Otros/as autores/as

Institut Català de la Salut

[Corres-Mendizabal J] Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Bizkaia Technology Park, Derio, Spain. [Zacchi F] Section of Innovation BiomedicineOncology Area, Department of Engineering for Innovation Medicine (DIMI), University of Verona and University and Hospital Trust (AOUI) of Verona, Verona, Italy. Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain. [Martín-Martín N] Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Bizkaia Technology Park, Derio, Spain. Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain. Translational Prostate Cancer Research Laboratory, CIC bioGUNE-Basurto, Biobizkaia Health Research Institute, Barakaldo, Bizkaia, Spain. [Mateo J] Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain. [Carracedo A] Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Bizkaia Technology Park, Derio, Spain. Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain. Translational Prostate Cancer Research Laboratory, CIC bioGUNE-Basurto, Biobizkaia Health Research Institute, Barakaldo, Bizkaia, Spain. Ikerbasque, Basque Foundation for Science, Bilbao, Spain. Biochemistry and Molecular Biology Department, University of the Basque Country (UPV/EHU), Bilbao, Spain

Vall d'Hebron Barcelona Hospital Campus

Fecha de publicación

2024-09-25T10:02:54Z

2024-09-25T10:02:54Z

2024-09



Resumen

Models experimentals; Metàstasi; Càncer de pròstata


Modelos experimentales; Metástasis; Cáncer de próstata


Experimental models; Metastasis; Prostate cancer


Metastatic hormone-naïve prostate cancer (mHNPC) is often the initial form of presentation for metastatic prostate cancer and encompasses a heterogeneous patient population with high inter-patient heterogeneity in prognosis and response to therapy. A more precise treatment of mHNPC, guided by evidence-based biomarkers, remains an unmet medical need. In addition, the limited number of representative laboratory models of mHNPC hampers the translation of basic research into clinical applications. We provide a comprehensive overview of the clinical and biological features that characterize mHNPC, highlight molecular data that could explain the unique prognostic characteristics of mHNPC, and identify key open questions.


We are thankful to Kathrin Keim for support with English editing. The work of A.C. is supported by the Basque Department of Industry, Tourism, and Trade (Elkartek), the BBVA Foundation (Becas Leonardo), the Ministerio de Ciencia e Innovación (MICINN; PID2022-141553OB-I0 ERDF (European Regional Development Fund)/EU]; the Fundación CRIS Contra el Cáncer ( PR_EX_2021-22 ), Severo Ochoa Excellence Accreditation ( CEX2021-001136-S ), the European Training Networks Project ( H2020-MSCA-ITN-308 2016 721532), the Spanish Association Against Cancer (AECC; GCTRA18006CARR ), the Fundación Jesús Serra, the iDIFFER Network of Excellence ( RED2022-134792-T ), the AstraZeneca Award for young scientists ( 2023 call) and the European Research Council (consolidator grant 819242 ). CIBERONC was cofunded with FEDER funds and funded by the Instituto de Salud Carlos III (ISCIII). J.M. is supported by a CRIS Talent Award ( TALENT20-10 ) and a Department of Defense Congressionally Directed Medical Research Program (CDMPR) Physician-Science Award ( PC220307 ). VHIO authors would like to acknowledge the Spanish State Agency for Research (Agencia Estatal de Investigación) for financial support as a Center of Excellence Severo Ochoa ( CEX2020-001024-S/AEI/10.13039/501100011033 ), the Cellex Foundation for providing research facilities and equipment, and the Foundation for Oncological Studies and Research (FERO) and the Centres de Recerca de Catalunya (CERCA) Programme from Generalitat de Catalunya for their support.

Tipo de documento

Artículo


Versión publicada

Lengua

Inglés

Publicado por

Elsevier

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Attribution 4.0 International

http://creativecommons.org/licenses/by/4.0/

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