Evidence map›Paper›PMID 29329588›Full record

ArticleJournal of translational medicine2018

Accuracy of four mononucleotide-repeat markers for the identification of DNA mismatch-repair deficiency in solid tumors.

Yuko Takehara, Takeshi Nagasaka, Akihiro Nyuya, Tomoko Haruma, Junko Haraga, Yoshiko Mori, Keiichiro Nakamura, Toshiyoshi Fujiwara, C Richard Boland, Ajay Goel

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

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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

10 authors at 3 institutions in 2 countries.

Yuko TakeharaDepartment of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Okayama, 700-8558, Japan.
Takeshi NagasakaDepartment of Clinical Oncology, Kawasaki Medical School, 577 Matsushima, Kurashiki-City, Okayama, 701-0192, Japan. takeshin@med.kawasaki-m.ac.jp.ORCID 0000-0002-4236-350X
Akihiro NyuyaDepartment of Clinical Oncology, Kawasaki Medical School, 577 Matsushima, Kurashiki-City, Okayama, 701-0192, Japan.
Tomoko HarumaDepartment of Obstetrics and Gynecology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Okayama, 700-8558, Japan.
Junko HaragaDepartment of Obstetrics and Gynecology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Okayama, 700-8558, Japan.
Yoshiko MoriDepartment of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Okayama, 700-8558, Japan.
Keiichiro NakamuraDepartment of Obstetrics and Gynecology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Okayama, 700-8558, Japan.
Toshiyoshi FujiwaraDepartment of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Okayama, 700-8558, Japan.
C Richard BolandCenter for Gastrointestinal Research, Center for Translational Genomics and Oncology, Baylor Scott& White Research Institute and Charles A Sammons Cancer Center, Baylor University Medical Center, 3410 Worth Street, Suite 610, Dallas, TX, 75246, USA.
Ajay GoelCenter for Gastrointestinal Research, Center for Translational Genomics and Oncology, Baylor Scott& White Research Institute and Charles A Sammons Cancer Center, Baylor University Medical Center, 3410 Worth Street, Suite 610, Dallas, TX, 75246, USA. Ajay.Goel@BSWHealth.org.
Okayama University · JPBaylor University Medical Center · USKawasaki Medical School · JP

Funding

The Biology and Diagnosis of HNPCCR01CA072851 · NCI · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI GOEL, AJAY · 1996 to 2019
$6.6M
Aspirin and Cancer Prevention in Lynch Syndrome: From Cell to Population DataU01CA187956 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GOEL, AJAY, WODARZ, DOMINIK F · 2014 to 2018
$2.7M
MicroRNA Biomarkers for Determining Treatment Response in Colorectal CancerR01CA202797 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GOEL, AJAY · 2016 to 2020
$1.9M
Development of microRNA Biomarkers For Noninvasive Detection of Colorectal CancerR01CA184792 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GOEL, AJAY · 2015 to 2019
$1.8M
METHYLATION BIOMARKER DEVELOPMENT FOR NONINVASIVE DETECTION OF COLORECTAL CANCERR01CA181572 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GOEL, AJAY · 2014 to 2018
$1.6M
Cancer Prevention and Research Institute of Texas RP140784Division of Cancer Epidemiology and Genetics, National Cancer Institute CA184792Division of Cancer Epidemiology and Genetics, National Cancer Institute CA202797Division of Cancer Epidemiology and Genetics, National Cancer Institute R01 CA72851Division of Cancer Epidemiology and Genetics, National Cancer Institute (US) CA181572Japan Society for the Promotion of Science 15H03034Japan Society for the Promotion of Science 20590572Japan Society for the Promotion of Science 25860409Japan Society for the Promotion of Science 26462016NCI NIH HHS R01 CA072851NCI NIH HHS R01 CA181572NCI NIH HHS R01 CA184792NCI NIH HHS R01 CA202797NCI NIH HHS U01 CA187956
6 · The paper itself

Abstract

backgroundTo screen tumors with microsatellite instability (MSI) arising due to DNA mismatch repair deficiency (dMMR), a panel of five quasi-monomorphic mononucleotide-repeat markers amplified in a multiplex PCR (Pentaplex) are commonly used. In spite of its several strengths, the pentaplex assay is not robust at detecting the loss of MSH6-deficiency (dMSH6). In order to overcome this challenge, we designed this study to develop and optimize a panel of four quasi-monomorphic mononucleotide-repeat markers (Tetraplex) for identifying solid tumors with dMMR, especially dMSH6.

methodsTo improve the sensitivity for tumors with dMMR, we established a quasi-monomorphic variant range (QMVR) of 3-4 bp for the four Tetraplex markers. Thereafter, to confirm the accuracy of this assay, we examined 317 colorectal cancer (CRC) specimens, comprising of 105 dMMR [45 MutL homolog (MLH)1-deficient, 45 MutS protein homolog (MSH)2-deficient, and 15 MSH6-deficient tumors] and 212 MMR-proficient (pMMR) tumors as a test set. In addition, we analyzed a cohort of 138 endometrial cancers (EC) by immunohistochemistry to determine MMR protein expression and validation of our new MSI assay.

resultsUsing the criteria of ≥ 1 unstable markers as MSI-positive tumor, our assay resulted in a sensitivity of 97.1% [95% confidence interval (CI) = 91.9-99.0%] for dMMR, and a specificity of 95.3% (95% CI = 91.5-97.4%) for pMMR CRC specimens. Among the 138 EC specimens, 41 were dMMR according to immunohistochemistry. Herein, our Tetraplex assay detected dMMR tumors with a sensitivity of 92.7% (95% CI = 80.6-97.5%) and a specificity of 97.9% (95% CI = 92.8-99.4%) for pMMR tumors. With respect to tumors with dMSH6, in the CRC-validation set, Tetraplex detected dMSH6 tumors with a sensitivity of 86.7% (13 of 15 dMSH6 CRCs), which was subsequently validated in the EC test set as well (sensitivity, 75.0%; 6 of 8 dMSH6 ECs).

conclusionsOur newly optimized Tetraplex system will help offer a robust and highly sensitive assay for the identification of dMMR in solid tumors.

Indexed as

AllelesBiomarkers, TumorColorectal NeoplasmsDNADNA Mismatch RepairGerm CellsHumansMicrosatellite RepeatsNeoplasmsReproducibility of ResultsBiomarkers, TumorDNAColorectal cancerDNA mismatch repairEndometrial cancerHypermutated tumorsMicrosatellite instability

Identifiers

PMID29329588
PMCPMC5767035
OpenAlexW2782769831

What OpenQuestion holds

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LicenceCC BY
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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.