BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 38664314)

  • 1. Identification of genes related to ribosomal proteins in colorectal cancer: exploring their potential as biomarkers, prognostic indicators, and therapeutic targets.
    Salehinia N; Mohammad Al-Mosawi AK; Al-Moussawi DK; Sadeghi ES; Zamani A; Mahdevar M
    Mol Biol Rep; 2024 Apr; 51(1):576. PubMed ID: 38664314
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An age stratified analysis of the biomarkers in patients with colorectal cancer.
    Yao H; Li C; Tan X
    Sci Rep; 2021 Nov; 11(1):22464. PubMed ID: 34789836
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The identification of a common different gene expression signature in patients with colorectal cancer.
    Zhao ZW; Fan XX; Yang LL; Song JJ; Fang SJ; Tu JF; Chen MJ; Zheng LY; Wu FZ; Zhang DK; Ying XH; Ji JS
    Math Biosci Eng; 2019 Apr; 16(4):2942-2958. PubMed ID: 31137244
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of potential therapeutic targets associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis.
    Sharma A; Yadav D; Rao P; Sinha S; Goswami D; Rawal RM; Shrivastava N
    Comput Biol Med; 2022 Jul; 146():105688. PubMed ID: 35680454
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of potential hub genes via bioinformatics analysis combined with experimental verification in colorectal cancer.
    Zhou H; Yang Z; Yue J; Chen Y; Chen T; Mu T; Liu H; Bi X
    Mol Carcinog; 2020 Apr; 59(4):425-438. PubMed ID: 32064687
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Integrative Gene Expression Profiling Analysis to Investigate Potential Prognostic Biomarkers for Colorectal Cancer.
    Liu X; Bing Z; Wu J; Zhang J; Zhou W; Ni M; Meng Z; Liu S; Tian J; Zhang X; Li Y; Jia S; Guo S
    Med Sci Monit; 2020 Jan; 26():e918906. PubMed ID: 31893510
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of hub genes in colorectal cancer based on weighted gene co-expression network analysis and clinical data from The Cancer Genome Atlas.
    Zhang Y; Luo J; Liu Z; Liu X; Ma Y; Zhang B; Chen Y; Li X; Feng Z; Yang N; Feng D; Wang L; Song X
    Biosci Rep; 2021 Jul; 41(7):. PubMed ID: 34308980
    [TBL] [Abstract][Full Text] [Related]  

  • 8. CX3CR1 Acts as a Protective Biomarker in the Tumor Microenvironment of Colorectal Cancer.
    Yue Y; Zhang Q; Sun Z
    Front Immunol; 2021; 12():758040. PubMed ID: 35140706
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of candidate biomarkers and therapeutic drugs of colorectal cancer by integrated bioinformatics analysis.
    Zheng Z; Xie J; Xiong L; Gao M; Qin L; Dai C; Liang Z; Wang Y; Xue J; Wang Q; Wang W; Li X
    Med Oncol; 2020 Oct; 37(11):104. PubMed ID: 33078282
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of 40S ribosomal protein S8 as a novel biomarker for alcohol‑associated hepatocellular carcinoma using weighted gene co‑expression network analysis.
    Bi N; Sun Y; Lei S; Zeng Z; Zhang Y; Sun C; Yu C
    Oncol Rep; 2020 Aug; 44(2):611-627. PubMed ID: 32627011
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of a five-gene signature with prognostic value in colorectal cancer.
    Sun G; Li Y; Peng Y; Lu D; Zhang F; Cui X; Zhang Q; Li Z
    J Cell Physiol; 2019 Apr; 234(4):3829-3836. PubMed ID: 30132881
    [TBL] [Abstract][Full Text] [Related]  

  • 12.
    Yang Q; Qi M; Chen Y; Tian S; Liao F; Dong W
    DNA Cell Biol; 2021 Jul; 40(7):921-935. PubMed ID: 34042518
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A network-based predictive gene expression signature for recurrence risks in stage II colorectal cancer.
    Yang WJ; Wang HB; Wang WD; Bai PY; Lu HX; Sun CH; Liu ZS; Guan DK; Yang GW; Zhang GL
    Cancer Med; 2020 Jan; 9(1):179-193. PubMed ID: 31724326
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of Target Genes and Pathways Associated With Cetuximab Insensitivity in Colorectal Cancer.
    Yu C; Hong H; Lu J; Zhao X; Hu W; Zhang S; Zong Y; Mao Z; Li J; Wang M; Feng B; Sun J; Zheng M
    Technol Cancer Res Treat; 2018 Jan; 17():1533033818806905. PubMed ID: 30336768
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of breast cancer hub genes and analysis of prognostic values using integrated bioinformatics analysis.
    Fang E; Zhang X
    Cancer Biomark; 2017 Dec; 21(1):373-381. PubMed ID: 29081411
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
    Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
    Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Discovery of the Anti-Tumor Mechanism of Calycosin Against Colorectal Cancer by Using System Pharmacology Approach.
    Huang C; Li R; Shi W; Huang Z
    Med Sci Monit; 2019 Jul; 25():5589-5593. PubMed ID: 31352466
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker.
    Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z
    Gene; 2019 May; 698():9-18. PubMed ID: 30825595
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Employing bioinformatics analysis to identify hub genes and microRNAs involved in colorectal cancer.
    Ebadfardzadeh J; Kazemi M; Aghazadeh A; Rezaei M; Shirvaliloo M; Sheervalilou R
    Med Oncol; 2021 Aug; 38(9):114. PubMed ID: 34390411
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.