Evidence map›Paper›PMID 36866160›Full record

ReviewThe EPMA journal2023

Microsatellite instability assessment is instrumental for Predictive, Preventive and Personalised Medicine: status quo and outlook.

Jakub Styk, Zuzana Pös, Ondrej Pös, Jan Radvanszky, Evelina Hrckova Turnova, Gergely Buglyó, Daniela Klimova, Jaroslav Budis, Vanda Repiska, Bálint Nagy and 1 more

Abstract readReview
In one paragraph

Review in The EPMA journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

11 authors.

Jakub StykInstitute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, 811 08 Bratislava, Slovakia.ORCID 0000-0002-5717-3522
Zuzana PösComenius University Science Park, 841 04 Bratislava, Slovakia.
Ondrej PösComenius University Science Park, 841 04 Bratislava, Slovakia.
Jan RadvanszkyComenius University Science Park, 841 04 Bratislava, Slovakia.
Evelina Hrckova TurnovaComenius University Science Park, 841 04 Bratislava, Slovakia.
Gergely BuglyóDepartment of Human Genetics, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Daniela KlimovaInstitute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, 811 08 Bratislava, Slovakia.
Jaroslav BudisComenius University Science Park, 841 04 Bratislava, Slovakia.
Vanda RepiskaInstitute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, 811 08 Bratislava, Slovakia.
Bálint NagyComenius University Science Park, 841 04 Bratislava, Slovakia.
Tomas SzemesComenius University Science Park, 841 04 Bratislava, Slovakia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A form of genomic alteration called microsatellite instability (MSI) occurs in a class of tandem repeats (TRs) called microsatellites (MSs) or short tandem repeats (STRs) due to the failure of a post-replicative DNA mismatch repair (MMR) system. Traditionally, the strategies for determining MSI events have been low-throughput procedures that typically require assessment of tumours as well as healthy samples. On the other hand, recent large-scale pan-tumour studies have consistently highlighted the potential of massively parallel sequencing (MPS) on the MSI scale. As a result of recent innovations, minimally invasive methods show a high potential to be integrated into the clinical routine and delivery of adapted medical care to all patients. Along with advances in sequencing technologies and their ever-increasing cost-effectiveness, they may bring about a new era of Predictive, Preventive and Personalised Medicine (3PM). In this paper, we offered a comprehensive analysis of high-throughput strategies and computational tools for the calling and assessment of MSI events, including whole-genome, whole-exome and targeted sequencing approaches. We also discussed in detail the detection of MSI status by current MPS blood-based methods and we hypothesised how they may contribute to the shift from conventional medicine to predictive diagnosis, targeted prevention and personalised medical services. Increasing the efficacy of patient stratification based on MSI status is crucial for tailored decision-making. Contextually, this paper highlights drawbacks both at the technical level and those embedded deeper in cellular/molecular processes and future applications in routine clinical testing.

Indexed as

CancerLiquid biopsyMassively parallel sequencingMicrosatellite instabilityPatient stratificationPredictive Preventive Personalised Medicine (PPPM / 3PM)Screening

Identifiers

PMID36866160
PMCPMC9971410

What OpenQuestion holds

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Registered trials

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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.