Establishment of a potential reference measurement procedure and reference material for <i>PIK3CA</i> H1047R mutation detection

<i>PIK3CA</i> gene mutation is a promising predictor for many different human cancers, especially for breast cancer. Increasing numbers of non-invasive methods have been developed for the detection of <i>PIK3CA</i> mutations. However, a lack of reference measurement procedures (RMPs) and reference materials (RMs) impedes the consistency and comparability of test results in clinical practice. In this study, a potential RMP based on digital PCR (dPCR) and a genomic reference material (RM) for <i>PIK3CA</i> H1047R mutation have been established. The reference method showed good linearity (slope = 1.0078, <i>R</i><sup>2</sup> = 0.9999) between the measured and prepared mutant values across the variant allele frequency range from 40% to 0.2%. The limit of detection (LoD) for H1047R was 2.9 copies per μL, corresponding to a fractional abundance of 0.38%. The genomic RM was developed, and its homogeneity and stability assessment indicated that the RM was homogeneous and stable for 16 months at -80 °C. The RM for <i>PIK3CA</i> H1047R was characterized using the established RMP, with the reference values of the copy number concentration for the H1047R mutant and wild-type and fractional abundance being (7.02 ± 0.37) × 10<sup>3</sup> copies per μL, (7.09 ± 0.37) × 10<sup>3</sup> copies per μL, and 49.75% ± 1.69%, respectively. Three test kits were assessed by the RM, and one of the kits displayed inconsistency with the claimed LoD. This indicates that the gDNA RM can provide a useful solution for improving the detection performance and quality control of <i>PIK3CA</i> H1047R assays.

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Journal
Analytical Methods
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ay00429b
Primary Topic
Cancer Genomics and Diagnostics
Type
article
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article

Establishment of a potential reference measurement procedure and reference material for PIK3CA H1047R mutation detection

Yuqian Jia, Siwei Wang, Haijiao Dong, Jie Sun et al.
Analytical Methods
Cancer Genomics and Diagnostics
article

Establishment of a potential reference measurement procedure and reference material for PIK3CA H1047R mutation detection

Yuqian Jia, Siwei Wang, Haijiao Dong, Jie Sun, Bei Huang, Zhuoying Xie, Hongchao Ji, Zhaoqian Liu, Jiayi Qian, Zhongze Gu
article en

Abstract

<i>PIK3CA</i> gene mutation is a promising predictor for many different human cancers, especially for breast cancer. Increasing numbers of non-invasive methods have been developed for the detection of <i>PIK3CA</i> mutations. However, a lack of reference measurement procedures (RMPs) and reference materials (RMs) impedes the consistency and comparability of test results in clinical practice. In this study, a potential RMP based on digital PCR (dPCR) and a genomic reference material (RM) for <i>PIK3CA</i> H1047R mutation have been established. The reference method showed good linearity (slope = 1.0078, <i>R</i><sup>2</sup> = 0.9999) between the measured and prepared mutant values across the variant allele frequency range from 40% to 0.2%. The limit of detection (LoD) for H1047R was 2.9 copies per μL, corresponding to a fractional abundance of 0.38%. The genomic RM was developed, and its homogeneity and stability assessment indicated that the RM was homogeneous and stable for 16 months at -80 °C. The RM for <i>PIK3CA</i> H1047R was characterized using the established RMP, with the reference values of the copy number concentration for the H1047R mutant and wild-type and fractional abundance being (7.02 ± 0.37) × 10<sup>3</sup> copies per μL, (7.09 ± 0.37) × 10<sup>3</sup> copies per μL, and 49.75% ± 1.69%, respectively. Three test kits were assessed by the RM, and one of the kits displayed inconsistency with the claimed LoD. This indicates that the gDNA RM can provide a useful solution for improving the detection performance and quality control of <i>PIK3CA</i> H1047R assays.

Analytical MethodsVol. 17(39)
Shanghai Institute of Measurement and Testing Technology (CN), Changzhou University (CN), Southeast University (CN), Nanjing Medical University (CN)
Openalex Percentile: Top 68%
Cancer Genomics and Diagnostics
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