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Clinical application of a highly sensitive digital PCR assay to detect a small fraction of IDH1 R132H-mutant alleles in diffuse gliomas

  • 29-07-2022
  • Glioma
  • Original Article
Published in:

Abstract

The current World Health Organization classification of diffuse astrocytic and oligodendroglial tumors requires the examination of isocitrate dehydrogenase 1 (IDH1) or IDH2 mutations. Conventional analysis tools, including Sanger DNA sequencing or pyrosequencing, fail in detecting these variants of low frequency owing to their limited sensitivity. Digital polymerase chain reaction (dPCR) is a recently developed, highly sensitive, and precise quantitative rare variant assay. This study aimed to establish a robust limit of quantitation of the dPCR assay to detect a small fraction of IDH1 R132H mutation. The dPCR assays with serially diluted IDH1 R132H constructs detected 0.05% or more of mutant IDH1 R132H in samples containing mutant DNA. The measured target/total value of the experiments was proportional to the dilution factors and was almost equal to the actual frequencies of the mutant alleles. Based on the average target/total values, together with a twofold standard deviation of the normal DNA, a limit of quantitation of 0.25% was set to secure a safe margin to judge the mutation status of the IDH1 R132H dPCR assay. In clinical settings, detecting IDH1 R132H using dPCR assays can validate ambiguous immunohistochemistry results even when conventional DNA sequencing cannot detect the mutation and assure diagnostic quality.
Title
Clinical application of a highly sensitive digital PCR assay to detect a small fraction of IDH1 R132H-mutant alleles in diffuse gliomas
Authors
Kaishi Satomi
Akihiko Yoshida
Yuko Matsushita
Hirokazu Sugino
Kenji Fujimoto
Mai Honda-Kitahara
Masamichi Takahashi
Makoto Ohno
Yasuji Miyakita
Yoshitaka Narita
Yasushi Yatabe
Junji Shibahara
Koichi Ichimura
Publication date
29-07-2022
Publisher
Springer Nature Singapore
Keywords
Glioma
Glioma
Glioma
Published in
Brain Tumor Pathology / Issue 4/2022
Print ISSN: 1433-7398
Electronic ISSN: 1861-387X
DOI
https://doi.org/10.1007/s10014-022-00442-5
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