BRIEF RESEARCH REPORT article
Front. Oncol.
Sec. Cancer Molecular Targets and Therapeutics
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1636394
Immunohistochemical Analysis of Enolase-1 Sublocalization in Benign and Malignant Breast Tumors: Potential Implications for Tumor Progression and Prognosis
Provisionally accepted- 1Faculdade de Medicina de São José do Rio Preto, São José do Rio Preto, Brazil
- 2Pat animal, São José do Rio Preto, Brazil
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Breast cancer is the second most common neoplasm in women and one of the main causes of premature mortality, with a high incidence before the age of seventy. Among its histological subtypes, invasive ductal carcinoma accounts for approximately 65% to 70% of cases and is characterized by significant molecular and prognostic heterogeneity. Although some molecular subtypes benefit from targeted therapies, triple-negative carcinomas remain a considerable clinical challenge, predominantly affecting young women who often subjected to highly aggressive and not always effective conventional treatments. The identification of prognostic and predictive biomarkers is essential to optimize therapeutic choices and anticipate potential resistance mechanisms. Enolase-1 (ENO1), a glycolytic enzyme involved in cellular energy homeostasis, has been widely associated with tumor progression and metabolic adaptation in malignant neoplasms. In this study, we investigated ENO1 expression in benign and malignant breast tumors using immunohistochemistry, analyzing both the tissue distribution pattern and staining intensity. Our results suggest that ENO1 may play a predictive diagnostic role, aiding in more individualized therapeutic strategies and contributing to the advancement of precision medicine in breast cancer.
Keywords: Breast cancer1, immunohistochemistry2, Enolase-13, Biomarkers4, ROC curve analysis5
Received: 27 May 2025; Accepted: 03 Oct 2025.
Copyright: © 2025 Baracioli, Rezende Corrêa, Silva, Alves, Da Nóbrega, Chuffa and Zuccari. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Debora A.P de Campos Zuccari, debora.zuccari@famerp.br
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.