These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

118 related articles for article (PubMed ID: 38813617)

  • 1. Gene signatures of endoplasmic reticulum stress and mitophagy for prognostic risk prediction in lung adenocarcinoma.
    Lin X; Yang M; Huang Y; Huang X; Shi H; Chen B; Kang J; Ke S
    IET Syst Biol; 2024 Jun; 18(3):103-117. PubMed ID: 38813617
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Building endoplasmic reticulum stress-related LncRNAs signatures of lung adenocarcinoma.
    Chen K; Dai P; Gu L
    J Gene Med; 2024 Aug; 26(8):e3731. PubMed ID: 39146558
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Characterization of an endoplasmic reticulum stress-associated lncRNA prognostic signature and the tumor-suppressive role of RP11-295G20.2 knockdown in lung adenocarcinoma.
    Yu L; Zhou S; Hong W; Lin N; Wang Q; Liang P
    Sci Rep; 2024 May; 14(1):12283. PubMed ID: 38811828
    [TBL] [Abstract][Full Text] [Related]  

  • 5. High Expression of
    Deng H; Huang Y; Wang L; Chen M
    Biomed Res Int; 2020; 2020():2071593. PubMed ID: 33134373
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A large cohort study identifying a novel prognosis prediction model for lung adenocarcinoma through machine learning strategies.
    Li Y; Ge D; Gu J; Xu F; Zhu Q; Lu C
    BMC Cancer; 2019 Sep; 19(1):886. PubMed ID: 31488089
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Construction of an endoplasmic reticulum stress-related signature in lung adenocarcinoma by comprehensive bioinformatics analysis.
    Wang Y; Nie J; Dai L; Hu W; Han S; Zhang J; Chen X; Ma X; Tian G; Wu D; Zhang Z; Long J; Fang J
    BMC Pulm Med; 2023 May; 23(1):172. PubMed ID: 37189138
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Systematic construction and validation of an immune prognostic model for lung adenocarcinoma.
    Luo C; Lei M; Zhang Y; Zhang Q; Li L; Lian J; Liu S; Wang L; Pi G; Zhang Y
    J Cell Mol Med; 2020 Jan; 24(2):1233-1244. PubMed ID: 31779055
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comprehensive analysis of TPX2-related ceRNA network as prognostic biomarkers in lung adenocarcinoma.
    Huo C; Zhang MY; Li R; Zhou XJ; Liu TT; Li JP; Liu X; Qu YQ
    Int J Med Sci; 2020; 17(16):2427-2439. PubMed ID: 33029085
    [No Abstract]   [Full Text] [Related]  

  • 10. A Prognostic 14-Gene Expression Signature for Lung Adenocarcinoma: A Study Based on TCGA Data Mining.
    Liu J; Hou S; Wang J; Chai Z; Hong X; Zhao T; Sun Z; Bai L; Gao H; Gao J; Chen G
    Oxid Med Cell Longev; 2020; 2020():8847226. PubMed ID: 33414898
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification Six Metabolic Genes as Potential Biomarkers for Lung Adenocarcinoma.
    Zhang S; Lu Y; Liu Z; Li X; Wang Z; Cai Z
    J Comput Biol; 2020 Oct; 27(10):1532-1543. PubMed ID: 32298601
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deciphering the prognostic role of endoplasmic reticulum stress in lung adenocarcinoma: integrating prognostic prediction and immunotherapy strategies.
    Wen B; Zhang P; Xie J; Zhou Z; Zhang G; Zhang L; Zhang Z
    Clin Exp Med; 2024 Jul; 24(1):169. PubMed ID: 39052154
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development and validation of a robust immune-related prognostic signature in early-stage lung adenocarcinoma.
    Wu P; Zheng Y; Wang Y; Wang Y; Liang N
    J Transl Med; 2020 Oct; 18(1):380. PubMed ID: 33028329
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Integrated multi-omic analysis and experiment reveals the role of endoplasmic reticulum stress in lung adenocarcinoma.
    Liu Y; Lin W; Qian H; Yang Y; Zhou X; Wu C; Pan X; Liu Y; Wang G
    BMC Med Genomics; 2024 Jan; 17(1):12. PubMed ID: 38167084
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A ten-gene signature-based risk assessment model predicts the prognosis of lung adenocarcinoma.
    Jiang H; Xu S; Chen C
    BMC Cancer; 2020 Aug; 20(1):782. PubMed ID: 32819300
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of potential diagnostic and prognostic biomarkers for LUAD based on TCGA and GEO databases.
    Zheng Q; Min S; Zhou Q
    Biosci Rep; 2021 Jun; 41(6):. PubMed ID: 34017995
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prognostic value of SEC61G in lung adenocarcinoma: a comprehensive study based on bioinformatics and in vitro validation.
    Zheng Q; Wang Z; Zhang M; Yu Y; Chen R; Lu T; Liu L; Ma J; Liu T; Zheng H; Li H; Li J
    BMC Cancer; 2021 Nov; 21(1):1216. PubMed ID: 34774014
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development of m6A/m5C/m1A regulated lncRNA signature for prognostic prediction, personalized immune intervention and drug selection in LUAD.
    Ma C; Gu Z; Yang Y
    J Cell Mol Med; 2024 Apr; 28(8):e18282. PubMed ID: 38647237
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Construction of the optimization prognostic model based on differentially expressed immune genes of lung adenocarcinoma.
    Zhai Y; Zhao B; Wang Y; Li L; Li J; Li X; Chang L; Chen Q; Liao Z
    BMC Cancer; 2021 Mar; 21(1):213. PubMed ID: 33648465
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The role of radiotherapy-related autophagy genes in the prognosis and immune infiltration in lung adenocarcinoma.
    Gao J; Lu F; Yan J; Wang R; Xia Y; Wang L; Li L; Chang L; Li W
    Front Immunol; 2022; 13():992626. PubMed ID: 36311724
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.