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 *

296 related articles for article (PubMed ID: 38594466)

  • 1. Targeting nucleotide metabolic pathways in colorectal cancer by integrating scRNA-seq, spatial transcriptome, and bulk RNA-seq data.
    Zhao S; Zhang P; Niu S; Xie J; Liu Y; Liu Y; Zhao N; Cheng C; Lu P
    Funct Integr Genomics; 2024 Apr; 24(2):72. PubMed ID: 38594466
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Combining single-cell sequencing and spatial transcriptome sequencing to identify exosome-related features of glioblastoma and constructing a prognostic model to identify BARD1 as a potential therapeutic target for GBM patients.
    Zhao S; Wang Q; Ni K; Zhang P; Liu Y; Xie J; Ji W; Cheng C; Zhou Q
    Front Immunol; 2023; 14():1263329. PubMed ID: 37727789
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Integrating scRNA-seq and bulk RNA-seq to characterize infiltrating cells in the colorectal cancer tumor microenvironment and construct molecular risk models.
    Wang Q; Zhang YF; Li CL; Wang Y; Wu L; Wang XR; Huang T; Liu GL; Chen X; Yu Q; He PF
    Aging (Albany NY); 2023 Dec; 15(23):13799-13821. PubMed ID: 38054820
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Construction of an immune predictive model and identification of TRIP6 as a prognostic marker and therapeutic target of CRC by integration of single-cell and bulk RNA-seq data.
    Liu W; Luo X; Zhang Z; Chen Y; Dai Y; Deng J; Yang C; Liu H
    Cancer Immunol Immunother; 2024 Mar; 73(4):69. PubMed ID: 38430268
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Metabolic Heterogeneity of Tumor Cells and its Impact on Colon Cancer Metastasis: Insights from Single-Cell and Bulk Transcriptome Analyses.
    Jia Y; Feng G; Chen S; Li W; Jia Z; Wang J; Li H; Hong S; Dai F
    J Cancer; 2024; 15(13):4175-4196. PubMed ID: 38947396
    [No Abstract]   [Full Text] [Related]  

  • 7. Integrating spatial and single-cell transcriptomics reveals tumor heterogeneity and intercellular networks in colorectal cancer.
    Xiao J; Yu X; Meng F; Zhang Y; Zhou W; Ren Y; Li J; Sun Y; Sun H; Chen G; He K; Lu L
    Cell Death Dis; 2024 May; 15(5):326. PubMed ID: 38729966
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Innovative prognostic modeling in ESCC: leveraging scRNA-seq and bulk-RNA for dendritic cell heterogeneity analysis.
    Shi M; Zhang H; Ma L; Wang X; Sun D; Feng Z
    Front Immunol; 2024; 15():1352454. PubMed ID: 38515748
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Dissecting order amidst chaos of programmed cell deaths: construction of a diagnostic model for KIRC using transcriptomic information in blood-derived exosomes and single-cell multi-omics data in tumor microenvironment.
    Wang C; He Y; Zheng J; Wang X; Chen S
    Front Immunol; 2023; 14():1130513. PubMed ID: 37153569
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Single-Cell RNA Sequencing Reveals the Role of Epithelial Cell Marker Genes in Predicting the Prognosis of Colorectal Cancer Patients.
    Shen KY; Chen BY; Gao WC
    Dis Markers; 2022; 2022():8347125. PubMed ID: 35968507
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integrative analysis reveals a four-gene signature for predicting survival and immunotherapy response in colon cancer patients using bulk and single-cell RNA-seq data.
    Chai R; Zhao Y; Su Z; Liang W
    Front Oncol; 2023; 13():1277084. PubMed ID: 38023180
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Integration analysis of single-cell and spatial transcriptomics reveal the cellular heterogeneity landscape in glioblastoma and establish a polygenic risk model.
    Liu Y; Wu Z; Feng Y; Gao J; Wang B; Lian C; Diao B
    Front Oncol; 2023; 13():1109037. PubMed ID: 37397378
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Integrating RNA-seq and scRNA-seq to explore the biological significance of NAD + metabolism-related genes in the initial diagnosis and relapse of childhood B-cell acute lymphoblastic leukemia.
    Lin C; Xu JQ; Zhong GC; Chen H; Xue HM; Yang M; Chen C
    Front Immunol; 2022; 13():1043111. PubMed ID: 36439178
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Integrative analysis of single-cell and bulk RNA seq to reveal the prognostic model and tumor microenvironment remodeling mechanisms of cuproptosis-related genes in colorectal cancer.
    Chu B; Wang Y; Yang J; Dong B
    Aging (Albany NY); 2023 Dec; 15(23):14422-14444. PubMed ID: 38078879
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Anoikis-related gene signatures in colorectal cancer: implications for cell differentiation, immune infiltration, and prognostic prediction.
    Ding T; Shang Z; Zhao H; Song R; Xiong J; He C; Liu D; Yi B
    Sci Rep; 2024 May; 14(1):11525. PubMed ID: 38773226
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Single-cell transcriptome analysis reveals heterogeneity and convergence of the tumor microenvironment in colorectal cancer.
    Xie S; Cai Y; Chen D; Xiang Y; Cai W; Mao J; Ye J
    Front Immunol; 2022; 13():1003419. PubMed ID: 36685571
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Single-cell and WGCNA uncover a prognostic model and potential oncogenes in colorectal cancer.
    Di Z; Zhou S; Xu G; Ren L; Li C; Ding Z; Huang K; Liang L; Yuan Y
    Biol Proced Online; 2022 Sep; 24(1):13. PubMed ID: 36117173
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Integration of single-cell sequencing and bulk RNA-seq to identify and develop a prognostic signature related to colorectal cancer stem cells.
    Wu J; Li W; Su J; Zheng J; Liang Y; Lin J; Xu B; Liu Y
    Sci Rep; 2024 May; 14(1):12270. PubMed ID: 38806611
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.