Evidence map›Paper›PMID 34439357›Full record

ArticleCancers2021

MEM: An Algorithm for the Reliable Detection of Microsatellite Instability (MSI) on a Small NGS Panel in Colorectal Cancer.

Guillaume Herbreteau, Fabrice Airaud, Elise Pierre-Noël, Audrey Vallée, Stéphane Bézieau, Sandrine Théoleyre, Hélène Blons, Simon Garinet, Marc Guillaume Denis

Abstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Guillaume HerbreteauLaboratoire de Biochimie et Plateforme de Génétique Moléculaire des Cancers, CHU Nantes (Nantes University Hospital), 44093 Nantes, France.
Fabrice AiraudService de Génétique Médicale, CHU Nantes (Nantes University Hospital), 44093 Nantes, France.
Elise Pierre-NoëlLaboratoire de Biochimie et Plateforme de Génétique Moléculaire des Cancers, CHU Nantes (Nantes University Hospital), 44093 Nantes, France.
Audrey ValléeLaboratoire de Biochimie et Plateforme de Génétique Moléculaire des Cancers, CHU Nantes (Nantes University Hospital), 44093 Nantes, France.ORCID 0000-0003-1613-281X
Stéphane BézieauService de Génétique Médicale, CHU Nantes (Nantes University Hospital), 44093 Nantes, France.
Sandrine ThéoleyreLaboratoire de Biochimie et Plateforme de Génétique Moléculaire des Cancers, CHU Nantes (Nantes University Hospital), 44093 Nantes, France.
Hélène BlonsPlateforme de Génétique Moléculaire des Cancers, Hôpital Européen Georges Pompidou, Assistance Publique des Hôpitaux de Paris (Greater Paris University Hospitals), 75015 Paris, France.
Simon GarinetPlateforme de Génétique Moléculaire des Cancers, Hôpital Européen Georges Pompidou, Assistance Publique des Hôpitaux de Paris (Greater Paris University Hospitals), 75015 Paris, France.
Marc Guillaume DenisLaboratoire de Biochimie et Plateforme de Génétique Moléculaire des Cancers, CHU Nantes (Nantes University Hospital), 44093 Nantes, France.ORCID 0000-0001-5865-3248

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMEM is an NGS algorithm that uses Expectation-Maximisation to detect the presence of unstable alleles from the NGS sequences of five microsatellites (BAT-25, BAT-26, NR-21, NR-24 and NR-27). The purpose of this study was to compare the MEM algorithm with a reference PCR method (MSI-PCR) and MisMatch Repair protein immunohistochemistry (MMR-IHC).

methodsFFPE colorectal cancer samples from 146 patients were analysed in parallel by MSI-PCR and NGS using the MEM algorithm. MMR-IHC results were available for 133 samples. Serial dilutions of an MSI positive control were performed to estimate the limit of detection.

resultsthe MEM algorithm was able to detect unstable alleles of each microsatellite with up to a 5% allelic fraction. Of the 146 samples, 28 (19.2%) were MSI in MSI-PCR. MEM algorithm results were in perfect agreement with those of MSI-PCR, at both MSI status and individual microsatellite level (Cohen's kappa = 1). A high level of agreement was noted between MSI-PCR/MEM algorithm results and MMR-IHC results (Cohen's kappa = 0.931).

conclusionthe MEM algorithm can determine the MSI status of colorectal cancer samples on a small NGS panel, using only five microsatellites approved by international guidelines, and can be combined with screening for targetable mutations.

Indexed as

colorectal cancerdeficient mismatch repair systemexpectation-maximisation algorithmmicrosatellite instabilityNGS

Identifiers

PMID34439357
PMCPMC8394433

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.