1. Recombinant TSR1 of ADAMTS5 Suppresses Melanoma Growth in Mice via an Anti-angiogenic Mechanism
    Bhuvanasundar Renganathan et al, 2018, Cancers CrossRef
  2. Development of Selective ADAMTS-5 Peptide Substrates to Monitor Proteinase Activity
    Milan M. Fowkes et al, 2023, Journal of Medicinal Chemistry CrossRef
  3. Prognostic value of lymph node metastasis in patients with T1-stage colorectal cancer from multiple centers in China
    Zhen-Qiang Sun et al, 2017, World Journal of Gastroenterology CrossRef
  4. ADAMTS‐5: A difficult teenager turning 20
    Salvatore Santamaria, 2020, International Journal of Experimental Pathology CrossRef
  5. Prognostic model for hepatocellular carcinoma based on anoikis-related genes: immune landscape analysis and prediction of drug sensitivity
    Dengyong Zhang et al, 2023, Frontiers in Medicine CrossRef
  6. Core–shell nanoparticles suppress metastasis and modify the tumour-supportive activity of cancer-associated fibroblasts
    Dávid Kovács et al, 2020, Journal of Nanobiotechnology CrossRef
  7. ADAMTS proteases and the tumor immune microenvironment: Lessons from substrates and pathologies
    Silvia Redondo-García et al, 2021, Matrix Biology Plus CrossRef
  8. MicroRNA-200c-5p Regulates Migration and Differentiation of Myoblasts via Targeting Adamts5 in Skeletal Muscle Regeneration and Myogenesis
    Yanwen Liu et al, 2023, International Journal of Molecular Sciences CrossRef
  9. Differential DNA methylation analysis of SUMF2, ADAMTS5, and PXDN provides novel insights into colorectal cancer prognosis prediction in Taiwan
    Jing-Quan Su et al, 2022, World Journal of Gastroenterology CrossRef
  10. Single-molecule methylation profiles of cell-free DNA in cancer with nanopore sequencing
    Billy T. Lau et al, 2023, Genome Medicine CrossRef
  11. PRDM14 promotes malignant phenotype and correlates with poor prognosis in colorectal cancer
    H. Igarashi et al, 2020, Clinical and Translational Oncology CrossRef
  12. Survival prediction in patients with colon adenocarcinoma via multiomics data integration using a deep learning algorithm
    Jiudi Lv et al, 2020, Bioscience Reports CrossRef