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 *

167 related articles for article (PubMed ID: 38885819)

  • 1. Integrated analysis of ferroptosis and stemness based on single-cell and bulk RNA-sequencing data provide insights into the prognosis and treatment of esophageal carcinoma.
    Sui X; Wang W; Zhang D; Xu J; Li J; Jia Y; Qin Y
    Gene; 2024 Nov; 927():148701. PubMed ID: 38885819
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An individualized stemness-related signature to predict prognosis and immunotherapy responses for gastric cancer using single-cell and bulk tissue transcriptomes.
    Zheng L; Chen J; Ye W; Fan Q; Chen H; Yan H
    Cancer Med; 2024 Jan; 13(1):e6908. PubMed ID: 38168907
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Integrative stemness characteristics associated with prognosis and the immune microenvironment in esophageal cancer.
    Yi L; Huang P; Zou X; Guo L; Gu Y; Wen C; Wu G
    Pharmacol Res; 2020 Nov; 161():105144. PubMed ID: 32810627
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification and validation of an individualized prognostic signature of lung squamous cell carcinoma based on ferroptosis-related genes.
    Diao X; Guo C; Liu L; Wang G; Li S
    Thorac Cancer; 2021 Dec; 12(23):3236-3247. PubMed ID: 34672420
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Integration of single-cell RNA-seq and bulk RNA-seq to construct liver hepatocellular carcinoma stem cell signatures to explore their impact on patient prognosis and treatment.
    Liu L; Zhang M; Cui N; Liu W; Di G; Wang Y; Xi X; Li H; Shen Z; Gu M; Wang Z; Jiang S; Liu B
    PLoS One; 2024; 19(4):e0298004. PubMed ID: 38635528
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of overall survival based upon a new ferroptosis-related gene signature in patients with clear cell renal cell carcinoma.
    Sun Z; Li T; Xiao C; Zou S; Zhang M; Zhang Q; Wang Z; Zhan H; Wang H
    World J Surg Oncol; 2022 Apr; 20(1):120. PubMed ID: 35422048
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comprehensive characterization of stemness-related lncRNAs in triple-negative breast cancer identified a novel prognostic signature related to treatment outcomes, immune landscape analysis and therapeutic guidance: a silico analysis with in vivo experiments.
    Zhang M; Zhang F; Wang J; Liang Q; Zhou W; Liu J
    J Transl Med; 2024 May; 22(1):423. PubMed ID: 38704606
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Cripto-1 acts as a functional marker of cancer stem-like cells and predicts prognosis of the patients in esophageal squamous cell carcinoma.
    Liu Q; Cui X; Yu X; Bian BS; Qian F; Hu XG; Ji CD; Yang L; Ren Y; Cui W; Zhang X; Zhang P; Wang JM; Cui YH; Bian XW
    Mol Cancer; 2017 Apr; 16(1):81. PubMed ID: 28431580
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification and validation of necroptosis-related prognostic gene signature and tumor immune microenvironment infiltration characterization in esophageal carcinoma.
    Sun K; Hong JJ; Chen DM; Luo ZX; Li JZ
    BMC Gastroenterol; 2022 Jul; 22(1):344. PubMed ID: 35840882
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Novel Three-miRNA Signature Identified Using Bioinformatics Predicts Survival in Esophageal Carcinoma.
    Wu K; Zhang C; Zhang C; Dai D
    Biomed Res Int; 2020; 2020():5973082. PubMed ID: 32104700
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification and validation of a novel cuproptosis-related stemness signature to predict prognosis and immune landscape in lung adenocarcinoma by integrating single-cell and bulk RNA-sequencing.
    Yang J; Liu K; Yang L; Ji J; Qin J; Deng H; Wang Z
    Front Immunol; 2023; 14():1174762. PubMed ID: 37287976
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development of a model to predict the prognosis of esophageal carcinoma based on autophagy-related genes.
    Niu L; Yang W; Duan L; Wang X; Li Y; Zhou W; Chen J; Xu C; Zhang Y; Liu J; Hong L; Fan D
    Future Oncol; 2022 Feb; 18(6):701-717. PubMed ID: 35048740
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multi-omics analysis unveils the predictive value of IGF2BP3/SPHK1 signaling in cancer stem cells for prognosis and immunotherapeutic response in muscle-invasive bladder cancer.
    Wang Y; Song W; Feng C; Wu S; Qin Z; Liu T; Ye Y; Huang R; Xie Y; Tang Z; Wang Q; Li T
    J Transl Med; 2024 Oct; 22(1):900. PubMed ID: 39367493
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Ferroptosis-related gene signature predicts the prognosis in Oral squamous cell carcinoma patients.
    Li H; Zhang X; Yi C; He Y; Chen X; Zhao W; Yu D
    BMC Cancer; 2021 Jul; 21(1):835. PubMed ID: 34284753
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Integration of single-cell sequencing and bulk RNA-seq to identify and develop a prognostic signature related to colorectal cancer stem cells.
    Wu J; Li W; Su J; Zheng J; Liang Y; Lin J; Xu B; Liu Y
    Sci Rep; 2024 May; 14(1):12270. PubMed ID: 38806611
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predictive value of a stemness-based classifier for prognosis and immunotherapy response of hepatocellular carcinoma based on bioinformatics and machine-learning strategies.
    Chen E; Zou Z; Wang R; Liu J; Peng Z; Gan Z; Lin Z; Liu J
    Front Immunol; 2024; 15():1244392. PubMed ID: 38694506
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Metabolic subtypes and immune landscapes in esophageal squamous cell carcinoma: prognostic implications and potential for personalized therapies.
    Yu XW; She PW; Chen FC; Chen YY; Zhou S; Wang XM; Lin XR; Liu QL; Huang ZJ; Qiu Y
    BMC Cancer; 2024 Feb; 24(1):230. PubMed ID: 38373930
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Integrated Analysis of Hub Genes and Pathways In Esophageal Carcinoma Based on NCBI's Gene Expression Omnibus (GEO) Database: A Bioinformatics Analysis.
    Yu-Jing T; Wen-Jing T; Biao T
    Med Sci Monit; 2020 Aug; 26():e923934. PubMed ID: 32756534
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deciphering the Prognostic Implications of the Components and Signatures in the Immune Microenvironment of Pancreatic Ductal Adenocarcinoma.
    Tang R; Liu X; Liang C; Hua J; Xu J; Wang W; Meng Q; Liu J; Zhang B; Yu X; Shi S
    Front Immunol; 2021; 12():648917. PubMed ID: 33777046
    [No Abstract]   [Full Text] [Related]  

  • 20. Development of a prognostic model for NSCLC based on differential genes in tumour stem cells.
    Ma Y; Li J; Xiong C; Sun X; Shen T
    Sci Rep; 2024 Sep; 14(1):20938. PubMed ID: 39251710
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.