BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

265 related articles for article (PubMed ID: 37189138)

  • 21. Identification of a necroptosis-related gene signature for making clinical predictions of the survival of patients with lung adenocarcinoma.
    Zhou X; Zhao M; Fan Y; Xu Y
    PeerJ; 2024; 12():e16616. PubMed ID: 38213773
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Guidelines on lung adenocarcinoma prognosis based on immuno-glycolysis-related genes.
    Zhang Y; Qin W; Zhang W; Qin Y; Zhou YL
    Clin Transl Oncol; 2023 Apr; 25(4):959-975. PubMed ID: 36447119
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Identification of CDT1 as a prognostic marker in human lung adenocarcinoma using bioinformatics approaches.
    Jiang J; Zhang Y; Wang J; Yang X; Ren X; Huang H; Wang J; Lu J; Zhong Y; Lin Z; Lin X; Jia Y; Lin S
    PeerJ; 2023; 11():e16166. PubMed ID: 37790630
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. Identification of endoplasmic reticulum stress-related lncRNAs in lung adenocarcinoma by bioinformatics and experimental validation.
    Xin T; Sun Y; Meng H; Zhang N; Peng B; Yang X; Hu J; Cao M
    Ann Med; 2023; 55(2):2251500. PubMed ID: 37643369
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Establishment of a prognostic signature for lung adenocarcinoma by integration of 7 pyroptosis-related genes and cross-validation between the TCGA and GEO cohorts: A comprehensive bioinformatics analysis.
    Zhang W; Wan S; Qu Z; Ge J; Zhang C; Li C; Jiang Y
    Medicine (Baltimore); 2022 Jul; 101(29):e29710. PubMed ID: 35866781
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. High Expression of DLGAP5 Indicates Poor Prognosis and Immunotherapy in Lung Adenocarcinoma and Promotes Proliferation through Regulation of the Cell Cycle.
    Tang X; Zhou H; Liu Y
    Dis Markers; 2023; 2023():9292536. PubMed ID: 36712920
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Construction and analysis of a novel ferroptosis-related gene signature predicting prognosis in lung adenocarcinoma.
    Zhou J; Wang X; Li Z; Jiang R
    FEBS Open Bio; 2021 Nov; 11(11):3005-3018. PubMed ID: 34499810
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. Identification and validation of a novel prognostic model of inflammation-related gene signature of lung adenocarcinoma.
    Luo D; Feng W; Ma Y; Jiang Z
    Sci Rep; 2022 Aug; 12(1):14729. PubMed ID: 36042374
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. Construction of an immune-related lncRNA signature pair for predicting oncologic outcomes and the sensitivity of immunosuppressor in treatment of lung adenocarcinoma.
    Zhuang J; Chen Z; Chen Z; Chen J; Liu M; Xu X; Liu Y; Yang S; Hu Z; He F
    Respir Res; 2022 May; 23(1):123. PubMed ID: 35562727
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. 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]  

  • 36. A novel ferroptosis-related genes model for prognosis prediction of lung adenocarcinoma.
    Li F; Ge D; Sun SL
    BMC Pulm Med; 2021 Jul; 21(1):229. PubMed ID: 34256754
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Cuproptosis-related lncRNA predict prognosis and immune response of lung adenocarcinoma.
    Wang F; Lin H; Su Q; Li C
    World J Surg Oncol; 2022 Sep; 20(1):275. PubMed ID: 36050740
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. 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]  

  • 40. Comprehensive analysis of a chemokine- and chemokine receptor family-based signature for patients with lung adenocarcinoma.
    Fan T; Liu Y; Liu H; Wang L; Tian H; Zheng Y; Zheng B; Xue L; Tan F; Xue Q; Gao S; Li C; He J
    Cancer Immunol Immunother; 2021 Dec; 70(12):3651-3667. PubMed ID: 33977344
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 14.