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 *

425 related articles for article (PubMed ID: 34235071)

  • 1. A 13-Gene Metabolic Prognostic Signature Is Associated With Clinical and Immune Features in Stomach Adenocarcinoma.
    Ye Z; Zheng M; Zeng Y; Wei S; Huang H; Wang Y; Liu Q; Lin Z; Chen S; Zheng Q; Chen L
    Front Oncol; 2021; 11():612952. PubMed ID: 34235071
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification and prognostic value of metabolism-related genes in gastric cancer.
    Wen F; Huang J; Lu X; Huang W; Wang Y; Bai Y; Ruan S; Gu S; Chen X; Shu P
    Aging (Albany NY); 2020 Sep; 12(17):17647-17661. PubMed ID: 32920549
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Construction of mRNA prognosis signature associated with differentially expressed genes in early stage of stomach adenocarcinomas based on TCGA and GEO datasets.
    Jiang F; Lin H; Yan H; Sun X; Yang J; Dong M
    Eur J Med Res; 2022 Oct; 27(1):205. PubMed ID: 36253873
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Classification of stomach adenocarcinoma based on fatty acid metabolism-related genes frofiling.
    Liu C; Tao Y; Lin H; Lou X; Wu S; Chen L
    Front Mol Biosci; 2022; 9():962435. PubMed ID: 36090054
    [No Abstract]   [Full Text] [Related]  

  • 5. A novel endoplasmic reticulum stress-related lncRNA signature for prognosis prediction and immune response evaluation in Stomach adenocarcinoma.
    Song Z; Su M; Li X; Xie J; Han F; Yao J
    BMC Gastroenterol; 2023 Dec; 23(1):432. PubMed ID: 38066437
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Angiogenesis-related lncRNAs predict the prognosis signature of stomach adenocarcinoma.
    Han C; Zhang C; Wang H; Li K; Zhao L
    BMC Cancer; 2021 Dec; 21(1):1312. PubMed ID: 34876056
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Constructing a novel gene signature derived from oxidative stress specific subtypes for predicting survival in stomach adenocarcinoma.
    Zhou R; Peng N; Li W
    Front Immunol; 2022; 13():964919. PubMed ID: 36059494
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Development of a prognostic metabolic signature in stomach adenocarcinoma.
    Gong Y; Wu S; Dong S; Chen S; Cai G; Bao K; Yang H; Jiao Y
    Clin Transl Oncol; 2022 Aug; 24(8):1615-1630. PubMed ID: 35355155
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A 9‑gene expression signature to predict stage development in resectable stomach adenocarcinoma.
    Liu Z; Liu H; Wang Y; Li Z
    BMC Gastroenterol; 2022 Oct; 22(1):435. PubMed ID: 36241983
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of a metabolic-related gene signature predicting the overall survival for patients with stomach adenocarcinoma.
    Nie Y; Liu L; Liu Q; Zhu X
    PeerJ; 2021; 9():e10908. PubMed ID: 33614297
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Construction and Validation of a Novel Pyroptosis-Related Four-lncRNA Prognostic Signature Related to Gastric Cancer and Immune Infiltration.
    Wang Z; Cao L; Zhou S; Lyu J; Gao Y; Yang R
    Front Immunol; 2022; 13():854785. PubMed ID: 35392086
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prognostic value of RNA methylation-related genes in gastric adenocarcinoma based on bioinformatics.
    He X; Chen X; Yang C; Wang W; Sun H; Wang J; Fu J; Dong H
    PeerJ; 2024; 12():e16951. PubMed ID: 38436027
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Prognostic Signature Constructed by
    Han S; Zhu W; Yang W; Guan Q; Chen C; He Q; Zhong Z; Zhao R; Xiong H; Han H; Li Y; Sun Z; Hu X; Tian J
    Front Genet; 2021; 12():646818. PubMed ID: 34512711
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Glutamine metabolism genes prognostic signature for stomach adenocarcinoma and immune infiltration: potential biomarkers for predicting overall survival.
    Li H; Wu Z; Zhang Y; Lu X; Miao L
    Front Oncol; 2023; 13():1201297. PubMed ID: 37377916
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comprehensive Characterization of Transforming Growth Factor Beta Receptor 1 in Stomach Adenocarcinoma Identifies a Prognostic Signature for Predicting Clinical Outcomes and Immune Infiltrates.
    He Y; Zhang H; Zhang Y; Wang P; Zhu K; Ba Y
    Int J Gen Med; 2022; 15():3375-3391. PubMed ID: 35368798
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prognostic Role of M6A-Associated Immune Genes and Cluster-Related Tumor Microenvironment Analysis: A Multi-Omics Practice in Stomach Adenocarcinoma.
    Luo N; Fu M; Zhang Y; Li X; Zhu W; Yang F; Chen Z; Mei Q; Peng X; Shen L; Zhang Y; Li Q; Hu G
    Front Cell Dev Biol; 2022; 10():935135. PubMed ID: 35859893
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Constructing and validating of m6a-related genes prognostic signature for stomach adenocarcinoma and immune infiltration: Potential biomarkers for predicting the overall survival.
    Yang J; Wu Z; Wu X; Chen S; Xia X; Zeng J
    Front Oncol; 2022; 12():1050288. PubMed ID: 36620557
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Single-cell data revealed CD14-type and FCGR3A-type macrophages and relevant prognostic factors for predicting immunotherapy and prognosis in stomach adenocarcinoma.
    Li M; Lu M; Li J; Gui Q; Xia Y; Lu C; Shu H
    PeerJ; 2024; 12():e16776. PubMed ID: 38274323
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development of a novel copper metabolism-related risk model to predict prognosis and tumor microenvironment of patients with stomach adenocarcinoma.
    Sun D; Zhang H; Zhang C
    Front Pharmacol; 2023; 14():1185418. PubMed ID: 37284310
    [No Abstract]   [Full Text] [Related]  

  • 20. Construction of a prognostic risk model for Stomach adenocarcinoma based on endoplasmic reticulum stress genes.
    Li X; Lei Y
    Wien Klin Wochenschr; 2024 Jun; 136(11-12):319-330. PubMed ID: 37993598
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 22.