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

Abstract

PIK3CA 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 PIK3CA 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 PIK3CA H1047R mutation have been established. The reference method showed good linearity (slope = 1.0078, R2 = 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 PIK3CA 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) × 103 copies per μL, (7.09 ± 0.37) × 103 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 PIK3CA H1047R assays.

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

Supplementary files

Article information

Article type
Paper
Submitted
14 Mar 2025
Accepted
17 Jul 2025
First published
23 Sep 2025

Anal. Methods, 2025, Advance Article

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

S. Wang, H. Ji, Y. Jia, B. Huang, H. Dong, Z. Liu, Z. Xie, J. Sun, J. Qian and Z. Gu, Anal. Methods, 2025, Advance Article , DOI: 10.1039/D5AY00429B

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