BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

161 related articles for article (PubMed ID: 37122535)

  • 1. Machine Learning Predicts the Oxidative Stress Subtypes Provide an Innovative Insight into Colorectal Cancer.
    Zhong H; Yang L; Zeng Q; Chen W; Zhao H; Wu L; Qin L; Yu QQ
    Oxid Med Cell Longev; 2023; 2023():1737501. PubMed ID: 37122535
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of key genes for predicting colorectal cancer prognosis by integrated bioinformatics analysis.
    Dai GP; Wang LP; Wen YQ; Ren XQ; Zuo SG
    Oncol Lett; 2020 Jan; 19(1):388-398. PubMed ID: 31897151
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of Hub Genes Related to Carcinogenesis and Prognosis in Colorectal Cancer Based on Integrated Bioinformatics.
    Gong B; Kao Y; Zhang C; Sun F; Gong Z; Chen J
    Mediators Inflamm; 2020; 2020():5934821. PubMed ID: 32351322
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of potential biomarkers with colorectal cancer based on bioinformatics analysis and machine learning.
    Hammad A; Elshaer M; Tang X
    Math Biosci Eng; 2021 Oct; 18(6):8997-9015. PubMed ID: 34814332
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of biomarkers associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis.
    Chen L; Lu D; Sun K; Xu Y; Hu P; Li X; Xu F
    Gene; 2019 Apr; 692():119-125. PubMed ID: 30654001
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Molecular subtype identification and prognosis stratification by a metabolism-related gene expression signature in colorectal cancer.
    Lin D; Fan W; Zhang R; Zhao E; Li P; Zhou W; Peng J; Li L
    J Transl Med; 2021 Jun; 19(1):279. PubMed ID: 34193202
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A five-immune-related genes-based prognostic signature for colorectal cancer.
    Zhu L; Wang H; Wang Z
    Int Immunopharmacol; 2020 Nov; 88():106866. PubMed ID: 32781411
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Characterization of butyrate-metabolism in colorectal cancer to guide clinical treatment.
    Luo Q; Zhou P; Chang S; Huang Z; Zeng X
    Sci Rep; 2023 Mar; 13(1):5106. PubMed ID: 36991138
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Construction of a Colorectal Cancer Prognostic Risk Model and Screening of Prognostic Risk Genes Using Machine-Learning Algorithms.
    Du X; Qi H; Ji W; Li P; Hua R; Hu W; Qi F
    Comput Math Methods Med; 2022; 2022():9408839. PubMed ID: 36267311
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of a novel Immune-Related prognostic model for patients with colorectal cancer based on 3 subtypes.
    Yang X; Wei Q
    Immunobiology; 2023 Mar; 228(2):152352. PubMed ID: 36827833
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Integration of machine learning for developing a prognostic signature related to programmed cell death in colorectal cancer.
    Xu QT; Qiang JK; Huang ZY; Jiang WJ; Cui XM; Hu RH; Wang T; Yi XL; Li JY; Yu Z; Zhang S; Du T; Liu J; Jiang XH
    Environ Toxicol; 2024 May; 39(5):2908-2926. PubMed ID: 38299230
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of Gene Signature-Related Oxidative Stress for Predicting Prognosis of Colorectal Cancer.
    Wang X; Chen L; Cao H; Huang J
    Oxid Med Cell Longev; 2023; 2023():5385742. PubMed ID: 36819776
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of prognostic immune-related gene signature associated with tumor microenvironment of colorectal cancer.
    Wang Y; Li W; Jin X; Jiang X; Guo S; Xu F; Su X; Wang G; Zhao Z; Gu X
    BMC Cancer; 2021 Aug; 21(1):905. PubMed ID: 34364366
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A clinical prognostic model of oxidative stress-related genes linked to tumor immune cell infiltration and the prognosis of ovarian cancer patients.
    Li L; Zhang W; Sun Y; Zhang W; Lu M; Wang J; Jin Y; Xi Q
    Heliyon; 2024 Apr; 10(7):e28442. PubMed ID: 38560253
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification and validation of a pyroptosis-related prognostic model for colorectal cancer.
    Li R; Zhang S; Liu G
    Funct Integr Genomics; 2022 Dec; 23(1):21. PubMed ID: 36564624
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Machine Learning Model to Predict the Triple Negative Breast Cancer Immune Subtype.
    Chen Z; Wang M; De Wilde RL; Feng R; Su M; Torres-de la Roche LA; Shi W
    Front Immunol; 2021; 12():749459. PubMed ID: 34603338
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification and validation of a novel six-gene signature based on mucinous adenocarcinoma-related gene molecular typing in colorectal cancer.
    Man Y; Xin D; Ji Y; Liu Y; Kou L; Jiang L
    Discov Oncol; 2024 Mar; 15(1):63. PubMed ID: 38443703
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multiomics analysis of ferroptosis-related molecular subtypes in muscle-invasive bladder cancer immunotherapy.
    Wang H; Dai Y; Wu X; Hu B; Wang Z; Yan M
    Transl Cancer Res; 2022 Nov; 11(11):4089-4104. PubMed ID: 36523302
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Weighted gene co-expression network analysis combined with machine learning validation to identify key hub biomarkers in colorectal cancer.
    Guo C; Xie B; Liu Q
    Funct Integr Genomics; 2022 Dec; 23(1):24. PubMed ID: 36576616
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of hub genes and pathways in lung metastatic colorectal cancer.
    Dai W; Guo C; Wang Y; Li Y; Xie R; Wu J; Yao B; Xie D; He L; Li Y; Huang H; Wang Y; Liu S
    BMC Cancer; 2023 Apr; 23(1):323. PubMed ID: 37024866
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.