BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

125 related articles for article (PubMed ID: 38538287)

  • 1. An Integrated Machine Learning Framework Identifies Prognostic Gene Pair Biomarkers Associated with Programmed Cell Death Modalities in Clear Cell Renal Cell Carcinoma.
    Chen B; Zhou M; Guo L; Huang H; Sun X; Peng Z; Wu D; Chen W
    Front Biosci (Landmark Ed); 2024 Mar; 29(3):121. PubMed ID: 38538287
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multi-omics identification of an immunogenic cell death-related signature for clear cell renal cell carcinoma in the context of 3P medicineĀ and based on a 101-combination machine learning computational framework.
    Liu J; Shi Y; Zhang Y
    EPMA J; 2023 Jun; 14(2):275-305. PubMed ID: 37275552
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Transcriptome mapping of renal clear cell carcinoma revealed by machine learning algorithm based on enhanced computed tomography images.
    Yang Y; Huang H; Liang H
    J Gene Med; 2023 Jul; 25(7):e3494. PubMed ID: 36869574
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Computed tomography-based radiomics prediction of CTLA4 expression and prognosis in clear cell renal cell carcinoma.
    He H; Jin Z; Dai J; Wang H; Sun J; Xu D
    Cancer Med; 2023 Mar; 12(6):7627-7638. PubMed ID: 36397666
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Machine learning-based integration develops a stress response stated T cell (Tstr)-related score for predicting outcomes in clear cell renal cell carcinoma.
    Yang S; Han Z; Tan Z; Wu Z; Ye J; Cai S; Feng Y; He H; Wen B; Zhu X; Ye Y; Huang H; Wang S; Zhong W; Deng Y
    Int Immunopharmacol; 2024 May; 132():112017. PubMed ID: 38599101
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A radiogenomics biomarker based on immunological heterogeneity for non-invasive prognosis of renal clear cell carcinoma.
    Gao J; Ye F; Han F; Jiang H; Zhang J
    Front Immunol; 2022; 13():956679. PubMed ID: 36177018
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification and Validation of Cuproptosis-Related LncRNA Signatures in the Prognosis and Immunotherapy of Clear Cell Renal Cell Carcinoma Using Machine Learning.
    Bai Z; Lu J; Chen A; Zheng X; Wu M; Tan Z; Xie J
    Biomolecules; 2022 Dec; 12(12):. PubMed ID: 36551318
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Integrative radiogenomics analysis for predicting molecular features and survival in clear cell renal cell carcinoma.
    Zeng H; Chen L; Wang M; Luo Y; Huang Y; Ma X
    Aging (Albany NY); 2021 Mar; 13(7):9960-9975. PubMed ID: 33795526
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Functional enrichment analysis of LYSET and identification of related hub gene signatures as novel biomarkers to predict prognosis and immune infiltration status of clear cell renal cell carcinoma.
    Chen Y; He J; Jin T; Zhang Y; Ou Y
    J Cancer Res Clin Oncol; 2023 Dec; 149(18):16905-16929. PubMed ID: 37740762
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Integration analysis identifies MYBL1 as a novel immunotherapy biomarker affecting the immune microenvironment in clear cell renal cell carcinoma: Evidence based on machine learning and experiments.
    Wang T; Jian W; Xue W; Meng Y; Xia Z; Li Q; Xu S; Dong Y; Mao A; Zhang C
    Front Immunol; 2022; 13():1080403. PubMed ID: 36591240
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A New Signature That Predicts Progression-Free Survival of Clear Cell Renal Cell Carcinoma with Anti-PD-1 Therapy.
    Lin J; Cai Y; Ma Y; Pan J; Wang Z; Zhang J; Liu Y; Zhao Z
    Int J Mol Sci; 2023 Mar; 24(6):. PubMed ID: 36982415
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Computational construction of TME-related lncRNAs signature for predicting prognosis and immunotherapy response in clear cell renal cell carcinoma.
    Zhou L; Fang H; Guo F; Yin M; Long H; Weng G
    J Clin Lab Anal; 2022 Aug; 36(8):e24582. PubMed ID: 35808868
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification and validation of novel prognostic markers in Renal Cell Carcinoma.
    Rabjerg M
    Dan Med J; 2017 Oct; 64(10):. PubMed ID: 28975890
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Leveraging diverse cell-death patterns to predict the prognosis, immunotherapy and drug sensitivity of clear cell renal cell carcinoma.
    Zhang X; Zhang M; Song L; Wang S; Wei X; Shao W; Song N
    Sci Rep; 2023 Nov; 13(1):20266. PubMed ID: 37985807
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of Prognostic Biomarkers for Clear Cell Renal Cell Carcinoma (ccRCC) by Transcriptomics.
    Zhang S; Xu X; Wang Y; Zhu Y; Wang J; Wang H; Guo J
    Ann Clin Lab Sci; 2021 Sep; 51(5):597-608. PubMed ID: 34686501
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Differentiation of Clear Cell and Non-clear-cell Renal Cell Carcinoma through CT-based Radiomics Models and Nomogram.
    Cheng D; Abudikeranmu Y; Tuerdi B
    Curr Med Imaging; 2023; 19(9):1005-1017. PubMed ID: 36411581
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Renal enhanced CT images reveal the tandem mechanism between tumor cells and immunocytes based on bulk/single-cell RNA sequencing.
    Liang H; Wu K; Wu R; Huang K; Deng Z; Chen H
    Funct Integr Genomics; 2023 Mar; 23(2):88. PubMed ID: 36933049
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deciphering the implications of mitophagy-related signatures in clinical outcomes and microenvironment heterogeneity of clear cell renal cell carcinoma.
    Xiang J; Liu W; Liu S; Wang T; Tang H; Yang J
    J Cancer Res Clin Oncol; 2023 Nov; 149(17):16015-16030. PubMed ID: 37689589
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Molecular subtypes of lung adenocarcinoma patients for prognosis and therapeutic response prediction with machine learning on 13 programmed cell death patterns.
    Wei Q; Jiang X; Miao X; Zhang Y; Chen F; Zhang P
    J Cancer Res Clin Oncol; 2023 Oct; 149(13):11351-11368. PubMed ID: 37378675
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.