BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

206 related articles for article (PubMed ID: 38013642)

  • 21. Multi-Omics Signatures Identification for LUAD Prognosis Prediction Model Based on the Integrative Analysis of Immune and Hypoxia Signals.
    Lou Y; Shi Q; Zhang Y; Qi Y; Zhang W; Wang H; Lu J; Han B; Zhong H
    Front Cell Dev Biol; 2022; 10():840466. PubMed ID: 35359451
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Identification of Immune-Related Gene Signatures in Lung Adenocarcinoma and Lung Squamous Cell Carcinoma.
    Li N; Wang J; Zhan X
    Front Immunol; 2021; 12():752643. PubMed ID: 34887858
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Integration of multi-omics data for survival prediction of lung adenocarcinoma.
    Guo D; Wang Y; Chen J; Liu X
    Comput Methods Programs Biomed; 2024 Jun; 250():108192. PubMed ID: 38701699
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. KIAA1429 promotes the progression of lung adenocarcinoma by regulating the m6A level of MUC3A.
    Zhao W; Xie Y
    Pathol Res Pract; 2021 Jan; 217():153284. PubMed ID: 33249400
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A promising prognostic signature for lung adenocarcinoma (LUAD) patients basing on 6 hypoxia-related genes.
    Luo J; Du X
    Medicine (Baltimore); 2021 Dec; 100(50):e28237. PubMed ID: 34918689
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Characterization of genomic instability-related genes predicts survival and therapeutic response in lung adenocarcinoma.
    Li S; Wang W; Yu H; Zhang S; Bi W; Sun S; Hong B; Fang Z; Chen X
    BMC Cancer; 2023 Nov; 23(1):1115. PubMed ID: 37974107
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Identification of Prognostic DNA Methylation Signatures in Lung Adenocarcinoma.
    Wang P; Xu G; Gao E; Xu Y; Liang L; Jiang G; Duan L
    Oxid Med Cell Longev; 2022; 2022():8802303. PubMed ID: 35814273
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Characteristic of molecular subtypes in lung adenocarcinoma based on m6A RNA methylation modification and immune microenvironment.
    Zhou H; Zheng M; Shi M; Wang J; Huang Z; Zhang H; Zhou Y; Shi J
    BMC Cancer; 2021 Aug; 21(1):938. PubMed ID: 34416861
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. Identification of age- and immune-related gene signatures for clinical outcome prediction in lung adenocarcinoma.
    Zhou A; Zhang D; Kang X; Brooks JD
    Cancer Med; 2023 Aug; 12(16):17475-17490. PubMed ID: 37434467
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. Identification of disulfidptosis-related subgroups and prognostic signatures in lung adenocarcinoma using machine learning and experimental validation.
    Wang Y; Xu Y; Liu C; Yuan C; Zhang Y
    Front Immunol; 2023; 14():1233260. PubMed ID: 37799714
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Development and Validation of a DNA Methylation-related Classifier of Circulating Tumour Cells to Predict Prognosis and to provide a therapeutic strategy in Lung Adenocarcinoma.
    Gu X; Huang X; Zhang X; Wang C
    Int J Biol Sci; 2022; 18(13):4984-5000. PubMed ID: 35982906
    [No Abstract]   [Full Text] [Related]  

  • 35. 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]  

  • 36. A TP53 Related Immune Prognostic Model for the Prediction of Clinical Outcomes and Therapeutic Responses in Lung Adenocarcinoma.
    Zhang X; Min S; Yang Y; Ding D; Li Q; Liu S; Tao T; Zhang M; Li B; Zhao S; Ge R; Yang F; Li Y; He X; Ma X; Wang L; Wu T; Wang T; Wang G
    Front Immunol; 2022; 13():876355. PubMed ID: 35837383
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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]  

  • 38. Prognostic characteristics of T-cell mediated cell killing-related genes in lung adenocarcinoma.
    Bi L; Ai C; Zhang H; Chen Z; Deng Y; Xiong J; Lv Z
    Autoimmunity; 2023 Dec; 56(1):2250097. PubMed ID: 37624966
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Development of a copper metabolism-related gene signature in lung adenocarcinoma.
    Chang W; Li H; Zhong L; Zhu T; Chang Z; Ou W; Wang S
    Front Immunol; 2022; 13():1040668. PubMed ID: 36524120
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Prognostic Value and Genome Signature of m6A/m5C Regulated Genes in Early-Stage Lung Adenocarcinoma.
    Tian L; Wang Y; Tian J; Song W; Li L; Che G
    Int J Mol Sci; 2023 Mar; 24(7):. PubMed ID: 37047493
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.