Evidence map›Paper›PMID 29632127›Full record

ArticleClinical chemistry2018

Accurate Pan-Cancer Molecular Diagnosis of Microsatellite Instability by Single-Molecule Molecular Inversion Probe Capture and High-Throughput Sequencing.

Adam Waalkes, Nahum Smith, Kelsi Penewit, Jennifer Hempelmann, Eric Q Konnick, Ronald J Hause, Colin C Pritchard, Stephen J Salipante

Open access · bronzeAbstract read
In one paragraph

Article in Clinical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
8.3field-weighted citation impact, top 2% of its field
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

38 citing papers in PubMed, 70 citations in OpenAlex.

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  16. Assessment of Microsatellite Instability from Next-Generation Sequencing Data.Advances in experimental medicine and biology · 2022
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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

8 authors at 1 institution in 1 country.

Adam WaalkesDepartment of Laboratory Medicine, University of Washington, Seattle, WA.
Nahum SmithDepartment of Laboratory Medicine, University of Washington, Seattle, WA.
Kelsi PenewitDepartment of Laboratory Medicine, University of Washington, Seattle, WA.
Jennifer HempelmannDepartment of Laboratory Medicine, University of Washington, Seattle, WA.
Eric Q KonnickDepartment of Laboratory Medicine, University of Washington, Seattle, WA.
Ronald J HauseDepartment of Genome Sciences, University of Washington, Seattle, WA.
Colin C PritchardDepartment of Laboratory Medicine, University of Washington, Seattle, WA.
Stephen J SalipanteDepartment of Laboratory Medicine, University of Washington, Seattle, WA; stevesal@uw.edu.
University of Washington · US

Funding

Advanced development and validation of targeted molecular counting methods for precise and ultrasensitive quantitation of low prevalence somatic mutationsR33CA192980 · NCI · UNIVERSITY OF WASHINGTON · PI SALIPANTE, STEPHEN J · 2015 to 2018
$1.3M
Advanced development and validation of genome-scale molecular diagnostics for microsatelliteinstability using targeted molecular counting methodsR33CA222344 · NCI · UNIVERSITY OF WASHINGTON · PI SALIPANTE, STEPHEN J · 2018 to 2020
$1.1M
NCI NIH HHS R33 CA192980NCI NIH HHS R33 CA222344
6 · The paper itself

Abstract

backgroundMicrosatellite instability (MSI) is an emerging actionable phenotype in oncology that informs tumor response to immune checkpoint pathway immunotherapy. However, there remains a need for MSI diagnostics that are low cost, highly accurate, and generalizable across cancer types. We developed a method for targeted high-throughput sequencing of numerous microsatellite loci with pan-cancer informativity for MSI using single-molecule molecular inversion probes (smMIPs).

methodsWe designed a smMIP panel targeting 111 loci highly informative for MSI across cancers. We developed an analytical framework taking advantage of smMIP-mediated error correction to specifically and sensitively detect instability events without the need for typing matched normal material.

resultsUsing synthetic DNA mixtures, smMIPs were sensitive to at least 1% MSI-positive cells and were highly consistent across replicates. The fraction of identified unstable microsatellites discriminated tumors exhibiting MSI from those lacking MSI with high accuracy across colorectal (100% diagnostic sensitivity and specificity), prostate (100% diagnostic sensitivity and specificity), and endometrial cancers (95.8% diagnostic sensitivity and 100% specificity). MSI-PCR, the current standard-of-care molecular diagnostic for MSI, proved equally robust for colorectal tumors but evidenced multiple false-negative results in prostate (81.8% diagnostic sensitivity and 100% specificity) and endometrial (75.0% diagnostic sensitivity and 100% specificity) tumors.

conclusionssmMIP capture provides an accurate, diagnostically sensitive, and economical means to diagnose MSI across cancer types without reliance on patient-matched normal material. The assay is readily scalable to large numbers of clinical samples, enables automated and quantitative analysis of microsatellite instability, and is readily standardized across clinical laboratories.

Indexed as

Microsatellite InstabilityHigh-Throughput Nucleotide SequencingHumansLimit of DetectionMolecular Diagnostic TechniquesNeoplasmsPolymerase Chain ReactionReproducibility of Results

Identifiers

PMID29632127
PMCPMC6190826
OpenAlexW2796648998

What OpenQuestion holds

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Registered trials

None linked

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.