BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

181 related articles for article (PubMed ID: 38622716)

  • 41. Identification and validation of hypoxia-derived gene signatures to predict clinical outcomes and therapeutic responses in stage I lung adenocarcinoma patients.
    Shi R; Bao X; Unger K; Sun J; Lu S; Manapov F; Wang X; Belka C; Li M
    Theranostics; 2021; 11(10):5061-5076. PubMed ID: 33754044
    [No Abstract]   [Full Text] [Related]  

  • 42. Development and Validation of a Machine Learning Prognostic Model of m5C Related immune Genes in Lung Adenocarcinoma.
    Cao X; Ji Y; Li J; Liu Z; Chen C
    Cancer Control; 2024; 31():10732748241237414. PubMed ID: 38537151
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Computational identification and experimental verification of a novel signature based on SARS-CoV-2-related genes for predicting prognosis, immune microenvironment and therapeutic strategies in lung adenocarcinoma patients.
    Wang Y; Xu Y; Deng Y; Yang L; Wang D; Yang Z; Zhang Y
    Front Immunol; 2024; 15():1366928. PubMed ID: 38601163
    [TBL] [Abstract][Full Text] [Related]  

  • 44. A novel signature predicts prognosis and immunotherapy in lung adenocarcinoma based on cancer-associated fibroblasts.
    Ren Q; Zhang P; Lin H; Feng Y; Chi H; Zhang X; Xia Z; Cai H; Yu Y
    Front Immunol; 2023; 14():1201573. PubMed ID: 37325647
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Prognostic model of lung adenocarcinoma constructed by the CENPA complex genes is closely related to immune infiltration.
    Zhou H; Bian T; Qian L; Zhao C; Zhang W; Zheng M; Zhou H; Liu L; Sun H; Li X; Zhang J; Liu Y
    Pathol Res Pract; 2021 Dec; 228():153680. PubMed ID: 34798483
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Association of specific gene mutations derived from machine learning with survival in lung adenocarcinoma.
    Cho HJ; Lee S; Ji YG; Lee DH
    PLoS One; 2018; 13(11):e0207204. PubMed ID: 30419062
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Purine metabolism in lung adenocarcinoma: A single-cell analysis revealing prognostic and immunotherapeutic insights.
    Zhang P; Pei S; Zhou G; Zhang M; Zhang L; Zhang Z
    J Cell Mol Med; 2024 Apr; 28(8):e18284. PubMed ID: 38597415
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Mast cell-based molecular subtypes and signature associated with clinical outcome in early-stage lung adenocarcinoma.
    Bao X; Shi R; Zhao T; Wang Y
    Mol Oncol; 2020 May; 14(5):917-932. PubMed ID: 32175651
    [TBL] [Abstract][Full Text] [Related]  

  • 49. The mitotic cell cycle-associated nomogram predicts overall survival in lung adenocarcinoma.
    He X; Zhou H; Huang Q; Li Y
    Cancer Med; 2023 Dec; 12(23):21519-21530. PubMed ID: 37930238
    [TBL] [Abstract][Full Text] [Related]  

  • 50. A novel anoikis-related prognostic signature associated with prognosis and immune infiltration landscape in lung adenocarcinoma.
    Liu Y; Hu S; Teng M; Qing Y; Dong X; Chen L; Ai K
    J Gene Med; 2024 Feb; 26(1):e3610. PubMed ID: 37985130
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Transcriptomic landscape based on annotated clinical features reveals PLPP2 involvement in lipid raft-mediated proliferation signature of early-stage lung adenocarcinoma.
    Wang Y; Miao Z; Qin X; Yang Y; Wu S; Miao Q; Li B; Zhang M; Wu P; Han Y; Li B
    J Exp Clin Cancer Res; 2023 Nov; 42(1):315. PubMed ID: 37996944
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Identification of novel gene signature for lung adenocarcinoma by machine learning to predict immunotherapy and prognosis.
    Shu J; Jiang J; Zhao G
    Front Immunol; 2023; 14():1177847. PubMed ID: 37583701
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Development of somatic mutation signatures for risk stratification and prognosis in lung and colorectal adenocarcinomas.
    Menor M; Zhu Y; Wang Y; Zhang J; Jiang B; Deng Y
    BMC Med Genomics; 2019 Jan; 12(Suppl 1):24. PubMed ID: 30704450
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Machine learning reveals two heterogeneous subtypes to assist immune therapy based on lipid metabolism in lung adenocarcinoma.
    Gu X; Wei S; Li Z; Xu H
    Front Immunol; 2022; 13():1022149. PubMed ID: 36238302
    [TBL] [Abstract][Full Text] [Related]  

  • 55. 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]  

  • 56. Comprehensive analysis of the immunogenic cell death-related signature for predicting prognosis and immunotherapy efficiency in patients with lung adenocarcinoma.
    Cui Y; Li Y; Long S; Xu Y; Liu X; Sun Z; Sun Y; Hu J; Li X
    BMC Med Genomics; 2023 Aug; 16(1):184. PubMed ID: 37553698
    [TBL] [Abstract][Full Text] [Related]  

  • 57. 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]  

  • 58. 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]  

  • 59. Mast cell marker gene signature: prognosis and immunotherapy response prediction in lung adenocarcinoma through integrated scRNA-seq and bulk RNA-seq.
    Zhang P; Liu J; Pei S; Wu D; Xie J; Liu J; Li J
    Front Immunol; 2023; 14():1189520. PubMed ID: 37256127
    [TBL] [Abstract][Full Text] [Related]  

  • 60. 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]  

    [Previous]   [Next]    [New Search]
    of 10.