Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

288 related articles for article (PubMed ID: 35395711)

  • 1. Bioinformatics analysis reveals immune prognostic markers for overall survival of colorectal cancer patients: a novel machine learning survival predictive system.
    Zhang Z; Huang L; Li J; Wang P
    BMC Bioinformatics; 2022 Apr; 23(1):124. PubMed ID: 35395711
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Potential Prognostic Immune Biomarkers of Overall Survival in Ovarian Cancer Through Comprehensive Bioinformatics Analysis: A Novel Artificial Intelligence Survival Prediction System.
    He T; Huang L; Li J; Wang P; Zhang Z
    Front Med (Lausanne); 2021; 8():587496. PubMed ID: 34109184
    [No Abstract]   [Full Text] [Related]  

  • 3. Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms.
    Zhang Z; Li J; He T; Ding J
    Front Oncol; 2020; 10():330. PubMed ID: 32296631
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Construction of a Colorectal Cancer Prognostic Risk Model and Screening of Prognostic Risk Genes Using Machine-Learning Algorithms.
    Du X; Qi H; Ji W; Li P; Hua R; Hu W; Qi F
    Comput Math Methods Med; 2022; 2022():9408839. PubMed ID: 36267311
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of prognostic immune-related gene signature associated with tumor microenvironment of colorectal cancer.
    Wang Y; Li W; Jin X; Jiang X; Guo S; Xu F; Su X; Wang G; Zhao Z; Gu X
    BMC Cancer; 2021 Aug; 21(1):905. PubMed ID: 34364366
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A signature based on 11 autophagy genes for prognosis prediction of colorectal cancer.
    Chen S; Wang Y; Wang B; Zhang L; Su Y; Xu M; Zhang M
    PLoS One; 2021; 16(10):e0258741. PubMed ID: 34699544
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A five-immune-related genes-based prognostic signature for colorectal cancer.
    Zhu L; Wang H; Wang Z
    Int Immunopharmacol; 2020 Nov; 88():106866. PubMed ID: 32781411
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of BGN positive fibroblasts as a driving factor for colorectal cancer and development of its related prognostic model combined with machine learning.
    Hu S; Xiao Q; Gao R; Qin J; Nie J; Chen Y; Lou J; Ding M; Pan Y; Wang S
    BMC Cancer; 2024 Apr; 24(1):516. PubMed ID: 38654221
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Long non-coding RNA profile study identifies a metabolism-related signature for colorectal cancer.
    Lu Y; Wang W; Liu Z; Ma J; Zhou X; Fu W
    Mol Med; 2021 Aug; 27(1):83. PubMed ID: 34344319
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of potential biomarkers with colorectal cancer based on bioinformatics analysis and machine learning.
    Hammad A; Elshaer M; Tang X
    Math Biosci Eng; 2021 Oct; 18(6):8997-9015. PubMed ID: 34814332
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Development of an Immune Infiltration-Related Eight-Gene Prognostic Signature in Colorectal Cancer Microenvironment.
    Wu B; Tao L; Yang D; Li W; Xu H; He Q
    Biomed Res Int; 2020; 2020():2719739. PubMed ID: 32908876
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting Colorectal Cancer Survival Using Time-to-Event Machine Learning: Retrospective Cohort Study.
    Yang X; Qiu H; Wang L; Wang X
    J Med Internet Res; 2023 Oct; 25():e44417. PubMed ID: 37883174
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integration of machine learning for developing a prognostic signature related to programmed cell death in colorectal cancer.
    Xu QT; Qiang JK; Huang ZY; Jiang WJ; Cui XM; Hu RH; Wang T; Yi XL; Li JY; Yu Z; Zhang S; Du T; Liu J; Jiang XH
    Environ Toxicol; 2024 May; 39(5):2908-2926. PubMed ID: 38299230
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Two precision medicine predictive tools for six malignant solid tumors: from gene-based research to clinical application.
    Zhang Z; He T; Huang L; Ouyang Y; Li J; Huang Y; Wang P; Ding J
    J Transl Med; 2019 Dec; 17(1):405. PubMed ID: 31796117
    [TBL] [Abstract][Full Text] [Related]  

  • 15. CX3CR1 Acts as a Protective Biomarker in the Tumor Microenvironment of Colorectal Cancer.
    Yue Y; Zhang Q; Sun Z
    Front Immunol; 2021; 12():758040. PubMed ID: 35140706
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A novel Anoikis and immune-related genes marked prognostic signature for colorectal cancer.
    Cai Z; Zhou F
    Medicine (Baltimore); 2022 Nov; 101(46):e31127. PubMed ID: 36401385
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification and validation of an immune prognostic signature in colorectal cancer.
    Li M; Wang H; Li W; Peng Y; Xu F; Shang J; Dong S; Bu L; Wang H; Wei W; Hu Q; Liu L; Zhao Q
    Int Immunopharmacol; 2020 Nov; 88():106868. PubMed ID: 32771948
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A novel prognostic risk score model based on immune-related genes in patients with stage IV colorectal cancer.
    Xu K; He J; Zhang J; Liu T; Yang F; Ren T
    Biosci Rep; 2020 Oct; 40(10):. PubMed ID: 33034614
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of biomarkers associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis.
    Chen L; Lu D; Sun K; Xu Y; Hu P; Li X; Xu F
    Gene; 2019 Apr; 692():119-125. PubMed ID: 30654001
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Value of prediction models for prognosis prediction of colorectal cancer: an analysis based on TCPA database].
    Wen H; Shi W; Ge S; Li J; Zuo L; Liu M
    Nan Fang Yi Ke Da Xue Xue Bao; 2021 Mar; 41(3):439-446. PubMed ID: 33849837
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.