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 *

135 related articles for article (PubMed ID: 37556076)

  • 41. Advancing lung adenocarcinoma prognosis and immunotherapy prediction with a multi-omics consensus machine learning approach.
    Lin H; Zhang X; Feng Y; Gong Z; Li J; Wang W; Fan J
    J Cell Mol Med; 2024 Jul; 28(13):e18520. PubMed ID: 38958523
    [TBL] [Abstract][Full Text] [Related]  

  • 42. NGEF is a potential prognostic biomarker and could serve as an indicator for immunotherapy and chemotherapy in lung adenocarcinoma.
    Chen X; Zhang T; He YQ; Miao TW; Yin J; Ding Q; Yang M; Chen FY; Zeng HP; Liu J; Zhu Q
    BMC Pulm Med; 2024 May; 24(1):248. PubMed ID: 38764064
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Identification immunophenotyping of lung adenocarcinomas based on the tumor microenvironment.
    Tan Q; Huang Y; Deng K; Lu M; Wang L; Rong Z; Zhao W; Li S; Xu Z; Fan L; Li K; Li Z
    J Cell Biochem; 2020 Nov; 121(11):4569-4579. PubMed ID: 32030808
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Genomic and immunogenomic analysis of three prognostic signature genes in LUAD.
    Feng HM; Zhao Y; Yan WJ; Li B
    BMC Bioinformatics; 2023 Jan; 24(1):19. PubMed ID: 36650426
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Prognostic and immunotherapeutic implications of bilirubin metabolism-associated genes in lung adenocarcinoma.
    Ren K; Ling X; Chen L; Li Z; Huang T
    J Cell Mol Med; 2024 May; 28(9):e18346. PubMed ID: 38693853
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Immune profile of the tumor microenvironment and the identification of a four-gene signature for lung adenocarcinoma.
    Fan T; Zhu M; Wang L; Liu Y; Tian H; Zheng Y; Tan F; Sun N; Li C; He J
    Aging (Albany NY); 2020 Dec; 13(2):2397-2417. PubMed ID: 33318300
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Identification of a combined hypoxia and lactate metabolism prognostic signature in lung adenocarcinoma.
    Sun J; Jiang R; Hou L; Wang L; Li M; Dong H; Dong N; Lin Y; Zhu Z; Zhang G; Zhang Y
    BMC Pulm Med; 2024 Jul; 24(1):323. PubMed ID: 38965505
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Increased expression of TTC21A in lung adenocarcinoma infers favorable prognosis and high immune infiltrating level.
    Wang W; Ren S; Wang Z; Zhang C; Huang J
    Int Immunopharmacol; 2020 Jan; 78():106077. PubMed ID: 31812070
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Prediction of prognosis and immunotherapy efficacy based on metabolic landscape in lung adenocarcinoma by bulk, single-cell RNA sequencing and Mendelian randomization analyses.
    Liu Y; Zhang X; Pang Z; Wang Y; Zheng H; Wang G; Wang K; Du J
    Aging (Albany NY); 2024 May; 16(10):8772-8809. PubMed ID: 38771130
    [TBL] [Abstract][Full Text] [Related]  

  • 50. A large cohort study identifying a novel prognosis prediction model for lung adenocarcinoma through machine learning strategies.
    Li Y; Ge D; Gu J; Xu F; Zhu Q; Lu C
    BMC Cancer; 2019 Sep; 19(1):886. PubMed ID: 31488089
    [TBL] [Abstract][Full Text] [Related]  

  • 51. SFTPA1 is a potential prognostic biomarker correlated with immune cell infiltration and response to immunotherapy in lung adenocarcinoma.
    Yuan L; Wu X; Zhang L; Yang M; Wang X; Huang W; Pan H; Wu Y; Huang J; Liang W; Li J; Zhu X; Wang S; Guan J; Liu L
    Cancer Immunol Immunother; 2022 Feb; 71(2):399-415. PubMed ID: 34181042
    [TBL] [Abstract][Full Text] [Related]  

  • 52. 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]  

  • 53. 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]  

  • 54. Integrated analysis of single-cell and bulk RNA-sequencing identifies a signature based on B cell marker genes to predict prognosis and immunotherapy response in lung adenocarcinoma.
    Song P; Li W; Wu X; Qian Z; Ying J; Gao S; He J
    Cancer Immunol Immunother; 2022 Oct; 71(10):2341-2354. PubMed ID: 35152302
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Leveraging diverse cell-death patterns to predict the clinical outcome of immune checkpoint therapy in lung adenocarcinoma: Based on muti-omics analysis and vitro assay.
    Liang H; Li Y; Qu Y; Zhang L
    Oncol Res; 2023; 32(2):393-407. PubMed ID: 38186574
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Multiomics Analysis of Disulfidptosis Patterns and Integrated Machine Learning to Predict Immunotherapy Response in Lung Adenocarcinoma.
    Liu J; Li H; Zhang N; Dong Q; Liang Z
    Curr Med Chem; 2024; 31(25):4034-4055. PubMed ID: 38685772
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Lipid metabolism-related gene prognostic index (LMRGPI) reveals distinct prognosis and treatment patterns for patients with early-stage pulmonary adenocarcinoma.
    Jiang A; Chen X; Zheng H; Liu N; Ding Q; Li Y; Fan C; Fu X; Liang X; Tian T; Ruan Z; Yao Y
    Int J Med Sci; 2022; 19(4):711-728. PubMed ID: 35582412
    [No Abstract]   [Full Text] [Related]  

  • 58. Exploring the immune landscape and drug prediction of an M2 tumor-associated macrophage-related gene signature in EGFR-negative lung adenocarcinoma.
    Huang Y; Zhang Y; Duan X; Hou R; Wang Q; Shi J
    Thorac Cancer; 2024 Jul; 15(21):1626-1637. PubMed ID: 38886907
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Junctional Adhesion Molecule-Like Protein (JAML) Is Correlated with Prognosis and Immune Infiltrates in Lung Adenocarcinoma.
    Fang L; Yu W; Yu G; Zhong F; Ye B
    Med Sci Monit; 2022 Jan; 28():e933503. PubMed ID: 35034089
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Insights into the heterogeneity of the tumor microenvironment in lung adenocarcinoma and squamous carcinoma through single-cell transcriptomic analysis: Implications for distinct immunotherapy outcomes.
    Fang X; Li D; Wan S; Hu J; Zhang P; Jie D; Chen L; Jiang G; Song N
    J Gene Med; 2024 Jun; 26(6):e3694. PubMed ID: 38847309
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.