BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

459 related articles for article (PubMed ID: 34322151)

  • 1. Weighted Gene Co-expression Network Analysis Identified a Novel Thirteen-Gene Signature Associated With Progression, Prognosis, and Immune Microenvironment of Colon Adenocarcinoma Patients.
    Zhang C; Zhao Z; Liu H; Yao S; Zhao D
    Front Genet; 2021; 12():657658. PubMed ID: 34322151
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of a glycolysis- and lactate-related gene signature for predicting prognosis, immune microenvironment, and drug candidates in colon adenocarcinoma.
    Liu C; Liu D; Wang F; Xie J; Liu Y; Wang H; Rong J; Xie J; Wang J; Zeng R; Zhou F; Peng J; Xie Y
    Front Cell Dev Biol; 2022; 10():971992. PubMed ID: 36081904
    [No Abstract]   [Full Text] [Related]  

  • 3. Construction of a novel choline metabolism-related signature to predict prognosis, immune landscape, and chemotherapy response in colon adenocarcinoma.
    Liu C; Liu D; Wang F; Liu Y; Xie J; Xie J; Xie Y
    Front Immunol; 2022; 13():1038927. PubMed ID: 36451813
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prognostic implications of ferroptosis-associated gene signature in colon adenocarcinoma.
    Miao YD; Kou ZY; Wang JT; Mi DH
    World J Clin Cases; 2021 Oct; 9(29):8671-8693. PubMed ID: 34734046
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An Intratumor Heterogeneity-Related Signature for Predicting Prognosis, Immune Landscape, and Chemotherapy Response in Colon Adenocarcinoma.
    Liu C; Liu D; Wang F; Xie J; Liu Y; Wang H; Rong J; Xie J; Wang J; Zeng R; Zhou F; Xie Y
    Front Med (Lausanne); 2022; 9():925661. PubMed ID: 35872794
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Transcriptomic correlates of cell cycle checkpoints with distinct prognosis, molecular characteristics, immunological regulation, and therapeutic response in colorectal adenocarcinoma.
    Wang H; Wang W; Wang Z; Li X
    Front Immunol; 2023; 14():1291859. PubMed ID: 38143740
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Novel Pyroptosis-Related Gene Signature for Predicting the Prognosis and the Associated Immune Infiltration in Colon Adenocarcinoma.
    Chen Z; Han Z; Nan H; Fan J; Zhan J; Zhang Y; Zhu H; Cao Y; Shen X; Xue X; Lin K
    Front Oncol; 2022; 12():904464. PubMed ID: 35912258
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The Interferon Gamma-Related Long Noncoding RNA Signature Predicts Prognosis and Indicates Immune Microenvironment Infiltration in Colon Adenocarcinoma.
    Liu C; Liu D; Wang F; Xie J; Liu Y; Wang H; Rong J; Xie J; Wang J; Zeng R; Xie Y
    Front Oncol; 2022; 12():876660. PubMed ID: 35747790
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A novel signature model based on mitochondrial-related genes for predicting survival of colon adenocarcinoma.
    Gao H; Xing F
    BMC Med Inform Decis Mak; 2022 Oct; 22(1):277. PubMed ID: 36273131
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Metabolism-related lncRNAs signature to predict the prognosis of colon adenocarcinoma.
    Sun Y; Liu B; Xiao B; Jiang X; Xiang JJ; Xie J; Hu XM
    Cancer Med; 2023 Mar; 12(5):5994-6008. PubMed ID: 36366731
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A potential prognostic prediction model of colon adenocarcinoma with recurrence based on prognostic lncRNA signatures.
    Jin L; Li C; Liu T; Wang L
    Hum Genomics; 2020 Jun; 14(1):24. PubMed ID: 32522293
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Gene Expression Along with Genomic Copy Number Variation and Mutational Analysis Were Used to Develop a 9-Gene Signature for Estimating Prognosis of COAD.
    Lu Y; Wu S; Cui C; Yu M; Wang S; Yue Y; Liu M; Sun Z
    Onco Targets Ther; 2020; 13():10393-10408. PubMed ID: 33116619
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An epithelial-mesenchymal transition-related mRNA signature associated with the prognosis, immune infiltration and therapeutic response of colon adenocarcinoma.
    Zhang Y; Li Y; Zuo Z; Li T; An Y; Zhang W
    Pathol Oncol Res; 2023; 29():1611016. PubMed ID: 36910014
    [No Abstract]   [Full Text] [Related]  

  • 14. Identification of a Four-Gene Metabolic Signature to Evaluate the Prognosis of Colon Adenocarcinoma Patients.
    Zheng Y; Wu R; Wang X; Yin C
    Front Public Health; 2022; 10():860381. PubMed ID: 35462848
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of the six-hormone secretion-related gene signature as a prognostic biomarker for colon adenocarcinoma.
    Jia X; Zhang T; Lv X; Du H; Sun Y; Guan Y
    Cancer Biomark; 2023; 38(4):523-535. PubMed ID: 38143338
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Downregulation of NAT1 Expression is Associated with Poor Prognosis and Immune Infiltration in COAD.
    Xu H; Zhang H; Sun S; Zhang J; Huo J; Zhou C
    Pharmgenomics Pers Med; 2024; 17():133-148. PubMed ID: 38651072
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Novel Cancer Stemness-Related Signature for Predicting Prognosis in Patients with Colon Adenocarcinoma.
    Wang W; Xu C; Ren Y; Wang S; Liao C; Fu X; Hu H
    Stem Cells Int; 2021; 2021():7036059. PubMed ID: 34691191
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Lactate Metabolism-Associated lncRNA Pairs: A Prognostic Signature to Reveal the Immunological Landscape and Mediate Therapeutic Response in Patients With Colon Adenocarcinoma.
    Xiao J; Wang X; Liu Y; Liu X; Yi J; Hu J
    Front Immunol; 2022; 13():881359. PubMed ID: 35911752
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Glucose metabolism-based signature predicts prognosis and immunotherapy strategies for colon adenocarcinoma.
    Bai Z; Yan C; Nie Y; Zeng Q; Xu L; Wang S; Chang D
    J Gene Med; 2024 Jan; 26(1):e3620. PubMed ID: 37973153
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Establishment of a 12-gene expression signature to predict colon cancer prognosis.
    Sun D; Chen J; Liu L; Zhao G; Dong P; Wu B; Wang J; Dong L
    PeerJ; 2018; 6():e4942. PubMed ID: 29915691
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 23.