1. A Multi-Omics Approach Revealed Common Dysregulated Pathways in Type One and Type Two Endometrial Cancers
    Valeria Capaci et al, 2023, International Journal of Molecular Sciences CrossRef
  2. A Label-Free Proteomic Approach for the Identification of Biomarkers in the Exosome of Endometrial Cancer Serum
    Eduardo Sommella et al, 2022, Cancers CrossRef
  3. Two Dimensional-Difference in Gel Electrophoresis (2D-DIGE) Proteomic Approach for the Identification of Biomarkers in Endometrial Cancer Serum
    Blendi Ura et al, 2021, Cancers CrossRef
  4. Identification of proteins with different abundance associated with cell migration and proliferation in leiomyoma interstitial fluid by proteomics
    Blendi Ura et al, 2017, Oncology Letters CrossRef
  5. Gel-Based Proteomic Identification of Suprabasin as a Potential New Candidate Biomarker in Endometrial Cancer
    Fulvio Celsi et al, 2022, International Journal of Molecular Sciences CrossRef
  6. Phospho-DIGE Identified Phosphoproteins Involved in Pathways Related to Tumour Growth in Endometrial Cancer
    Valeria Capaci et al, 2023, International Journal of Molecular Sciences CrossRef
  7. The Deep Proteomics Approach Identified Extracellular Vesicular Proteins Correlated to Extracellular Matrix in Type One and Two Endometrial Cancer
    Valeria Capaci et al, 2024, International Journal of Molecular Sciences CrossRef
  8. Phosphoproteins Involved in the Inhibition of Apoptosis and in Cell Survival in the Leiomyoma
    Blendi Ura et al, 2019, Journal of Clinical Medicine CrossRef
  9. The importance of proteolytic and oxidative degradation of proteins in the developmentof uterine fibroids
    T. N. Pogorelova et al, 2019, Rossiiskii vestnik akushera-ginekologa CrossRef
  10. Leiomyoma phosphoproteins involved in inhibition of oxidative stress and synthesis of reactive oxygen species
    Blendi Ura et al, 2019, International Journal of Molecular Medicine CrossRef
  11. A proteomic approach for the identification of biomarkers in endometrial cancer uterine aspirate
    Blendi Ura et al, 2017, Oncotarget CrossRef