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      Feasibility and first reports of the MATCH-R repeated biopsy trial at Gustave Roussy

      research-article
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      NPJ Precision Oncology
      Nature Publishing Group UK
      Biomarkers, Cancer genetics

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          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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          Molecularly targeted therapy based on tumour molecular profiling versus conventional therapy for advanced cancer (SHIVA): a multicentre, open-label, proof-of-concept, randomised, controlled phase 2 trial.

          Molecularly targeted agents have been reported to have anti-tumour activity for patients whose tumours harbour the matching molecular alteration. These results have led to increased off-label use of molecularly targeted agents on the basis of identified molecular alterations. We assessed the efficacy of several molecularly targeted agents marketed in France, which were chosen on the basis of tumour molecular profiling but used outside their indications, in patients with advanced cancer for whom standard-of-care therapy had failed.
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            Lorlatinib in patients with ALK-positive non-small-cell lung cancer: results from a global phase 2 study

            Lorlatinib is a potent, brain-penetrant, third-generation inhibitor of ALK and ROS1 tyrosine kinases with broad coverage of ALK mutations. In a phase 1 study, activity was seen in patients with ALK-positive non-small-cell lung cancer, most of whom had CNS metastases and progression after ALK-directed therapy. We aimed to analyse the overall and intracranial antitumour activity of lorlatinib in patients with ALK-positive, advanced non-small-cell lung cancer.
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              Patient-derived models of acquired resistance can identify effective drug combinations for cancer.

              Targeted cancer therapies have produced substantial clinical responses, but most tumors develop resistance to these drugs. Here, we describe a pharmacogenomic platform that facilitates rapid discovery of drug combinations that can overcome resistance. We established cell culture models derived from biopsy samples of lung cancer patients whose disease had progressed while on treatment with epidermal growth factor receptor (EGFR) or anaplastic lymphoma kinase (ALK) tyrosine kinase inhibitors and then subjected these cells to genetic analyses and a pharmacological screen. Multiple effective drug combinations were identified. For example, the combination of ALK and MAPK kinase (MEK) inhibitors was active in an ALK-positive resistant tumor that had developed a MAP2K1 activating mutation, and the combination of EGFR and fibroblast growth factor receptor (FGFR) inhibitors was active in an EGFR mutant resistant cancer with a mutation in FGFR3. Combined ALK and SRC (pp60c-src) inhibition was effective in several ALK-driven patient-derived models, a result not predicted by genetic analysis alone. With further refinements, this strategy could help direct therapeutic choices for individual patients.
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                Author and article information

                Contributors
                luc.friboulet@gustaveroussy.fr
                Journal
                NPJ Precis Oncol
                NPJ Precis Oncol
                NPJ Precision Oncology
                Nature Publishing Group UK (London )
                2397-768X
                8 September 2020
                8 September 2020
                2020
                : 4
                : 27
                Affiliations
                [1 ]GRID grid.14925.3b, ISNI 0000 0001 2284 9388, Université Paris-Saclay, Institut Gustave Roussy, Inserm U981, Biomarqueurs prédictifs et nouvelles stratégies thérapeutiques en oncologie, ; 94800 Villejuif, France
                [2 ]GRID grid.14925.3b, ISNI 0000 0001 2284 9388, Drug Development Department (DITEP), , Gustave Roussy Cancer Campus, ; Villejuif, France
                [3 ]GRID grid.14925.3b, ISNI 0000 0001 2284 9388, Department of biostatistics and epidemiology, , Gustave Roussy Cancer Campus, ; Villejuif, France
                [4 ]GRID grid.14925.3b, ISNI 0000 0001 2284 9388, Department of Medical Oncology, , Gustave Roussy Cancer Campus, ; Villejuif, France
                [5 ]GRID grid.460789.4, ISNI 0000 0004 4910 6535, 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
                [6 ]GRID grid.14925.3b, ISNI 0000 0001 2284 9388, Department of Medical Biology and Pathology, , Gustave Roussy Cancer Campus, ; Villejuif, France
                [7 ]GRID grid.460789.4, ISNI 0000 0004 4910 6535, Department of Clinical Research, Gustave Roussy Cancer Campus, , Université Paris-Saclay, ; Villejuif, France
                [8 ]GRID grid.14925.3b, ISNI 0000 0001 2284 9388, Department of Interventional Radiology, , Gustave Roussy Cancer Campus, ; Villejuif, France
                [9 ]XenTech, Evry, France
                [10 ]GRID grid.14925.3b, ISNI 0000 0001 2284 9388, Department of Hematology, , Gustave Roussy Cancer Campus, ; Villejuif, France
                Author information
                http://orcid.org/0000-0002-0127-1019
                http://orcid.org/0000-0002-6963-2968
                http://orcid.org/0000-0001-5795-8357
                http://orcid.org/0000-0002-1129-4978
                Article
                130
                10.1038/s41698-020-00130-7
                7478969
                32964129
                cb3d9a00-706a-4431-87be-5a82ae39ce26
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 30 November 2019
                : 24 July 2020
                Funding
                Funded by: European Research Council 717034
                Funded by: FundRef https://doi.org/10.13039/501100008392, Fondation Nelia et Amadeo Barletta (Nelia and Amadeo Barletta Foundation);
                Categories
                Article
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                © The Author(s) 2020

                biomarkers,cancer genetics
                biomarkers, cancer genetics

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