BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

670 related articles for article (PubMed ID: 33169786)

  • 1. Data mining of immune-related prognostic genes in metastatic melanoma microenvironment.
    Han W; Huang B; Zhao XY; Shen GL
    Biosci Rep; 2020 Nov; 40(11):. PubMed ID: 33169786
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Identification of immune-related genes with prognostic significance in the microenvironment of cutaneous melanoma.
    Qu Y; Zhang S; Zhang Y; Feng X; Wang F
    Virchows Arch; 2021 May; 478(5):943-959. PubMed ID: 33179141
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The nucleosome remodeling and deacetylase complex has prognostic significance and associates with immune microenvironment in skin cutaneous melanoma.
    Liu X; Wang J
    Int Immunopharmacol; 2020 Nov; 88():106887. PubMed ID: 32799111
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of a novel tumour microenvironment-based prognostic biomarker in skin cutaneous melanoma.
    Yang RH; Liang B; Li JH; Pi XB; Yu K; Xiang SJ; Gu N; Chen XD; Zhou ST
    J Cell Mol Med; 2021 Dec; 25(23):10990-11001. PubMed ID: 34755462
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comprehensive analysis of prognostic immune-related genes in the tumor microenvironment of cutaneous melanoma.
    Yang S; Liu T; Nan H; Wang Y; Chen H; Zhang X; Zhang Y; Shen B; Qian P; Xu S; Sui J; Liang G
    J Cell Physiol; 2020 Feb; 235(2):1025-1035. PubMed ID: 31240705
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Gene expression and immune infiltration in melanoma patients with different mutation burden.
    Wang L; Chen F; Liu R; Shi L; Zhao G; Yan Z
    BMC Cancer; 2021 Apr; 21(1):379. PubMed ID: 33836680
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Correlation of tumor-infiltrating immune cells of melanoma with overall survival by immunogenomic analysis.
    Huang L; Chen H; Xu Y; Chen J; Liu Z; Xu Q
    Cancer Med; 2020 Nov; 9(22):8444-8456. PubMed ID: 32931642
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The prognostic landscape of adaptive immune resistance signatures and infiltrating immune cells in the tumor microenvironment of uveal melanoma.
    Wang Y; Xu Y; Dai X; Lin X; Shan Y; Ye J
    Exp Eye Res; 2020 Jul; 196():108069. PubMed ID: 32439398
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Risk stratification of cutaneous melanoma reveals carcinogen metabolism enrichment and immune inhibition in high-risk patients.
    Li X; Cai Y
    Aging (Albany NY); 2020 Aug; 12(16):16457-16475. PubMed ID: 32858528
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development and validation of an immune gene set-based prognostic signature in cutaneous melanoma.
    Tian Q; Gao H; Zhao W; Zhou Y; Yang J
    Future Oncol; 2021 Nov; 17(31):4115-4129. PubMed ID: 34291650
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of prognosis-related genes in the tumor microenvironment of stomach adenocarcinoma by TCGA and GEO datasets.
    Ren N; Liang B; Li Y
    Biosci Rep; 2020 Oct; 40(10):. PubMed ID: 33015704
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Experimentally validated oxidative stress -associated prognostic signatures describe the immune landscape and predict the drug response and prognosis of SKCM.
    Rong D; Su Y; Jia D; Zeng Z; Yang Y; Wei D; Lu H; Cao Y
    Front Immunol; 2024; 15():1387316. PubMed ID: 38660305
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting the clinical outcome of melanoma using an immune-related gene pairs signature.
    Meng L; He X; Zhang X; Zhang X; Wei Y; Wu B; Li W; Li J; Xiao Y
    PLoS One; 2020; 15(10):e0240331. PubMed ID: 33031392
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prognostic value of tumour microenvironment-related genes by TCGA database in rectal cancer.
    Li C; Liu T; Liu Y; Zhang J; Zuo D
    J Cell Mol Med; 2021 Jun; 25(12):5811-5822. PubMed ID: 33949771
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Analysis on tumor immune microenvironment and construction of a prognosis model for immune-related skin cutaneous melanoma.
    Wu M; Wang Z; Zhang J
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2023 May; 48(5):671-681. PubMed ID: 37539569
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Topological Tumor Graphs: A Graph-Based Spatial Model to Infer Stromal Recruitment for Immunosuppression in Melanoma Histology.
    Failmezger H; Muralidhar S; Rullan A; de Andrea CE; Sahai E; Yuan Y
    Cancer Res; 2020 Mar; 80(5):1199-1209. PubMed ID: 31874858
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Exploration of the immune cell infiltration-related gene signature in the prognosis of melanoma.
    Zeng Y; Zeng Y; Yin H; Chen F; Wang Q; Yu X; Zhou Y
    Aging (Albany NY); 2021 Jan; 13(3):3459-3482. PubMed ID: 33428606
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of prognostic genes and construction of a novel gene signature in the skin melanoma based on the tumor microenvironment.
    Yingjuan W; Li Z; Wei C; Xiaoyuan W
    Medicine (Baltimore); 2021 May; 100(21):e26017. PubMed ID: 34032721
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 34.