BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

192 related articles for article (PubMed ID: 35754801)

  • 1. Unfolded Protein Response-Related Signature Associates With the Immune Microenvironment and Prognostic Prediction in Osteosarcoma.
    Zhang Z; Liu X; Cheng D; Dang J; Mi Z; Shi Y; Wang L; Fan H
    Front Genet; 2022; 13():911346. PubMed ID: 35754801
    [No Abstract]   [Full Text] [Related]  

  • 2. Unraveling the unfolded protein response signature: implications for tumor immune microenvironment heterogeneity and clinical prognosis in stomach cancer.
    Ouyang W; Liu Y; Huang H; Tan Y; Huang Z; Jia X; Yu Y; Yao H
    Aging (Albany NY); 2024 May; 16(9):7818-7844. PubMed ID: 38700505
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Anoikis patterns exhibit distinct prognostic and immune landscapes in Osteosarcoma.
    Zhang Z; Zhu Z; Fu J; Liu X; Mi Z; Tao H; Fan H
    Int Immunopharmacol; 2023 Feb; 115():109684. PubMed ID: 36630752
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Ferroptosis-related gene signature associates with immunity and predicts prognosis accurately in patients with osteosarcoma.
    Lei T; Qian H; Lei P; Hu Y
    Cancer Sci; 2021 Nov; 112(11):4785-4798. PubMed ID: 34506683
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of a novel signature based on unfolded protein response-related gene for predicting prognosis in bladder cancer.
    Zhu K; Xiaoqiang L; Deng W; Wang G; Fu B
    Hum Genomics; 2021 Dec; 15(1):73. PubMed ID: 34930465
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Exploring the immune microenvironment of osteosarcoma through T cell exhaustion-associated gene expression: a study on prognosis prediction.
    Zhu J; Yuan J; Arya S; Du Z; Liu X; Jia J
    Front Immunol; 2023; 14():1265098. PubMed ID: 38169731
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development and validation of apoptosis-related signature and molecular subtype to improve prognosis prediction in osteosarcoma patients.
    Hong J; Li Q; Wang X; Li J; Ding W; Hu H; He L
    J Clin Lab Anal; 2022 Jul; 36(7):e24501. PubMed ID: 35576501
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification and Development of an Age-Related Classification and Signature to Predict Prognosis and Immune Landscape in Osteosarcoma.
    Hong J; Wang X; Yu L; Li J; Hu H; Mao W
    J Oncol; 2022; 2022():5040458. PubMed ID: 36276293
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Construction of an ER stress-related prognostic signature for predicting prognosis and screening the effective anti-tumor drug in osteosarcoma.
    Chen W; Liao Y; Sun P; Tu J; Zou Y; Fang J; Chen Z; Li H; Chen J; Peng Y; Wen L; Xie X
    J Transl Med; 2024 Jan; 22(1):66. PubMed ID: 38229155
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Molecular characterization of Golgi apparatus-related genes indicates prognosis and immune infiltration in osteosarcoma.
    Zhang J; Liu J; Ding R; Miao X; Deng J; Zhao X; Wu T; Cheng X
    Aging (Albany NY); 2024 Mar; 16(6):5249-5263. PubMed ID: 38460960
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Expression of Lipid-Metabolism Genes Is Correlated With Immune Microenvironment and Predicts Prognosis in Osteosarcoma.
    Qian H; Lei T; Hu Y; Lei P
    Front Cell Dev Biol; 2021; 9():673827. PubMed ID: 33937273
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The hexosamine biosynthesis pathway-related gene signature correlates with immune infiltration and predicts prognosis of patients with osteosarcoma.
    Su Z; Wang C; Pan R; Li H; Chen J; Tan J; Tian X; Lin T; Shen J
    Front Immunol; 2022; 13():1028263. PubMed ID: 36275679
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comprehensive multi-omics analysis reveals m7G-related signature for evaluating prognosis and immunotherapy efficacy in osteosarcoma.
    Zhang Y; Gan W; Ru N; Xue Z; Chen W; Chen Z; Wang H; Zheng X
    J Bone Oncol; 2023 Jun; 40():100481. PubMed ID: 37139222
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Expression of lactate-related signatures correlates with immunosuppressive microenvironment and prognostic prediction in ewing sarcoma.
    Zhang Z; Pan J; Cheng D; Shi Y; Wang L; Mi Z; Fu J; Tao H; Fan H
    Front Genet; 2022; 13():965126. PubMed ID: 36092937
    [No Abstract]   [Full Text] [Related]  

  • 15. Identification of 9-Gene Epithelial-Mesenchymal Transition Related Signature of Osteosarcoma by Integrating Multi Cohorts.
    Yiqi Z; Ziyun L; Qin F; Xingli W; Liyu Y
    Technol Cancer Res Treat; 2020; 19():1533033820980769. PubMed ID: 33308057
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Establishment of an Autophagy-Related Clinical Prognosis Model for Predicting the Overall Survival of Osteosarcoma.
    Li J; Tang X; Du Y; Dong J; Zhao Z; Hu H; Song T; Guo J; Wang Y; Xu T; Shao C; Sheng Y; Xi Y
    Biomed Res Int; 2021; 2021():5428425. PubMed ID: 34604383
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Osteosarcoma subtypes based on platelet-related genes and tumor microenvironment characteristics.
    Shu Y; Peng J; Feng Z; Hu K; Li T; Zhu P; Cheng T; Hao L
    Front Oncol; 2022; 12():941724. PubMed ID: 36212395
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Exploration and Validation of a Novel Inflammatory Response-Associated Gene Signature to Predict Osteosarcoma Prognosis and Immune Infiltration.
    Fu Y; He G; Liu Z; Wang J; Zhang Z; Bao Q; Wen J; Jin Z; Zhang W
    J Inflamm Res; 2021; 14():6719-6734. PubMed ID: 34916821
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comprehensive analysis of prognostic tumor microenvironment-related genes in osteosarcoma patients.
    Hu C; Liu C; Tian S; Wang Y; Shen R; Rao H; Li J; Yang X; Chen B; Ye L
    BMC Cancer; 2020 Aug; 20(1):814. PubMed ID: 32854645
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of a Solute Carrier Family-Based Signature for Predicting Overall Survival in Osteosarcoma.
    Zheng D; Wei Z; Guo W
    Front Genet; 2022; 13():849789. PubMed ID: 35518353
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.