Evidence map›Paper›PMID 27529619›Full record

ArticlePloS one2016

Precise Detection of IDH1/2 and BRAF Hotspot Mutations in Clinical Glioma Tissues by a Differential Calculus Analysis of High-Resolution Melting Data.

Ryusuke Hatae, Nobuhiro Hata, Koji Yoshimoto, Daisuke Kuga, Yojiro Akagi, Hideki Murata, Satoshi O Suzuki, Masahiro Mizoguchi, Koji Iihara

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 43 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

9 authors at 1 institution in 1 country.

Ryusuke HataeDepartment of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Nobuhiro HataDepartment of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.ORCID http://orcid.org/0000-0002-5523-7166
Koji YoshimotoDepartment of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Daisuke KugaDepartment of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Yojiro AkagiDepartment of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Hideki MurataDepartment of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Satoshi O SuzukiDepartment of Neuropathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Masahiro MizoguchiDepartment of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Koji IiharaDepartment of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Kyushu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High resolution melting (HRM) is a simple and rapid method for screening mutations. It offers various advantages for clinical diagnostic applications. Conventional HRM analysis often yields equivocal results, especially for surgically obtained tissues. We attempted to improve HRM analyses for more effective applications to clinical diagnostics. HRM analyses were performed for IDH1R132 and IDH2R172 mutations in 192 clinical glioma samples in duplicate and these results were compared with sequencing results. BRAFV600E mutations were analyzed in 52 additional brain tumor samples. The melting profiles were used for differential calculus analyses. Negative second derivative plots revealed additional peaks derived from heteroduplexes in PCR products that contained mutations; this enabled unequivocal visual discrimination of the mutations. We further developed a numerical expression, the HRM-mutation index (MI), to quantify the heteroduplex-derived peak of the mutational curves. Using this expression, all IDH1 mutation statuses matched those ascertained by sequencing, with the exception of three samples. These discordant results were all derived from the misinterpretation of sequencing data. The effectiveness of our approach was further validated by analyses of IDH2R172 and BRAFV600E mutations. The present analytical method enabled an unequivocal and objective HRM analysis and is suitable for reliable mutation scanning in surgically obtained glioma tissues. This approach could facilitate molecular diagnostics in clinical environments.

Indexed as

Transition TemperatureDNA Mutational AnalysisGliomaHumansIsocitrate DehydrogenaseNucleic Acid DenaturationProto-Oncogene Proteins B-rafStatistics as TopicIDH1 protein, humanIDH2 protein, humanIsocitrate DehydrogenaseProto-Oncogene Proteins B-raf

Identifiers

PMID27529619
PMCPMC4987040
OpenAlexW2509033944

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.