Clear Search sequence regions


  • ARG1 (7)
  • cancer (9)
  • distant metastasis (2)
  • female (1)
  • humans (1)
  • metastasis (1)
  • mice (4)
  • Mig 6 (3)
  • patients (1)
  • poor prognostic (2)
  • prognosis (5)
  • Pten (8)
  • pten protein (1)
  • regulates (1)
  • urea (1)
  • uterus (2)
  • Sizes of these terms reflect their relevance to your search.

    Endometrial cancer (EC) is the most common gynecologic malignancy. While the majority of patients present with early-stage and low-grade EC and have an excellent prognosis, a subset has metastatic disease at presentation or develops distant recurrence after initial treatment of the primary. However, the lack of prognostic biomarkers for metastatic EC is a critical barrier. Arginase 1 (ARG1) regulates the last step of the urea cycle, and an increase in ARG1 has been correlated as a poor prognostic factor in a variety of cancers. In the present study, ARG1 expression was evaluated as a potential prognostic marker for metastatic EC in endometrial hyperplasia and cancer of mice with Pten mutation as well as Pten and Mig-6 double mutations. While Pten mutation in the uterus is not sufficient for distant metastasis, mice with concurrent ablation of Mig-6 and Pten develop distant metastasis. Our immunostaining and RT-qPCR analysis revealed that the expression of ARG1 in early stage of EC as well as endometrial hyperplasia from mice deficient in Mig-6 and Pten mutations significantly increased compared to Pten mutation in the uterus. The results suggest that a high level of ARG1 is associated with poor prognosis in association with EC of mouse. © 2024. The Author(s), under exclusive licence to Society for Reproductive Investigation.

    Citation

    Dinh Nam Tran, Valery Rozen, Loan Thi Kim Nguyen, Jin-Seok Jung, Lyndon M Coghill, Mark I Hunter, Tae Hoon Kim, Jung-Yoon Yoo, Jae-Wook Jeong. ARG1 Is a Potential Prognostic Marker in Metastatic Endometrial Cancer. Reproductive sciences (Thousand Oaks, Calif.). 2024 Jun;31(6):1632-1641

    Expand section icon Mesh Tags

    Expand section icon Substances


    PMID: 38388922

    View Full Text