BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

170 related articles for article (PubMed ID: 38584220)

  • 1. An original aneuploidy-related gene model for predicting lung adenocarcinoma survival and guiding therapy.
    Zhang Y; Li D
    Sci Rep; 2024 Apr; 14(1):8135. PubMed ID: 38584220
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of aneuploidy-related gene signature to predict survival in head and neck squamous cell carcinomas.
    Liu Y; Yuan Y; Chen T; Xiao H; Zhang X; Zhang F
    Aging (Albany NY); 2023 Nov; 15(22):13100-13117. PubMed ID: 37988195
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Molecular subtypes of lung adenocarcinoma patients for prognosis and therapeutic response prediction with machine learning on 13 programmed cell death patterns.
    Wei Q; Jiang X; Miao X; Zhang Y; Chen F; Zhang P
    J Cancer Res Clin Oncol; 2023 Oct; 149(13):11351-11368. PubMed ID: 37378675
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of novel gene signature for lung adenocarcinoma by machine learning to predict immunotherapy and prognosis.
    Shu J; Jiang J; Zhao G
    Front Immunol; 2023; 14():1177847. PubMed ID: 37583701
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Construction and validation of a prognostic model for lung adenocarcinoma based on endoplasmic reticulum stress-related genes.
    Li F; Niu Y; Zhao W; Yan C; Qi Y
    Sci Rep; 2022 Nov; 12(1):19857. PubMed ID: 36400857
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of immune activation-related gene signature for predicting prognosis and immunotherapy efficacy in lung adenocarcinoma.
    Zeng W; Wang J; Yang J; Chen Z; Cui Y; Li Q; Luo G; Ding H; Ju S; Li B; Chen J; Xie Y; Tong X; Liu M; Zhao J
    Front Immunol; 2023; 14():1217590. PubMed ID: 37492563
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comprehensive analysis of a novel signature incorporating lipid metabolism and immune-related genes for assessing prognosis and immune landscape in lung adenocarcinoma.
    Wang Y; Xu J; Fang Y; Gu J; Zhao F; Tang Y; Xu R; Zhang B; Wu J; Fang Z; Li Y
    Front Immunol; 2022; 13():950001. PubMed ID: 36091041
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prognosis and immunotherapy significances of a cancer-associated fibroblasts-related gene signature in lung adenocarcinoma.
    Luo Y; Zhang S; Xie H; Su Q; He S; Lei Z
    Cell Mol Biol (Noisy-le-grand); 2023 Dec; 69(14):51-61. PubMed ID: 38279482
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Leveraging diverse cell-death patterns to predict the clinical outcome of immune checkpoint therapy in lung adenocarcinoma: Based on muti-omics analysis and vitro assay.
    Liang H; Li Y; Qu Y; Zhang L
    Oncol Res; 2023; 32(2):393-407. PubMed ID: 38186574
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Hypoxia-related gene signature for predicting LUAD patients' prognosis and immune microenvironment.
    Chen J; Fu Y; Hu J; He J
    Cytokine; 2022 Apr; 152():155820. PubMed ID: 35176657
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of a three-gene expression signature and construction of a prognostic nomogram predicting overall survival in lung adenocarcinoma based on TCGA and GEO databases.
    Zhou Y; Gao S; Yang R; Du C; Wang Y; Wu Y
    Transl Lung Cancer Res; 2022 Jul; 11(7):1479-1496. PubMed ID: 35958325
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Six CT83-related Genes-based Prognostic Signature for Lung Adenocarcinoma.
    Wang Y; Zhang G; Wang R
    Comb Chem High Throughput Screen; 2022; 25(9):1565-1575. PubMed ID: 34259140
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identifying a 6-Gene Prognostic Signature for Lung Adenocarcinoma Based on Copy Number Variation and Gene Expression Data.
    Huang Y; Qiu L; Liang X; Zhao J; Chen H; Luo Z; Li W; Lin X; Jin J; Huang J; Zhang G
    Oxid Med Cell Longev; 2022; 2022():6962163. PubMed ID: 36211815
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development and validation of polyamines metabolism-associated gene signatures to predict prognosis and immunotherapy response in lung adenocarcinoma.
    Wang N; Chai M; Zhu L; Liu J; Yu C; Huang X
    Front Immunol; 2023; 14():1070953. PubMed ID: 37334367
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Characteristic of molecular subtypes in lung adenocarcinoma based on m6A RNA methylation modification and immune microenvironment.
    Zhou H; Zheng M; Shi M; Wang J; Huang Z; Zhang H; Zhou Y; Shi J
    BMC Cancer; 2021 Aug; 21(1):938. PubMed ID: 34416861
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Combination of tumor mutation burden and immune infiltrates for the prognosis of lung adenocarcinoma.
    Zhao Z; He B; Cai Q; Zhang P; Peng X; Zhang Y; Xie H; Wang X
    Int Immunopharmacol; 2021 Sep; 98():107807. PubMed ID: 34175739
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Exploration of the prognostic signature reflecting tumor microenvironment of lung adenocarcinoma based on immunologically relevant genes.
    Wu W; Jia L; Zhang Y; Zhao J; Dong Y; Qiang Y
    Bioengineered; 2021 Dec; 12(1):7417-7431. PubMed ID: 34612148
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. A methylation-based nomogram for predicting survival in patients with lung adenocarcinoma.
    Wang X; Zhou B; Xia Y; Zuo J; Liu Y; Bi X; Luo X; Zhang C
    BMC Cancer; 2021 Jul; 21(1):801. PubMed ID: 34247575
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development of a copper metabolism-related gene signature in lung adenocarcinoma.
    Chang W; Li H; Zhong L; Zhu T; Chang Z; Ou W; Wang S
    Front Immunol; 2022; 13():1040668. PubMed ID: 36524120
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.