Preprint Brief Report Version 1 Preserved in Portico This version is not peer-reviewed

Technical validation of a fully integrated NGS platform in real-world practice of Italian referral institution

Version 1 : Received: 26 September 2023 / Approved: 27 September 2023 / Online: 28 September 2023 (04:19:36 CEST)

A peer-reviewed article of this Preprint also exists.

De Luca, C.; Pepe, F.; Russo, G.; Nacchio, M.; Pisapia, P.; Russo, M.; Conticelli, F.; Palumbo, L.; Scimone, C.; Cozzolino, D.; Gragnano, G.; Iaccarino, A.; Troncone, G.; Malapelle, U. Technical Validation of a Fully Integrated NGS Platform in the Real-World Practice of Italian Referral Institutions. J. Mol. Pathol. 2023, 4, 259-274. De Luca, C.; Pepe, F.; Russo, G.; Nacchio, M.; Pisapia, P.; Russo, M.; Conticelli, F.; Palumbo, L.; Scimone, C.; Cozzolino, D.; Gragnano, G.; Iaccarino, A.; Troncone, G.; Malapelle, U. Technical Validation of a Fully Integrated NGS Platform in the Real-World Practice of Italian Referral Institutions. J. Mol. Pathol. 2023, 4, 259-274.

Abstract

Aims: To date, precision medicine plays a pivotal role in the clinical administration of solid tumor patients. In this scenario, a rapidly increasing number of predictive biomarkers have been approved in diagnostic practice or are currently investigated in clinical trials. A pitfall in the molecular tests is the diagnostic routine sample available to analyze predictive biomarkers; scant tissue sample often represents the only diagnostical source of nucleic acids to assess molecular analysis. At the sight of these critical issues, Next Generation Sequencing (NGS) platforms emerged as referral testing strategy for molecular analysis of predictive biomarkers in routine practice but high-skilled personnel, extensive working-time drastically impact on the widespread diffusion of this technology in diagnostic setting. Here, we technically validate a fully integrated NGS platform on diagnostic routine tissue samples previously tested with NGS based diagnostic workflow by a referral institution. Methods: A retrospective series of n=64 samples (n=32 DNA, n=32 RNA samples), previously tested using a customized NGS assay (SiRe™ and SiRe fusion) were retrieved from internal archive of University of Naples Federico II. Each sample was tested by adopting Oncomine Precision Assay (OPA), able to detect 2769 molecular actionable alterations [hot spot mutations, copy number variations (CNV) and gene fusions on fully integrated NGS platform (Genexus, Thermofisher Scientifics. (26,27) Concordance rate between these technical approaches was carried out. Results: Genexus system successfully carried out molecular analysis in all instances. A concordance rate of 96.9% (31 out of 32) was observed between OPA and SiRe™ panel both for DNA and RNA based analysis. A negative predictive value of 100% and a positive predictive value of 96.9% (62 out of 64) was assessed. Conclusions: Fully automatized Genexus system combined with OPA (Thermofisher Scientifics) may be considered a technically valuable, saving time sequencing platform to test predictive biomarkers in diagnostic routine practice.

Keywords

NGS, predictive biomarkers, diagnostic samples

Subject

Medicine and Pharmacology, Oncology and Oncogenics

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