One-instrument, objective microsatellite instability analysis using high-resolution melt.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 04 12 2023
accepted: 29 03 2024
medline: 25 4 2024
pubmed: 25 4 2024
entrez: 25 4 2024
Statut: epublish

Résumé

In recent years, immune checkpoint inhibitors have proved immense clinical progression in the treatment of certain cancers. The efficacy of immune checkpoint inhibitors is correlated with mismatch repair system deficiency and is exceptionally administered based exclusively on this biological mechanism independent of the cancer type. The promising effect of immune checkpoint inhibitors has left an increasing demand for analytical tools evaluating the mismatch repair status. The analysis of microsatellite instability (MSI), reflecting an indirect but objective manner the inactivation of the mismatch repair system, plays several roles in clinical practice and, therefore, its evaluation is of high relevance. Analysis of MSI by PCR followed by fragment analysis on capillary electrophoresis remains the gold standard method for detection of a deficient mismatch repair system and thereby treatment with immune checkpoint inhibitors. Novel technologies have been applied and concepts such as tumor mutation burden have been introduced. However, to date, most of these technologies require high costs or the need of matched non-tumor tissue as internal comparator. In this study, we present a novel, one-instrument, fast, and objective method for the detection of MSI (MicroSight® MSI 1-step HRM Analysis), which does not depend on the use of matched non-tumor tissue. The assay analyzes five well-described mononucleotide microsatellite sequences by real-time PCR followed by high-resolution melt and evaluates microsatellite length variations via PCR product melting profiles. The assay was evaluated using two different patient cohorts and evaluation included several DNA extraction methodologies, two different PCR platforms, and an inter-laboratory ring study. The MicroSight® MSI assay showed a high repeatability regardless of DNA extraction method and PCR platform, and a 100% agreement of the MSI status with PCR fragment analysis methods applied as clinical comparator.

Identifiants

pubmed: 38662796
doi: 10.1371/journal.pone.0302274
pii: PONE-D-23-37922
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0302274

Informations de copyright

Copyright: © 2024 Bendixen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

I have read the journal’s policy and the authors of this manuscript have the following competing interests: K.K.B., E.E.H., S.K.E., M.B., U.B.C., and R.K.P. received salaries from Innovation Fund Denmark. The funding organization did not play a role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript and only provided financial support in the form of authors’ salaries and research materials. K.K.B., S.FP., E.E.H., S.K.E., M.B., U.B.C., and R.K.P. were employed at PentaBase A/S during this study. PentaBase A/S is the manufacturer and seller of MicroSight® MSI 1-step HRM Analysis, which is the assay of interest in this study. K.K.B., E.E.H., S.K.E., U.B.C., and R.K.P. are all founders of a patent application covering the novel technology which MicroSight® MSI 1-step HRM Analysis is based on [International Publication number: WO2020229510A1]. The remaining authors declare no conflict of interest. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Auteurs

Giulia Dazio (G)

Institute of Pathology, Ente Ospedaliero Cantonale, Locarno, Switzerland.

Emeli Elisabeth Hansen (EE)

PentaBase A/S, Odense, Denmark.

Sarah Kronborg Eriksen (SK)

PentaBase A/S, Odense, Denmark.

Samantha Epistolio (S)

Institute of Pathology, Ente Ospedaliero Cantonale, Locarno, Switzerland.

Elisabetta Merlo (E)

Institute of Pathology, Ente Ospedaliero Cantonale, Locarno, Switzerland.

Renzo Boldorini (R)

Unit of Pathology, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy.

Tiziana Venesio (T)

Candiolo Cancer Institute, Fondazione del Piemonte per l'Oncologia, Candiolo, Italy.

Alessandra Movilia (A)

Hospital of Legnano, SS Biologia Molecolare, UO Anatomia Patologica, Azienda Socio Sanitaria Territoriale Ovest Milanese, Ospedale di Legnano, Legnano, Italy.

Cecilia Caprera (C)

Laboratory of Molecular Oncology and Predictive Medicine, Pathology Unit, Azienda Ospedaliera Santa Maria di Terni, Terni, Italy.

Eva Christensen Arnspang (EC)

Department of Green Technology, Faculty of Engineering, University of Southern Denmark, Odense, Denmark.

Michael Børgesen (M)

PentaBase A/S, Odense, Denmark.

Ulf Bech Christensen (UB)

PentaBase A/S, Odense, Denmark.

Milo Frattini (M)

Institute of Pathology, Ente Ospedaliero Cantonale, Locarno, Switzerland.

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