Predictive molecular pathology in the time of COVID-19

Author:

Malapelle UmbertoORCID,De Luca Caterina,Iaccarino Antonino,Pepe Francesco,Pisapia PasqualeORCID,Russo Maria,Sgariglia Roberta,Nacchio Mariantonia,Vigliar Elena,Bellevicine Claudio,Schmitt Fernando C,Troncone GiancarloORCID

Abstract

AimsIn the time of COVID-19, predictive molecular pathology laboratories must still timely select oncological patients for targeted treatments. However, the need to respect social distancing measures may delay results generated by laboratory-developed tests based on sequential steps a long hands-on time. Laboratory workflows should now be simplified.MethodsThe organisation of the University of Naples Federico II predictive pathology laboratory was assessed before (March–April 2019) and during (March–April 2020) the Italian lockdown.ResultsThe number of patients undergoing single or multiple biomarker testing was similar in 2019 (n=43) and in 2020 (n=45). Considering adequate samples for molecular testing, before the outbreak, next-generation sequencing was mostly used (35/42, 83.3%). Testing six genes had a reagent cost of €98/patient. Conversely, in 2020, almost all cases (38/41, 92.7%) were analysed by automated testing. This latter had for any single assay/gene a significant reagent cost (€95–€136) and a faster mean turnaround time (5.3 vs 7.9 working days).ConclusionIn the times of coronavirus, laboratory fully automated platforms simplify predictive molecular testing. Laboratory staff may be more safely and cost-effectively managed.

Publisher

BMJ

Subject

General Medicine,Pathology and Forensic Medicine

Reference27 articles.

1. A novel coronavirus outbreak of global health concern

2. World Health Organization (WHO) . WHO Director-General's opening remarks at the media briefing on COVID-19 - 11, 2020. Available: https://www.who.int/dg/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-COVID-19-11-march-2020

3. World Health Organization (WHO) . Coronavirus disease (COVID‐2019) situation reports, 2020. Available: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports [Accessed 21 Apr 2020].

4. Government of Italy . Decree of the President of the Council of ministers March 9th, 2020. Available: https://www.gazzettaufficiale.it/eli/id/2020/03/09/20A01558/sg

5. PD-L1 expression on routine samples of non-small cell lung cancer: results and critical issues from a 1-year experience of a centralised laboratory

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