BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

160 related articles for article (PubMed ID: 37994489)

  • 1. Machine learning-derived identification of prognostic signature for improving prognosis and drug response in patients with ovarian cancer.
    Huan Q; Cheng S; Ma HF; Zhao M; Chen Y; Yuan X
    J Cell Mol Med; 2024 Jan; 28(1):e18021. PubMed ID: 37994489
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine learning-derived identification of tumor-infiltrating immune cell-related signature for improving prognosis and immunotherapy responses in patients with skin cutaneous melanoma.
    Leng S; Nie G; Yi C; Xu Y; Zhang L; Zhu L
    Cancer Cell Int; 2023 Sep; 23(1):214. PubMed ID: 37752452
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Machine learning-based integration develops an immune-related risk model for predicting prognosis of high-grade serous ovarian cancer and providing therapeutic strategies.
    Wu Q; Tian R; He X; Liu J; Ou C; Li Y; Fu X
    Front Immunol; 2023; 14():1164408. PubMed ID: 37090728
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Suppressive stroma-immune prognostic signature impedes immunotherapy in ovarian cancer and can be reversed by PDGFRB inhibitors.
    Yang D; Duan MH; Yuan QE; Li ZL; Luo CH; Cui LY; Li LC; Xiao Y; Zhu XY; Zhang HL; Feng GK; Liu GC; Deng R; Li JD; Zhu XF
    J Transl Med; 2023 Sep; 21(1):586. PubMed ID: 37658364
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification and validation of pyroptosis-related gene landscape in prognosis and immunotherapy of ovarian cancer.
    Gao L; Ying F; Cai J; Peng M; Xiao M; Sun S; Zeng Y; Xiong Z; Cai L; Gao R; Wang Z
    J Ovarian Res; 2023 Jan; 16(1):27. PubMed ID: 36707884
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine learning-based identification of tumor-infiltrating immune cell-associated model with appealing implications in improving prognosis and immunotherapy response in bladder cancer patients.
    Chen H; Yang W; Ji Z
    Front Immunol; 2023; 14():1171420. PubMed ID: 37063886
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Assessing of programmed cell death gene signature for predicting ovarian cancer prognosis and treatment response.
    Lian X; Liu B; Wang C; Wang S; Zhuang Y; Li X
    Front Endocrinol (Lausanne); 2023; 14():1182776. PubMed ID: 37342266
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A novel autophagy-related gene signature associated with prognosis and immune microenvironment in ovarian cancer.
    Yang J; Wang C; Zhang Y; Cheng S; Wu M; Gu S; Xu S; Wu Y; Wang Y
    J Ovarian Res; 2023 Apr; 16(1):86. PubMed ID: 37120633
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comprehensive analysis of the interaction of antigen presentation during anti-tumour immunity and establishment of AIDPS systems in ovarian cancer.
    Sun W; Xu P; Gao K; Lian W; Sun X
    J Cell Mol Med; 2024 Apr; 28(8):e18309. PubMed ID: 38613345
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A macrophage related signature for predicting prognosis and drug sensitivity in ovarian cancer based on integrative machine learning.
    Zhao B; Pei L
    BMC Med Genomics; 2023 Oct; 16(1):230. PubMed ID: 37784081
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comprehensive machine-learning survival framework develops a consensus model in large-scale multicenter cohorts for pancreatic cancer.
    Wang L; Liu Z; Liang R; Wang W; Zhu R; Li J; Xing Z; Weng S; Han X; Sun YL
    Elife; 2022 Oct; 11():. PubMed ID: 36282174
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of an Autophagy-Related Signature for Prognosis and Immunotherapy Response Prediction in Ovarian Cancer.
    Ding J; Wang C; Sun Y; Guo J; Liu S; Cheng Z
    Biomolecules; 2023 Feb; 13(2):. PubMed ID: 36830707
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integrated machine learning identifies epithelial cell marker genes for improving outcomes and immunotherapy in prostate cancer.
    Zhu W; Zeng H; Huang J; Wu J; Wang Y; Wang Z; Wang H; Luo Y; Lai W
    J Transl Med; 2023 Nov; 21(1):782. PubMed ID: 37925432
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prognostic and immunotherapeutic potential of regulatory T cell-associated signature in ovarian cancer.
    Liu Y; Shan F; Sun Y; Kai H; Cao Y; Huang M; Liu J; Zhang P; Zheng Y
    J Cell Mol Med; 2024 Apr; 28(8):e18248. PubMed ID: 38520220
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Novel pyroptosis-related signature for predicting prognosis and evaluating tumor immune microenvironment in ovarian cancer.
    Yang J; Wang C; Zhang Y; Cheng S; Xu Y; Wang Y
    J Ovarian Res; 2023 Sep; 16(1):196. PubMed ID: 37730669
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comprehensive analysis of prognostic gene signatures based on immune infiltration of ovarian cancer.
    Yan S; Fang J; Chen Y; Xie Y; Zhang S; Zhu X; Fang F
    BMC Cancer; 2020 Dec; 20(1):1205. PubMed ID: 33287740
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Integrative analysis with machine learning identifies diagnostic and prognostic signatures in neuroblastoma based on differentially DNA methylated enhancers between INSS stage 4 and 4S neuroblastoma.
    Li S; Mi T; Jin L; Liu Y; Zhang Z; Wang J; Wu X; Ren C; Wang Z; Kong X; Liu J; Luo J; He D
    J Cancer Res Clin Oncol; 2024 Mar; 150(3):148. PubMed ID: 38512513
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A tumor-infiltrating immune cells-related pseudogenes signature based on machine-learning predicts outcomes and immunotherapy responses in ovarian cancer.
    Zhang Y; Guo M; Wang L; Weng S; Xu H; Ren Y; Liu L; Guo C; Cheng Q; Luo P; Zhang J; Han X
    Cell Signal; 2023 Nov; 111():110879. PubMed ID: 37659727
    [TBL] [Abstract][Full Text] [Related]  

  • 19. N6-methyladenosine-related lncRNAs is a potential marker for predicting prognosis and immunotherapy in ovarian cancer.
    Nie X; Tan J
    Hereditas; 2022 Mar; 159(1):17. PubMed ID: 35303965
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Use of machine learning-based integration to develop an immune-related signature for improving prognosis in patients with gastric cancer.
    Ning J; Sun K; Fan X; Jia K; Meng L; Wang X; Li H; Ma R; Liu S; Li F; Wang X
    Sci Rep; 2023 Apr; 13(1):7019. PubMed ID: 37120631
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.