signatures.
    Wu Q; Wang L; Wei H; Li B; Yang J; Wang Z; Xu J; Zhou YL; Zhang B
    Int Immunopharmacol; 2020 Jun; 83():106477. PubMed ID: 32278127
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.