BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

191 related articles for article (PubMed ID: 37400733)

  • 1. Glycolysis induces Th2 cell infiltration and significantly affects prognosis and immunotherapy response to lung adenocarcinoma.
    Zeng L; Liang L; Fang X; Xiang S; Dai C; Zheng T; Li T; Feng Z
    Funct Integr Genomics; 2023 Jul; 23(3):221. PubMed ID: 37400733
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. Pan-Cancer Analysis of Immune Cell Infiltration Identifies a Prognostic Immune-Cell Characteristic Score (ICCS) in Lung Adenocarcinoma.
    Zuo S; Wei M; Wang S; Dong J; Wei J
    Front Immunol; 2020; 11():1218. PubMed ID: 32714316
    [No Abstract]   [Full Text] [Related]  

  • 6. NPM1 Is a Prognostic Biomarker Involved in Immune Infiltration of Lung Adenocarcinoma and Associated With m6A Modification and Glycolysis.
    Liu XS; Zhou LM; Yuan LL; Gao Y; Kui XY; Liu XY; Pei ZJ
    Front Immunol; 2021; 12():724741. PubMed ID: 34335635
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An ICD-Associated DAMP Gene signature predicts survival and immunotherapy response of patients with lung adenocarcinoma.
    Wu Y; Li K; Liang S; Lou X; Li Y; Xu D; Wu Y; Wang Y; Cui W
    Respir Res; 2023 May; 24(1):142. PubMed ID: 37259066
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The Comprehensive Analysis Identified an Autophagy Signature for the Prognosis and the Immunotherapy Efficiency Prediction in Lung Adenocarcinoma.
    Li X; Dai Z; Wu X; Zhang N; Zhang H; Wang Z; Zhang X; Liang X; Luo P; Zhang J; Liu Z; Zhou Y; Cheng Q; Chang R
    Front Immunol; 2022; 13():749241. PubMed ID: 35529878
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Construction and validation of a T cell proliferation regulator-related signature for predicting prognosis and immunotherapy response in lung adenocarcinoma.
    Chang W; Li H; Cheng Y; He H; Ou W; Wang SY
    Front Immunol; 2023; 14():1171145. PubMed ID: 37081889
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Vasculogenic mimicry-associated novel gene signature predicted prognosis and response to immunotherapy in lung adenocarcinoma.
    Zhang L; Wu J; Yin WW; Hu J; Liao L; Ma J; Xu Z; Wu S
    Pathol Res Pract; 2024 Jan; 253():155048. PubMed ID: 38147724
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development and validation of polyamines metabolism-associated gene signatures to predict prognosis and immunotherapy response in lung adenocarcinoma.
    Wang N; Chai M; Zhu L; Liu J; Yu C; Huang X
    Front Immunol; 2023; 14():1070953. PubMed ID: 37334367
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. Identification of a TGF-β signaling-related gene signature for prediction of immunotherapy and targeted therapy for lung adenocarcinoma.
    Yu Q; Zhao L; Yan XX; Li Y; Chen XY; Hu XH; Bu Q; Lv XP
    World J Surg Oncol; 2022 Jun; 20(1):183. PubMed ID: 35668494
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Construction and Validation of a Tumor Microenvironment-Based Scoring System to Evaluate Prognosis and Response to Immune Checkpoint Inhibitor Therapy in Lung Adenocarcinoma Patients.
    Huang P; Xu L; Jin M; Li L; Ke Y; Zhang M; Zhang K; Lu K; Huang G
    Genes (Basel); 2022 May; 13(6):. PubMed ID: 35741714
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An aging-related signature predicts favorable outcome and immunogenicity in lung adenocarcinoma.
    Zhang W; Li Y; Lyu J; Shi F; Kong Y; Sheng C; Wang S; Wang Q
    Cancer Sci; 2022 Mar; 113(3):891-903. PubMed ID: 34967077
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Integrating bulk-RNA sequencing and single-cell sequencing analyses to characterize adenosine-enriched tumor microenvironment landscape and develop an adenosine-related prognostic signature predicting immunotherapy in lung adenocarcinoma.
    Han T; Wu J; Liu Y; Zhou J; Miao R; Guo J; Xu Z; Xing Y; Bai Y; Hu D
    Funct Integr Genomics; 2024 Jan; 24(1):19. PubMed ID: 38265702
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The integrated single-cell analysis developed an immunogenic cell death signature to predict lung adenocarcinoma prognosis and immunotherapy.
    Zhang P; Zhang H; Tang J; Ren Q; Zhang J; Chi H; Xiong J; Gong X; Wang W; Lin H; Li J; Huang C
    Aging (Albany NY); 2023 Oct; 15(19):10305-10329. PubMed ID: 37796202
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.