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MicroRNAs Targeting HIF-2α, VEGFR1 and/or VEGFR2 as Potential Predictive Biomarkers for VEGFR Tyrosine Kinase and HIF-2α Inhibitors in Metastatic Clear-Cell Renal Cell Carcinoma.
Kinget, Lisa; Roussel, Eduard; Verbiest, Annelies; Albersen, Maarten; Rodríguez-Antona, Cristina; Graña-Castro, Osvaldo; Inglada-Pérez, Lucía; Zucman-Rossi, Jessica; Couchy, Gabrielle; Job, Sylvie; de Reyniès, Aurélien; Laenen, Annouschka; Baldewijns, Marcella; Beuselinck, Benoit.
Afiliação
  • Kinget L; Department of General Medical Oncology, Leuven Cancer Institute, University Hospitals Leuven, 3000 Leuven, Belgium.
  • Roussel E; Department of Urology, University Hospitals Leuven, 3000 Leuven, Belgium.
  • Verbiest A; Department of General Medical Oncology, Leuven Cancer Institute, University Hospitals Leuven, 3000 Leuven, Belgium.
  • Albersen M; Department of Urology, University Hospitals Leuven, 3000 Leuven, Belgium.
  • Rodríguez-Antona C; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), 28029 Madrid, Spain.
  • Graña-Castro O; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), 28029 Madrid, Spain.
  • Inglada-Pérez L; Department of Statistics and Operational Research, Faculty of Medicine, Complutense University, 28040 Madrid, Spain.
  • Zucman-Rossi J; Centre de Recherche des Cordeliers, Sorbonne Université, Université de Paris, INSERM, Functional Genomics of Solid Tumors Laboratory, équipe Labellisée Ligue Nationale Contre le Cancer, Labex OncoImmunology, F-75006 Paris, France.
  • Couchy G; Centre de Recherche des Cordeliers, Sorbonne Université, Université de Paris, INSERM, Functional Genomics of Solid Tumors Laboratory, équipe Labellisée Ligue Nationale Contre le Cancer, Labex OncoImmunology, F-75006 Paris, France.
  • Job S; Programme Cartes d'Identité des Tumeurs, Ligue Nationale Contre le Cancer, F-75006 Paris, France.
  • de Reyniès A; Programme Cartes d'Identité des Tumeurs, Ligue Nationale Contre le Cancer, F-75006 Paris, France.
  • Laenen A; Department of Biostatistics, KU Leuven, 3000 Leuven, Belgium.
  • Baldewijns M; Department of Pathology, University Hospitals Leuven, 3000 Leuven, Belgium.
  • Beuselinck B; Department of General Medical Oncology, Leuven Cancer Institute, University Hospitals Leuven, 3000 Leuven, Belgium.
Cancers (Basel) ; 13(12)2021 Jun 21.
Article em En | MEDLINE | ID: mdl-34205829
ABSTRACT
Metastatic clear-cell renal cell carcinoma (m-ccRCC) is characterized by increased hypoxia-induced factor (HIF)-2α and vascular endothelial growth factor receptor (VEGFR)-dependent angiogenesis through loss of function of the von Hippel-Lindau protein. VEGFR tyrosine kinase inhibitors (VEGFR-TKIs) are a cornerstone of m-ccRCC treatment, and new treatments targeting HIF-2α are currently under investigation. However, predictive biomarkers for these treatments are lacking. In this retrospective cohort study including 109 patients treated with VEGFR-targeted therapies as first-line treatment, we aimed to study the possible predictive function of microRNAs (miRNAs) targeting HIF-2α, VEGFR1 and VEGFR2. We selected miRNAs inversely correlated with HIF-2α, VEGFR1 and/or VEGFR2 expression and with predicted target sites in the respective genes and subsequently studied their impact on therapeutic outcomes. We identified four miRNAs (miR-34c-5p, miR-221-3p, miR-222-3p and miR-3529-3p) inversely correlated with VEGFR1 and/or VEGFR2 expression and associated with tumor shrinkage and progression-free survival (PFS) upon treatment with VEGFR-TKIs, highlighting the potential predictive value of these miRNAs. Moreover, we identified three miRNAs (miR-185-5p, miR-223-3p and miR-3529-3p) inversely correlated with HIF-2α expression and associated with tumor shrinkage and PFS upon treatment with VEGFR-TKIs. These three miRNAs can have a predictive value not only upon treatment with VEGFR-TKIs but possibly also upon treatment with the upcoming HIF-2α inhibitor belzutifan.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article