BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

137 related articles for article (PubMed ID: 38454689)

  • 1. Aggrephagy-related gene signature correlates with survival and tumor-associated macrophages in glioma: Insights from single-cell and bulk RNA sequencing.
    Zhang X; Tan J; Zhang X; Pandey K; Zhong Y; Wu G; He K
    Math Biosci Eng; 2024 Jan; 21(2):2407-2431. PubMed ID: 38454689
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multicellular gene network analysis identifies a macrophage-related gene signature predictive of therapeutic response and prognosis of gliomas.
    Sun X; Liu X; Xia M; Shao Y; Zhang XD
    J Transl Med; 2019 May; 17(1):159. PubMed ID: 31097021
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Prognostic DNA Damage Repair Genes Signature and Its Impact on Immune Cell Infiltration in Glioma.
    Wang G; Zhou H; Tian L; Yan T; Han X; Chen P; Li H; Wang W; Xiao Z; Hou L; Xue X
    Front Oncol; 2021; 11():682932. PubMed ID: 34123852
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Ferroptosis-related gene signature correlates with the tumor immune features and predicts the prognosis of glioma patients.
    Hu Y; Tu Z; Lei K; Huang K; Zhu X
    Biosci Rep; 2021 Dec; 41(12):. PubMed ID: 34726238
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Pyroptosis-Related Gene Signature Predicts Prognosis and Indicates Immune Microenvironment Infiltration in Glioma.
    Zhang Y; Zhang C; Yang Y; Wang G; Wang Z; Liu J; Zhang L; Yu Y
    Front Cell Dev Biol; 2022; 10():862493. PubMed ID: 35547808
    [No Abstract]   [Full Text] [Related]  

  • 6. MCM10 as a novel prognostic biomarker and its relevance to immune infiltration in gliomas.
    Tian QS; Zhang Q; Huang W
    Technol Health Care; 2023; 31(4):1301-1317. PubMed ID: 36872806
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Single-cell dissection reveals the role of aggrephagy patterns in tumor microenvironment components aiding predicting prognosis and immunotherapy on lung adenocarcinoma.
    Sun X; Meng F; Nong M; Fang H; Lu C; Wang Y; Zhang P
    Aging (Albany NY); 2023 Dec; 15(23):14333-14371. PubMed ID: 38095634
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prognostic Model and Nomogram Construction and Validation With an Autophagy-Related Gene Signature in Low-Grade Gliomas.
    Li X; Huang Z; Zhu L; Yu F; Feng M; Gu A; Jiang J; Wang G; Huang D
    Front Genet; 2022; 13():905751. PubMed ID: 35923699
    [No Abstract]   [Full Text] [Related]  

  • 9. Optimization of cancer immunotherapy through pyroptosis: A pyroptosis-related signature predicts survival benefit and potential synergy for immunotherapy in glioma.
    Zeng Y; Cai Y; Chai P; Mao Y; Chen Y; Wang L; Zeng K; Zhan Z; Xie Y; Li C; Zhan H; Zhao L; Chen X; Zhu X; Liu Y; Chen M; Song Y; Zhou A
    Front Immunol; 2022; 13():961933. PubMed ID: 35990696
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Pyroptosis: a novel signature to predict prognosis and immunotherapy response in gliomas.
    He G; Chen Z; Zhuo S; Tang J; Hao W; Yang K; Yang C
    Hum Cell; 2022 Nov; 35(6):1976-1992. PubMed ID: 36129672
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Classification related to immunogenic cell death predicts prognosis, immune microenvironment characteristics, and response to immunotherapy in lower-grade gliomas.
    Kuang Y; Jiang B; Zhu H; Zhou Y; Huang H; Li C; Zhang W; Li X; Cao Y
    Front Immunol; 2023; 14():1102094. PubMed ID: 37153540
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of a Fibroblast-Related Prognostic Model in Glioma Based on Bioinformatics Methods.
    Zhang H; Huang Y; Yang E; Gao X; Zou P; Sun J; Tian Z; Bao M; Liao D; Ge J; Yang Q; Li X; Zhang Z; Luo P; Jiang X
    Biomolecules; 2022 Oct; 12(11):. PubMed ID: 36358948
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The molecular feature of macrophages in tumor immune microenvironment of glioma patients.
    Zhang H; Luo YB; Wu W; Zhang L; Wang Z; Dai Z; Feng S; Cao H; Cheng Q; Liu Z
    Comput Struct Biotechnol J; 2021; 19():4603-4618. PubMed ID: 34471502
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Cancer-associated fibroblast-associated gene IGFBP2 promotes glioma progression through induction of M2 macrophage polarization.
    Zhang X; Sun X; Guo C; Li J; Liang G
    Am J Physiol Cell Physiol; 2024 Jan; 326(1):C252-C268. PubMed ID: 37982173
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Systematic identification, development, and validation of prognostic biomarkers involving the tumor-immune microenvironment for glioblastoma.
    Zhao B; Wang Y; Wang Y; Chen W; Liu PH; Kong Z; Dai C; Wang Y; Ma W
    J Cell Physiol; 2021 Jan; 236(1):507-522. PubMed ID: 32572951
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MELK is a prognostic biomarker and correlated with immune infiltration in glioma.
    Yang H; Zhou H; Wang G; Tian L; Li H; Zhang Y; Xue X
    Front Neurol; 2022; 13():977180. PubMed ID: 36353126
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A novel pyroptosis-related gene signature predicts the prognosis of glioma through immune infiltration.
    Zhang M; Cheng Y; Xue Z; Sun Q; Zhang J
    BMC Cancer; 2021 Dec; 21(1):1311. PubMed ID: 34876094
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An Autophagy-Related Gene Signature Associated With Clinical Prognosis and Immune Microenvironment in Gliomas.
    Xu Y; Li R; Li X; Dong N; Wu D; Hou L; Yin K; Zhao C
    Front Oncol; 2020; 10():571189. PubMed ID: 33194668
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification and validation of a risk signature based on extracellular matrix-related genes in gliomas.
    Liu J; Li G
    Medicine (Baltimore); 2021 Apr; 100(16):e25603. PubMed ID: 33879726
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Immune Infiltration-Related Signature Predicts Risk Stratification and Immunotherapy Efficacy in Grade II and III Gliomas.
    Luo C; Liu Z; Ye W; Liu F
    Front Cell Dev Biol; 2021; 9():756005. PubMed ID: 34805164
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 7.