BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1615 related articles for article (PubMed ID: 34926275)

  • 1. 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]  

  • 2. 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]  

  • 3. Integrated bioinformatics analysis of differentially expressed genes and immune cell infiltration characteristics in Esophageal Squamous cell carcinoma.
    Feng Z; Qu J; Liu X; Liang J; Li Y; Jiang J; Zhang H; Tian H
    Sci Rep; 2021 Aug; 11(1):16696. PubMed ID: 34404882
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of prognostic gene signature associated with microenvironment of lung adenocarcinoma.
    Yue C; Ma H; Zhou Y
    PeerJ; 2019; 7():e8128. PubMed ID: 31803536
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Tumor microenvironment related novel signature predict lung adenocarcinoma survival.
    Chen J; Zhou R
    PeerJ; 2021; 9():e10628. PubMed ID: 33520448
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. Identification of a nomogram based on long non-coding RNA to improve prognosis prediction of esophageal squamous cell carcinoma.
    Li W; Liu J; Zhao H
    Aging (Albany NY); 2020 Jan; 12(2):1512-1526. PubMed ID: 31978896
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Novel chemokine related LncRNA signature correlates with the prognosis, immune landscape, and therapeutic sensitivity of esophageal squamous cell cancer.
    Zhang Z; Wang J; Han W; Zhao L
    BMC Gastroenterol; 2023 Apr; 23(1):132. PubMed ID: 37081402
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Identification and validation of an autophagy-related gene signature for predicting prognosis in patients with esophageal squamous cell carcinoma.
    Shi X; Li Y; Pan S; Liu X; Ke Y; Guo W; Wang Y; Ruan Q; Zhang X; Ma H
    Sci Rep; 2022 Feb; 12(1):1960. PubMed ID: 35121801
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Robust Seven-Gene Signature Associated With Tumor Microenvironment to Predict Survival Outcomes of Patients With Stage III-IV Lung Adenocarcinoma.
    Zhao H; Zhang X; Guo L; Shi S; Lu C
    Front Genet; 2021; 12():684281. PubMed ID: 34552612
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Identification of prognostic genes and tumor-infiltrating immune cells in the tumor microenvironment of esophageal squamous cell carcinoma and esophageal adenocarcinoma.
    Huai Q; Guo W; Han L; Kong D; Zhao L; Song P; Peng Y; Gao S
    Transl Cancer Res; 2021 Apr; 10(4):1787-1803. PubMed ID: 35116502
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Low expression of PRDM5 predicts poor prognosis of esophageal squamous cell carcinoma.
    Guo J; Yang Q; Wei S; Shao J; Zhao T; Guo L; Liu J; Chen J; Wang G
    BMC Cancer; 2022 Jul; 22(1):745. PubMed ID: 35799142
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Complement C1q (C1qA, C1qB, and C1qC) May Be a Potential Prognostic Factor and an Index of Tumor Microenvironment Remodeling in Osteosarcoma.
    Chen LH; Liu JF; Lu Y; He XY; Zhang C; Zhou HH
    Front Oncol; 2021; 11():642144. PubMed ID: 34079754
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification and verification of eight cancer-associated fibroblasts related genes as a prognostic signature for head and neck squamous cell carcinoma.
    Dong L; Sun Q; Song F; Song X; Lu C; Li Y; Song X
    Heliyon; 2023 Mar; 9(3):e14003. PubMed ID: 36938461
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of prognostic biomarkers associated with tumor microenvironment in ceRNA network for esophageal squamous cell carcinoma: a bioinformatics study based on TCGA database.
    Song D; Wei Y; Hu Y; Chen X; Zheng Y; Liu M; Wang Y; Zhou Y
    Discov Oncol; 2021 Nov; 12(1):46. PubMed ID: 35201503
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A novel immunogenomic signature to predict prognosis and reveal immune infiltration characteristics in pancreatic ductal adenocarcinoma.
    Li A; Ye B; Lin F; Wang Y; Miao X; Jiang Y
    Precis Clin Med; 2022 Jun; 5(2):pbac010. PubMed ID: 35694712
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 81.