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 *

1373 related articles for article (PubMed ID: 36424614)

  • 1. Establishment of an ovarian cancer omentum metastasis-related prognostic model by integrated analysis of scRNA-seq and bulk RNA-seq.
    Zhang D; Lu W; Cui S; Mei H; Wu X; Zhuo Z
    J Ovarian Res; 2022 Nov; 15(1):123. PubMed ID: 36424614
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Establishment of an ovarian cancer exhausted CD8+T cells-related genes model by integrated analysis of scRNA-seq and bulk RNA-seq.
    Hua T; Liu DX; Zhang XC; Li ST; Wu JL; Zhao Q; Chen SB
    Eur J Med Res; 2024 Jul; 29(1):358. PubMed ID: 38970067
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. Comprehensive scRNA-seq analysis to identify new markers of M2 macrophages for predicting the prognosis of prostate cancer.
    Ou Y; Xia C; Ye C; Liu M; Jiang H; Zhu Y; Yang D
    Ann Med; 2024 Dec; 56(1):2398195. PubMed ID: 39221762
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Assessing of programmed cell death gene signature for predicting ovarian cancer prognosis and treatment response.
    Lian X; Liu B; Wang C; Wang S; Zhuang Y; Li X
    Front Endocrinol (Lausanne); 2023; 14():1182776. PubMed ID: 37342266
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Oxidative Stress Response Biomarkers of Ovarian Cancer Based on Single-Cell and Bulk RNA Sequencing.
    Zheng M; Hu Y; Liu O; Li S; Wang Y; Li X; Liu J; Yang Q; Li X; Lin B
    Oxid Med Cell Longev; 2023; 2023():1261039. PubMed ID: 36743693
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification and validation of biomarkers for epithelial-mesenchymal transition-related cells to estimate the prognosis and immune microenvironment in primary gastric cancer by the integrated analysis of single-cell and bulk RNA sequencing data.
    Shen K; Ke S; Chen B; Zhang T; Wang H; Lv J; Gao W
    Math Biosci Eng; 2023 Jun; 20(8):13798-13823. PubMed ID: 37679111
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Anoikis-related subtype and prognosis analyses based on bioinformatics, and an expression verification of ANGPTL4 based on experiments of lung adenocarcinoma.
    Shen X; Xie J; Liu S; Cai Y; Yuan S; Uehara Y; Zhu D; Zheng M
    J Thorac Dis; 2024 Aug; 16(8):5361-5378. PubMed ID: 39268091
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Integrative Analysis of Single-Cell and Bulk RNA Sequencing Reveals Prognostic Characteristics of Macrophage Polarization-Related Genes in Lung Adenocarcinoma.
    Mi K; Zeng L; Chen Y; Yang S
    Int J Gen Med; 2023; 16():5031-5050. PubMed ID: 37942473
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Revealing a cancer-associated fibroblast-based risk signature for pancreatic adenocarcinoma through single-cell and bulk RNA-seq analysis.
    Ma J; Chen Z; Hou L
    Aging (Albany NY); 2024 Sep; 16(18):12525-12542. PubMed ID: 39332020
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Analysis on heterogeneity of hepatocellular carcinoma immune cells and a molecular risk model by integration of scRNA-seq and bulk RNA-seq.
    Liu X; Li J; Wang Q; Bai L; Xing J; Hu X; Li S; Li Q
    Front Immunol; 2022; 13():1012303. PubMed ID: 36311759
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Characterization of cancer-related fibroblasts (CAF) in hepatocellular carcinoma and construction of CAF-based risk signature based on single-cell RNA-seq and bulk RNA-seq data.
    Yu L; Shen N; Shi Y; Shi X; Fu X; Li S; Zhu B; Yu W; Zhang Y
    Front Immunol; 2022; 13():1009789. PubMed ID: 36211448
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Integration of single-cell RNA-seq and bulk RNA-seq data to construct and validate a cancer-associated fibroblast-related prognostic signature for patients with ovarian cancer.
    Shen L; Li A; Cui J; Liu H; Zhang S
    J Ovarian Res; 2024 Apr; 17(1):82. PubMed ID: 38627854
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Construction of monocyte-related prognosis model based on comprehensive analysis of bulk RNA-seq and single-cell RNA-seq in high-grade serous ovarian cancer.
    Xu Y; Tan S; Huang W; Wang YX
    Medicine (Baltimore); 2023 Dec; 102(50):e36548. PubMed ID: 38115318
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prognostic prediction using a gene signature developed based on exhausted T cells for liver cancer patients.
    Zhou Y; Wu W; Cai W; Zhang D; Zhang W; Luo Y; Cai F; Shi Z
    Heliyon; 2024 Mar; 10(6):e28156. PubMed ID: 38533068
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A novel extrachromosomal circular DNA related genes signature for overall survival prediction in patients with ovarian cancer.
    Zhang Y; Dong K; Jia X; Du S; Wang D; Wang L; Qu H; Zhu S; Wang Y; Wang Z; Zhang S; Sun W; Fu S
    BMC Med Genomics; 2023 Jun; 16(1):140. PubMed ID: 37337170
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 69.