Evidence map›Paper›PMID 39300198›Full record

ArticleScientific reports2024

The ATOM-Seq sequence capture panel can accurately predict microsatellite instability status in formalin-fixed tumour samples, alongside routine gene mutation testing.

Kanishta Srihar, Arief Gusnanto, Susan D Richman, Nicholas P West, Leanne Galvin, Daniel Bottomley, Gemma Hemmings, Amy Glover, Subaashini Natarajan, Rebecca Miller and 9 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Kanishta SriharPathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.
Arief GusnantoDepartment of Statistics, University of Leeds, Leeds, UK.
Susan D RichmanPathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.
Nicholas P WestPathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.
Leanne GalvinPathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.
Daniel BottomleyPathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.
Gemma HemmingsPathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.
Amy GloverPathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.
Subaashini NatarajanPathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.
Rebecca MillerPathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.
Sameira ArifPathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.
Hannah RossingtonPathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.
Thomas L DunwellGeneFirst Ltd., Abingdon, UK.
Simon C DaileyGeneFirst Ltd., Abingdon, UK.
Gracielle FontarumGeneFirst Ltd., Abingdon, UK.
Agnes GeorgeGeneFirst Ltd., Abingdon, UK.
Winnie WuGeneFirst Ltd., Abingdon, UK.
Phil QuirkePathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK.
Henry M WoodPathology and Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK. h.m.wood@leeds.ac.uk.

Funding

National Institute for Health and Care Research 120400Yorkshire Cancer Research L394
6 · The paper itself

Abstract

Microsatellite instability (MSI) occurs across a number of cancers and is associated with different clinical characteristics when compared to microsatellite stable (MSS) cancers. As MSI cancers have different characteristics, routine MSI testing is now recommended for a number of cancer types including colorectal cancer (CRC). Using gene panels for sequencing of known cancer mutations is routinely performed to guide treatment decisions. By adding a number of MSI regions to a small gene panel, the efficacy of simultaneous MSI detection in a series of CRCs was tested. Tumour DNA from formalin-fixed, paraffin-embedded (FFPE) tumours was sequenced using a 23-gene panel kit (ATOM-Seq) provided by GeneFirst. The mismatch repair (MMR) status was obtained for each patient from their routine pathology reports, and compared to MSI predictions from the sequencing data. By testing 29 microsatellite regions in 335 samples the MSI status was correctly classified in 314/319 samples (98.4% concordance), with sixteen failures. By reducing the number of regions in silico, comparable performance could be reached with as few as eight MSI marker positions. This test represents a quick, and accurate means of determining MSI status in FFPE CRC samples, as part of a routine gene mutation assay, and can easily be incorporated into a research or diagnostic setting. This could replace separate mutation and MSI tests with no loss of accuracy, thus improving testing efficiency.

Indexed as

Colorectal NeoplasmsFormaldehydeMicrosatellite InstabilityMutationTissue FixationAgedDNA Mismatch RepairDNA Mutational AnalysisFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedParaffin EmbeddingFormaldehydeColorectal cancerGene panelMicrosatellite instabilityMismatch repair

Identifiers

PMID39300198
PMCPMC11413368

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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.