Development of a microRNA-based prognostic model for accurate prediction of distant metastasis in breast cancer patients

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Publication Details

Journal
Breast Cancer Research
Published
2025-09-29
DOI
https://doi.org/10.1186/s13058-025-02124-4
Citations
2
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
1.87

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article

Development of a microRNA-based prognostic model for accurate prediction of distant metastasis in breast cancer patients

Paola Parrella, Barbara Pasculli, Orazio Palumbo, Giusi Prencipe et al.
2 citations
Breast Cancer Research
Cancer-related molecular mechanisms research
1.87
article

Development of a microRNA-based prognostic model for accurate prediction of distant metastasis in breast cancer patients

Paola Parrella, Barbara Pasculli, Orazio Palumbo, Giusi Prencipe, Ilaria Laurenzana, Michelina Rendina, Manel Esteller, Patrizia Vici, Ange Ahoussougbemey Mele, Marina Castelvetere, Tommaso Biagini, L. Ciuffreda, Maria Morritti, Luciana De Luca, Gandino Mencarelli, Antonella Caivano, Sara Bravaccini, Massimo Carella, Paolo Graziano, Nadia Trivieri, Evaristo Maiello, Francesca Sofia Di Lisa, Raffaela Barbano, Andrea Fontana, Elena Binda, Tommaso Mazza, Massimiliano Copetti, Vanna Maria Valori, Daniela Lamorte, Roberto Murgo
article en
2 citations

Abstract

No abstract available for this paper.
Breast Cancer ResearchVol. 27(1)
Institució Catalana de Recerca i Estudis Avançats (ES), Università degli Studi di Enna Kore (IT), Casa Sollievo della Sofferenza (IT), Agostino Gemelli University Polyclinic (IT), Josep Carreras Leukaemia Research Institute (ES), Centro di Riferimento Oncologico della Basilicata (IT), Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IT), Tumori Foundation (US), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Centro de Investigación Biomédica en Red de Cáncer (ES), Universitat de Barcelona (ES), Sapienza University of Rome (IT)
Ministero della Salute, Associazione Italiana per la Ricerca sul Cancro, European Regional Development Fund
Openalex Percentile: Top 12%
Cancer-related molecular mechanisms research
1.87
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