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 *

237 related articles for article (PubMed ID: 38039294)

  • 1. Construction of a 5-gene prognostic signature based on oxidative stress related genes for predicting prognosis in osteosarcoma.
    Hong X; Fu R
    PLoS One; 2023; 18(12):e0295364. PubMed ID: 38039294
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Constructing a novel gene signature derived from oxidative stress specific subtypes for predicting survival in stomach adenocarcinoma.
    Zhou R; Peng N; Li W
    Front Immunol; 2022; 13():964919. PubMed ID: 36059494
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of cuproptosis-related subtypes, construction of a prognosis model, and tumor microenvironment landscape in gastric cancer.
    Wang J; Qin D; Tao Z; Wang B; Xie Y; Wang Y; Li B; Cao J; Qiao X; Zhong S; Hu X
    Front Immunol; 2022; 13():1056932. PubMed ID: 36479114
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification and characterization of aging/senescence-induced genes in osteosarcoma and predicting clinical prognosis.
    Lv Y; Wu L; Jian H; Zhang C; Lou Y; Kang Y; Hou M; Li Z; Li X; Sun B; Zhou H
    Front Immunol; 2022; 13():997765. PubMed ID: 36275664
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. The mitochondrial energy metabolism pathway-related signature predicts prognosis and indicates immune microenvironment infiltration in osteosarcoma.
    Yang S; Liu L; Liu X; Li X; Zheng Y; Ren Z; Wang R; Wang Y; Li Q
    Medicine (Baltimore); 2023 Nov; 102(46):e36046. PubMed ID: 37986397
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of a 3-gene signature based on differentially expressed invasion genes related to cancer molecular subtypes to predict the prognosis of osteosarcoma patients.
    Wan Y; Qu N; Yang Y; Ma J; Li Z; Zhang Z
    Bioengineered; 2021 Dec; 12(1):5916-5931. PubMed ID: 34488541
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comprehensive analysis of a glycolysis and cholesterol synthesis-related genes signature for predicting prognosis and immune landscape in osteosarcoma.
    Xu F; Yan J; Peng Z; Liu J; Li Z
    Front Immunol; 2022; 13():1096009. PubMed ID: 36618348
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification and verification of a BMPs-related gene signature for osteosarcoma prognosis prediction.
    Xie L; Zeng J; He M
    BMC Cancer; 2023 Feb; 23(1):181. PubMed ID: 36814224
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. An oxidative stress-related signature for predicting the prognosis of liver cancer.
    Wang L; Liu X
    Front Genet; 2022; 13():975211. PubMed ID: 36685933
    [No Abstract]   [Full Text] [Related]  

  • 13. 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]  

  • 14. A novel risk score model based on eight genes and a nomogram for predicting overall survival of patients with osteosarcoma.
    Wu G; Zhang M
    BMC Cancer; 2020 May; 20(1):456. PubMed ID: 32448271
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Vessel state and immune infiltration of the angiogenesis subgroup and construction of a prediction model in osteosarcoma.
    Wu J; Jin Z; Lin J; Fu Y; Wang J; Shen Y
    Front Immunol; 2022; 13():992266. PubMed ID: 36405691
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The immune cell infiltration-associated molecular subtypes and gene signature predict prognosis for osteosarcoma patients.
    Liu B; Liu XY; Wang GP; Chen YX
    Sci Rep; 2024 Mar; 14(1):5184. PubMed ID: 38431660
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A novel stratification framework based on anoikis-related genes for predicting the prognosis in patients with osteosarcoma.
    Zhang X; Wen Z; Wang Q; Ren L; Zhao S
    Front Immunol; 2023; 14():1199869. PubMed ID: 37575253
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Dissecting the effect of sphingolipid metabolism gene in progression and microenvironment of osteosarcoma to develop a prognostic signature.
    Zhong Y; Zhang Y; Wei S; Chen J; Zhong C; Cai W; Jin W; Peng H
    Front Endocrinol (Lausanne); 2022; 13():1030655. PubMed ID: 36313783
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 12.