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 *

152 related articles for article (PubMed ID: 32925750)

  • 1. Construction of a 6-gene prognostic signature to assess prognosis of patients with pancreatic cancer.
    Yang J; Shi W; Zhu S; Yang C
    Medicine (Baltimore); 2020 Sep; 99(37):e22092. PubMed ID: 32925750
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of the Real Hub Gene and Construction of a Novel Prognostic Signature for Pancreatic Adenocarcinoma Based on the Weighted Gene Co-expression Network Analysis and Least Absolute Shrinkage and Selection Operator Algorithms.
    Yuan Q; Ren J; Wang Z; Ji L; Deng D; Shang D
    Front Genet; 2021; 12():692953. PubMed ID: 34490033
    [No Abstract]   [Full Text] [Related]  

  • 3. Identifying and Validating an Acidosis-Related Signature Associated with Prognosis and Tumor Immune Infiltration Characteristics in Pancreatic Carcinoma.
    Tang P; Qu W; Wu D; Chen S; Liu M; Chen W; Ai Q; Tang H; Zhou H
    J Immunol Res; 2021; 2021():3821055. PubMed ID: 34993253
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A novel tp53-associated nomogram to predict the overall survival in patients with pancreatic cancer.
    Liu X; Chen B; Chen J; Sun S
    BMC Cancer; 2021 Mar; 21(1):335. PubMed ID: 33789615
    [TBL] [Abstract][Full Text] [Related]  

  • 5. High expression of LAMA3/AC245041.2 gene pair associated with KRAS mutation and poor survival in pancreatic adenocarcinoma: a comprehensive TCGA analysis.
    Tian C; Li X; Ge C
    Mol Med; 2021 Jun; 27(1):62. PubMed ID: 34134622
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development and Validation of an Inflammatory Response-Related Gene Signature for Predicting the Prognosis of Pancreatic Adenocarcinoma.
    Deng ZL; Zhou DZ; Cao SJ; Li Q; Zhang JF; Xie H
    Inflammation; 2022 Aug; 45(4):1732-1751. PubMed ID: 35322324
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Integrating MicroRNA Expression Profiling Studies to Systematically Evaluate the Diagnostic Value of MicroRNAs in Pancreatic Cancer and Validate Their Prognostic Significance with the Cancer Genome Atlas Data.
    Zhang Z; Pan B; Lv S; Ji Z; Wu Q; Lang R; He Q; Zhao X
    Cell Physiol Biochem; 2018; 49(2):678-695. PubMed ID: 30165365
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of Prognostic Immune-Related Genes in Pancreatic Adenocarcinoma and Establishment of a Prognostic Nomogram: A Bioinformatic Study.
    Wu G; Deng Z; Jin Z; Wang J; Xu B; Zeng J; Peng M; Wen Z; Guo Y
    Biomed Res Int; 2020; 2020():1346045. PubMed ID: 32596278
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development and validation of a novel glycolysis-related risk signature for predicting survival in pancreatic adenocarcinoma.
    Li A; Hou S; Chen J; Jiang Y
    Clin Chim Acta; 2021 Jul; 518():156-161. PubMed ID: 33775699
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Construction of a five-gene prognostic model based on immune-related genes for the prediction of survival in pancreatic cancer.
    Liu B; Fu T; He P; Du C; Xu K
    Biosci Rep; 2021 Jul; 41(7):. PubMed ID: 34143198
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Integrate analysis of the promote function of Cell division cycle-associated protein family to pancreatic adenocarcinoma.
    Xing C; Wang Z; Zhu Y; Zhang C; Liu M; Hu X; Chen W; Du Y
    Int J Med Sci; 2021; 18(3):672-684. PubMed ID: 33437202
    [No Abstract]   [Full Text] [Related]  

  • 12. A New Stemness-Related Prognostic Model for Predicting the Prognosis in Pancreatic Ductal Adenocarcinoma.
    Huang XY; Qin WT; Su QS; Qiu CC; Liu RC; Xie SS; Hu Y; Zhu SY
    Biomed Res Int; 2021; 2021():6669570. PubMed ID: 34671679
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A robust 6-mRNA signature for prognosis prediction of pancreatic ductal adenocarcinoma.
    Zhou C; Zhao Y; Yin Y; Hu Z; Atyah M; Chen W; Meng Z; Mao H; Zhou Q; Tang W; Wang P; Li Z; Weng J; Bruns C; Popp M; Popp F; Dong Q; Ren N
    Int J Biol Sci; 2019; 15(11):2282-2295. PubMed ID: 31595147
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of a nomogram based on long non-coding RNA to improve prognosis prediction of esophageal squamous cell carcinoma.
    Li W; Liu J; Zhao H
    Aging (Albany NY); 2020 Jan; 12(2):1512-1526. PubMed ID: 31978896
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A DNA-Methylation-Driven Genes Based Prognostic Signature Reveals Immune Microenvironment in Pancreatic Cancer.
    Xiao M; Liang X; Yan Z; Chen J; Zhu Y; Xie Y; Li Y; Li X; Gao Q; Feng F; Fu G; Gao Y
    Front Immunol; 2022; 13():803962. PubMed ID: 35222383
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of a Nine-Gene Signature and Establishment of a Prognostic Nomogram Predicting Overall Survival of Pancreatic Cancer.
    Wu M; Li X; Zhang T; Liu Z; Zhao Y
    Front Oncol; 2019; 9():996. PubMed ID: 31612115
    [No Abstract]   [Full Text] [Related]  

  • 17. A combined hypoxia and immune gene signature for predicting survival and risk stratification in triple-negative breast cancer.
    Yang X; Weng X; Yang Y; Zhang M; Xiu Y; Peng W; Liao X; Xu M; Sun Y; Liu X
    Aging (Albany NY); 2021 Aug; 13(15):19486-19509. PubMed ID: 34341184
    [TBL] [Abstract][Full Text] [Related]  

  • 18. NEUROD1 predicts better prognosis in pancreatic cancer revealed by a TILs-based prognostic signature.
    Jiang Z; Pan J; Lu J; Mei J; Xu R; Xia D; Yang X; Wang H; Liu C; Xu J; Ding J
    Front Pharmacol; 2022; 13():1025921. PubMed ID: 36313290
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An Integrated Model Based on a Six-Gene Signature Predicts Overall Survival in Patients With Hepatocellular Carcinoma.
    Li W; Lu J; Ma Z; Zhao J; Liu J
    Front Genet; 2019; 10():1323. PubMed ID: 32010188
    [No Abstract]   [Full Text] [Related]  

  • 20. Prognostic and predictive value of a mRNA signature in peripheral T-cell lymphomas: A mRNA expression analysis.
    Tu J; Kuang Z; Xie X; Wu S; Wu T; Chen S
    J Cell Mol Med; 2021 Jan; 25(1):84-95. PubMed ID: 33259129
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.