BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

206 related articles for article (PubMed ID: 38238671)

  • 1. An immune-related exosome signature predicts the prognosis and immunotherapy response in ovarian cancer.
    Zhu K; Ma J; Tian Y; Liu Q; Zhang J
    BMC Womens Health; 2024 Jan; 24(1):49. PubMed ID: 38238671
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 5 signature genes revealed by single-cell profiling identified unique immune subtypes affecting the prognosis of ovarian cancer.
    Xiang SY; Li QK; Yang Z; Yi Q
    Eur Rev Med Pharmacol Sci; 2024 Mar; 28(5):2051-2062. PubMed ID: 38497886
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An exosome-derived lncRNA signature identified by machine learning associated with prognosis and biomarkers for immunotherapy in ovarian cancer.
    Cui Y; Zhang W; Lu W; Feng Y; Wu X; Zhuo Z; Zhang D; Zhang Y
    Front Immunol; 2024; 15():1228235. PubMed ID: 38404588
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Integrative analysis of cuproptosis-associated genes for predicting immunotherapy response in single-cell and multi-cohort studies.
    Li H; Wang Y; Li G; Xiong J; Qin L; Wen Q; Yue C
    J Gene Med; 2024 Jan; 26(1):e3600. PubMed ID: 37776237
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of STEAP3-based molecular subtype and risk model in ovarian cancer.
    Zhao Z; Sun C; Hou J; Yu P; Wei Y; Bai R; Yang P
    J Ovarian Res; 2023 Jun; 16(1):126. PubMed ID: 37386521
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A signature based on glycosyltransferase genes provides a promising tool for the prediction of prognosis and immunotherapy responsiveness in ovarian cancer.
    Xu X; Wu Y; Jia G; Zhu Q; Li D; Xie K
    J Ovarian Res; 2023 Jan; 16(1):5. PubMed ID: 36611197
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Ovarian cancer subtypes based on the regulatory genes of RNA modifications: Novel prediction model of prognosis.
    Zheng P; Li N; Zhan X
    Front Endocrinol (Lausanne); 2022; 13():972341. PubMed ID: 36545327
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Immunogenic cell death-related gene landscape predicts the overall survival and immune infiltration status of ovarian cancer.
    Zhang W; Liu T; Jiang L; Chen J; Li Q; Wang J
    Front Genet; 2022; 13():1001239. PubMed ID: 36425071
    [No Abstract]   [Full Text] [Related]  

  • 10. Development and validation of a model based on immunogenic cell death related genes to predict the prognosis and immune response to bladder urothelial carcinoma.
    Chen L; Lin J; Wen Y; Chen Y; Chen CB
    Front Oncol; 2023; 13():1291720. PubMed ID: 38023241
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Construction of ovarian metastasis-related immune signature predicting prognosis of gastric cancer patients.
    Gao J; Huo S; Zhang Y; Zhao Z; Pan H; Liu X
    Cancer Med; 2023 Jan; 12(1):913-929. PubMed ID: 35621244
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Construction of an Immune Cell Infiltration Score to Evaluate the Prognosis and Therapeutic Efficacy of Ovarian Cancer Patients.
    Liu J; Wang Y; Yuan S; Wei J; Bai J
    Front Immunol; 2021; 12():751594. PubMed ID: 34745124
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Integration of scRNA-Seq and Bulk RNA-Seq to Analyse the Heterogeneity of Ovarian Cancer Immune Cells and Establish a Molecular Risk Model.
    Liang L; Yu J; Li J; Li N; Liu J; Xiu L; Zeng J; Wang T; Wu L
    Front Oncol; 2021; 11():711020. PubMed ID: 34621670
    [TBL] [Abstract][Full Text] [Related]  

  • 15. CD4+ conventional T cells-related genes signature is a prognostic indicator for ovarian cancer.
    Hua T; Liu DX; Zhang XC; Li ST; Yan P; Zhao Q; Chen SB
    Front Immunol; 2023; 14():1151109. PubMed ID: 37063862
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identifying the Role of Oxidative Stress-Related Genes as Prognostic Biomarkers and Predicting the Response of Immunotherapy and Chemotherapy in Ovarian Cancer.
    Liu Q; Yang X; Yin Y; Zhang H; Yin F; Guo P; Zhang X; Sun C; Li S; Han Y; Yang Z
    Oxid Med Cell Longev; 2022; 2022():6575534. PubMed ID: 36561981
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of Hypoxia-Related Subtypes, Establishment of Prognostic Models, and Characteristics of Tumor Microenvironment Infiltration in Colon Cancer.
    Wang C; Tang Y; Ma H; Wei S; Hu X; Zhao L; Wang G
    Front Genet; 2022; 13():919389. PubMed ID: 35783281
    [No Abstract]   [Full Text] [Related]  

  • 18. Contribution of m5C RNA Modification-Related Genes to Prognosis and Immunotherapy Prediction in Patients with Ovarian Cancer.
    Liu Y; Liu S; Yan L; Zhang Q; Liu W; Huang X; Liu S
    Mediators Inflamm; 2023; 2023():1400267. PubMed ID: 38022687
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of copper metabolism-related subtypes and establishment of the prognostic model in ovarian cancer.
    Zhao S; Zhang X; Gao F; Chi H; Zhang J; Xia Z; Cheng C; Liu J
    Front Endocrinol (Lausanne); 2023; 14():1145797. PubMed ID: 36950684
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Exosome-Associated Gene Signature for Predicting the Prognosis of Ovarian Cancer Patients.
    Zhu Z; Geng R; Zhang Y; Liu J; Bai J
    J Immunol Res; 2023; 2023():8727884. PubMed ID: 36726489
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.