BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

283 related articles for article (PubMed ID: 37716991)

  • 1. Prediction of survival and immunotherapy response by the combined classifier of G protein-coupled receptors and tumor microenvironment in melanoma.
    Shen K; Wang Q; Wang L; Yang Y; Ren M; Li Y; Gao Z; Zheng S; Ding Y; Ji J; Wei C; Zhang T; Zhu Y; Feng J; Qin F; Yang Y; Wei C; Gu J
    Eur J Med Res; 2023 Sep; 28(1):352. PubMed ID: 37716991
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Based on scRNA-seq and bulk RNA-seq to establish tumor immune microenvironment-associated signature of skin melanoma and predict immunotherapy response.
    Li S; Zhao J; Wang G; Yao Q; Leng Z; Liu Q; Jiang J; Wang W
    Arch Dermatol Res; 2024 May; 316(6):262. PubMed ID: 38795156
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of fatty acid metabolism-related molecular subtype biomarkers and their correlation with immune checkpoints in cutaneous melanoma.
    Xu Y; Chen Y; Jiang W; Yin X; Chen D; Chi Y; Wang Y; Zhang J; Zhang Q; Han Y
    Front Immunol; 2022; 13():967277. PubMed ID: 36466837
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Integrative lactylation and tumor microenvironment signature as prognostic and therapeutic biomarkers in skin cutaneous melanoma.
    Zhu Y; Song B; Yang Z; Peng Y; Cui Z; Chen L; Song B
    J Cancer Res Clin Oncol; 2023 Dec; 149(20):17897-17919. PubMed ID: 37955686
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Combined signature of G protein-coupled receptors and tumor microenvironment provides a prognostic and therapeutic biomarker for skin cutaneous melanoma.
    Song B; Wang K; Peng Y; Zhu Y; Cui Z; Chen L; Yu Z; Song B
    J Cancer Res Clin Oncol; 2023 Dec; 149(20):18135-18160. PubMed ID: 38006451
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multi-omics identification of GPCR gene features in lung adenocarcinoma based on multiple machine learning combinations.
    Xie Y; Pan X; Wang Z; Ma H; Xu W; Huang H; Zhang J; Wang X; Lian C
    J Cancer; 2024; 15(3):776-795. PubMed ID: 38213730
    [No Abstract]   [Full Text] [Related]  

  • 7. A novel classifier combining G protein-coupled receptors and the tumor microenvironment is associated with survival status in glioblastoma.
    Guo C; Yu C; Gao W; Ren D; Zhang Y; Zheng P
    Front Pharmacol; 2023; 14():1093263. PubMed ID: 37560473
    [No Abstract]   [Full Text] [Related]  

  • 8. Comprehensive analysis of scRNA-Seq and bulk RNA-Seq reveals dynamic changes in the tumor immune microenvironment of bladder cancer and establishes a prognostic model.
    Tan Z; Chen X; Zuo J; Fu S; Wang H; Wang J
    J Transl Med; 2023 Mar; 21(1):223. PubMed ID: 36973787
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development and validation a prognostic model based on natural killer T cells marker genes for predicting prognosis and characterizing immune status in glioblastoma through integrated analysis of single-cell and bulk RNA sequencing.
    Hu J; Xu L; Fu W; Sun Y; Wang N; Zhang J; Yang C; Zhang X; Zhou Y; Wang R; Zhang H; Mou R; Du X; Li X; Hu S; Xie R
    Funct Integr Genomics; 2023 Aug; 23(3):286. PubMed ID: 37650991
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Construction and validation of immune-related LncRNAs classifier to predict prognosis and immunotherapy response in laryngeal squamous cell carcinoma.
    Wang X; Pan Y; Ou Y; Duan T; Zou Y; Zhou X
    World J Surg Oncol; 2022 May; 20(1):164. PubMed ID: 35606755
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Pan-cancer analysis of AIM2 inflammasomes with potential implications for immunotherapy in human cancer: A bulk omics research and single cell sequencing validation.
    Qin Y; Pan L; Qin T; Ruan H; Zhang Y; Zhang Y; Li J; Yang J; Li W
    Front Immunol; 2022; 13():998266. PubMed ID: 36248785
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development and validation of a personalized classifier to predict the prognosis and response to immunotherapy in glioma based on glycolysis and the tumor microenvironment.
    Fan P; Xia J; Zhou M; Zhuo C; He H
    PeerJ; 2023; 11():e16066. PubMed ID: 37744243
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A cellular senescence-related classifier based on a tumorigenesis- and immune infiltration-guided strategy can predict prognosis, immunotherapy response, and candidate drugs in hepatocellular carcinoma.
    Luo Y; Liu H; Fu H; Ding GS; Teng F
    Front Immunol; 2022; 13():974377. PubMed ID: 36458010
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The G protein-coupled receptor-related gene signatures for predicting prognosis and immunotherapy response in bladder urothelial carcinoma.
    Wan Z; Wang Y; Li C; Zheng D
    Open Life Sci; 2023; 18(1):20220682. PubMed ID: 37588995
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Identification and Validation of a Novel Tumor Microenvironment-Related Prognostic Signature of Patients With Hepatocellular Carcinoma.
    Li R; Zhao W; Liang R; Jin C; Xiong H
    Front Mol Biosci; 2022; 9():917839. PubMed ID: 35847972
    [No Abstract]   [Full Text] [Related]  

  • 17. 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]  

  • 18. ADGRE5-centered Tsurv model in T cells recognizes responders to neoadjuvant cancer immunotherapy.
    Li J; Meng Z; Cao Z; Lu W; Yang Y; Li Z; Lu S
    Front Immunol; 2024; 15():1304183. PubMed ID: 38343549
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development of an IFNγ response-related signature for predicting the survival of cutaneous melanoma.
    Hu B; Wei Q; Li X; Ju M; Wang L; Zhou C; Chen L; Li Z; Wei M; He M; Zhao L
    Cancer Med; 2020 Nov; 9(21):8186-8201. PubMed ID: 32902917
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The Landscape of the Tumor Microenvironment in Skin Cutaneous Melanoma Reveals a Prognostic and Immunotherapeutically Relevant Gene Signature.
    Zhou S; Sun Y; Chen T; Wang J; He J; Lyu J; Shen Y; Chen X; Yang R
    Front Cell Dev Biol; 2021; 9():739594. PubMed ID: 34660598
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.