BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

115 related articles for article (PubMed ID: 38903709)

  • 1. Immune cell related signature predicts prognosis in esophageal squamous cell carcinoma based on single-cell and bulk-RNA sequencing.
    Wang X; Peng W; Zhao Y; Sha J; Li N; Huang S; Wang H
    Front Oncol; 2024; 14():1370801. PubMed ID: 38903709
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A novel immune-related gene signature predicts survival in esophageal squamous cell carcinoma.
    Xu T; Dai T; Zeng P; Guo Y; He K
    Transl Cancer Res; 2021 May; 10(5):2354-2367. PubMed ID: 35116551
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development and Validation of a Prognostic Gene Signature Correlated With M2 Macrophage Infiltration in Esophageal Squamous Cell Carcinoma.
    Yao J; Duan L; Huang X; Liu J; Fan X; Xiao Z; Yan R; Liu H; An G; Hu B; Ge Y
    Front Oncol; 2021; 11():769727. PubMed ID: 34926275
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A robust signature associated with patient prognosis and tumor immune microenvironment based on immune-related genes in lung squamous cell carcinoma.
    Zhou H; Zhang H; Shi M; Wang J; Huang Z; Shi J
    Int Immunopharmacol; 2020 Nov; 88():106856. PubMed ID: 32777677
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Development and verification of a hypoxia- and immune-associated prognosis signature for esophageal squamous cell carcinoma.
    Lian L; Teng SB; Xia YY; Shen XM; Zheng Y; Han SG; Wang WJ; Xu XF; Zhou C
    J Gastrointest Oncol; 2022 Apr; 13(2):462-477. PubMed ID: 35557566
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of key genes for esophageal squamous cell carcinoma via integrated bioinformatics analysis and experimental confirmation.
    Hu J; Li R; Miao H; Wen Z
    J Thorac Dis; 2020 Jun; 12(6):3188-3199. PubMed ID: 32642240
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification and characterization of prognosis-related genes in the tumor microenvironment of esophageal squamous cell carcinoma.
    Qu J; Zhao Q; Yang L; Ping Y; Zhang K; Lei Q; Liu F; Zhang Y
    Int Immunopharmacol; 2021 Jul; 96():107616. PubMed ID: 34162127
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A fibroblast-associated signature predicts prognosis and immunotherapy in esophageal squamous cell cancer.
    Ren Q; Zhang P; Zhang X; Feng Y; Li L; Lin H; Yu Y
    Front Immunol; 2023; 14():1199040. PubMed ID: 37313409
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development of immune gene pair-based signature predictive of prognosis and immunotherapy in esophageal cancer.
    Cao K; Ma T; Ling X; Liu M; Jiang X; Ma K; Zhu J; Ma J
    Ann Transl Med; 2021 Oct; 9(20):1591. PubMed ID: 34790797
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A novel and robust pyroptosis-related prognostic signature predicts prognosis and response to immunotherapy in esophageal squamous cell carcinoma.
    Zhang D; Zhao F; Li J; Qin X; Li S; Niu R
    Aging (Albany NY); 2023 Aug; 15(15):7811-7830. PubMed ID: 37561524
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comprehensive Analysis of TRP Channel-Related Genes for Estimating the Immune Microenvironment, Prognosis, and Therapeutic Effect in Patients With Esophageal Squamous Cell Carcinoma.
    Zhao F; Gao S; Qin X; Niu R; Li Z; Wang C; Li S
    Front Cell Dev Biol; 2022; 10():820870. PubMed ID: 35309940
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A more novel and robust gene signature predicts outcome in patients with esophageal squamous cell carcinoma.
    Ma C; Luo H
    Clin Res Hepatol Gastroenterol; 2022 Dec; 46(10):102033. PubMed ID: 36265781
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comprehensive analysis of immune-related gene signature based on ssGSEA algorithms in the prognosis and immune landscape of hepatocellular carcinoma.
    Wang L; Wang L; He P
    Front Genet; 2022; 13():1064432. PubMed ID: 36568383
    [No Abstract]   [Full Text] [Related]  

  • 14. Identification of prognostic immune-related gene signature associated with tumor microenvironment of colorectal cancer.
    Wang Y; Li W; Jin X; Jiang X; Guo S; Xu F; Su X; Wang G; Zhao Z; Gu X
    BMC Cancer; 2021 Aug; 21(1):905. PubMed ID: 34364366
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comprehensive Analysis of PD-L1 Expression, Immune Infiltrates, and m6A RNA Methylation Regulators in Esophageal Squamous Cell Carcinoma.
    Guo W; Tan F; Huai Q; Wang Z; Shao F; Zhang G; Yang Z; Li R; Xue Q; Gao S; He J
    Front Immunol; 2021; 12():669750. PubMed ID: 34054840
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Construction of an immune-related gene signature for overall survival prediction and immune infiltration in gastric cancer.
    Ma XT; Liu X; Ou K; Yang L
    World J Gastrointest Oncol; 2024 Mar; 16(3):919-932. PubMed ID: 38577455
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Construction and Evaluation of a Risk Score Model for Lymph Node Metastasis-Associated Circadian Clock Genes in Esophageal Squamous Carcinoma.
    Cheng J; Chen F; Cheng Y
    Cells; 2022 Oct; 11(21):. PubMed ID: 36359828
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Immune-Stromal Score Signature: Novel Prognostic Tool of the Tumor Microenvironment in Lung Adenocarcinoma.
    Qi X; Qi C; Qin B; Kang X; Hu Y; Han W
    Front Oncol; 2020; 10():541330. PubMed ID: 33072571
    [No Abstract]   [Full Text] [Related]  

  • 19. 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]  

  • 20. Development and Validation of a Machine Learning Prognostic Model of m5C Related immune Genes in Lung Adenocarcinoma.
    Cao X; Ji Y; Li J; Liu Z; Chen C
    Cancer Control; 2024; 31():10732748241237414. PubMed ID: 38537151
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.