Author: Malapelle, Umberto; De Luca, Caterina; Iaccarino, Antonino; Pepe, Francesco; Pisapia, Pasquale; Russo, Maria; Sgariglia, Roberta; Nacchio, Mariantonia; Vigliar, Elena; Bellevicine, Claudio; Schmitt, Fernando C; Troncone, Giancarlo
Title: Predictive molecular pathology in the time of COVID-19 Cord-id: 0etfo21t Document date: 2020_5_19
ID: 0etfo21t
Snippet: AIMS: In 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. METHODS: The organisation of the University of Naples Federico II predictive pathology laboratory was assessed before (March–April 2019) and du
Document: AIMS: In 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. METHODS: The 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. RESULTS: The 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). CONCLUSION: In the times of coronavirus, laboratory fully automated platforms simplify predictive molecular testing. Laboratory staff may be more safely and cost-effectively managed.
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