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Predictive molecular pathology in the time of COVID-19.

Authors :
Malapelle U
De Luca C
Iaccarino A
Pepe F
Pisapia P
Russo M
Sgariglia R
Nacchio M
Vigliar E
Bellevicine C
Schmitt FC
Troncone G
Source :
Journal of clinical pathology [J Clin Pathol] 2021 Apr; Vol. 74 (4), pp. 234-237. Date of Electronic Publication: 2020 May 19.
Publication Year :
2021

Abstract

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.<br />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.<br />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).<br />Conclusion: In the times of coronavirus, laboratory fully automated platforms simplify predictive molecular testing. Laboratory staff may be more safely and cost-effectively managed.<br />Competing Interests: Competing interests: UM reports personal fees (as speaker bureau or advisor) from Boehringer Ingelheim, AstraZeneca, Roche, MSD, Amgen, Merck and BMS. GT reports personal fees (as speaker bureau or advisor) from Roche, MSD and Pfizer.<br /> (© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.)

Details

Language :
English
ISSN :
1472-4146
Volume :
74
Issue :
4
Database :
MEDLINE
Journal :
Journal of clinical pathology
Publication Type :
Academic Journal
Accession number :
32434770
Full Text :
https://doi.org/10.1136/jclinpath-2020-206711