BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

198 related articles for article (PubMed ID: 36275729)

  • 1. Identifying a lactic acid metabolism-related gene signature contributes to predicting prognosis, immunotherapy efficacy, and tumor microenvironment of lung adenocarcinoma.
    Zhao F; Wang Z; Li Z; Liu S; Li S
    Front Immunol; 2022; 13():980508. PubMed ID: 36275729
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Molecular Characterization and Prognosis of Lactate-Related Genes in Lung Adenocarcinoma.
    Guo Z; Hu L; Wang Q; Wang Y; Liu XP; Chen C; Li S; Hu W
    Curr Oncol; 2023 Feb; 30(3):2845-2861. PubMed ID: 36975430
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Gefitinib metabolism-related lncRNAs for the prediction of prognosis, tumor microenvironment and drug sensitivity in lung adenocarcinoma.
    Guo Z; Zhang X; Yang D; Hu Z; Wu J; Zhou W; Wu S; Zhang W
    Sci Rep; 2024 May; 14(1):10348. PubMed ID: 38710798
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Lactate regulators contribute to tumor microenvironment and predict prognosis in lung adenocarcinoma.
    Shang S; Wang MZ; Xing Z; He N; Li S
    Front Immunol; 2022; 13():1024925. PubMed ID: 36505423
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Clinical Significance and Immunologic Landscape of a Five-IL(R)-Based Signature in Lung Adenocarcinoma.
    Fan T; Pan S; Yang S; Hao B; Zhang L; Li D; Geng Q
    Front Immunol; 2021; 12():693062. PubMed ID: 34497605
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Lipid metabolism-related gene prognostic index (LMRGPI) reveals distinct prognosis and treatment patterns for patients with early-stage pulmonary adenocarcinoma.
    Jiang A; Chen X; Zheng H; Liu N; Ding Q; Li Y; Fan C; Fu X; Liang X; Tian T; Ruan Z; Yao Y
    Int J Med Sci; 2022; 19(4):711-728. PubMed ID: 35582412
    [No Abstract]   [Full Text] [Related]  

  • 9. Subtype classification based on t cell proliferation-related regulator genes and risk model for predicting outcomes of lung adenocarcinoma.
    Yang Q; Zhu W; Gong H
    Front Immunol; 2023; 14():1148483. PubMed ID: 37077919
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comprehensive analysis of co-expressed genes with TDP-43: prognostic and therapeutic potential in lung adenocarcinoma.
    Zhang H; Lin J; Yahaya BH
    J Cancer Res Clin Oncol; 2024 Jan; 150(2):44. PubMed ID: 38281298
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Construction and validation of a T cell proliferation regulator-related signature for predicting prognosis and immunotherapy response in lung adenocarcinoma.
    Chang W; Li H; Cheng Y; He H; Ou W; Wang SY
    Front Immunol; 2023; 14():1171145. PubMed ID: 37081889
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Characterization of genomic instability-related genes predicts survival and therapeutic response in lung adenocarcinoma.
    Li S; Wang W; Yu H; Zhang S; Bi W; Sun S; Hong B; Fang Z; Chen X
    BMC Cancer; 2023 Nov; 23(1):1115. PubMed ID: 37974107
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Construction and Validation of a Tumor Microenvironment-Based Scoring System to Evaluate Prognosis and Response to Immune Checkpoint Inhibitor Therapy in Lung Adenocarcinoma Patients.
    Huang P; Xu L; Jin M; Li L; Ke Y; Zhang M; Zhang K; Lu K; Huang G
    Genes (Basel); 2022 May; 13(6):. PubMed ID: 35741714
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A novel risk model of three gefitinib-related genes FBP1, SBK1 and AURKA is related to the immune microenvironment and is predicting prognosis of lung adenocarcinoma patients.
    Guo Q; Li K; Jiang N; Zhou R; Rao XR; Wu CY
    Aging (Albany NY); 2023 Sep; 15(18):9633-9660. PubMed ID: 37737707
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Signatures of Multi-Omics Reveal Distinct Tumor Immune Microenvironment Contributing to Immunotherapy in Lung Adenocarcinoma.
    Huang Z; Li B; Guo Y; Wu L; Kou F; Yang L
    Front Immunol; 2021; 12():723172. PubMed ID: 34539658
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of Cancer Stem Cell-related Gene by Single-cell and Machine Learning Predicts Immune Status, Chemotherapy Drug, and Prognosis in Lung Adenocarcinoma.
    Yang C; Zhang J; Xie J; Li L; Zhao X; Liu J; Wang X
    Curr Stem Cell Res Ther; 2024; 19(5):767-780. PubMed ID: 37455453
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comprehensive molecular analysis of a four-pyroptosis-gene signature with prognosis and immune landscape in lung adenocarcinoma.
    Pan S; Chen L; Song C; Fan T; Hao B; Zhang L; Li D; Geng Q
    Genomics; 2022 May; 114(3):110355. PubMed ID: 35364268
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Characteristics of Fatty Acid Metabolism in Lung Adenocarcinoma to Guide Clinical Treatment.
    Huang D; Tang E; Zhang T; Xu G
    Front Immunol; 2022; 13():916284. PubMed ID: 35860256
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development and validation of a novel lipid metabolism-related gene prognostic signature and candidate drugs for patients with bladder cancer.
    Zhu K; Xiaoqiang L; Deng W; Wang G; Fu B
    Lipids Health Dis; 2021 Oct; 20(1):146. PubMed ID: 34706720
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of fatty acid-related subtypes, the establishment of a prognostic signature, and immune infiltration characteristics in lung adenocarcinoma.
    Wang Y; Huang X; Fan H; Xu Y; Qi Z; Zhang Y; Huang Y
    Aging (Albany NY); 2023 May; 15(10):4202-4235. PubMed ID: 37199651
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.