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Feasibility and first reports of the MATCH-R repeated biopsy trial at Gustave Roussy.
Recondo, Gonzalo; Mahjoubi, Linda; Maillard, Aline; Loriot, Yohann; Bigot, Ludovic; Facchinetti, Francesco; Bahleda, Rastislav; Gazzah, Anas; Hollebecque, Antoine; Mezquita, Laura; Planchard, David; Naltet, Charles; Lavaud, Pernelle; Lacroix, Ludovic; Richon, Catherine; Lovergne, Aurelie Abou; De Baere, Thierry; Tselikas, Lambros; Deas, Olivier; Nicotra, Claudio; Ngo-Camus, Maud; Frias, Rosa L; Solary, Eric; Angevin, Eric; Eggermont, Alexander; Olaussen, Ken A; Vassal, Gilles; Michiels, Stefan; Andre, Fabrice; Scoazec, Jean-Yves; Massard, Christophe; Soria, Jean-Charles; Besse, Benjamin; Friboulet, Luc.
Afiliación
  • Recondo G; Université Paris-Saclay, Institut Gustave Roussy, Inserm U981, Biomarqueurs prédictifs et nouvelles stratégies thérapeutiques en oncologie, 94800 Villejuif, France.
  • Mahjoubi L; Drug Development Department (DITEP), Gustave Roussy Cancer Campus, Villejuif, France.
  • Maillard A; Department of biostatistics and epidemiology, Gustave Roussy Cancer Campus, Villejuif, France.
  • Loriot Y; Université Paris-Saclay, Institut Gustave Roussy, Inserm U981, Biomarqueurs prédictifs et nouvelles stratégies thérapeutiques en oncologie, 94800 Villejuif, France.
  • Bigot L; Department of Medical Oncology, Gustave Roussy Cancer Campus, Villejuif, France.
  • Facchinetti F; Université Paris-Saclay, Institut Gustave Roussy, Inserm U981, Biomarqueurs prédictifs et nouvelles stratégies thérapeutiques en oncologie, 94800 Villejuif, France.
  • Bahleda R; Université Paris-Saclay, Institut Gustave Roussy, Inserm U981, Biomarqueurs prédictifs et nouvelles stratégies thérapeutiques en oncologie, 94800 Villejuif, France.
  • Gazzah A; Drug Development Department (DITEP), Gustave Roussy Cancer Campus, Villejuif, France.
  • Hollebecque A; Drug Development Department (DITEP), Gustave Roussy Cancer Campus, Villejuif, France.
  • Mezquita L; Drug Development Department (DITEP), Gustave Roussy Cancer Campus, Villejuif, France.
  • Planchard D; Department of Medical Oncology, Gustave Roussy Cancer Campus, Villejuif, France.
  • Naltet C; Université Paris-Saclay, Institut Gustave Roussy, Inserm U981, Biomarqueurs prédictifs et nouvelles stratégies thérapeutiques en oncologie, 94800 Villejuif, France.
  • Lavaud P; Department of Medical Oncology, Gustave Roussy Cancer Campus, Villejuif, France.
  • Lacroix L; Department of Medical Oncology, Gustave Roussy Cancer Campus, Villejuif, France.
  • Richon C; Department of Medical Oncology, Gustave Roussy Cancer Campus, Villejuif, France.
  • Lovergne AA; Université Paris-Saclay, Institut Gustave Roussy, Inserm U981, Biomarqueurs prédictifs et nouvelles stratégies thérapeutiques en oncologie, 94800 Villejuif, France.
  • De Baere T; Experimental and Translational Pathology Platform (PETRA), Genomic Platform - Molecular Biopathology unit (BMO) and Biological Resource Center, AMMICA, INSERM US23/CNRS UMS3655, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France.
  • Tselikas L; Department of Medical Biology and Pathology, Gustave Roussy Cancer Campus, Villejuif, France.
  • Deas O; Experimental and Translational Pathology Platform (PETRA), Genomic Platform - Molecular Biopathology unit (BMO) and Biological Resource Center, AMMICA, INSERM US23/CNRS UMS3655, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France.
  • Nicotra C; Department of Clinical Research, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France.
  • Ngo-Camus M; Department of Interventional Radiology, Gustave Roussy Cancer Campus, Villejuif, France.
  • Frias RL; Department of Interventional Radiology, Gustave Roussy Cancer Campus, Villejuif, France.
  • Solary E; XenTech, Evry, France.
  • Angevin E; Drug Development Department (DITEP), Gustave Roussy Cancer Campus, Villejuif, France.
  • Eggermont A; Drug Development Department (DITEP), Gustave Roussy Cancer Campus, Villejuif, France.
  • Olaussen KA; Université Paris-Saclay, Institut Gustave Roussy, Inserm U981, Biomarqueurs prédictifs et nouvelles stratégies thérapeutiques en oncologie, 94800 Villejuif, France.
  • Vassal G; Department of Hematology, Gustave Roussy Cancer Campus, Villejuif, France.
  • Michiels S; Drug Development Department (DITEP), Gustave Roussy Cancer Campus, Villejuif, France.
  • Andre F; Department of Medical Oncology, Gustave Roussy Cancer Campus, Villejuif, France.
  • Scoazec JY; Université Paris-Saclay, Institut Gustave Roussy, Inserm U981, Biomarqueurs prédictifs et nouvelles stratégies thérapeutiques en oncologie, 94800 Villejuif, France.
  • Massard C; Department of Clinical Research, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France.
  • Soria JC; Department of biostatistics and epidemiology, Gustave Roussy Cancer Campus, Villejuif, France.
  • Besse B; Université Paris-Saclay, Institut Gustave Roussy, Inserm U981, Biomarqueurs prédictifs et nouvelles stratégies thérapeutiques en oncologie, 94800 Villejuif, France.
  • Friboulet L; Department of Medical Oncology, Gustave Roussy Cancer Campus, Villejuif, France.
NPJ Precis Oncol ; 4: 27, 2020.
Article en En | MEDLINE | ID: mdl-32964129
ABSTRACT
Unravelling the biological processes driving tumour resistance is necessary to support the development of innovative treatment strategies. We report the design and feasibility of the MATCH-R prospective trial led by Gustave Roussy with the primary objective of characterizing the molecular mechanisms of resistance to cancer treatments. The primary clinical endpoints consist of analyzing the type and frequency of molecular alterations in resistant tumours and compare these to samples prior to treatment. Patients experiencing disease progression after an initial partial response or stable disease for at least 24 weeks underwent a tumour biopsy guided by CT or ultrasound. Molecular profiling of tumours was performed using whole exome sequencing, RNA sequencing and panel sequencing. At data cut-off for feasibility analysis, out of 333 inclusions, tumour biopsies were obtained in 303 cases (91%). From these biopsies, 278 (83%) had sufficient quality for analysis by high-throughput next generation sequencing (NGS). All 278 samples underwent targeted NGS, 215 (70.9%) RNA sequencing and 222 (73.2%) whole exome sequencing. In total, 163 tumours were implanted in NOD scid gamma (NSG) or nude mice and 54 patient-derived xenograft (PDX) models were established, with a success rate of 33%. Adverse events secondary to invasive tumour sampling occurred in 24 patients (7.6%). Study recruitment is still ongoing. Systematic molecular profiling of tumours and the development of patient-derived models of acquired resistance to targeted agents and immunotherapy is feasible and can drive the selection of the next therapeutic strategy.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: NPJ Precis Oncol Año: 2020 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: NPJ Precis Oncol Año: 2020 Tipo del documento: Article País de afiliación: Francia