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 *

267 related articles for article (PubMed ID: 32684932)

  • 1. Identification of a 5-Gene Metabolic Signature for Predicting Prognosis Based on an Integrated Analysis of Tumor Microenvironment in Lung Adenocarcinoma.
    Yu X; Zhang X; Zhang Y
    J Oncol; 2020; 2020():5310793. PubMed ID: 32684932
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Identification of a six-gene metabolic signature predicting overall survival for patients with lung adenocarcinoma.
    Cao Y; Lu X; Li Y; Fu J; Li H; Li X; Chang Z; Liu S
    PeerJ; 2020; 8():e10320. PubMed ID: 33344071
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification and Validation of a Novel Immune-Related Four-lncRNA Signature for Lung Adenocarcinoma.
    Wang J; Yin X; Zhang YQ; Ji X
    Front Genet; 2021; 12():639254. PubMed ID: 33708243
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Integration of multiple key molecules in lung adenocarcinoma identifies prognostic and immunotherapeutic relevant gene signatures.
    Wu Q; Wang L; Wei H; Li B; Yang J; Wang Z; Xu J; Zhou YL; Zhang B
    Int Immunopharmacol; 2020 Jun; 83():106477. PubMed ID: 32278127
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of a novel autophagy signature for predicting survival in patients with lung adenocarcinoma.
    Duan J; Lei Y; Lv G; Liu Y; Zhao W; Yang Q; Su X; Song Z; Lu L; Shi Y
    PeerJ; 2021; 9():e11074. PubMed ID: 33976960
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Profiles of immune infiltration in lung adenocarcinoma and their clinical significant: A gene-expression-based retrospective study.
    Chen G; Dong Z; Wu D; Chen Y
    J Cell Biochem; 2020 Nov; 121(11):4431-4439. PubMed ID: 32003059
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Establishment of the Prognostic Index Reflecting Tumor Immune Microenvironment of Lung Adenocarcinoma Based on Metabolism-Related Genes.
    Zhang J; Zhang J; Yuan C; Luo Y; Li Y; Dai P; Sun W; Zhang N; Ren J; Zhang J; Gong Y; Xie C
    J Cancer; 2020; 11(24):7101-7115. PubMed ID: 33193873
    [No Abstract]   [Full Text] [Related]  

  • 9. 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]  

  • 10. Pan-Cancer Analysis of Immune Cell Infiltration Identifies a Prognostic Immune-Cell Characteristic Score (ICCS) in Lung Adenocarcinoma.
    Zuo S; Wei M; Wang S; Dong J; Wei J
    Front Immunol; 2020; 11():1218. PubMed ID: 32714316
    [No Abstract]   [Full Text] [Related]  

  • 11. Development and Validation of a Ferroptosis-Related Gene Signature for Overall Survival Prediction in Lung Adenocarcinoma.
    Tian Q; Zhou Y; Zhu L; Gao H; Yang J
    Front Cell Dev Biol; 2021; 9():684259. PubMed ID: 34307361
    [No Abstract]   [Full Text] [Related]  

  • 12. Immune-Stromal Score Signature: Novel Prognostic Tool of the Tumor Microenvironment in Lung Adenocarcinoma.
    Qi X; Qi C; Qin B; Kang X; Hu Y; Han W
    Front Oncol; 2020; 10():541330. PubMed ID: 33072571
    [No Abstract]   [Full Text] [Related]  

  • 13. Development and validation of endoplasmic reticulum stress-related eight-gene signature for predicting the overall survival of lung adenocarcinoma.
    Lin L; Zhang W
    Transl Cancer Res; 2022 Jul; 11(7):1909-1924. PubMed ID: 35966313
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Clinical Significance and Immunometabolism Landscapes of a Novel Recurrence-Associated Lipid Metabolism Signature In Early-Stage Lung Adenocarcinoma: A Comprehensive Analysis.
    Zhu M; Zeng Q; Fan T; Lei Y; Wang F; Zheng S; Wang X; Zeng H; Tan F; Sun N; Xue Q; He J
    Front Immunol; 2022; 13():783495. PubMed ID: 35222371
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A comprehensive characterization of alternative splicing events related to prognosis and the tumor microenvironment in lung adenocarcinoma.
    Ma S; Zhu J; Wang M; Han T; Zhu J; Jiang R; Jiang T
    Ann Transl Med; 2022 Apr; 10(8):479. PubMed ID: 35571443
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Establishment and validation of a prognostic signature for lung adenocarcinoma based on metabolism-related genes.
    Wang Z; Embaye KS; Yang Q; Qin L; Zhang C; Liu L; Zhan X; Zhang F; Wang X; Qin S
    Cancer Cell Int; 2021 Apr; 21(1):219. PubMed ID: 33858449
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development and validation of an immune-related prognostic signature in lung adenocarcinoma.
    Sun S; Guo W; Wang Z; Wang X; Zhang G; Zhang H; Li R; Gao Y; Qiu B; Tan F; Gao Y; Xue Q; Gao S; He J
    Cancer Med; 2020 Aug; 9(16):5960-5975. PubMed ID: 32592319
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prognostic significance of pyroptosis-related factors in lung adenocarcinoma.
    Lin X; Zhou T; Hu S; Yang L; Yang Z; Pang H; Zhou X; Zhong R; Fang X; Yu Z; Hu K
    J Thorac Dis; 2022 Mar; 14(3):654-667. PubMed ID: 35399245
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of immune-related gene signature predicting survival in the tumor microenvironment of lung adenocarcinoma.
    Zhao M; Li M; Chen Z; Bian Y; Zheng Y; Hu Z; Liang J; Huang Y; Yin J; Zhan C; Feng M; Wang Q
    Immunogenetics; 2020 Dec; 72(9-10):455-465. PubMed ID: 33188484
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of Clinical and Tumor Microenvironment Characteristics of Hypoxia-Related Risk Signature in Lung Adenocarcinoma.
    Dai Z; Liu T; Liu G; Deng Z; Yu P; Wang B; Cen B; Guo L; Zhang J
    Front Mol Biosci; 2021; 8():757421. PubMed ID: 34869590
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 14.