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Predictive molecular pathology in the time of coronavirus disease (COVID-19) in Europe.
Malapelle, Umberto; Pisapia, Pasquale; Iaccarino, Antonino; Barberis, Massimo; Bellevicine, Claudio; Brunnström, Hans; de Biase, Dario; De Maglio, Giovanna; Ericson Lindquist, Kajsa; Fassan, Matteo; Fontanini, Gabriella; Gruppioni, Elisa; Hofman, Paul; Merkelbach-Bruse, Sabine; Molina Vila, Miguel A; Pujals, Anaïs; Rapa, Ida; Righi, Luisella; Rosell, Rafael; Schildgen, Oliver; Schildgen, Verena; Schmitt, Fernando C; Tallini, Giovanni; Vander Borght, Sara; Vigliar, Elena; Volante, Marco; Wagener-Ryczek, Svenja; Weynand, Birgit; Troncone, Giancarlo.
Afiliação
  • Malapelle U; Department of Public Health, University of Naples Federico II, Naples, Italy.
  • Pisapia P; Department of Public Health, University of Naples Federico II, Naples, Italy.
  • Iaccarino A; Department of Public Health, University of Naples Federico II, Naples, Italy.
  • Barberis M; Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy.
  • Bellevicine C; Department of Public Health, University of Naples Federico II, Naples, Italy.
  • Brunnström H; Department of Clinical Sciences, Division of Oncology and Pathology, Lund University, Lund, Sweden.
  • de Biase D; Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy.
  • De Maglio G; Department of Pathology, University Hospital of Udine, Udine, Italy.
  • Ericson Lindquist K; Department of Clinical Sciences, Division of Oncology and Pathology, Lund University, Lund, Sweden.
  • Fassan M; Surgical Pathology Unit, Department of Medicine, University of Padua, Padua, Italy.
  • Fontanini G; Department of Surgical, Medical, and Molecular Pathology and Critical Area, University of Pisa, Pisa, Italy.
  • Gruppioni E; Department of Pathology, University of Bologna Medical Center, Bologna, Italy.
  • Hofman P; Pathology, INSERM, Nice, France.
  • Merkelbach-Bruse S; Institute of Pathology, University of Cologne, Cologne, Germany.
  • Molina Vila MA; Laboratory of Oncology, Pangaea Oncology, Barcelona, Spain.
  • Pujals A; Department of Pathology, CHU Henri Mondor, Creteil, France.
  • Rapa I; Pathology Unit, Department of Oncology, San Luigi Gonzaga Hospital, Orbassano, Italy.
  • Righi L; Pathology Unit, Department of Oncology, University of Turin, Turin, Italy.
  • Rosell R; Cancer Biology and Precision Medicine Program, Catalan Institute of Oncology; Germans Trias i Pujol Health Sciences Institute and Hospital Badalona, Barcelona, Spain.
  • Schildgen O; Institute of Pathology, Hospital of the Private University Witten/Herdecke, Cologne, Germany.
  • Schildgen V; Institute of Pathology, Hospital of the Private University Witten/Herdecke, Cologne, Germany.
  • Schmitt FC; Pathology, IPATIMUP and Medical Faculty of Porto, Porto, Portugal.
  • Tallini G; Department of Pathology, University of Bologna Medical Center, Bologna, Italy.
  • Vander Borght S; Department of Pathology, University Hospitals Leuven, Leuven, Belgium.
  • Vigliar E; Department of Public Health, University of Naples Federico II, Naples, Italy.
  • Volante M; Pathology Unit, Department of Oncology, University of Turin, Turin, Italy.
  • Wagener-Ryczek S; Institute of Pathology, University of Cologne, Cologne, Germany.
  • Weynand B; Department of Pathology, University Hospitals Leuven, Leuven, Belgium.
  • Troncone G; Department of Public Health, University of Naples Federico II, Naples, Italy giancarlo.troncone@unina.it.
J Clin Pathol ; 2020 Jul 31.
Article em En | MEDLINE | ID: mdl-32737190
AIMS: Lung cancer predictive biomarker testing is essential to select advanced-stage patients for targeted treatments and should be carried out without delays even during health emergencies, such as the coronavirus (COVID-19) outbreak. METHODS: Fifteen molecular laboratories from seven different European countries compared 4 weeks of national lockdown to a corresponding period in 2019, in terms of tissue and/or plasma-based molecular test workload, analytical platforms adopted, number of cases undergoing programmed death-ligand1 (PD-L1) expression assessment and DNA-based molecular tests turnaround time. RESULTS: In most laboratories (80.0%), tissue-based molecular test workload was reduced. In 40.0% of laboratories (6/15), the decrease was >25%, and in one, reduction was as high as 80.0%. In this instance, a concomitant increase in liquid biopsy was reported (60.0%). Remarkably, in 33.3% of the laboratories, real-time PCR (RT-PCR)-based methodologies increased, whereas highly multiplexing assays approaches decreased. Most laboratories (88.9%) did not report significant variations in PD-L1 volume testing. CONCLUSIONS: The workload of molecular testing for patients with advanced-stage lung cancer during the lockdown showed little variations. Local strategies to overcome health emergency-related issues included the preference for RT-PCR tissue-based testing methodologies and, occasionally, for liquid biopsy.
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Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Clin Pathol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Clin Pathol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Itália